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Yin S, Yu Y, Wu N, Zhuo M, Wang Y, Niu Y, Ni Y, Hu F, Ding C, Liu H, Cheng X, Peng J, Li J, He Y, Li J, Wang J, Zhang H, Zhai X, Liu B, Wang Y, Yan S, Chen M, Li W, Peng J, Peng F, Xi R, Ye B, Jiang L, Xi JJ. Patient-derived tumor-like cell clusters for personalized chemo- and immunotherapies in non-small cell lung cancer. Cell Stem Cell 2024:S1934-5909(24)00090-0. [PMID: 38593797 DOI: 10.1016/j.stem.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 01/11/2024] [Accepted: 03/11/2024] [Indexed: 04/11/2024]
Abstract
Many patient-derived tumor models have emerged recently. However, their potential to guide personalized drug selection remains unclear. Here, we report patient-derived tumor-like cell clusters (PTCs) for non-small cell lung cancer (NSCLC), capable of conducting 100-5,000 drug tests within 10 days. We have established 283 PTC models with an 81% success rate. PTCs contain primary tumor epithelium self-assembled with endogenous stromal and immune cells and show a high degree of similarity to the original tumors in phenotypic and genotypic features. Utilizing standardized culture and drug-response assessment protocols, PTC drug-testing assays reveal 89% overall consistency in prospectively predicting clinical outcomes, with 98.1% accuracy distinguishing complete/partial response from progressive disease. Notably, PTCs enable accurate prediction of clinical outcomes for patients undergoing anti-PD1 therapy by combining cell viability and IFN-γ value assessments. These findings suggest that PTCs could serve as a valuable preclinical model for personalized medicine and basic research in NSCLC.
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Affiliation(s)
- Shenyi Yin
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Ying Yu
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Nan Wu
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Minglei Zhuo
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Yanmin Wang
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Yanjie Niu
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China
| | - Yiqian Ni
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China
| | - Fang Hu
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China
| | - Cuiming Ding
- Department of Respiratory Medicine, The Fourth Hospital of Hebei University, Shijiazhuang, Hebei Province, China
| | - Hongsheng Liu
- Department of Thoracic Oncology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Dongcheng District, Beijing, China
| | - Xinghua Cheng
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China
| | - Jin Peng
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China
| | - Juan Li
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Yang He
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Jiaxin Li
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Junyi Wang
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Hanshuo Zhang
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China; GeneX Health Co, Ltd, Beijing 100195, China
| | - Xiaoyu Zhai
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Bing Liu
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Yaqi Wang
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Shi Yan
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Mailin Chen
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Wenqing Li
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Jincui Peng
- Department of Respiratory Medicine, The Fourth Hospital of Hebei University, Shijiazhuang, Hebei Province, China
| | - Fei Peng
- Department of Respiratory Medicine, The Fourth Hospital of Hebei University, Shijiazhuang, Hebei Province, China
| | - Ruibin Xi
- School of Mathematical Sciences, Center for Statistical Science and Department of Biostatistics, Peking University, Beijing 100871, China
| | - Buqing Ye
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.
| | - Liyan Jiang
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China.
| | - Jianzhong Jeff Xi
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.
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Zhang J, Chen H, Zhang J, Wang S, Guan Y, Gu W, Li J, Zhang X, Li J, Wang X, Lu Z, Zhou J, Peng Z, Sun Y, Shao Y, Shen L, Zhuo M, Lu M. Molecular features of gastroenteropancreatic neuroendocrine carcinoma: A comparative analysis with lung neuroendocrine carcinoma and digestive adenocarcinomas. Chin J Cancer Res 2024; 36:90-102. [PMID: 38455367 PMCID: PMC10915635 DOI: 10.21147/j.issn.1000-9604.2024.01.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/10/2024] [Indexed: 03/09/2024] Open
Abstract
Objective There is an ongoing debate about whether the management of gastroenteropancreatic (GEP) neuroendocrine carcinoma (NEC) should follow the guidelines of small-cell lung cancer (SCLC). We aim to identify the genetic differences of GEPNEC and its counterpart. Methods We recruited GEPNEC patients as the main cohort, with lung NEC and digestive adenocarcinomas as comparative cohorts. All patients undergone next-generation sequencing (NGS). Different gene alterations were compared and analyzed between GEPNEC and lung NEC (LNEC), GEPNEC and adenocarcinoma to yield the remarkable genes. Results We recruited 257 patients, including 99 GEPNEC, 57 LNEC, and 101 digestive adenocarcinomas. Among the mutations, KRAS, RB1, TERT, IL7R, and CTNNB1 were found to have different gene alterations between GEPNEC and LNEC samples. Specific genes for each site were revealed: gastric NEC ( TERT amplification), colorectal NEC ( KRAS mutation), and bile tract NEC ( ARID1A mutation). The gene disparities between small-cell NEC (SCNEC) and large-cell NEC (LCNEC) were KEAP1 and CDH1. Digestive adenocarcinoma was also compared with GEPNEC and suggested RB1, APC, and KRAS as significant genes. The TP53/ RB1 mutation pattern was associated with first-line effectiveness. Putative targetable genes and biomarkers in GEPNEC were identified in 22.2% of the patients, and they had longer progression-free survival (PFS) upon targetable treatment [12.5 months vs. 3.0 months, HR=0.40 (0.21-0.75), P=0.006]. Conclusions This work demonstrated striking gene distinctions in GEPNEC compared with LNEC and adenocarcinoma and their clinical utility.
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Affiliation(s)
- Jianwei Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
- Department of Radiation Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518172, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Junli Zhang
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing 210061, China
| | - Sha Wang
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing 210061, China
| | | | | | - Jie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Xiaotian Zhang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Jian Li
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Xicheng Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhihao Lu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Jun Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhi Peng
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yu Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yang Shao
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing 210061, China
| | - Lin Shen
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Ming Lu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
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Chen H, Ma X, Liu J, Yang Y, He Y, Fang Y, Wang L, Fang J, Zhao J, Zhuo M. Real-world evaluation of first-line treatment of extensive-stage small-cell lung cancer with atezolizumab plus platinum/etoposide: a focus on patients with brain metastasis. Clin Transl Oncol 2024:10.1007/s12094-024-03387-7. [PMID: 38329610 DOI: 10.1007/s12094-024-03387-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/06/2024] [Indexed: 02/09/2024]
Abstract
PURPOSE A previous real-world study conducted in China confirmed that first-line atezolizumab, in combination with etoposide/platinum (EP), leads to significantly longer progression-free survival (PFS) compared to EP alone in patients with extensive-stage small-cell lung cancer (ES-SCLC). The present study aimed to provide updated survival outcome data and evaluate the clinical efficacy of atezolizumab plus chemotherapy in ES-SCLC patients with brain metastasis (BM). METHODS This retrospective study included 225 patients with ES-SCLC who were treated with EP alone (EP group) or a combination of EP + atezolizumab (atezolizumab group). Survival outcomes for the total study sample and patients in the BM subgroup were estimated using the Kaplan-Meier method. RESULTS The atezolizumab group continued to demonstrate significantly longer PFS than the EP group (hazard ratio [HR], 0.68). The median overall survival (OS) was 26.2 months in the atezolizumab group vs. 14.8 months in the EP group (HR, 0.63). Additionally, among the BM patients in our study, the median PFS was found to be longer in the atezolizumab group (7.0 months) than in the EP group (4.1 months) (HR, 0.46). The OS of the BM patients did not differ significantly between the two treatment groups. CONCLUSIONS The addition of atezolizumab to EP as a first-line treatment for ES-SCLC was found to improve survival outcomes. This treatment combination may also prolong PFS in patients with BM, regardless of the administration of cranial irradiation. However, among the BM patients in our study, there was no significant difference in OS between the two treatment groups.
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Affiliation(s)
- Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiangjuan Ma
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department II of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jie Liu
- Cancer Center, Shandong Public Health Clinical Center, Public Health Clinical Center Affiliated to Shandong University, Shandong University, Jinan, China
| | - Yu Yang
- Department of Oncology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yanhui He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yong Fang
- Department of Oncology, Sir Run Run Shaw Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Liping Wang
- Department of Oncology, Baotou Cancer Hospital, Baotou, China
| | - Jian Fang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department II of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
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Zhu Y, Li S, Wang H, Chi K, Ren W, Huang X, Zhuo M, Lin D. Molecular subtype expression and genomic profiling differ between surgically resected pure and combined small cell lung carcinoma. Hum Pathol 2023; 141:118-129. [PMID: 37586462 DOI: 10.1016/j.humpath.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 08/18/2023]
Abstract
A new molecular subtype classification method has been proposed for small cell lung carcinoma (SCLC). However, little is known about the differences between the pure (P-SCLC) and combined subtypes (C-SCLC). We aimed to compare the molecular subtype expression and genomic profiling in terms of clinical relevance between the two groups. 154 surgically resected SCLCs were analyzed for protein expression of four subtypes (ASCL1, NEUROD1, POU2F3, and YAP1) and two predictive markers (DLL3 and MYC) by immunohistochemistry (IHC). We also performed whole exome sequencing of 60 samples to examine genomic profiles. A total of 113 patients with P-SCLC and 41 with C-SCLC were included. In P-SCLC and C-SCLC, the expression of these markers was 78.8% and 41.5%, 98.2% and 97.6%, 42.5% and 51.2%, 38.9% and 85.4%, 85.0% and 68.3%, and 24.8% and 34.1%, respectively. ASCL1 and DLL3 were highly expressed in P-SCLC (p = 0.000 and p = 0.021, respectively), and YAP1 expression was significantly enriched in C-SCLC (p = 0.000). NGS results, including 45 P-SCLCs and 15 C-SCLCs, indicated that EGFR gene mutations were mostly observed in C-SCLCs (p = 0.000). C-SCLC showed higher CNA burden and wGII than P-SCLC (p < 0.01 and p < 0.05); conversely, P-SCLC had higher TMB burden and SDI (p < 0.05 and p < 0.05). YAP1 expression was associated with poor prognosis in P-SCLC but with favorable prognosis in C-SCLC. P-SCLC and C-SCLC are heterogeneous diseases characterized by different molecular subtype expressions and genomic profiles. Our data provide a basis for adopting histological subtype-based treatments, and further prospective studies are required to confirm our conclusions.
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Affiliation(s)
- Yanli Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Sheng Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department I of Thoracic Oncology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Haiyue Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Kaiwen Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Wenhao Ren
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Xiaozheng Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department I of Thoracic Oncology, Peking University Cancer Hospital and Institute, Beijing, 100142, China.
| | - Dongmei Lin
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China.
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Yu J, Jiang L, Zhao L, Wang X, Yang X, Yang D, Zhuo M, Chen H, Zhao YD, Zhou F, Li Q, Zhu Z, Chu L, Ma Z, Wang Q, Qu Y, Huang W, Zhang M, Gu T, Liu S, Yang Y, Yang J, Yu H, Yu R, Zhao J, Shi A. High Dose Hyperfractionated Thoracic Radiotherapy vs. Standard Dose for Limited Stage Small-Cell Lung Cancer: A Multicenter, Open-Label Randomized, Phase 3 Trial. Int J Radiat Oncol Biol Phys 2023; 117:S1. [PMID: 37784261 DOI: 10.1016/j.ijrobp.2023.06.205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Limited stage small-cell lung cancer (LS-SCLC) is associated with poor prognosis. We aimed to assess the efficacy and safety of high-dose, hyperfractionated thoracic radiotherapy of 54 Gy in 30 fractions compared with standard dose (45 Gy in 30 fractions) as a first-line treatment for LS-SCLC. MATERIALS/METHODS The study was an open-label, randomized, phase 3 trial, done at 16 public hospitals in China. Key inclusion criteria were patients aged 18-70 years, with previously histologically or cytologically confirmed LS-SCLC, previously untreated or received 1-2 courses of intravenous cisplatin (75 mg/m²of body-surface area, on day 1 or divided into two days of each cycle) or carboplatin (area under the curve of 5 mg/mL per min, day 1 of each cycle)and intravenous etoposide (100 mg/m²of body-surface area, on days 1-3 of each cycle), and an Eastern Cooperative Oncology Group (ECOG) performance status of 0-1.Eligible patients were randomly assigned (1:1) to receive volumetric-modulated arc radiotherapy (VMAT) of 45 Gy in 30 fractions or the simultaneous integrated boost VMAT (SIB-VMAT) of 54 Gy in 30 fractions to the primary lung tumor and lymph node metastases starting 0-42 days after the first chemotherapy course. Both groups of patients received thoracic radiotherapy twice per day and 10 fractions per week. Prophylactic cranial radiation (PCI, 25 Gy in 10 fractions) was implemented to patients with responsive disease. The primary endpoint was overall survival. Safety was analyzed in the as-treated population. RESULTS Between June 30, 2017, and April 6, 2021, 224 eligible patients were enrolled and randomly assigned to 54 Gy (n = 108) or 45 Gy (n = 116). Median follow-up for the primary analysis was 45 months (IQR 41-48). Median overall survival was significantly improved in the 54 Gy group (62.4 months) compared with the 45 Gy group (43.1 months; p = 0.001). Median progression-free survival was significantly improved in the 54 Gy group (30.5 months) compared with the 45 Gy group (16.7 months; p = 0.044). The most common grade 3-4 adverse events were neutropenia (30 [28%] of 108 patients in the 54 Gy group vs 27 [23%] of 116 patients in the 45 Gy group), neutropenic infections (6 [6%] vs 2 [2%]), thrombocytopenia (13 [12%] vs 12 [10%]), anemia (6 [6%] vs 4 [3%]), and esophagitis (1 [1%] vs 3 [3%]). Treatment-related serious adverse events occurred in 9 [8%] patients in the 54 Gy group and 16 [14%] patients in the 45 Gy group. There were one treatment-related deaths in 54 Gy group (myocardial infarction). CONCLUSION Compared with standard thoracic radiotherapy dose of 45 Gy, the high dose of 54 Gy improved overall survival and progression-free survival without increasing toxicities in patients with LS-SCLC, supporting twice-daily hyperfractionated thoracic radiotherapy of 54 Gy with concurrent chemotherapy is an alternative treatment option for LS-SCLC. This study is complete and registered with ClinicalTrials.gov, NCT03214003.
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Affiliation(s)
- J Yu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - L Jiang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - L Zhao
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University. ty, Xi'an, China
| | - X Wang
- Department of Radiation Oncology, Anyang Cancer Hospital, Anyang, China
| | - X Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China., Beijing, China
| | - D Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - M Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China., Beijing, China
| | - H Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China., Beijing, China
| | - Y D Zhao
- Department of Radiation Oncology, Anyang Tumor Hospital, Anyang, China
| | - F Zhou
- Yantai Yuhuangding Hospital, Yantai, China
| | - Q Li
- Ordos School of Clinical Medicine I.M.M.U, Ordos, China
| | - Z Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - L Chu
- Fudan University Shanghai Cancer Center, Shanghai, China
| | - Z Ma
- Chifeng Affiliated Hospital, Chifeng, China
| | - Q Wang
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Chengdu, China
| | - Y Qu
- Liaoning cancer hospital & institute, Shenyang, China
| | - W Huang
- Shandong Cancer Hospital & Institute, Jinan, Shandong, China
| | - M Zhang
- Department of Radiation Oncology, Peking University People's Hospital, Beijing, China; Department of Radiation Oncology, Peking University First Hospital, Peking University, Beijing, China
| | - T Gu
- The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - S Liu
- Jilin Provincial Cancer Hospital, Changchun, China
| | - Y Yang
- Jilin Provincial Cancer Hospital, Changchun, China
| | - J Yang
- Department of Oncology, The first Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - H Yu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - R Yu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - J Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China., Beijing, China
| | - A Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China
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Zhu Y, Li S, Wang H, Ren W, Chi K, Wu J, Mao L, Huang X, Zhuo M, Lin D. Molecular subtypes, predictive markers and prognosis in small-cell lung carcinoma. J Clin Pathol 2023:jcp-2023-209109. [PMID: 37775262 DOI: 10.1136/jcp-2023-209109] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 09/14/2023] [Indexed: 10/01/2023]
Abstract
AIMS A new molecular subtype classification was proposed for small-cell lung carcinoma (SCLC). We aimed to further validate the classification in various SCLC patient samples using immunohistochemistry (IHC) to highlight its clinical significance. METHODS We analysed the protein expression of four subtype (achaete-scute family BHLH transcription factor 1 (ASCL1), neuronal differentiation 1 (NEUROD1), POU class 2 homeobox 3 (POU2F3) and Yes1-associated transcriptional regulator (YAP1)) and two predictive markers (delta-like ligand 3 (DLL3) and MYC) using IHC in 216 specimens from 195 SCLC patients, including 21 pairs of resected biopsy tumours. Associations among molecular subtypes, clinicopathological features and prognostic implications were also explored. RESULTS The ASCL1, NEUROD1, POU2F3, YAP1, DLL3 and MYC-positive expression rates were 70.3%, 56.9%, 14.9%, 19.0%, 75.4% and 22.6%, respectively. DLL3 expression had positive and negative associations with that of ASCL1 and POU2F3/YAP1, respectively, whereas MYC had the opposite effect. Strong associations of ASCL1 (Ρ=0.8603, p<0.0001), NEUROD1 (Ρ=0.8326, p<0.0001), POU2F3 (Ρ=0.6950, p<0.0001) and YAP1 (Ρ=0.7466, p<0.0001) expressions were detected between paired resected biopsy tumours. In addition to SCLC-A (ASCL1-dominant), SCLC-N (NEUROD1-dominant) and SCLC-P (POU2F3-dominant), unsupervised hierarchical cluster analyses identified a fourth, quadruple-negative SCLC subtype (SCLC-QN) characterised by the low expression of all four subtype-specific proteins, and 55.4% (n=108), 27.2% (n=53), 11.8% (n=23) and 5.6% (n=11) were categorised as SCLC-A, SCLC-N, SCLC-P and SCLC-QN, respectively. Significant enrichment of SCLC-P in the combined SCLC cohort was observed, and adenocarcinoma was more prevalent in SCLC-A, while large-cell neuroendocrine carcinoma was more commonly seen in SCLC-P. No survival difference was found among molecular subtypes. CONCLUSIONS Our results provide clinical insights into the diagnostic, prognostic and predictive significance of SCLC molecular subtype classifications.
