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Xiao X, Yu Q, Han B, Fu M, Chen M. Predictive role of peripheral blood indicators in the prognosis of patients with cutaneous squamous cell carcinoma treated with immune checkpoint inhibitors. Am J Cancer Res 2025; 15:1705-1718. [PMID: 40371131 PMCID: PMC12070112 DOI: 10.62347/kzoq9722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Accepted: 03/25/2025] [Indexed: 05/16/2025] Open
Abstract
This study aimed to explore the predictive role of peripheral blood indicators in the prognosis of cutaneous squamous cell carcinoma (cSCC) patients treated with immune checkpoint inhibitors (ICIs). Clinical data of 139 cSCC patients receiving ICIs treatment were retrospectively collected. Peripheral blood indicators, including blood cell counts, neutrophil-to-lymphocyte ratio (NLR), liver and kidney function markers, and inflammation markers, were examined. A binary logistic regression model was used to identify risk factors for non-response to ICIs, and a predictive model was constructed. Additionally, multiple linear regression and Pearson correlation analysis were employed to assess relevant influences and relationships. Results showed that immunotherapy timing, lymphocyte count, NLR, and C-reactive protein (CRP) were influencing factors for non-response to ICIs (all P<0.05). The area under the curve (AUC) for these indicators in predicting non-response risk was 0.651 (95% CI: 0.529-0.773), 0.671 (95% CI: 0.542-0.801), 0.775 (95% CI: 0.682-0.868), and 0.717 (95% CI: 0.573-0.861), respectively. The combined AUC of these four factors was 0.878 (95% CI: 0.790-0.966), with sensitivity and specificity of 76.0% and 93.0%, respectively. After internal verification, the constructed model exhibited predicted sensitivity and specificity of 80.00% and 94.29% respectively. Multiple linear regression analysis indicated that these four factors were independent predictors of progression-free survival (PFS) in cSCC patients. Immunotherapy timing, NLR, and CRP were negatively correlated with PFS (r = -0.235, -0.330, -0.494), while lymphocyte count was positively correlated with PFS (r = 0.326). In conclusion, peripheral blood indicators are valuable for predicting the response to ICIs in cSCC and can influence patients' PFS.
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Affiliation(s)
- Xiaoyue Xiao
- Hospital of Chengdu University of Traditional Chinese MedicineChengdu 610075, Sichuan, China
- Chengdu University of Traditional Chinese MedicineChengdu 610075, Sichuan, China
| | - Qianying Yu
- Hospital of Chengdu University of Traditional Chinese MedicineChengdu 610075, Sichuan, China
- Chengdu University of Traditional Chinese MedicineChengdu 610075, Sichuan, China
| | - Bingying Han
- Chengdu University of Traditional Chinese MedicineChengdu 610075, Sichuan, China
| | - Min Fu
- Chengdu University of Traditional Chinese MedicineChengdu 610075, Sichuan, China
| | - Mingling Chen
- Hospital of Chengdu University of Traditional Chinese MedicineChengdu 610075, Sichuan, China
- Chengdu University of Traditional Chinese MedicineChengdu 610075, Sichuan, China
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Ishiguro S, Devader S, Blake C, Glover L, Upreti D, Nakashima A, Suzuki K, Comer J, Tamura M. A combination treatment with a water extract from Euglena gracilis and anti-PD-1 antibody strongly inhibits growth of lung cancer in mice through stimulating tumor-infiltrating lymphocytes. Int Immunopharmacol 2025; 147:113953. [PMID: 39809104 DOI: 10.1016/j.intimp.2024.113953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 12/22/2024] [Accepted: 12/24/2024] [Indexed: 01/16/2025]
Abstract
Here, we investigated the relationship between the attenuation of lung cancer growth due to oral administration of Euglena gracilis water extract (EWE) and T cell stimulation. Orally administered EWE was revealed to increase PD-1 and PD-L1 mRNA and proteins primarily in tumor-infiltrating lymphocytes (TILs), which was correlated with a significant decrease in the tumor weights in mice. A combination treatment with EWE and anti-PD-1 antibody significantly decreased the growth of murine lung tumors more than treatment with either alone by increasing the number of TILs and attenuating T cell exhaustion. Short-chain fatty acids, which were previously shown to be increased in intestines of mice treated with oral EWE, increased both PD-1 and PD-L1 expression in splenocytes, but not in lung cancer cells in cell culture. These results suggest there is a close relationship between the EWE-induced increase of short-chain fatty acids, the increase of PD-1 expression in TILs, and the attenuation of lung tumor growth. Furthermore, EWE enhances the efficacy of anti-PD-1 antibody-based immune checkpoint blockade therapy against non-small cell lung cancer.
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Affiliation(s)
- Susumu Ishiguro
- Department of Anatomy & Physiology, Kansas State University College of Veterinary Medicine, Manhattan, KS 66506, USA
| | - Sarah Devader
- Department of Anatomy & Physiology, Kansas State University College of Veterinary Medicine, Manhattan, KS 66506, USA
| | - Caden Blake
- Department of Anatomy & Physiology, Kansas State University College of Veterinary Medicine, Manhattan, KS 66506, USA
| | - Logan Glover
- Department of Anatomy & Physiology, Kansas State University College of Veterinary Medicine, Manhattan, KS 66506, USA
| | - Deepa Upreti
- Department of Anatomy & Physiology, Kansas State University College of Veterinary Medicine, Manhattan, KS 66506, USA
| | | | - Kengo Suzuki
- Euglena Co. Ltd., Minato-ku, Tokyo 108-0014, Japan
| | - Jeffrey Comer
- Department of Anatomy & Physiology, Kansas State University College of Veterinary Medicine, Manhattan, KS 66506, USA
| | - Masaaki Tamura
- Department of Anatomy & Physiology, Kansas State University College of Veterinary Medicine, Manhattan, KS 66506, USA.
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Huo Y, Wang D, Yang S, Xu Y, Qin G, Zhao C, Lei Q, Zhao Q, Liu Y, Guo K, Ouyang S, Sun T, Wang H, Fan F, Han N, Liu H, Chen H, Miao L, Liu L, Duan Y, Lv W, Liu L, Zhang Z, Cang S, Wang L, Zhang Y. Optimal timing of anti-PD-1 antibody combined with chemotherapy administration in patients with NSCLC. J Immunother Cancer 2024; 12:e009627. [PMID: 39706602 PMCID: PMC11667274 DOI: 10.1136/jitc-2024-009627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 11/17/2024] [Indexed: 12/23/2024] Open
Abstract
BACKGROUND Anti-programmed cell death 1 (PD-1) antibody combined with chemotherapy simultaneously is regarded as the standard treatment for patients with advanced non-small cell lung cancer (NSCLC) by current clinical guidelines. Different immune statuses induced by chemotherapy considerably affect the synergistic effects of