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Affiliation(s)
- Yanli Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Sheng Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department I of Thoracic Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Haiyue Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Wenhao Ren
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Kaiwen Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jianghua Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Luning Mao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xiaozheng Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department I of Thoracic Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Dongmei Lin
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
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Sun Y, Liu Y, Li J, Tan Y, An T, Zhuo M, Pan Z, Ma M, Jia B, Zhang H, Wang Z, Yang R, Bi Y. Characterization of Lung and Oral Microbiomes in Lung Cancer Patients Using Culturomics and 16S rRNA Gene Sequencing. Microbiol Spectr 2023; 11:e0031423. [PMID: 37092999 PMCID: PMC10269771 DOI: 10.1128/spectrum.00314-23] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/03/2023] [Indexed: 04/25/2023] Open
Abstract
Recently, microbiota dysbiosis in lung cancer has attracted immense attention. Studies on lung microbes are mostly based on sequencing, which has left the potentially functional bacteria with extremely low abundance uncovered. In this study, we characterized and compared the lung and oral cavity microbiotas using culturomics and 16S rRNA gene sequencing. Of the 198 bacteria identified at the species level from bronchoalveolar lavage fluid (BALF) samples, Firmicutes was predominant (39.90%). Twenty bacterial species isolated from BALF samples were present in at least half of the patients and were also highly abundant in oral samples. Of all isolated strains, Streptococcus and Veillonella were highly dominant. The abundance of Prevotella and Veillonella decreased from the oral cavity to the lung, whereas that of Pseudomonas increased. Linear discriminant analysis effect size demonstrated that Prevotella was more abundant in the healthy samples than in the cancerous ones, which is in accordance with the isolation of Prevotella oralis only from the healthy group using culturomics. Moreover, Gemella sanguinis and Streptococcus intermedius were isolated only from the non-small-cell lung cancer (NSCLC) group, and 16S rRNA gene sequencing showed that they were higher in the NSCLC than in the small-cell lung cancer group. Furthermore, while Bacillus and Castellaniella were enriched in lung adenocarcinoma, Brucella was enriched in lung squamous cell carcinoma. Overall, alterations were observed in the microbial community of patients with lung cancer, whose diversity might be site and pathology dependent. Using culturomics and 16S rRNA gene amplicon sequencing, this study has provided insights into pulmonary and oral microbiota alterations in patients with lung cancer. IMPORTANCE The relationship between lung microbiota and cancer has been explored based on DNA sequencing; however, culture-dependent approaches are indispensable for further studies on the lung microbiota. In this study, we applied a comprehensive approach combining culturomics and 16S rRNA gene amplicon sequencing to detect members of the microbiotas in saliva and BALF samples from patients with unilateral lobar masses. We found alterations in the microbial community of patients with lung cancer, whose diversity might be site and pathology dependent. These features may be potential bacterial biomarkers and new targets for lung cancer diagnosis and treatment. In addition, a lung and oral microbial biobank from lung cancer patients was established, which represents a useful resource for studies of host-microbe interactions.
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Affiliation(s)
- Yifan Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yuejiao Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jianjie Li
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Yafang Tan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Tongtong An
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Minglei Zhuo
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Zhiyuan Pan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Menglei Ma
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Bo Jia
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Hongwei Zhang
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Ziping Wang
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yujing Bi
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
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8
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Jia B, Zhao J, Jin B, Zhang F, Wang S, Zhang L, Wang Z, An T, Wang Y, Zhuo M, Li J, Yang X, Li S, Chen H, Chi Y, Wang J, Zhai X, Tai Y, Liu Y, Guan G. 36P Prevalence, clinical characteristics, and treatment outcomes of patients with BRAF-mutated advanced NSCLC in China: A real-world multi-center study. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00290-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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9
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Li J, Li J, Hao H, Lu F, Wang J, Ma M, Jia B, Zhuo M, Wang J, Chi Y, Zhai X, Wang Y, Wu M, An T, Zhao J, Yang F, Wang Z. Secreted proteins MDK, WFDC2, and CXCL14 as candidate biomarkers for early diagnosis of lung adenocarcinoma. BMC Cancer 2023; 23:110. [PMID: 36721112 PMCID: PMC9887767 DOI: 10.1186/s12885-023-10523-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 01/09/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Early diagnosis of lung adenocarcinoma (LUAD), one of the most common types of lung cancer, is very important to improve the prognosis of patients. The current methods can't meet the requirements of early diagnosis. There is a pressing need to identify novel diagnostic biomarkers. Secretory proteins are the richest source for biomarker research. This study aimed to identify candidate secretory protein biomarkers for early diagnosis of LUAD by integrated bioinformatics analysis and clinical validation. METHODS Differentially expressed genes (DEGs) of GSE31210, gene expression data of early stage of LUAD, were analyzed by GEO2R. Upregulated DEGs predicted to encode secreted proteins were obtained by taking the intersection of the DEGs list with the list of genes encoding secreted proteins predicted by the majority decision-based method (MDSEC). The expressions of the identified secreted proteins in the lung tissues of early-stage LUAD patients were further compared with the healthy control group in mRNA and protein levels by using the UALCAN database (TCGA and CPTAC). The selected proteins expressed in plasma were further validated by using Luminex technology. The diagnostic value of the screened proteins was evaluated by receiver operating characteristic (ROC) analysis. Cell counting kit-8 assay was carried out to investigate the proliferative effects of these screened proteins. RESULTS A total of 2183 DEGs, including 1240 downregulated genes and 943 upregulated genes, were identified in the GSE31210. Of the upregulated genes, 199 genes were predicted to encode secreted proteins. After analysis using the UALCAN database, 16 molecules were selected for further clinical validation. Plasma concentrations of three proteins, Midkine (MDK), WAP four-disulfide core domain 2 (WFDC2), and C-X-C motif chemokine ligand 14 (CXCL14), were significantly higher in LUAD patients than in healthy donors. The area under the curve values was 0.944, 0.881, and 0.809 for MDK, WFDC2, and CXCL14, 0.962 when combined them. Overexpression of the three proteins enhanced the proliferation activity of A549 cells. CONCLUSIONS MDK, WFDC2, and CXCL14 were identified as candidate diagnostic biomarkers for early-stage LUAD and might also play vital roles in tumorigenesis.
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Affiliation(s)
- Junfeng Li
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Jianjie Li
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Huifeng Hao
- grid.412474.00000 0001 0027 0586Department of Integration of Chinese and Western Medicine, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Fangliang Lu
- grid.412474.00000 0001 0027 0586Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Jia Wang
- grid.412474.00000 0001 0027 0586Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Menglei Ma
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Bo Jia
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Minglei Zhuo
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Jingjing Wang
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Yujia Chi
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Xiaoyu Zhai
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Yuyan Wang
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Meina Wu
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Tongtong An
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Jun Zhao
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
| | - Fan Yang
- grid.411634.50000 0004 0632 4559Department of Thoracic Surgery, Peking University People’s Hospital, Beijing, 100044 China
| | - Ziping Wang
- grid.412474.00000 0001 0027 0586Departments of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing, 100142 China
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Zhong J, Li X, Wang Z, Duan J, Li W, Zhuo M, An T, Wang Z, Gu T, Wang Y, Bai H, Wang Y, Wu M, Zhao Z, Yang X, Su Z, Zhu X, Wan R, Li J, Zhao J, Chang G, Yang X, Chen H, Xue L, Shi X, Zhao J, Wang J. Erratum to ‘Evolution and genotypic characteristics of small cell lung cancer transformation in non-small cell lung carcinomas’ [Journal of the National Cancer Center, 1 (2021), 4: 153-162]. Journal of the National Cancer Center 2022. [DOI: 10.1016/j.jncc.2022.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
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11
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Chen H, Ma X, Liu J, Yang Y, Fang Y, Wang L, Fang J, Zhao J, Zhuo M. Clinical outcomes of atezolizumab in combination with etoposide/platinum for treatment of extensive-stage small-cell lung cancer: A real-world, multicenter, retrospective, controlled study in China. Chin J Cancer Res 2022; 34:353-364. [PMID: 36199537 PMCID: PMC9468015 DOI: 10.21147/j.issn.1000-9604.2022.04.04] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 07/13/2022] [Indexed: 09/29/2023] Open
Abstract
OBJECTIVE Atezolizumab along with chemotherapy has prolonged the survival of patients with extensive-stage small-cell lung cancer (ES-SCLC) worldwide, although real-world (RW) data are lacking in China. This study was designed to evaluate the efficacy and clinical outcomes of atezolizumab plus etoposide/platinum (EP). METHODS Data obtained in this retrospective study were captured from six oncology units of five medical facilities from January 2019 to April 2022. For first-line treatments, atezolizumab combined with EP vs. EP alone, we primarily evaluated progression-free survival (PFS); other efficacy indicators, including overall survival (OS), objective response rate (ORR), and patterns of SCLC progression and adverse events (AEs) were assessed. RESULTS The primary analysis included data from 225 patients, of whom 133 received EP along with atezolizumab (atezolizumab group) and 92 received EP alone (EP group). The PFS duration of the atezolizumab group [7.10 months; 95% confidence interval (95% CI), 6.53-9.00] exceeded that of the EP group (6.50 months; 95% CI, 4.83-7.53). Overall, the hazard ratio (HR) was 0.69 (95% CI, 0.49-0.97) (P=0.029); particularly, the HR was 0.54 (95% CI, 0.36-0.80) among patients undergoing ≥4 chemotherapy cycles and 0.33 (95% CI, 0.20-0.56) among individuals with atezolizumab maintenance. The ORR and disease-control rate (DCR) were similar between the two groups. Because of incomplete OS data, the median OS was not determined for either group. Bone marrow suppression was the most common AE detected (58.6%) in the atezolizumab group. Immune-related AEs occurred in 19 patients in the atezolizumab group (14.3%), with only one case of grade 3 encephalitis. CONCLUSIONS This RW study in China demonstrated improved clinical outcomes of atezolizumab along with EP for ES-SCLC, particularly in the chemosensitive population. These results align with the results of the IMpower133 study, although the impact of this treatment modality on OS warrants additional follow-up studies.
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Affiliation(s)
- Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Xiangjuan Ma
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department II of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Jie Liu
- Department of Pneumology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Yu Yang
- Department of Oncology, the 2nd Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Yong Fang
- Department of Oncology, Sir Run Run Shaw Hospital Zhejiang University School of Medicine, Hangzhou 310020, China
| | - Liping Wang
- Department of Oncology, Baotou Cancer Hospital, Baotou 014030, China
| | - Jian Fang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department II of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
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Chen H, Huang D, Lin G, Yang X, Zhuo M, Chi Y, Zhai X, Jia B, Wang J, Wang Y, Li J, An T, Wu M, Wang Z, Zhao J. The prevalence and real-world therapeutic analysis of Chinese patients with KRAS-Mutant Non-Small Cell lung cancer. Cancer Med 2022; 11:3581-3592. [PMID: 35394121 PMCID: PMC9554448 DOI: 10.1002/cam4.4739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 03/14/2022] [Accepted: 03/29/2022] [Indexed: 11/15/2022] Open
Abstract
Objective Kirsten rat sarcoma viral oncogene homolog (KRAS) is an important driver gene of non‐small cell lung cancer (NSCLC). Despite a rapid progress achieved in the targeted therapy, chemotherapy remains the standard treatment option for patients with KRAS‐mutant NSCLC. This study aimed to assess real‐world data of Chinese patients with KRAS‐mutant NSCLC undergoing chemotherapy and/or immunotherapy. Methods KRAS mutational status was analyzed using next‐generation sequencing of 150,327 NSCLC patients from the Lung Cancer Big Data Precise Treatment Collaboration Group (LANDSCAPE) project (Cohort I). Treatment data were collected and analyzed retrospectively from 4348 NSCLC patients who were admitted to the Peking University Cancer Hospital and Institute between January 2009 and October 2020 (Cohort II). Results In Cohort I, 18,224 patients were detected with KRAS mutations (12.1%) of whom G12C (29.6%) was the most frequent subtype, followed by G12D (18.1%) and G12V (17.5%). In case of concomitant mutations, TP53 had the highest incidence of 33.6%, followed by EGFR (11.6%), STK11 (10.4%), KEAP1(6.2%), and CDKN2A (6.0%). Cohort II included 497 patients (11.4%) with KRAS mutations. In the first‐line chemotherapeutic analysis of Cohort II, patients benefited more from the pemetrexed/platinum (PP) regimen than the gemcitabine/platinum (GP) or taxanes/platinum (TP) regimen (median progression‐free survival [PFS], 6.4 vs. 4.9 vs. 5.6 months, hazard ratio [HR] = 0.65, 95% confidence interval [CI] 0.48–0.88, p = 0.033 and HR = 0.69, 95% CI 0.47–1.00, p = 0.05, respectively), with no significant difference when combined with bevacizumab. Regarding patients who received immune checkpoint inhibitors (ICIs), the objective response rate was 26% for a median PFS of 9.6 months (95% CI 6.16–13.03). Patients who received ICIs combined with chemotherapy had a significantly longer survival than monotherapy (median PFS, 13.9 vs. 5.2 months, HR = 0.59, 95% CI 0.35–0.99, p = 0.049). Conclusion KRAS is an important driver gene in NSCLC, compromising 12.1% in this study, and G12C was noted as the most common subtype. Patients with KRAS‐mutant NSCLC could benefit from pemetrexed‐based chemotherapy and ICIs.
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Affiliation(s)
- Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Dingzhi Huang
- Department of Thoracic Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin Lung Cancer Center, Tianjin Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Gen Lin
- Departments of Thoracic Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xiaoyu Zhai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jingjing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Departments of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
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Zhuo M, Chen H, Ma X, Liu J, Yang Y, Fang Y, Wang L, Zhao J. 145P Clinical outcomes of atezolizumab in combination with etoposide/platinum for extensive-stage small cell lung cancer in China: A real-world, multi-center, retrospective, controlled study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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14
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Zhong J, Li X, Wang Z, Duan J, Li W, Zhuo M, An T, Wang Z, Gu T, Wang Y, Bai H, Wang Y, Wu M, Zhao Z, Yang X, Su Z, Zhu X, Wan R, Li J, Zhao J, Chang G, Yang X, Chen H, Xue L, Shi X, Zhao J, Wang J. Evolution and genotypic characteristics of small cell lung cancer transformation in non-small cell lung carcinomas. Journal of the National Cancer Center 2021. [DOI: 10.1016/j.jncc.2021.11.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
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15
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Yang X, Zhong J, Yu Z, Zhuo M, Zhang M, Chen R, Xia X, Zhao J. Genetic and treatment profiles of patients with concurrent Epidermal Growth Factor Receptor (EGFR) and Anaplastic Lymphoma Kinase (ALK) mutations. BMC Cancer 2021; 21:1107. [PMID: 34654390 PMCID: PMC8520304 DOI: 10.1186/s12885-021-08824-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 10/01/2021] [Indexed: 11/21/2022] Open
Abstract
Background EGFR and ALK alternations often contribute to human malignancies, including lung cancer. EGFR and ALK mutations are usually sensitive to EGFR-tyrosine kinase inhibitors (TKIs) and ALK-TKIs. Although generally mutually exclusive, these mutations do co-exist in rare cases. This study investigated the frequencies, clinical characteristics, therapeutic efficacies, and genetic profiles of lung cancer patients with EGFR and ALK co-mutations. Methods Patients with concurrent EGFR and ALK mutations were included in this study, which analyzed mutation profiles and treatment histories. SPSS20.0 were used for survival analysis. Results Among 271 ALK-positive (ALK-pos) and 2975 EGFR-positive (EGFR-pos) patients in our database, nine (2.6% of ALK-pos and 0.2% of EGFR-pos) patients had concurrent EGFR and ALK mutations (including three exon19 Indel + EML4-ALK, two exon19 Indel + STRN-ALK, two L858R + L1152R, one L858R + EML4-ALK, and one G719C + S768I + STRN-ALK). Eight patients had at least one type of EGFR-TKIs treatment. The median progression free survival (PFS) of these patients on first-generation EGFR-TKIs was 14.5 months (95% CI: 11 - NR). Of these eight patients, one who progressed on Gefitinib and subsequently on Osimertinib had a T790M + C797G. The other seven EGFR-TKIs resistance patients had no known resistance mutations. No patients had ALK mutations before treatment, so ALK mutations may have developed as resistance mechanisms during EGFR-TKIs therapies. EGFR-TKIs-treated patients with EGFR/ALK L1152R mutations generally had a shorter PFS than patients with other mutation combinations. Conclusions ALK and EGFR mutations coincide at a relatively low frequency in lung cancer patients. ALK mutations developed either synchronously or heterochronously with EGFR mutations. Two ALK mutations (L1152R and STRN-ALK) may co-exist with EGFR mutations at a higher frequency than others. Most EGFR/ALK co-alteration patients (other than the EGFR/ALK L1152R type) can benefit from first line EGFR-TKIs. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-08824-2.
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Affiliation(s)
- Xiaodan Yang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, No.52, Fucheng Road, Haidian district, Beijing, China
| | - Jia Zhong
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhuo Yu
- Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Minglei Zhuo
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, No.52, Fucheng Road, Haidian district, Beijing, China
| | - Min Zhang
- GenePlus-Beijing, Beijing, 102206, China
| | | | | | - Jun Zhao
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, No.52, Fucheng Road, Haidian district, Beijing, China.
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Zhao J, Li J, Chen H, Yang X, Zhong J, Zhuo M, Jia B, An T, Wu M, Wang Z, Ding L, Mao L. A phase II study of vorolanib in combination with toripalimab in patients with non-small cell lung cancer. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.e21053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21053 Background: VEGF promotes an immunosuppressive microenvironment and contributes to resistance of immune checkpoint inhibitors in cancer treatment. VEGF inhibitors have been shown to enhance efficacy of checkpoint inhibitors in clinical studies. Vorolanib (CM082) is a multi-target tyrosine kinase inhibitor including VEGF, PDGF, c-kit, and Flt-3. Toripalimab (JS001) is a humanized IgG4 mAb against programmed death-1 (PD-1). This phase II study aims to evaluate efficacy and safety of the combination of vorolanib and JS001 in non-small cell lung cancer (NSCLC) patients who progressed with prior first-line standard therapy. Methods: This single-arm, single-center, phase II study (NCT03848611) enrolls NSCLC patients with measurable disease (RECIST 1.1) and Eastern Cooperative Oncology Group performance status ≤ 1, regardless of PD-L1 status. 15 patients received 150 mg oral CM082 daily plus 240 mg intravenous JS001 every 3 weeks while 3 patients received 100 mg oral CM082 daily plus 240 mg intravenous JS001 every 3 weeks until disease progression or intolerable toxicity. The primary endpoint is objective response rate (ORR). Results: Between April 2019 and July 2020, 18 patients were enrolled. Median age was 64 years. 9 of 18 patients (50%) were adenocarcinoma and 9 of 18 patients (50%) were squamous. Males account for 83% (15/18) with 4 non-smokers among the male patients. At the data cutoff (January 11, 2021), we observed 2 (11%) confirmed and 1 (6%) unconfirmed partial response (PR), 6 (33%) stable disease (SD) and 9 (50%, including 2 PR of the target lesions) progression disease (PD). Tumor shrinkage was seen in 6 (33%) of the 18 patients. Two (11%) patients were still on the study drugs. Interestingly, all the patients with confirmed PR or PR of the target lesions were squamous histology. The most common treatment-related adverse events were proteinuria (67%), elevated ALT (60%), elevated AST (53%), hypertension (40%), and increased bilirubin (40%). Grade 3 adverse events include elevated ALT (20%), elevated AST (20%), liver function damage (13%), elevated GGT (7%), fatigue (7%), bellyache (7%), ruptured and infected tumor (7%), and dysphagia (7%). One Grade 4 adverse event was pulmonary embolism. Conclusions: Vorolanib with toripalimab showed a promising antitumor activity with acceptable safety profiles for patients with NSCLC. We hypothesized that the potential benefits of combination therapy for patients with squamous cell carcinoma may be better than those for patients with adenocarcinoma, and the study is ongoing. Clinical trial information: NCT03848611.
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Affiliation(s)
- Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hanxiao Chen
- Peking University Cancer Hospital, Beijing, China
| | - Xue Yang
- Beijing Cancer Institute, Beijing, China
| | - Jia Zhong
- Peking University Cancer Hospital, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Bo Jia
- Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | | | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Cancer Hospital, Beijing, China
| | - Ziping Wang
- Department of Thoracic Medical Oncology, Beijing Cancer Hospital, Beijing, China
| | - Lieming Ding
- Betta Pharmaceuticals Co., Ltd., Hangzhou, China
| | - Li Mao
- Betta Pharmaceuticals, Hangzhou, China
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Zhuo M, Liu X, Chen R, Xu X, Ni B. Relationship between loss-of-function mutation of the stromal antigen 2 gene and treatment in non-small cell lung cancer. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.e20509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e20509 Background: The protein encoded by Stromal Antigen 2 ( STAG2) gene is a subunit of the cohesin complex, which regulates the separation of sister chromatids during cell division. Loss-of-function (LOF) mutations of STAG2 gene are commonly detected in different tumors including non-small-cell lung cancer. However, there is no relevant research on the impact of STAG2 alterations on lung cancer treatment. Here we explored the correlation between the LOF of STAG2 and clinical features, concomitant genetic alterations and treatment in NSCLC pts. Methods: A total of 2882 NSCLC pts were enrolled. All the tissue samples were detected by DNA based next generation sequencing (NGS) with a 1021 gene panel. Clinical information was obtained synchronously from physicians and surgeons. According to whether LOF of STAG2 is detected, pts were divided into LOF subgroup and wild type (WT) group. Results: All pts enrolled are Chinese, and median age at diagnosis of them is 63±11.21. Compared to the WT subgroup, a higher average TMB was observed in the LOF group (12.64muts/Mb vs. 6.66mut/Mb, P<0.05). Between the LOF group and the WT group, there were no significantly difference in all clinical baseline characteristics including age at diagnosis, gender, tumor stage and pathological type. At the time of sample collection, there was no significant difference between the two groups of pts whether they had received systemic treatment (chemotherapy, targeted therapy or immunotherapy) and systemic treatment, and the number of systemic treatment lines received. Neither significant differences in driver gene alteration and other accompanying mutations were observed in the two groups. Conclusions: In NSCLC pts, LOF of STAG2 is not a change after drug resistance, but it may lead to an increase in TMB, which indicates that these pts may have more benefits from immunotherapy. But the influence on prognosis of NSCLC pts needs further research to clarify.
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Affiliation(s)
- Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xin Liu
- Geneplus-Beijing, Beijing, China
| | | | - Xiong Xu
- The First People's Hospital of Changzhou, Changzhou, China
| | - Bin Ni
- The First Affiliated Hospital of Soochow University, Suzhou, China
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Yang X, Xia Y, Xu L, Liang L, Zhuo M, Wu M, An T, Wang Z, Wang Y, Li J, Zhong J, Chen H, Jia B, Wang J, Zhao J. Efficacy and Safety of Combination Treatment With Apatinib and Osimertinib After Osimertinib Resistance in Epidermal Growth Factor Receptor-Mutant Non-small Cell Lung Carcinoma-A Retrospective Analysis of a Multicenter Clinical Study. Front Mol Biosci 2021; 8:639892. [PMID: 34026823 PMCID: PMC8131525 DOI: 10.3389/fmolb.2021.639892] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 04/12/2021] [Indexed: 12/18/2022] Open
Abstract
Currently, there are limited treatment options for patients who developed resistance to osimertinib, a third-generation epidermal growth factor receptor (EGFR) inhibitor. Resistance to EGFR inhibitors is frequently associated with enhanced vascular endothelial growth factor (VEGF) levels. This multicenter, retrospective study aimed to evaluate the efficacy of the combination treatment with apatinib and osimertinib in 39 patients with EGFR-mutant non-small cell lung carcinoma (NSCLC) who developed osimertinib resistance. The patients received the combination of oral apatinib 250 mg qd and osimertinib 80 mg qd. The efficacy was evaluated after the first month then every 2 months thereafter. The primary endpoint was progression-free survival (PFS). The overall response rate (ORR) and the disease control rate (DCR) of the combination of apatinib and osimertinib was 12.8% (5/39) and 79.5% (31/39), respectively. The median PFS was 4 months [95% confidence interval (CI): 3.5-4.5 months]. Fourteen patients were administered with at least 6 months of combination therapy, and 11 of them remained on treatment programs. The 6-month PFS rate was 38%. Nine patients underwent biopsies after failing osimertinib treatment, and five of six patients with TP53 mutations had PFS of less than 3 months. The spectrum of resistance to osimertinib mechanisms included c-mesenchymal-epithelial transition factor (c-Met) amplification, phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) gain-of-function mutation, phosphatase and tensin homolog (PTEN) loss-of-function mutation, Erb-B2 receptor tyrosine kinase 2 (ERBB2) amplification, and insulin-like growth factor 1 receptor (IGF1R) mutation. The most common adverse events were hypertension (30.7%, 12/39), diarrhea (15.4%, 6/39), and proteinuria (12.8%, 5/39). The combination of apatinib and osimertinib improved the ORR and the DCR of patients with osimertinib-refractory EGFR-positive NSCLC, thus making it a reasonable treatment choice after the development of osimertinib resistance.
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Affiliation(s)
- Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yang Xia
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Liyan Xu
- Department of Medical Oncology, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Li Liang
- Department of Tumor Chemotherapy and Radiation Sickness, Peking University Third Hospital, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jingjing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
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Li J, Chi Y, Cao G, Zhao J, An T, Wu M, Wang Y, Zhuo M, Yang X, Jia B, Chen H, Wang J, Zhai X, Wang Z. Efficacy and safety of pemetrexed maintenance chemotherapy for advanced non-small cell lung cancer in a real-world setting. J Thorac Dis 2021; 13:1813-1821. [PMID: 33841970 PMCID: PMC8024837 DOI: 10.21037/jtd-21-337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background Pemetrexed maintenance therapy offers a survival benefit in patients with nonprogressive advanced nonsquamous non-small cell lung cancer (NSCLC) with good tolerability. This study was designed to analyze the efficacy and safety of pemetrexed maintenance chemotherapy in advanced nonsquamous NSCLC patients in a real-world setting. Methods The response rate (RR) and adverse events in 71 nonsquamous NSCLC patients treated with pemetrexed-based chemotherapy were observed until disease progression or unacceptable toxicities. Measures of survival were analyzed during follow-up. Results Of 69 efficacy-evaluable patients, the objective response rate (ORR) was 46.4% and the disease control rate (DCR) was 98.6%. ORR showed no significant difference between patients who received pemetrexed as first-line therapy and those who received pemetrexed as second-line or higher treatment. The median treatment cycle for all patients was 8. The median progression-free survival (PFS) was 9.5 months (m) and median overall survival (OS) was 30.5 m. The univariate and multivariate analyses showed that the number of chemotherapy cycles was an independent factor for PFS. The most common adverse reactions were grade 1 to 2 hematologic toxicities, gastrointestinal reactions, and liver enzyme abnormalities. Only 1 patient experienced a grade 3 gastrointestinal event. Conclusions Pemetrexed maintenance chemotherapy can improve PFS in patients with advanced nonsquamous NSCLC with good tolerability.
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Affiliation(s)
- Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Guang Cao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jingjing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaoyu Zhai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
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20
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Jia B, Zheng Q, Li J, Zhao J, Wu M, An T, Wang Y, Zhuo M, Yang X, Chen H, Chi Y, Wang J, Zhai X, He Y, Kong L, Wang Z. Evaluation of different treatment strategies between right-sided and left-sided pneumonectomy for stage I-IIIA non-small cell lung cancer patients. J Thorac Dis 2021; 13:1799-1812. [PMID: 33841969 PMCID: PMC8024865 DOI: 10.21037/jtd-21-264] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background This study aimed to assess the different survival outcomes of stage I–IIIA non-small cell lung cancer (NSCLC) patients who received right-sided and left-sided pneumonectomy, and to further develop the most appropriate treatment strategies. Methods We accessed data from the Surveillance, Epidemiology, and End Results database from the United States for the present study. An innovative propensity score matching analysis was used to minimize the variance between groups. Results For 2,683 patients who received pneumonectomy, cancer-specific survival [hazard ratio (HR) =0.863, 95% confidence interval (CI): 0.771 to 0.965, P=0.010] and overall survival (OS; HR =0.875, 95% CI: 0.793 to 0.967, P=0.008) were significantly superior in left-sided pneumonectomy patients compared with right-sided pneumonectomy patients. Cancer-specific survival (HR =0.847, 95% CI: 0.745 to 0.963, P=0.011) and OS (HR =0.858, 95% CI: 0.768 to 0.959, P=0.007) were also significantly longer with left-sided compared to right-sided pneumonectomy after matching analysis of 2,050 patients. Adjuvant therapy could significantly prolong cancer-specific survival (67 versus 51 months, HR =1.314, 95% CI: 1.093 to 1.579, P=0.004) and OS (46 versus 30 months, HR =1.458, 95% CI: 1.239 to 1.715, P<0.001) among left-sided pneumonectomy patients after the matching procedure, while adjuvant therapy did not increase cancer-specific survival for right-sided pneumonectomy patients (46 versus 42 months, HR =1.112, 95% CI: 0.933 to 1.325, P=0.236). Subgroup analysis showed that adjuvant chemotherapy could significantly improve cancer-specific survival and OS for all pneumonectomy patients. However, radiotherapy was associated with worse survival for patients with right-sided pneumonectomy. Conclusions Pneumonectomy side can be deemed as an important factor when physicians determine the most optimal treatment strategies.
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Affiliation(s)
- Bo Jia
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jianjie Li
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhao
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Meina Wu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuyan Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Minglei Zhuo
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xue Yang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hanxiao Chen
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yujia Chi
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jingjing Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaoyu Zhai
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuling He
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Lingdong Kong
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ziping Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
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Jia B, Zhao X, Wu D, Dong Z, Chi Y, Zhao J, Wu M, An T, Wang Y, Zhuo M, Li J, Chen X, Tian G, Long J, Yang X, Chen H, Wang J, Zhai X, Li S, Li J, Ma M, He Y, Kong L, Brcic L, Fang J, Wang Z. Identification of serum biomarkers to predict pemetrexed/platinum chemotherapy efficacy for advanced lung adenocarcinoma patients by data-independent acquisition (DIA) mass spectrometry analysis with parallel reaction monitoring (PRM) verification. Transl Lung Cancer Res 2021; 10:981-994. [PMID: 33718037 PMCID: PMC7947410 DOI: 10.21037/tlcr-21-153] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Pemetrexed/platinum chemotherapy has been the standard chemotherapy regimen for lung adenocarcinoma patients, but the efficacy varies considerably. Methods To discover new serum biomarkers to predict the efficacy of pemetrexed/platinum chemotherapy, we analyzed 20 serum samples from advanced lung adenocarcinoma patients who received pemetrexed/platinum chemotherapy with the data-independent acquisition (DIA) quantitative mass spectrometry (MS). Results The 20 patients were categorized as “good response” [12 patients achieving partial response (PR)] and “poor response” [8 patients with progressive disease (PD)] groups. Altogether 23 significantly different expressed proteins were identified, which had relative ratios higher than 1.2 or lower than –0.83, with 7 proteins having an area under the curve (AUC) above 0.8. To further validate the DIA results, we used the parallel reaction monitoring (PRM) method to examine 16 candidate serum biomarkers in the study cohort of 20 patients and another cohort of 22 advanced lung adenocarcinoma patients (16 PR and 6 PD). Quantitative validation using PRM correlated well with the DIA results, and 10 promising proteins exhibited a similar up- or downregulation. It is worth noting that glutathione peroxidase 3 (GPX3) exhibits significant upregulation in the poor response group compared with the good response group, which was validated by both DIA and PRM methods. Conclusions Our study confirmed that combined DIA MS and PRM approaches were effective in identifying serum predictive biomarkers for advanced lung adenocarcinoma patients. Further studies are needed to explore the potential biological mechanism underlying these biomarkers.
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Affiliation(s)
- Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xinghui Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Di Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhi Dong
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of GI Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaoling Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Guangming Tian
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jieran Long
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jingjing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaoyu Zhai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Sheng Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Junfeng Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Menglei Ma
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuling He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Lingdong Kong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Luka Brcic
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - Jian Fang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
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Li X, Yan S, Yang J, Wang Y, Lv C, Li S, Zhao J, Yang Y, Zhuo M, Wu N. Efficacy and Safety of PD-1/PD-L1 Inhibitors Plus Chemotherapy Versus PD-1/PD-L1 Inhibitors in Advanced Non-Small Cell Lung Cancer: A Network Analysis of Randomized Controlled Trials. Front Oncol 2021; 10:574752. [PMID: 33585195 PMCID: PMC7873939 DOI: 10.3389/fonc.2020.574752] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 11/23/2020] [Indexed: 12/24/2022] Open
Abstract
Immune checkpoint inhibitors (ICIs) are recommended as first-line treatment for late-stage non-small cell lung cancer (NSCLC), either as monotherapy or in combination with chemotherapy. However, efficacy and safety comparisons between ICIs as monotherapy and ICIs with chemotherapy are lacking. We searched PubMed, Embase, and Cochrane Library for randomized controlled trials published before February 29th, 2020, with the search terms “immunotherapy” and “chemotherapy”. 10 eligible trials were identified with a total of 5,956 patients. Of these patients, 3,204 received immune therapy and 2,752 received chemotherapy. PD-1 inhibitors with chemotherapy improved OS (HR 0.84, 0.77–0.92), PFS (HR 0.80, 0.75–0.85), and objective response rate (ORR) (odds ratio (OR) 2.55, 1.20–5.28) compared to PD-1 inhibitors as monotherapy. In contrast, PD-L1 inhibitors plus chemotherapy showed no significant differences in OS, PFS, or ORR compared with PD-L1 inhibitors as monotherapy. When patients were stratified according to PD-L1 expression level, patients with high PD-L1 expression (≥ 50%) receiving PD-1 inhibitors plus chemotherapy had improved PFS, but not other outcomes, compared to PD-1 inhibitors as monotherapy. In these patients, PD-L1 inhibitors plus chemotherapy showed no significant difference in survival compared with PD-L1 inhibitors. In the low PD-L1 expression group (1%–49%), PD-1 inhibitors plus chemotherapy improved OS and PFS, but no advantage was observed in PD-L1 inhibitors plus chemotherapy in OS, PFS, or ORR compared with PD-L1 inhibitor monotherapy. When comparing PD-1/PD-L1 inhibitors plus chemotherapy with PD-1/PD-L1 inhibitors monotherapy, no significant differences were observed in the rate of immune-related adverse events (AEs). In summary, for treating patients with late-stage NSCLC, PD-1 inhibitors plus chemotherapy have improved efficacy compared with PD-1 inhibitor monotherapy, but PD-L1 inhibitors plus chemotherapy have similar efficacy as PD-L1 monotherapy. Survival benefits of PD-1/PD-L1 inhibitors combined with chemotherapy were particularly significant in patients with low PD-L1 expression levels.
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Affiliation(s)
- Xiang Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Shi Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jichun Yang
- Central Laboratory, The Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yaqi Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Chao Lv
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Shaolei Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Nan Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
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Wang Y, Chen H, Zhang T, Yang X, Zhong J, Wang Y, Chi Y, Wu M, An T, Li J, Zhao X, Dong Z, Wang Z, Zhao J, Zhuo M, Huang J. Plasma cytokines interleukin-18 and C-X-C motif chemokine ligand 10 are indicative of the anti-programmed cell death protein-1 treatment response in lung cancer patients. Ann Transl Med 2021; 9:33. [PMID: 33553326 PMCID: PMC7859784 DOI: 10.21037/atm-20-1513] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background Although programmed cell death protein-1 (PD-1)/programmed death ligand-1 (PD-L1) checkpoint inhibitors have shown prominent efficacy for treatment of advanced lung cancer, the outcomes of metastatic lung cancer remain poor throughout the world. Although progression-free survival (PFS) and overall survival (OS) have improved in the first- and second-line therapy settings for advanced lung cancer, the response rates to PD-1/PD-L1 inhibition range from 20% to 40%. Furthermore, patients may be at risk for immune-related adverse events (irAEs); hence, appropriate patient selection is crucial. This study aimed to identify a panel of plasma cytokines representing prognostic and predictive biomarkers of the response to anti-PD-1/PD-L1 treatment. Methods We prospectively studied 32 lung cancer patients who received anti-PD-1/PD-L1 antibody immunotherapy. Plasma cytokines in peripheral blood samples were evaluated and analyzed using flow cytometry at the time of diagnosis and at 2 months after the initiation of PD-1/PD-L1 inhibition. Results The baseline plasma concentrations of interleukin-18 (IL-18) and C-X-C motif chemokine ligand 10 (CXCL10) were correlated with the degree of tumor response. Moreover, the magnitude of plasma IL-18 and CXCL10 level fluctuations were correlated significantly with the objective tumor response to anti-PD-1/PD-L1 immunotherapy, and patients with high CXCL10 expression had significantly shorter PFS than those with low CXCL10 expression. A strong positive correlation between the fluctuation of IL-18 and interleukin-8 (IL-8) levels was detected, as was a negative correlation between the fluctuation of IL-18 and CXCL10 levels. The level of plasma C-C motif chemokine ligand 5 (CCL5) was significantly higher in patients with irAEs than in those without irAEs. Conclusions Plasma cytokines are related to the clinical efficacy of PD-1/PD-L1 inhibitors. IL-18 and CXCL10 are potential predictive markers for anti-PD-1/PD-L1 therapy in lung cancer patients and may play an important role in selecting patients who would benefit from PD-1/PD-L1 inhibitors.
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Affiliation(s)
- Yida Wang
- Department of Immunology, School of Basic Medical Sciences, Peking University, and NHC Key Laboratory of Medical Immunology (Peking University), Beijing, China.,Key Laboratory of Molecular Immunology, Chinese Academy of Medical Sciences, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tianzhuo Zhang
- Department of Immunology, School of Basic Medical Sciences, Peking University, and NHC Key Laboratory of Medical Immunology (Peking University), Beijing, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xinghui Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhi Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jing Huang
- Department of Immunology, School of Basic Medical Sciences, Peking University, and NHC Key Laboratory of Medical Immunology (Peking University), Beijing, China.,Key Laboratory of Molecular Immunology, Chinese Academy of Medical Sciences, Beijing, China
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Jia B, Dong Z, Wu D, Zhao J, Wu M, An T, Wang Y, Zhuo M, Li J, Wang Y, Zhang J, Zhao X, Li S, Li J, Ma M, Chen C, Yang X, Zhong J, Chen H, Wang J, Chi Y, Zhai X, Cui S, Zhang R, Ma Q, Fang J, Wang Z. Prediction of the VeriStrat test in first-line therapy of pemetrexed-based regimens for advanced lung adenocarcinoma patients. Cancer Cell Int 2020; 20:590. [PMID: 33298069 PMCID: PMC7724790 DOI: 10.1186/s12935-020-01662-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 11/18/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Although advanced non-squamous non-small cell lung cancer (NSCLC) patients have significantly better survival outcomes after pemetrexed based treatment, a subset of patients still show intrinsic resistance and progress rapidly. Therefore we aimed to use a blood-based protein signature (VeriStrat, VS) to analyze whether VS could identify the subset of patients who had poor efficacy on pemetrexed therapy. METHODS This study retrospectively analysed 72 advanced lung adenocarcinoma patients who received first-line pemetrexed/platinum or combined with bevacizumab treatment. RESULTS Plasma samples from these patients were analysed using VS and classified into the Good (VS-G) or Poor (VS-P) group. The relationship between efficacy and VS status was further investigated. Of the 72 patients included in this study, 35 (48.6%) were treated with pemetrexed plus platinum and 37 (51.4%) were treated with pemetrexed/platinum combined with bevacizumab. Among all patients, 60 (83.3%) and 12 (16.7%) patients were classified as VS-G and VS-P, respectively. VS-G patients had significantly better median progression-free survival (PFS) (Unreached vs. 4.2 months; P < 0.001) than VS-P patients. In addition, the partial response (PR) rate was higher in the VS-G group than that in the VS-P group (46.7% vs. 25.0%, P = 0.212). Subgroup analysis showed that PFS was also significantly longer in the VS-G group than that in the VS-P group regardless of whether patients received chemotherapy alone or chemotherapy plus bevacizumab. CONCLUSIONS Our study indicated that VS might be considered as a novel and valid method to predict the efficacy of pemetrexed-based therapy and identify a subset of advanced lung adenocarcinoma patients who had intrinsic resistance to pemetrexed based regimens. However, larger sample studies are still needed to further confirm this result.
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Affiliation(s)
- Bo Jia
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Zhi Dong
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of GI Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Di Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, 100142, Beijing, China
| | - Jun Zhao
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Meina Wu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Tongtong An
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Yuyan Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Minglei Zhuo
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Jianjie Li
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Yang Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, 100142, Beijing, China
| | - Jie Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, 100142, Beijing, China
| | - Xinghui Zhao
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Sheng Li
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Junfeng Li
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Menglei Ma
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Chen Chen
- Center for Clinical Laboratory Medicine, Chinese PLA General Hospital, The First Medical Center), Beijing, China
| | - Xue Yang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Jia Zhong
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Hanxiao Chen
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Jingjing Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Yujia Chi
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Xiaoyu Zhai
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Song Cui
- Bioyong Technologies Inc, Beijing, China
| | - Rong Zhang
- Bioyong Technologies Inc, Beijing, China
| | - Qingwei Ma
- Bioyong Technologies Inc, Beijing, China
| | - Jian Fang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, 100142, Beijing, China.
| | - Ziping Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China.
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25
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Huan H, Liu C, Yang Z, Bao JL, Liu C, Wang JT, Zhang L, Wang CH, Ci RSP, Tu QL, Ren T, Xu D, Zhang HJ, Li XG, Kang N, Li XP, Wu YH, Pu X, Tan YJ, Cao JJ, Luo SWQ, Luo SQP, Zhuo M, Qi XL. [Current situation of screening, prevention and treatment of bleeding esophageal varices in cirrhotic portal hypertension in Tibet region: a multicenter study]. Zhonghua Gan Zang Bing Za Zhi 2020; 28:737-741. [PMID: 33053972 DOI: 10.3760/cma.j.cn501113-20200615-00318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Objective: To investigate and analyze the current situation, screening, clinical characteristics, prevention and treatment of bleeding esophageal varices in cirrhotic patients with portal hypertension in Tibet region. Methods: Clinical data of cirrhotic patients with portal hypertension through March 2017 to February 2020 from Tibet region were collected and analyzed retrospectively. Results: 511 cases with liver cirrhosis were included in the study, of which 185 cases (36.20%) had compensated cirrhosis and 326 cases (63.80%) had decompensated cirrhosis. Further analysis of the etiological data of liver cirrhosis showed that 306 cases (59.88%) were of chronic hepatitis B, 113 cases (22.11%) of alcoholic liver disease, and 68 cases (13.31%) of chronic hepatitis B combined with alcoholic liver disease. Among patients with compensated liver cirrhosis, 48 cases (25.95%) underwent endoscopic examination of which 33 diagnosed as high-risk variceal bleeding. However, none of these 33 cases had received non-selective β-blocker therapy, and only four patients had received endoscopic variceal banding therapy. Among patients with decompensated liver cirrhosis, 83 cases (25.46%) had a history of upper gastrointestinal bleeding, 297 cases (91.10%) had ascites, 23 cases (7.05%) had hepatic encephalopathy, and 3 cases (0.92%) had hepatorenal syndrome. Among the patients with a history of upper gastrointestinal bleeding, 42 cases (50.60%) had received secondary preventive treatment for bleeding esophageal varices, including 39 cases of endoscopic treatment, 1 case of endoscopic combined drug treatment, 3 cases of interventional treatment, and 2 cases of surgical treatment. Conclusion: Chronic hepatitis B and alcoholic liver diseases are the main causes of liver cirrhosis in Tibet region. Moreover, this region lacks screening, prevention and treatment for bleeding esophageal varices in cirrhotic patients with portal hypertension. Therefore, it is necessary to increase the screening of high-risk groups to prevent and improve the first-time bleeding, and promote multidisciplinary team to prevent and treat re-bleeding.
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Affiliation(s)
- H Huan
- Department of Gastroenterology, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu 610041, China
| | - C Liu
- Department of Gastroenterology, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu 610041, China
| | - Z Yang
- Department of Hepatology, The Third People's Hospital of Tibet Autonomous Region, Lasa 850000, China
| | - J L Bao
- Department of Gastroenterology,Shannan People's Hospital, Shannan 856000, China
| | - C Liu
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - J T Wang
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - L Zhang
- Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
| | - C H Wang
- Department of Gastroenterology, The Second People's Hospital of Tibet Autonomous Region, Lasa 850000, China
| | - R S P Ci
- Department of Internal Medicine, Naqu Tibetan Hospital, Naqu 852000, China
| | - Q L Tu
- Department of Gastroenterology, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu 610041, China
| | - T Ren
- Department of Gastroenterology, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu 610041, China
| | - D Xu
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - H J Zhang
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - X G Li
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - N Kang
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - X P Li
- Department of Gastroenterology, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu 610041, China
| | - Y H Wu
- Department of Gastroenterology, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu 610041, China
| | - X Pu
- Department of Gastroenterology, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu 610041, China
| | - Y J Tan
- Department of Gastroenterology, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu 610041, China
| | - J J Cao
- Medical Administration, Ali District Health and Safety Commission, Ali 859000, China
| | - S W Q Luo
- Department of Internal Medicine, Naqu Tibetan Hospital, Naqu 852000, China
| | - S Q P Luo
- Department of Pediatrics, Ali District People's Hospital, Ali 859000, China
| | - M Zhuo
- Department of Gastroenterology, Lasa People's Hospital, Lasa 850000, China
| | - X L Qi
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou 730000, China
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Li J, Zheng Q, Zhao X, Zhao J, An T, Wu M, Wang Y, Zhuo M, Zhong J, Yang X, Jia B, Chen H, Dong Z, Wang J, Chi Y, Zhai X, Wang Z. Nomogram model for predicting cause-specific mortality in patients with stage I small-cell lung cancer: a competing risk analysis. BMC Cancer 2020; 20:793. [PMID: 32838776 PMCID: PMC7445928 DOI: 10.1186/s12885-020-07271-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 08/07/2020] [Indexed: 11/12/2022] Open
Abstract
Background The five-year cumulative incidence rate in patients diagnosed with stage I small-cell lung cancer (SCLC) who were instructed to undergo surgery was from 40 to 60%.The death competition influence the accuracy of the classical survival analyses. The aim of the study is to investigate the mortality of stage I small-cell lung cancer (SCLC) patients in the presence of competing risks according to a proportional hazards model, and to establish a competing risk nomogram to predict probabilities of both cause-specific death and death resulting from other causes. Methods The study subjects were patients diagnosed with stage I SCLC according to ICD-O-3. First, the cumulative incidence functions (CIFs) of cause-specific death, as well as of death resulting from other causes, were calculated. Then, a proportional hazards model for the sub-distribution of competing risks and a monogram were constructed to evaluate the probability of mortality in stage I SCLC patients. Results 1811 patients were included in this study. The five-year probabilities of death due to specific causes and other causes were 61.5 and 13.6%, respectively. Tumor size, extent of tumor, surgery, and radiotherapy were identified as the predictors of death resulting from specific causes in stage I SCLC. The results showed that surgery could effectively reduce the cancer-specific death, and the one-year cumulative incidence dropped from 34.5 to 11.2%. Like surgery, chemotherapy and radiotherapy improved the one-year survival rate. Conclusions We constructed a predictive model for stage I SCLC using the data from the SEER database. The proportional sub-distribution models of competing risks revealed the predictors of death resulting from both specific causes and other causes. The competing risk nomogram that we built to predict the prognosis showed good reliability and could provide beneficial and individualized predictive information for stage I SCLC patients.
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Affiliation(s)
- Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xinghui Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Zhi Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Jingjing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Xiaoyu Zhai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China.
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Zhuo M, An T, Zhang C, Wang Z. Characterization of Microbiota in Cancerous Lung and the Contralateral Non-Cancerous Lung Within Lung Cancer Patients. Front Oncol 2020; 10:1584. [PMID: 32984019 PMCID: PMC7476634 DOI: 10.3389/fonc.2020.01584] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 07/22/2020] [Indexed: 02/06/2023] Open
Abstract
Background The functional role of lung microbiota has attracted an accumulating attention recently, but the profile and functional role of the lung microbiota in patients with lung cancer remained largely unknown. Methods To evaluate the association of the microbiota with lung cancer, we performed comparative analysis of the lung microbiota using 16S rRNA amplicon sequencing approach in the paired bronchoalveolar lavage fluid (BALF) samples (paired samples from cancerous lung and the contralateral non-cancerous lung) from 50 cancer patients with unilateral lobar masses. Results We found that the relative abundance of phylum Tenericutes, its class Mollicutes, its order Entomoplasmatales, its family Spiroplasmataceae, and its genus Spiroplasma was significantly increased in cancerous lung, but the relative abundance of phylum Bacteroidetes, its class Bacteroidia, and its order Bacteroidales was significantly decreased in cancerous lung. In addition, the relative abundance of family Leuconostocaceae and its genus Weissella was significantly increased in cancerous lung. Conclusion Our findings provide insights into a change of lung microbiota community associated with the development of lung cancer.
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Affiliation(s)
- Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Chaoting Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Biochemistry and Molecular Biology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
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Zhuo M, Chi Y, Wang Z. The adverse events associated with combination immunotherapy in cancers: Challenges and chances. Asia Pac J Clin Oncol 2020; 16:e154-e159. [PMID: 32786161 DOI: 10.1111/ajco.13365] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 04/20/2020] [Indexed: 12/26/2022]
Abstract
With the development of cancer immunotherapy, the combination strategy is becoming prevalent. Multiple relevant clinical trials are ongoing in this field. However, immune-related adverse events (irAEs) occurred more frequently, showing a different pattern from single-agent therapy. It is necessary for clinicians to learn about the characteristics of AEs from combination immunotherapy, and master the skills to deal with them. In this article, we reviewed presently published data about AEs from combination immunotherapy of cancers. We believe a full-scale view about this new treatment strategy will facilitate oncologists to better understand tumor immune response. With cutting edge knowledge, an experienced team can minimize these AEs and help patients to achieve high-quality long-term survival.
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Affiliation(s)
- Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
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Jia B, Zheng Q, Wang J, Sun H, Zhao J, Wu M, An T, Wang Y, Zhuo M, Li J, Yang X, Zhong J, Chen H, Chi Y, Zhai X, Wang Z. A nomogram model to predict death rate among non-small cell lung cancer (NSCLC) patients with surgery in surveillance, epidemiology, and end results (SEER) database. BMC Cancer 2020; 20:666. [PMID: 32680464 PMCID: PMC7367407 DOI: 10.1186/s12885-020-07147-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 07/07/2020] [Indexed: 12/26/2022] Open
Abstract
Background This study aimed to establish a novel nomogram prognostic model to predict death probability for non-small cell lung cancer (NSCLC) patients who received surgery.. Methods We collected data from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute in the United States. A nomogram prognostic model was constructed to predict mortality of NSCLC patients who received surgery. Results A total of 44,880 NSCLC patients who received surgery from 2004 to 2014 were included in this study. Gender, ethnicity, tumor anatomic sites, histologic subtype, tumor differentiation, clinical stage, tumor size, tumor extent, lymph node stage, examined lymph node, positive lymph node, type of surgery showed significant associations with lung cancer related death rate (P < 0.001). Patients who received chemotherapy and radiotherapy had significant higher lung cancer related death rate but were associated with significant lower non-cancer related mortality (P<0.001). A nomogram model was established based on multivariate models of training data set. In the validation cohort, the unadjusted C-index was 0.73 (95% CI, 0.72–0.74), 0.71 (95% CI, 0.66–0.75) and 0.69 (95% CI, 0.68–0.70) for lung cancer related death, other cancer related death and non-cancer related death. Conclusions A prognostic nomogram model was constructed to give information about the risk of death for NSCLC patients who received surgery.
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Affiliation(s)
- Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jingjing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Hongyan Sun
- Department of General Practice, The Third Affiliated Hospital, Sun Yat_Sen University, Guangzhou, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Xiaoyu Zhai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China.
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Wang L, Zhao J, An T, Wang Y, Zhuo M, Wu M, Wang Z, Li J, Yang X, Chen H, Zhong J. Clinical Characteristics and Outcomes of Patients With Primary Mediastinal Germ Cell Tumors: A Single-Center Experience. Front Oncol 2020; 10:1137. [PMID: 32766147 PMCID: PMC7378816 DOI: 10.3389/fonc.2020.01137] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 06/05/2020] [Indexed: 11/17/2022] Open
Abstract
Purpose: Primary mediastinal germ cell tumors (PMGCTs) are rare. The natural history and optimal treatment strategies still need to be defined. The aim of the study was to summarize the clinical characteristics, treatment outcomes, and prognostic factors of PMGCTs. Methods: Twenty-four patients with PMGCTs who were treated from December 2008 to January 2019 were evaluated retrospectively. The Kaplan–Meier method and Cox regression analysis were used to evaluate factors associated with prognosis. Results: The study population consisted of 23 male patients and 1 female patient. Five patients were diagnosed with seminoma and 19 patients were diagnosed with nonseminoma. The median follow-up time for all patients was 15.8 (3.9–114.5) months. The 5-year overall survival (OS) and progression free survival (PFS) rates for all patients were 65.2 and 44.3%. For nonseminoma and seminoma, the 5-year OS rates were 54.1 and 100% (P = 0.093), respectively, and the 5-year PFS rates were 28.7 and 100%, respectively (P = 0.044). In patients with nonseminoma, first-line radiotherapy indicated superior OS and PFS (P = 0.037 and 0.027, respectively). The median survival time after recurrence was 4.3 months and the 1-year survival rate after recurrence was 23.4%. Conclusion: These results indicated that in PMGCTs, the prognosis of seminoma is superior to that of nonseminoma. Radiotherapy may be an essential treatment in patients with nonseminoma. Patients with relapse have unfavorable prognosis.
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Affiliation(s)
- Lu Wang
- Department of Radiotherapy, Peking University Third Hospital, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
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Zhao J, Fan Z, Chen D, Zhuo M, Liang Z, Li L, Gao Y, Wang X, Yu Z, Cai C, Dong D, Zhao J, Gu W, Zhang M, Chen R, Xia X. Co-mutation features in treatment-naïve EGFR-mutant lung adenocarcinoma. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.e21616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21616 Background: In Chinese patients with lung adenocarcinoma, the positive rate of EGFR mutation was 40% - 50%, EGFR-TKIs therapy for lung cancer was also aimed at this part of patients. However, different EGFR mutation types have different therapeutic effects, this study focuses on different EGFR mutation types to divide the population of lung adenocarcinoma. Methods: We retrospectively reviewed gene test results of two hundred and sixty-two treatment-naïve adenocarcinoma patients. Tumor tissues (199, 76%), plasma (46, 17.5%) and other samples (17, 6.5%) were subject to next-generation sequencing using a 59-gene panel, which enables simultaneously assess SNV, Indel, rearrangements and CNV variations. Results: There were 174 females. These patients were divided into four groups, which 139 were EGFR L858R, 99 were EGFR exon 19 deletion, 7 were EGFR 20 ins and 17 were uncommon EGFR mutations, the co-mutation proportions with EGFR were 84.9% (118/139), 76.8% (76/99), 71.4% (5/7) and 94.1% (16/17) respectively. The mean numbers of co-mutation genes in L858R and exon 19 deletion were 4.173 and 3.258 (p<0.05). TP53 mutation was detected in 14.3% (1/7) 20ins group, which had a significant difference to L858R (59.7%, 83/139) and uncommon mutation groups (70.6%, 12/17) (p<0.05). Meanwhile, EGFR amplification proportion in L858R (18%, 25/139) and exon 19 deletion (6.1%, 6/99) were significantly different (p<0.05). The actionable mutations associated with target therapy involved in multiple pathways, for example, the HRR pathway and cell cycle pathway, related genes had no significant difference among the four groups. In these lung adenocarcinoma patients, we also found 6 EGFR T790M (2.3%, 6/262). Three cases accompanied with exon 19 deletion, and another three were L858R, no distribution in 20ins and uncommon groups. Conclusions: The phenomenon of concurrent gene mutation in treatment-naïve EGFR-mutant lung adenocarcinoma is common. EGFR mutant subgroups have different co-mutation features, like gene number and mutated genes. It may be the factor leading to different therapeutic effects of EGFR-TKIs, and indicate the importance of multiplex molecular test and further researches of target therapies.
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Affiliation(s)
- Jun Zhao
- Peking University Cancer Hospital & Institute, Beijing, China
| | - Zaiwen Fan
- Air Force Medical Center . PLA, Beijing, China
| | | | - Minglei Zhuo
- Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhen Liang
- Peking University Cancer Hospital & Institute, Beijing, China
| | - Lin Li
- Beijing Hospital, Beijing, China
| | - Yun Gao
- Aerospace Center Hospital (ASCH), Beijing, China
| | - Xiaorong Wang
- Beijing Jingmei Group General Hospital, Beijing, China
| | - Zhuo Yu
- Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Cunliang Cai
- Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Dapeng Dong
- Beijing Huian Integrated Hospital, Beijing, China
| | | | | | - Min Zhang
- Geneplus-Beijing Ltd., Beijing, China
| | | | - Xuefeng Xia
- Houston Methodist Research Institute, Weill Cornell School of Medicine, Houston, TX
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Yuan B, Zhao J, Zhou C, Wang X, Zhu B, Zhuo M, Dong X, Feng J, Yi C, Yang Y, Zhang H, Zhou W, Chen Z, Yang S, Ai X, Chen K, Cui X, Liu D, Shi C, Wu W, Zhang Y, Chang L, Li J, Chen R, Yang S. Co-Occurring Alterations of ERBB2 Exon 20 Insertion in Non-Small Cell Lung Cancer (NSCLC) and the Potential Indicator of Response to Afatinib. Front Oncol 2020; 10:729. [PMID: 32477948 PMCID: PMC7236802 DOI: 10.3389/fonc.2020.00729] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Accepted: 04/16/2020] [Indexed: 12/22/2022] Open
Abstract
Background: Human epidermal growth factor receptor 2 (ERBB2, HER-2) exon 20 insertion (ERBB2ex20ins) remains a refractory oncogenic driver in lung cancer. So far there is limited data showing the co-occurring mutation background of ERBB2ex20ins in Chinese lung cancer and its relationship with response to afatinib. Patients and Methods: A total of 112 Chinese patients with ERBB2ex20ins identified by next-generation sequencing from 17 hospitals were enrolled. The clinical outcomes of 18 patients receiving afatinib treatment were collected. Results: Among the 112 patients, insertion-site subtypes comprised of A775ins (71%; 79/112), G776indel (17%; 19/112), and P780ins (12%; 14/112). There were 66.1% (74/112) of patients carrying TP53 co-mutation and FOXA1 was the most prevalent co-amplified gene (5.5%, 3/55). The co-occurring genomic feature was similar among three insertional-site subtypes and had an overall strong concordance with the western population from the MSKCC cohort (R 2 = 0.74, P < 0.01). For the prognosis, patients with co-occurring mutation in cell-cycle pathway especially TP53 showed shorter OS than patients without [median OS: 14.5 m (95% CI:12.7-16.3 m) vs. 30.3 m (95% CI: not reached), p = 0.04], while the OS was comparable among three subtypes. For the response to afatinib, ERBB2ex20ins as a subclonal variant was an independent factor relating to shorter PFS [median PFS: 1.2 m (95% CI: 0.8-1.6 m) vs. 4.3 m (95% CI: 3.3-5.3 m), p < 0.05]. Conclusion: Our data revealed co-occurring TP53 represent an unfavorable prognosis of patients with ERBB2ex20ins, emphasizing the more valuable role of the co-mutation patterns than insertion-site subtypes in predicting prognosis of this group of patients. Moreover, the clonality status of ERBB2ex20ins was identified as a potential indicator for response to afatinib.
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Affiliation(s)
- Bo Yuan
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiumei Wang
- Department of Oncology, Inner Mongolia Autonomous Region Cancer Hospital, Hohhot, China
| | - Bo Zhu
- Department of Oncology, Xinqiao Hospital, Chongqing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xilin Dong
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jiemei Feng
- Department of Respiratory Medicine, Guigang City People's Hospital, Guigang, China
| | - Cuihua Yi
- Department of Medical Oncology, Qilu Hospital of Shandong University, Jinan, China
| | - Yunpeng Yang
- Department of Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hua Zhang
- Department of Oncology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Wangyan Zhou
- Department of Party Affairs, The First Affiliated Hospital of University of South China, Hengyang, China
| | - Zhengtang Chen
- Department of Oncology, Xinqiao Hospital, Chongqing, China
| | - Sheng Yang
- Department of Oncology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Xinghao Ai
- Lung Tumor Clinical Medical Center, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Kehe Chen
- Department of Oncology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Xuefan Cui
- Department of Respiratory Medicine, The First Affiliated Hospital With Nanjing Medical University, Nanjing, China
| | - Difa Liu
- Department of Oncology, Haian People's Hospital, Nantong, China
| | - Chunmei Shi
- Department of Oncology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Wei Wu
- Department of Thoracic Surgery, The First Hospital Affiliated to AMU (Southwest Hospital), Chongqing, China
| | - Yanjun Zhang
- Department of Oncology, Shaanxi Provincial Cancer Hospital, Xi'an, China
| | | | - Jin Li
- Geneplus-Beijing, Beijing, China
| | | | - Shuanying Yang
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Wang Y, Zheng Q, Jia B, An T, Zhao J, Wu M, Zhuo M, Li J, Zhong J, Chen H, Yang X, Chi Y, Dong Z, Sepesi B, Zhang J, Gay CM, Wang Z. Effects of Surgery on Survival of Early-Stage Patients With SCLC: Propensity Score Analysis and Nomogram Construction in SEER Database. Front Oncol 2020; 10:626. [PMID: 32391280 PMCID: PMC7193096 DOI: 10.3389/fonc.2020.00626] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 04/03/2020] [Indexed: 12/25/2022] Open
Abstract
Purpose: We aimed to assess the survival benefit of surgery for patients with stage IA–IIB small cell lung cancer (SCLC) and construct a nomogram for predicting overall survival (OS). Methods: Patients who had been diagnosed with stage IA–IIB SCLC between 2004 and 2014 and who had received active treatment were selected from the Surveillance, Epidemiology, and End Results database. The primary endpoint was OS. Cox proportional hazards models and propensity score (PS) analyses were used to compare the associations between surgery and OS. The probability of 1- and 3-year OS was predicted using a nomogram. Results: We reviewed 2,246 patients. The median OS of the surgery and non-surgery groups was 35 months and 19 months, respectively. Multivariable Cox proportional hazards models showed a survival benefit in the surgery group (hazards ratio [HR], 0.642; 95% confidence interval [CI], 0.557–0.740; P < 0.001). To balance the between-group measurable confounders, the impact of surgery on OS was assessed using PS matching. After PS matching, OS analysis still favored surgical resection. The PS-stratification, PS-weighting, and PS-adjustment models showed similar results to demonstrate a statistically significant benefit for surgery. Further, the nomogram was well calibrated and had good discriminative ability (Harrell's C-index = 0.645). Conclusion: Our analysis suggests that surgery is a viable option for patients with early-stage SCLC. Our nomogram is a viable tool for quantifying treatment trade-off assumptions and may assist clinicians in decision-making. Future work is needed to validate our results and improve our tools.
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Affiliation(s)
- Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhi Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, the University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Carl M Gay
- Department of Thoracic/Head and Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
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Wang S, Liang Q, Chi Y, Zhuo M, An T, Duan J, Wang Z, Wang Y, Zhong J, Yang X, Chen H, Wang J, Zhao J. Retrospective analysis of the effectiveness and tolerability of nab-paclitaxel in Chinese elderly patients with advanced non-small-cell lung carcinoma. Thorac Cancer 2020; 11:1149-1159. [PMID: 32162417 PMCID: PMC7180581 DOI: 10.1111/1759-7714.13356] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 01/25/2020] [Accepted: 01/27/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Previous trials have suggested that elderly patients with non-small-cell lung cancer (NSCLC) could benefit from nanoparticle albumin-bound paclitaxel (nab-paclitaxel). Real-world data on the elderly Chinese population are lacking. This study aimed to analyze the effectiveness and tolerability of nab-paclitaxel in Chinese elderly patients (≥65 years) with advanced NSCLC. METHODS This study included 76 patients with a primary diagnosis of IIIB-IV NSCLC from January 2010 to December 2017 at Peking University Cancer Hospital, who received nab-paclitaxel (125 or 130 mg/m2 i.v.) every three weeks. The overall survival (OS), progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), and adverse events (AEs) were analyzed. RESULTS There were 12 patients who received nab-paclitaxel as the first-line treatment (seven also received carboplatin), and 64 received nab-paclitaxel as the latter-line treatment. The overall ORR, DCR, median PFS, and median OS were 14.5%, 69.7%, 5.2 months, and 12.2 months, respectively. The Eastern Cooperative Oncology Group performance status of one and the age of 70-74 years were independently associated with longer OS, while early treatment line of nab-paclitaxel and age of 70-74 years were independently associated with longer PFS. The most common AEs were anemia, leukopenia, gastrointestinal reaction, fatigue, and peripheral neuropathy, which were all manageable. Dose adjustment or treatment discontinuation was encountered in 10 patients because of AEs. The incidence of AEs was not different among age subgroups. CONCLUSIONS Nab-paclitaxel has a good clinical response profile in Chinese elderly patients with stage IIIB-IV NSCLC. Prospective clinical trials are needed to confirm these results. KEY POINTS Significant findings of the study Nanoparticle albumin-bound paclitaxel (nab-paclitaxel) has a good clinical response profile in Chinese elderly (≥65 years) patients with stage IIIB-IV non-small-cell lung cancer (NSCLC), with acceptable and manageable adverse events. What this study adds Preliminary evidence shows a good clinical response from treatment with nab-paclitaxel in Chinese elderly patients with advanced NSCLC.
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Affiliation(s)
- Shuhang Wang
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qiuping Liang
- Department of Respiratory and Critical Care, The Third People's Hospital in Chengdu, Chengdu, China
| | - Yujia Chi
- Department of Thoracic Medical Oncology-I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Minglei Zhuo
- Department of Thoracic Medical Oncology-I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Department of Thoracic Medical Oncology-I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Jianchun Duan
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhijie Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuyan Wang
- Department of Thoracic Medical Oncology-I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Jia Zhong
- Department of Thoracic Medical Oncology-I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Xue Yang
- Department of Thoracic Medical Oncology-I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Hanxiao Chen
- Department of Thoracic Medical Oncology-I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Jie Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Zhao
- Department of Thoracic Medical Oncology-I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
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35
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Wang Z, Duan J, Cai S, Han M, Dong H, Zhao J, Zhu B, Wang S, Zhuo M, Sun J, Wang Q, Bai H, Han J, Tian Y, Lu J, Xu T, Zhao X, Wang G, Cao X, Li F, Wang D, Chen Y, Bai Y, Zhao J, Zhao Z, Zhang Y, Xiong L, He J, Gao S, Wang J. Assessment of Blood Tumor Mutational Burden as a Potential Biomarker for Immunotherapy in Patients With Non-Small Cell Lung Cancer With Use of a Next-Generation Sequencing Cancer Gene Panel. JAMA Oncol 2020; 5:696-702. [PMID: 30816954 PMCID: PMC6512308 DOI: 10.1001/jamaoncol.2018.7098] [Citation(s) in RCA: 320] [Impact Index Per Article: 80.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Question Is blood tumor mutational burden estimated by a next-generation gene sequencing panel with an optimized panel size and algorithm associated with clinical outcomes in patients with non–small cell lung cancer treated with anti–programmed cell death 1 (anti–PD-1) and anti–programmed cell death ligand 1 (anti–PD-L1) agents? Findings This study of 2 independent cohorts of patients (48 in cohort 1 and 50 in cohort 2) found that NCC-GP150 was a cost-effective panel for tumor mutational burden estimation with satisfactory performance. Blood tumor mutational burden estimated by NCC-GP150 correlated well with tissue tumor mutational burden calculated by whole-exome sequencing, and a blood tumor mutational burden of 6 or higher was positively associated with clinical benefits of anti–PD-1 and anti–PD-L1 therapy in patients with advanced non–small cell lung cancer. Meaning The findings suggest that blood tumor mutational burden measured by NCC-GP150 is a potential biomarker to identify patients with non–small cell lung cancer who could benefit from anti–PD-1 and anti–PD-L1 therapy. Importance Tumor mutational burden (TMB), as measured by whole-exome sequencing (WES) or a cancer gene panel (CGP), is associated with immunotherapy responses. However, whether TMB estimated by circulating tumor DNA in blood (bTMB) is associated with clinical outcomes of immunotherapy remains to be explored. Objectives To explore the optimal gene panel size and algorithm to design a CGP for TMB estimation, evaluate the panel reliability, and further validate the feasibility of bTMB as a clinical actionable biomarker for immunotherapy. Design, Setting, and Participants In this cohort study, a CGP named NCC-GP150 was designed and virtually validated using The Cancer Genome Atlas database. The correlation between bTMB estimated by NCC-GP150 and tissue TMB (tTMB) measured by WES was evaluated in matched blood and tissue samples from 48 patients with advanced NSCLC. An independent cohort of 50 patients with advanced NSCLC was used to identify the utility of bTMB estimated by NCC-GP150 in distinguishing patients who would benefit from anti–programmed cell death 1 (anti–PD-1) and anti–programmed cell death ligand 1 (anti–PD-L1) therapy. The study was performed from July 19, 2016, to April 20, 2018. Main Outcomes and Measures Assessment of the Spearman correlation coefficient between bTMB estimated by NCC-GP150 and tTMB calculated by WES. Evaluation of the association of bTMB level with progression-free survival and response to anti–PD-1 and anti–PD-L1 therapy. Results This study used 2 independent cohorts of patients with NSCLC (cohort 1: 48 patients; mean [SD] age, 60 [13] years; 15 [31.2%] female; cohort 2: 50 patients; mean [SD] age, 58 [8] years; 15 [30.0%] female). A CGP, including 150 genes, demonstrated stable correlations with WES for TMB estimation (median r2 = 0.91; interquartile range, 0.89-0.92), especially when synonymous mutations were included (median r2 = 0.92; interquartile range, 0.91-0.93), whereas TMB estimated by the NCC-GP150 panel found higher correlations with TMB estimated by WES than most of the randomly sampled 150-gene panels. Blood TMB estimated by NCC-GP150 correlated well with the matched tTMB calculated by WES (Spearman correlation = 0.62). In the anti–PD-1 and anti–PD-L1 treatment cohort, a bTMB of 6 or higher was associated with superior progression-free survival (hazard ratio, 0.39; 95% CI, 0.18-0.84; log-rank P = .01) and objective response rates (bTMB ≥6: 39.3%; 95% CI, 23.9%-56.5%; bTMB <6: 9.1%; 95% CI, 1.6%-25.9%; P = .02). Conclusions and Relevance The findings suggest that established NCC-GP150 with an optimized gene panel size and algorithm is feasible for bTMB estimation, which may serve as a potential biomarker of clinical benefit in patients with NSCLC treated with anti–PD-1 and anti–PD-L1 agents.
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Affiliation(s)
- Zhijie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jianchun Duan
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shangli Cai
- The Medical Department, 3D Medicines Inc, Shanghai, China
| | - Miao Han
- The Bioinformatics Department, R&D Center of Precision Medicine, 3D Medicines Inc, Shanghai, China
| | - Hua Dong
- The Bioinformatics Department, R&D Center of Precision Medicine, 3D Medicines Inc, Shanghai, China
| | - Jun Zhao
- Department of Thoracic Medical Oncology, Peking University School of Oncology, Beijing Cancer Hospital & Institute, Beijing, China
| | - Bo Zhu
- Cancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Shuhang Wang
- GCP Center, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Minglei Zhuo
- Department of Thoracic Medical Oncology, Peking University School of Oncology, Beijing Cancer Hospital & Institute, Beijing, China
| | - Jianguo Sun
- Cancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Qiming Wang
- Department of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Hua Bai
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jiefei Han
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yanhua Tian
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jing Lu
- The Bioinformatics Department, R&D Center of Precision Medicine, 3D Medicines Inc, Shanghai, China
| | - Tongfu Xu
- The Medical Department, 3D Medicines Inc, Shanghai, China
| | - Xiaochen Zhao
- The Medical Department, 3D Medicines Inc, Shanghai, China
| | - Guoqiang Wang
- The Medical Department, 3D Medicines Inc, Shanghai, China
| | - Xinkai Cao
- The Bioinformatics Department, R&D Center of Precision Medicine, 3D Medicines Inc, Shanghai, China
| | - Fugen Li
- The Bioinformatics Department, R&D Center of Precision Medicine, 3D Medicines Inc, Shanghai, China
| | - Dalei Wang
- The 3DMed Clinical Laboratory, 3D Medicines Inc, Shanghai, China
| | - Yuejun Chen
- The 3DMed Clinical Laboratory, 3D Medicines Inc, Shanghai, China
| | - Yuezong Bai
- The Medical Department, 3D Medicines Inc, Shanghai, China
| | - Jing Zhao
- The Medical Department, 3D Medicines Inc, Shanghai, China
| | - Zhengyi Zhao
- The Medical Department, 3D Medicines Inc, Shanghai, China
| | - Yuzi Zhang
- The Medical Department, 3D Medicines Inc, Shanghai, China
| | - Lei Xiong
- The Medical Department, 3D Medicines Inc, Shanghai, China
| | - Jie He
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shugeng Gao
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Zhao J, Lin G, Zhuo M, Fan Z, Miao L, Chen L, Zeng A, Yin R, Ou Y, Shi Z, Yin J, Gao W, Chen J, Zhou X, Zeng Y, Liu X, Xu H, Chen R, Xia X, Carbone DP. Next-generation sequencing based mutation profiling reveals heterogeneity of clinical response and resistance to osimertinib. Lung Cancer 2019; 141:114-118. [PMID: 31839416 DOI: 10.1016/j.lungcan.2019.10.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 10/13/2019] [Accepted: 10/21/2019] [Indexed: 10/25/2022]
Abstract
OBJECTIVES The 3rd generation epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR TKI) osimertinib has shown promising efficacy both in EGFR-mutant, T790M positive non-small cell lung cancer (NSCLC) patients who have become resistant to 1st or 2nd generation EGFR TKIs and patients with sensitizing EGFR mutations as the first line therapy. However, the degree and duration of response to osimertinib are heterogeneous. We hypothesized that the concurrent genomic landscape of these tumors could play a role in clinical outcomes and/or mechanisms of resistance. MATERIALS AND METHODS We conducted a retrospective multicenter study of lung cancer patients who had developed resistance to osimertinib. Genomic profiling was done for all the patients by using targeted next-generation sequencing encompassing 59-1021 cancer-related genes. RESULTS AND CONCLUSION Known EGFR-dependent resistant mutations and activation of alternative pathways were identified in 44 % of all the patients with great heterogeneity. Gain-of-function mutations of CTNNB1 were highly enriched in our cohort. Some other putative resistance mechanisms to osimertinib, such as the recurrent EGFR V834 L mutation, were also identified. Moreover, pathogenic mutations of TP53 were negatively related to the efficacy of osimertinib. To sum up, heterogeneity of resistance to osimertinib was not only manifested by inter-individual differences, but also embodied in its intra-individual diversity.
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Affiliation(s)
- Jun Zhao
- The First Department of Thoracic Oncology, Beijing University School of Oncology, Beijing Cancer Hospital, Beijing, 100142, China
| | - Gen Lin
- Department of Thoracic Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
| | - Minglei Zhuo
- The First Department of Thoracic Oncology, Beijing University School of Oncology, Beijing Cancer Hospital, Beijing, 100142, China
| | - Zaiwen Fan
- Department of Medical Oncology, Airforce Medical Center of PLA, Beijing, 100142, China
| | - Liyun Miao
- Department of Respiratory Medicine, Drum Tower Hospital Affiliated to Medical School of Nanjing University, Nanjing, 210008, China
| | - Likun Chen
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Aiping Zeng
- No. 2 Department of Chemotherapy, Affiliated Tumor Hospital, Guangxi Medical University, Nanning, 530021, China
| | - Rong Yin
- Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, Nanjing, 210009, China
| | - Yangming Ou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, Department of Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
| | - Zhihui Shi
- Respiratory Medicine Department, the Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Jie Yin
- Department of Respiratory Diseases, Nanjing General Hospital of Nanjing Military Command, Nanjing, 210002, China
| | - Wen Gao
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210036, China
| | - Jianhua Chen
- Department of Thoracic Medicine, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410000, China
| | - Xiangdong Zhou
- Department of Respiratory Diseases, The First Affiliated Hospital of Third Military Medical University, Chongqing, 400038, China
| | - Yong Zeng
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, China
| | - Xiang Liu
- Department of Cardiothoracic Surgery, The Second Hospital Affiliated to University of South China, Hengyang, 421001, China
| | - Huamin Xu
- Geneplus-Beijing Ltd., Floor 9, Building 6, Medical Park Road, Zhongguancun Life Science Park, Beijing, 102206, China
| | - Rongrong Chen
- Geneplus-Beijing Ltd., Floor 9, Building 6, Medical Park Road, Zhongguancun Life Science Park, Beijing, 102206, China
| | - Xuefeng Xia
- Geneplus-Beijing Ltd., Floor 9, Building 6, Medical Park Road, Zhongguancun Life Science Park, Beijing, 102206, China
| | - David P Carbone
- Department of Internal Medicine, Division of Medical Oncology, The Ohio State University Medical Center, Columbus, OH, 43210, USA.
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37
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Zhuo M, Guan Y, Yang X, Hong L, Wang Y, Li Z, Chen R, Abbas HA, Chang L, Gong Y, Wu N, Zhong J, Chen W, Chen H, Dong Z, Zhu X, Li J, Wang Y, An T, Wu M, Wang Z, Wang J, Roarty EB, Rinsurongkawong W, Lewis J, Roth JA, Swisher SG, Lee JJ, Heymach JV, Wistuba II, Kalhor N, Yang L, Yi X, Futreal PA, Glisson BS, Xia X, Zhang J, Zhao J. The Prognostic and Therapeutic Role of Genomic Subtyping by Sequencing Tumor or Cell-Free DNA in Pulmonary Large-Cell Neuroendocrine Carcinoma. Clin Cancer Res 2019; 26:892-901. [PMID: 31694833 DOI: 10.1158/1078-0432.ccr-19-0556] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 06/20/2019] [Accepted: 10/28/2019] [Indexed: 12/15/2022]
Abstract
PURPOSE The optimal systemic treatment for pulmonary large-cell neuroendocrine carcinoma (LCNEC) is still under debate. Previous studies showed that LCNEC with different genomic characteristics might respond differently to different chemotherapy regimens. In this study, we sought to investigate genomic subtyping using cell-free DNA (cfDNA) analysis in advanced LCNEC and assess its potential prognostic and predictive value. EXPERIMENTAL DESIGN Tumor DNA and cfDNA from 63 patients with LCNEC were analyzed by target-captured sequencing. Survival and response analyses were applied to 54 patients with advanced stage incurable disease who received first-line chemotherapy. RESULTS The mutation landscape of frequently mutated cancer genes in LCNEC from cfDNA closely resembled that from tumor DNA, which led to a 90% concordance in genomic subtyping. The 63 patients with LCNEC were classified into small-cell lung cancer (SCLC)-like and non-small cell lung cancer (NSCLC)-like LCNEC based on corresponding genomic features derived from tumor DNA and/or cfDNA. Overall, patients with SCLC-like LCNEC had a shorter overall survival than those with NSCLC-like LCNEC despite higher response rate (RR) to chemotherapy. Furthermore, treatment with etoposide-platinum was associated with superior response and survival in SCLC-like LCNEC compared with pemetrexed-platinum and gemcitabine/taxane-platinum doublets, while treatment with gemcitabine/taxane-platinum led to a shorter survival compared with etoposide-platinum or pemetrexed-platinum in patients with NSCLC-like LCNEC. CONCLUSIONS Genomic subtyping has potential in prognostication and therapeutic decision-making for patients with LCNEC and cfDNA analysis may be a reliable alternative for genomic profiling of LCNEC.
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Affiliation(s)
- Minglei Zhuo
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yanfang Guan
- GenePlus-Beijing, Beijing, China.,Geneplus-Beijing Institute, Beijing, China.,Department of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Xue Yang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Lingzhi Hong
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yuqi Wang
- GenePlus-Beijing, Beijing, China.,Geneplus-Beijing Institute, Beijing, China.,Department of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Zhongwu Li
- Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Runzhe Chen
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hussein A Abbas
- Hematology and Oncology Fellowship Program, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lianpeng Chang
- GenePlus-Beijing, Beijing, China.,Geneplus-Beijing Institute, Beijing, China
| | - Yuhua Gong
- GenePlus-Beijing, Beijing, China.,Geneplus-Beijing Institute, Beijing, China.,Department of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Nan Wu
- Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jia Zhong
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | | | - Hanxiao Chen
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhi Dong
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiang Zhu
- Department of Pathology, School of Basic Medical Sciences, Third Hospital, Peking University Health Science Center, Beijing, China
| | - Jianjie Li
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuyan Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Meina Wu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ziping Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jiayin Wang
- Department of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Emily B Roarty
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Waree Rinsurongkawong
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeff Lewis
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jack A Roth
- Department of Thoracic Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stephen G Swisher
- Department of Thoracic Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John V Heymach
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Neda Kalhor
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ling Yang
- GenePlus-Beijing, Beijing, China.,Geneplus-Beijing Institute, Beijing, China
| | - Xin Yi
- GenePlus-Beijing, Beijing, China.,Geneplus-Beijing Institute, Beijing, China.,Department of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bonnie S Glisson
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | | | - Jianjun Zhang
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas. .,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jun Zhao
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
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Yuan B, Zhao J, Zhou C, Wang X, Zhu B, Zhuo M, Yi C, Zhang H, Dong X, Feng J, Yang Y, Zhou W, Chen Z, Yang S, Zhang Y, Ai X, Chen K, Cui X, Liu D, Wu W, Shi C, Chang L, Li J, Chen R, Yang S. P1.01-126 The Co-Occurring Genomic Landscape of ERBB2 Exon 20 Insertion in Non-Small Cell Lung Cancer (NSCLC) and the Potential Indicator of Response to Afatinib. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Yang X, Zhuo M, Shi A, Yang S, Wang Z, Wu M, An T, Wang Y, Li J, Zhong J, Chen H, Jia B, Dong Z, Zhao J. Optimal first-line treatment for advanced thymic carcinoma. Thorac Cancer 2019; 10:2081-2087. [PMID: 31574576 PMCID: PMC6825903 DOI: 10.1111/1759-7714.13181] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 08/09/2019] [Accepted: 08/10/2019] [Indexed: 12/19/2022] Open
Abstract
Background Thymic carcinomas (TCs) are rare aggressive tumors with no standard first‐line treatment. This study was conducted to determine the optimal chemotherapy regimen for advanced TC. Methods This retrospective study included 67 patients treated for stage IV TC in 2006–2015. The primary endpoints were the objective response rate (ORR) and progression‐free survival (PFS) with different chemotherapy regimens. Multivariate Cox regression analysis was used to identify factors associated with PFS, including metastatic status, radiotherapy post‐chemotherapy, primary lesion resection before chemotherapy, and chemotherapy regimen. Results A total of 36 patients received a paclitaxel‐platinum regimen, 31 received a gemcitabine‐platinum regimen, 14 underwent primary lesion resection, and 33 underwent radiotherapy. ORR was 31% (11/36) and 29% (9/31) in the paclitaxel‐platinum and gemcitabine‐platinum groups, respectively (P = 0.890). Median PFS, one‐year PFS rate, and two‐year PFS rate were 7.0 months, 26%, and 6% with paclitaxel‐platinum treatment and 12 months, 48%, and 24% with gemcitabine‐platinum treatment (log‐rank P = 0.030). Median PFS, one‐year PFS rate, and two‐year PFS rate were 18.0 months, 57%, and 33% with surgical resection and 7.3 months, 31%, and 7% without resection (log‐rank P = 0.030). Median PFS, one‐year PFS rate, and two‐year PFS rate were 13.0 months, 52%, and 20% with radiotherapy and 4.3 months, 22%, and 7% without radiotherapy (log‐rank P = 0.001). In multivariate analysis, metastatic status (hazard ratio [HR], 0.33, P = 0.004), surgical resection (HR, 0.32; P = 0.004), and radiotherapy (HR, 0.32; P < 0.001) were associated with superior PFS. Conclusions Both gemcitabine‐platinum and paclitaxel‐platinum regimens were efficacious for advanced TC. Primary lesion resection and radiotherapy may also benefit selected patients.
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Affiliation(s)
- Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Anhui Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Shengnan Yang
- Department of Geriatric Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Zhi Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
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Zhong J, Guo Z, Fan L, Zhao X, Zhao B, Cao Z, Cheng L, Shi Y, Li X, Zhang Y, An T, Wu M, Wang Y, Zhuo M, Li J, Yang X, Chen H, Jia B, Zhao J. ABCB1 polymorphism predicts the toxicity and clinical outcome of lung cancer patients with taxane-based chemotherapy. Thorac Cancer 2019; 10:2088-2095. [PMID: 31571407 PMCID: PMC6825927 DOI: 10.1111/1759-7714.13184] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 08/13/2019] [Accepted: 08/14/2019] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Taxane-based chemotherapy is widely used in lung cancer. ABCB1 have a role in the prediction of treatment response and toxicity of chemotherapy in solid tumors. In this retrospective study, we investigated ABCB1 polymorphism on response and toxicity in taxane-based chemotherapy in lung cancer patients. METHODS A total of 122 lung cancer patients who received taxane-based chemotherapy were included in this study. Fluorescence in situ hybridization (FISH) was used for ABCB1 polymorphism detection. Turbidimetric inhibition immunoassay was used for pharmacokinetic analysis. Statistical analysis was performed using SPSS 20.0. RESULTS The frequency of the ABCB1 2677 site TT/TG/GG genotype was 32.8%, 43.4% and 23.8%, respectively and the frequency of the 3435 sites the TT/TC/CC genotype was 13.9%, 44.3% and 41.8%, respectively. The occurrence of neurotoxicity was higher in patients who had ABCB1 3435 site mutation (TT 88.2%, TC 22.2%, CC 21.6% P = 0.004). There was no significant difference between ABCB1 genotypes with regard to other chemotherapy-induced toxicity. For non-small cell lung cancer (NSCLC) patients, those harboring ABCB1 2677 and 3435 site wild-type patients had longer median progression-free survival (PFS) in the paclitaxel subgroup (3435 site: TT 3.87 vs. TC 9.50 vs. CC 14.13 months; P < 0.001; 2677 site: TT 4.37 vs. TG 9.73 vs. GG 12.1 months; P = 0.013). The area under the concentration-time curve (AUC) of 20 patients treated with docetaxel increased for ABCB1 mutation subgroups. CONCLUSION ABCB1 mutation is associated with higher neurotoxicity of taxane-based chemotherapy. It also predicts shorter PFS for NSCLC in paclitaxel-based treatment.
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Affiliation(s)
- Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zihan Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pharmacy, Peking University Cancer Hospital & Institute, Beijing, China
| | - Liping Fan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pharmacy, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xinghui Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
| | - Bingqing Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pharmacy, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhigang Cao
- Department of Medical Oncology, Mancheng People's Hospital, Baoding, China
| | - Linlin Cheng
- Deportment of Medical Oncology, Dong'e People's Hospital, Liaocheng, China
| | - Yuanyuan Shi
- Department of Medical Oncology, Mancheng People's Hospital, Baoding, China
| | - Xiaoting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yanhua Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pharmacy, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital & Institute, Beijing, China
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Zhong J, Zheng Q, An T, Zhao J, Wu M, Wang Y, Zhuo M, Li J, Zhao X, Yang X, Jia B, Chen H, Dong Z, Wang J, Chi Y, Zhai X, Wang Z. Nomogram to predict cause-specific mortality in extensive-stage small cell lung cancer: A competing risk analysis. Thorac Cancer 2019; 10:1788-1797. [PMID: 31318178 PMCID: PMC6718022 DOI: 10.1111/1759-7714.13148] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 06/25/2019] [Accepted: 06/27/2019] [Indexed: 01/21/2023] Open
Abstract
Background Small‐cell lung cancer (SCLC) is one of the most aggressive types of lung cancer. The prognosis for SCLC patients depends on many factors. The intent of this study was to construct a nomogram model to predict mortality for extensive‐stage SCLC. Methods Original data was collected from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute in the United States. A nomogram prognostic model was constructed to predict death probability for extensive‐stage SCLC. Results A total of 16 554 extensive‐stage SCLC patients from 2004 to 2014 in the SEER database were included in this study. Gender, race, age, TNM staging (including tumor extent, nodal status, and metastasis), and treatment (surgery, chemotherapy, and radiotherapy) were identified as independent predictors for lung cancer‐specific death for extensive‐stage SCLC patients. A nomogram model was constructed based on multivariate models for lung cancer related death and other cause related death. Performance of the two models was validated by calibration and discrimination, with C‐index values of 0.714 and 0.638, respectively. Conclusion A prognostic nomogram model was established to predict death probability for extensive‐stage SCLC. This validated prognostic model may be beneficial for treatment strategy choice and survival prediction.
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Affiliation(s)
- Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | | | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhi Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jingjing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaoyu Zhai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
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Su Z, Wang Z, Ni X, Duan J, Gao Y, Zhuo M, Li R, Zhao J, Ma Q, Bai H, Chen H, Wang S, Chen X, An T, Wang Y, Tian Y, Yu J, Wang D, Xie XS, Bai F, Wang J. Inferring the Evolution and Progression of Small-Cell Lung Cancer by Single-Cell Sequencing of Circulating Tumor Cells. Clin Cancer Res 2019; 25:5049-5060. [PMID: 31113842 DOI: 10.1158/1078-0432.ccr-18-3571] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 03/18/2019] [Accepted: 05/15/2019] [Indexed: 11/16/2022]
Abstract
PURPOSE Genomic analyses of small-cell lung cancer (SCLC) are limited by the availability of tumor specimens. This study aimed to investigate the suitability of single-cell sequencing of circulating tumor cells (CTC) as a method of inferring the evolution and progression of SCLCs. EXPERIMENTAL DESIGN Between July 1, 2011, and July 28, 2014, 48 consecutively diagnosed patients with SCLC were recruited for this study. CTCs were captured from each patient with CellSearch system. Somatic mutations and copy number alterations (CNA) were monitored by single-cell sequencing of CTCs during chemotherapy. RESULTS Single-cell sequencing of CTCs can provide a mutational atlas for SCLC. A 10-CNA score based on single CTCs was established as a classifier for outcomes of initial chemotherapy in patients with SCLC. The survival analyses demonstrated that patients with low CNA scores (<0) had significantly prolonged progression-free survival (PFS) and overall survival (OS) after first-line chemotherapy in comparison with those with high scores (≥0; PFS: 212 days vs. 110.5 days, P = 0.0042; and OS: 223.5 days vs. 424 days, P = 0.0006). The positive predictive value and negative predictive value of the CNA score for clinical subtype (refractory vs. sensitive) were 80.0% and 93.7%, respectively. By tracing allele-specific CNAs in CTCs isolated at different time points during chemotherapy, we showed that CNA heterogeneity might result from allelic losses of initially consistent CNAs. CONCLUSIONS Single CTC-based sequencing can be utilized to depict the genomic profiles and evolutionary history of SCLC, thus offering the potential for clinical stratification of patients with SCLC.
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Affiliation(s)
- Zhe Su
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China.,Peking-Tsinghua Center for Life Science, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Zhijie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiaohui Ni
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China.,Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts
| | - Jianchun Duan
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yan Gao
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Minglei Zhuo
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Ruoyan Li
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Jun Zhao
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Qi Ma
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Hua Bai
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Hengyu Chen
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Shuhang Wang
- Clinical Trial Center, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xixi Chen
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Tongtong An
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuyan Wang
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Yanhua Tian
- Peking-Tsinghua Center for Life Science, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Jiangyong Yu
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Di Wang
- Peking-Tsinghua Center for Life Science, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Xiaoliang Sunney Xie
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China. .,Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts
| | - Fan Bai
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China.
| | - Jie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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Zhuo M, Guan YF, Yang X, Hong L, Wang Y, Li Z, Chen R, Abbas H, Zhong J, Chen H, Dong Z, Zhu X, Li J, Roarty E, Rinsurongkawong W, Lewis J, Futreal A, Xia X, Zhang J, Zhao J. cfDNA analysis to reveal association of genomic features with chemotherapy response and survival in patients with pulmonary large-cell neuroendocrine carcinoma. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e14555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e14555 Background: The optimal systemic treatment for pulmonary large-cell neuroendocrine carcinoma (LCNEC) is still under debate. Previous studies showed that LCNEC with different genomic characteristics might respond differently to different chemotherapy regimens suggesting the potential role of genomic profiling in therapeutic decision-making. Tumor biopsies are often inadequate for genomic profiling, while cell-free DNA (cfDNA) analysis has demonstrated great potential in genomic profiling. Methods: A total of 63 patients with LCNEC treated with different chemotherapy regimens (etoposide-platinum doublets, pemetrexed with platinum and gemcitabine, docetaxel, or paclitaxel with platinum, hereafter referred to as SCLC-PE, NSCLC-PEM and NSCLC-GEM/TAX) were enrolled in this study. Samples were collected and included tumor DNA only from 22 patients, cfDNA only from 18 patients and paired tumor DNA and plasma cfDNA from 23 patients. Tumor DNA and cfDNA were sequenced by target-captured 179 genes from Geneplus-Beijing or Oncomine Cancer Panel v3 or 70 genes panel from Guardant 360. Survival and response analyses were only applied to 54 patients who received first line chemotherapy. Results: The mutation landscape of frequently mutated cancer genes in LCNEC from cfDNA closely resembled that from tumor DNA, which led to a 90% concordance in genomic subtyping. We classified LCNEC harboring any of these alterations: RB1 mutation/loss, PTEN mutation/loss, FGFR1/FGFR4 mutation/amplification, TP53 loss, as “SCLC-like” tumors, otherwise as NSCLC-like. Overall, patients with SCLC-like LCNEC had a shorter overall survival (OS) than those with NSCLC-like LCNEC (10.3 vs 14.4 months, p = 0.32) despite higher response rate (RR) (41% vs 22%) to chemotherapy. Furthermore, treatment with SCLC-PE was associated with longer PFS in SCLC-like LCNEC compared to NSCLC-PEM and NSCLC-GEM/TAX (median 8.3 vs 2.3 months, p = 0.0002; median 8.3 vs 5.9 months, p = 0.05), while treatment with NSCLC-GEM/TAX led to a shorter survival compared to SCLC-PE (median 1.9 vs 4.1 months, p = 0.03) or NSCLC-PEM in NSCLC-like LCNEC patients (median 1.9 vs 4 months, p = 0.07). Conclusions: Genomic subtyping has potentials in prognostication and therapeutic decision-making for patients with LCNEC and cfDNA analysis is a reliable alternative for genomic profiling of LCNEC.
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Affiliation(s)
- Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Cancer Hospital, Beijing, China
| | - Yan-Fang Guan
- Geneplus-Beijing Institute, Xi'an Jiaotong University, Beijing, China
| | - Xue Yang
- Beijing Cancer Institute, Beijing, China
| | - Lingzhi Hong
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Yuqi Wang
- Geneplus-Beijing Institute, Beijing, China
| | - Zhongwu Li
- Department of Pathology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Runzhe Chen
- Department of Hematology and Oncology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| | - Hussein Abbas
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jia Zhong
- Peking University Cancer Hospital, Beijing, China
| | - Hanxiao Chen
- Peking University Cancer Hospital, Beijing, China
| | - Zhi Dong
- Perking University, Beijing, China
| | - Xiang Zhu
- Peking University Third Hospital, Beijing, China
| | - Jianjie Li
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Emily Roarty
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Waree Rinsurongkawong
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jeff Lewis
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Andrew Futreal
- The University of Texas MD Anderson Cancer Center, Department of Genomic Medicine, Houston, TX
| | - Xuefeng Xia
- Houston Methodist Research Institute, Weill Cornell School of Medicine, Houston, TX
| | - Jianjun Zhang
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jun Zhao
- Beijing Cancer Hospital, Beijing, China
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Zhuo M, Zheng Q, Chi Y, Jia B, Zhao J, Wu M, An T, Wang Y, Li J, Zhao X, Yang X, Zhong J, Chen H, Dong Z, Wang J, Zhai X, Wang Z. Survival analysis via nomogram of surgical patients with malignant pleural mesothelioma in the Surveillance, Epidemiology, and End Results database. Thorac Cancer 2019; 10:1193-1202. [PMID: 30951250 PMCID: PMC6501014 DOI: 10.1111/1759-7714.13063] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Revised: 03/14/2019] [Accepted: 03/19/2019] [Indexed: 12/14/2022] Open
Abstract
Background Malignant pleural mesothelioma (MPM) is a rare but aggressive tumor that originates from the pleura and has a poor prognosis. Eligible patients can benefit from surgery, but their survival is affected by many factors. Therefore, we created a graphic model that could predict the prognosis of surgically treated patients. Methods We retrospectively analyzed data from the Surveillance, Epidemiology, and End Results database from 2004 to 2014 to identify the key factors affecting the prognosis of surgically treated MPM patients. On this basis we built a nomogram to predict survival. We then evaluated the performance of the nomogram in a validation cohort. Results In a training cohort of 828 cases, independent prognostic factors, including age, gender, histological type, differentiation, N stage, chemotherapy, type of surgery, and lymph node dissection, were identified. We then developed a nomogram to evaluate individual patient survival. In Kaplan–Meier analysis, a higher score in the nomogram was associated with a worse prognosis. We also used a validation cohort consisting of 312 patients to evaluate the performance of the nomogram, which was well calibrated and had good discrimination ability, with concordance indices of 0.715 and 0.656 for the training and validation cohorts, respectively. Conclusion This study has improved our understanding of resected MPM and shown that key factors, including age and histological type, are associated with overall survival. The nomogram is a reliable tool that can help clinicians turn individualized prediction into reality and maximize patient benefit by identifying the most beneficial treatment approach.
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Affiliation(s)
- Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xinghui Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhi Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jingjing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaoyu Zhai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
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Jia B, Zheng Q, Qi X, Zhao J, Wu M, An T, Wang Y, Zhuo M, Li J, Zhao X, Yang X, Zhong J, Chen H, Dong Z, Shi Y, Du F, Wang J, Chi Y, Zhai X, Wang Z. Survival comparison of right and left side non-small cell lung cancer in stage I-IIIA patients: A Surveillance Epidemiology and End Results (SEER) analysis. Thorac Cancer 2019; 10:459-471. [PMID: 30628193 PMCID: PMC6397910 DOI: 10.1111/1759-7714.12959] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 11/23/2018] [Accepted: 12/06/2018] [Indexed: 12/14/2022] Open
Abstract
Background Primary tumors located in the right and left side have distinctive prognoses, but the details have not been fully identified in non‐small cell lung cancer (NSCLC). This study investigated the impact of primary tumor side on long‐term survival in NSCLC patients. Methods Data of 90 407 patients from the Surveillance, Epidemiology, and End Results (SEER) Program were analyzed. To avoid bias between groups, we used innovative propensity score matching (PSM) analysis. Results There was no significant distinction in overall survival (OS) between right (n = 53 496) and left (n = 36 911) side tumors (hazard ratio [HR] 0.993, 95% confidence interval [CI] 0.9756–1.011; P = 0.432). Left side was associated with superior five‐year cancer‐specific survival (CSS) compared to right side NSCLC (HR 0.977, 95% CI 0.9574–0.9969; P = 0.024). No significant difference was observed in OS (P = 0.689) or CSS (P = 0.288) after PSM analysis. In the 51 319 patients who underwent surgery, left side (n = 21 245) was associated with poor OS compared to right side (n = 30 074) NSCLC (HR 1.039, 95% CI 1.011–1.067; P = 0.006), while CSS was similar (HR 1.031, 95% CI 0.997–1.065; P = 0.069). In patients who underwent surgery, there was also no significant difference in OS (P = 0.986) or CSS (P = 0.979) after PSM analysis. Conclusion The prognosis between right and left side NSCLC in stage I–IIIA was similar regardless of whether patients underwent surgery. Primary tumor side cannot be considered a prognostic factor when choosing appropriate treatment.
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Affiliation(s)
- Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xinmeng Qi
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University Key Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xinghui Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Zhi Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Youwu Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), The VIPII Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital and Institute, Beijing, China
| | - Feng Du
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), The VIPII Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jingjing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xiaoyu Zhai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
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Wang D, Niu X, Wang Z, Song CL, Huang Z, Chen KN, Duan J, Bai H, Xu J, Zhao J, Wang Y, Zhuo M, Xie XS, Kang X, Tian Y, Cai L, Han JF, An T, Sun Y, Gao S, Zhao J, Ying J, Wang L, He J, Wang J. Multiregion Sequencing Reveals the Genetic Heterogeneity and Evolutionary History of Osteosarcoma and Matched Pulmonary Metastases. Cancer Res 2018; 79:7-20. [PMID: 30389703 DOI: 10.1158/0008-5472.can-18-1086] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 07/27/2018] [Accepted: 10/26/2018] [Indexed: 11/16/2022]
Affiliation(s)
- Di Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Biodynamic Optical Imaging Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Xiaohui Niu
- Department of Orthopaedic Oncology Surgery, Beijing Ji Shui Tan Hospital, Peking University, Beijing, China
| | - Zhijie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | | | - Zhen Huang
- Department of Orthopaedic Oncology Surgery, Beijing Ji Shui Tan Hospital, Peking University, Beijing, China
| | - Ke-Neng Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), The First Department of Thoracic Surgery, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jianchun Duan
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Hua Bai
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jiachen Xu
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jun Zhao
- Department of Thoracic Medical Oncology, Beijing Cancer Hospital, Peking University, Beijing, China
| | - Yu Wang
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Minglei Zhuo
- Department of Thoracic Medical Oncology, Beijing Cancer Hospital, Peking University, Beijing, China
| | - X Sunney Xie
- Biodynamic Optical Imaging Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts
| | - Xiaozheng Kang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), The First Department of Thoracic Surgery, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yanhua Tian
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Liangliang Cai
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jie-Fei Han
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Tongtong An
- Department of Thoracic Medical Oncology, Beijing Cancer Hospital, Peking University, Beijing, China
| | - Yu Sun
- Department of Pathology, Beijing Cancer Hospital, Peking University, Beijing, China
| | - Shugeng Gao
- Department of Thoracic Surgical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jun Zhao
- Department of Thoracic Surgical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jianming Ying
- Department of Pathology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Luhua Wang
- Department of Radiotherapy, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jie He
- Department of Thoracic Surgical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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Zhuo M, Chen H, Zhang T, Yang X, Zhong J, Wang Y, An T, Wu M, Wang Z, Huang J, Zhao J. The potential predictive value of circulating immune cell ratio and tumor marker in atezolizumab treated advanced non-small cell lung cancer patients. Cancer Biomark 2018; 22:467-476. [PMID: 29758930 DOI: 10.3233/cbm-171089] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND The PD-L1 antibody atezolizumab has shown promising efficacy in patients with advanced non-small cell lung cancer. But the predictive marker of clinical benefit has not been identified. OBJECTIVE This study aimed to search for potential predictive factors in circulating blood of patients receiving atezolizumab. METHODS Ten patients diagnosed with advanced non-small cell lung cancer were enrolled in this open-label observing study. Circulating immune cells and plasma tumor markers were examined in peripheral blood from these patients before and after atezolizumab treatment respectively. Relation between changes in circulating factors and anti-tumor efficacy were analyzed. RESULTS Blood routine test showed that atezolizumab therapy induced slightly elevation of white blood cells count generally. The lymphocyte ratio was increased slightly in disease controlled patients but decreased prominently in disease progressed patients in response to atezolizumab therapy. Flow cytometric analysis revealed changes in percentage of various immune cell types, including CD4+ T cell, CD8+ T cell, myeloid-derived suppressor cell, regulatory T cell and PD-1 expressing T cell after atezolizumab. Levels of plasma tumor marker CEA, CA125 and CA199 were also altered after anti-PD-L1 therapy. In comparison with baseline, the disease progressed patients showed sharp increase in tumor marker levels, while those disease controlled patients were seen with decreased regulatory T cell and myeloid-derived suppressor cell ratios. CONCLUSIONS The circulating immune cell ratios and plasma tumor marker levels were related with clinical efficacy of atezolizumab therapy. These factors could be potential predictive marker for anti-PD-L1 therapy in advanced non-small cell lung cancer.
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Affiliation(s)
- Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China.,Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China.,Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China.,Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China.,Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China
| | - Tianzhuo Zhang
- Department of Immunology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China.,Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China.,Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China.,Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China.,Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China.,Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China.,Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Jing Huang
- Department of Immunology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Beijing, China.,Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China
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Lv C, Liu X, Zheng Q, Chen H, Yang X, Zhong J, Wang Y, Duan J, Wang Z, Bai H, Wu M, Zhao J, Wang J, Wang Z, An T, Zhuo M. Analysis of topoisomerase I expression and identification of predictive markers for efficacy of topotecan chemotherapy in small cell lung cancer. Thorac Cancer 2018; 9:1166-1173. [PMID: 30058109 PMCID: PMC6119620 DOI: 10.1111/1759-7714.12819] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Revised: 06/22/2018] [Accepted: 06/23/2018] [Indexed: 12/22/2022] Open
Abstract
Background We evaluated topoisomerase I (TOPO1) expression in patients with small cell lung cancer (SCLC) and identified predictive factors for the efficacy of second‐line topotecan chemotherapy. Methods We retrospectively evaluated the records of SCLC patients treated in our department from January 2007 to December 2016 who received second‐line topotecan chemotherapy. Patients with archived tumor samples were enrolled. TOPO1 expression levels were evaluated by immunohistochemistry, and the relationships between TOPO1 expression, clinical factors, chemotherapy efficacy, and survival were analyzed. Results Of the 78 patients enrolled, 67 showed TOPO1 expression (85.9%). Patients were divided into strong (n = 43) or weak (n = 35) expression groups based on staining intensity. Disease control rates for topotecan were 39.5% and 14.3% in the strong and weak groups, respectively (P = 0.014). Second‐line median progression‐free survival was 2.2 and 2.0 months (P = 0.057), and median overall survival was 8.1 and 6.0 months (P = 0.199) in the strong and weak positive groups, respectively. Patients were also divided into sensitive (n = 47) and refractory (n = 31) disease groups according to the duration from the onset of first‐line therapy to relapse. Median second‐line progression‐free survival was 2.2 and 1.8 months in the sensitive and refractory relapse groups, respectively (P = 0.005). Conclusions TOPO1 expression was prevalent in SCLC patients. Strong expression was associated with an elevated disease control rate after second‐line topotecan chemotherapy. Patients with sensitive disease that relapsed after first‐line chemotherapy had better survival than refractory patients who received second‐line topotecan chemotherapy.
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Affiliation(s)
- Chunxin Lv
- Geriatric Department, Minhang Hospital, Fudan University, Shanghai, China
| | - Xiuju Liu
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Jinan, China
| | - Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jianchun Duan
- Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhijie Wang
- Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hua Bai
- Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jie Wang
- Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
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Yang X, Zhuo M, Ye X, Bai H, Wang Z, Sun Y, Zhao J, An T, Duan J, Wu M, Wang J. Quantification of mutant alleles in circulating tumor DNA can predict survival in lung cancer. Oncotarget 2018; 7:20810-24. [PMID: 26989078 PMCID: PMC4991494 DOI: 10.18632/oncotarget.8021] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Accepted: 02/15/2016] [Indexed: 01/05/2023] Open
Abstract
Purpose We aimed to investigate the feasibility of droplet digital PCR (ddPCR) for the quantitative and dynamic detection of EGFR mutations and next generation sequencing (NGS) for screening EGFR-tyrosine kinase inhibitors (EGFR-TKIs) resistance-relevant mutations in circulating tumor DNA (ctDNA) from advanced lung adenocarcinoma (ADC) patients. Results Detection limit of EGFR mutation in ctDNA by ddPCR was 0.04%. Taking the EGFR mutation in tumor tissue as the golden standard, the concordance of EGFR mutations detected in ctDNA was 74% (54/73). Patients with EGFR mutation in ctDNA (n = 54) superior progression-free survival (PFS, median, 12.6 vs. 6.7 months, P < 0.001) and overall survival (OS, median, 35.6 vs. 23.8 months, P = 0.028) compared to those with EGFR wild type in ctDNA (n = 19). Patients with high EGFR-mutated abundance in ctDNA (> 5.15%) showed better PFS compared to those with low EGFR mutated abundance (≤ 5.15%) (PFS, median, 15.4 vs. 11.1 months, P = 0.021). NGS results showed that 66.6% (8/12) total mutational copy number were elevated and 76.5% (26/34) mutual mutation frequency increased after disease progression. Methods Seventy-three advanced ADC patients with tumor tissues carrying EGFR mutations and their matched pre- and post-EGFR-TKIs plasma samples were enrolled in this study. Absolute quantities of plasma EGFR mutant and wild-type alleles were measured by ddPCR. Multi-genes testing was performed using NGS in 12 patients. Conclusions Dynamic and quantitative analysis of EGFR mutation in ctDNA could guide personalized therapy for advanced ADC. NGS shows good performance in multiple genes testing especially novel and uncommon genes.
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Affiliation(s)
- Xue Yang
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Minglei Zhuo
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Xin Ye
- Asia and Emerging Markets Innovative Medicine of AstraZeneca R & D, Shanghai, China
| | - Hua Bai
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Zhijie Wang
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Yun Sun
- Asia and Emerging Markets Innovative Medicine of AstraZeneca R & D, Shanghai, China
| | - Jun Zhao
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Tongtong An
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Jianchun Duan
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Meina Wu
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Jie Wang
- Department of Thoracic Medical Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
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Zhong J, Zheng Q, Gao E, Dong Z, Zhao J, An T, Wu M, Zhuo M, Wang Y, Li J, Wang S, Yang X, Chen H, Jia B, Wang J, Wang Z. Influence of body mass index on the therapeutic efficacy of gemcitabine plus cisplatin and overall survival in lung squamous cell carcinoma. Thorac Cancer 2018; 9:291-297. [PMID: 29318765 PMCID: PMC5792736 DOI: 10.1111/1759-7714.12581] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 11/26/2017] [Accepted: 11/26/2017] [Indexed: 12/30/2022] Open
Abstract
Background Gemcitabine plus cisplatin (GP) is commonly used to treat lung squamous cell carcinoma (SCC); however, it is not clear which subgroup of lung SCC patients could benefit most from GP treatment. We explored the predictive factors in lung SCC patient cohorts. Methods Seventy‐eight lung SCC patients treated with a first‐line GP regimen were enrolled in this retrospective cohort study. Progression‐free survival (PFS) and overall survival (OS) were estimated using the Kaplan–Meier method. Classification tree models were used to explore the risk factors for PFS and OS in these patients. Results The median PFS and OS in SCC patients treated with a GP regimen were 6.0 and 13.6 months, respectively. Three terminal subgroups were formed for both PFS and OS. The subgroup with a body mass index (BMI) > 23.94 kg/m2 and aged ≤ 54.5 had the longest PFS (9.0 months); the subgroup with a BMI < 23.94 kg/m2 and aged ≤ 54.5 had the shortest PFS (4.05 months). Patients with an objective response (partial or complete response) to treatment had the longest OS (20.0 months), while patients with a BMI ≤ 26.92 kg/m2 and stable or progressive disease as the best response had the shortest OS (11.2 months). Conclusions BMI and age may be predictors of PFS in lung SCC patients who receive GP treatment. BMI and best response to GP treatment predicts OS in such patients. Patients’ clinical pathological characteristics may be used to predict the therapeutic efficacy of chemotherapy and survival.
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Affiliation(s)
- Jia Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Emei Gao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Zhi Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Meina Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Shuhang Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Hanxiao Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jingjing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Medical Oncology-I, Peking University Cancer Hospital and Institute, Beijing, China
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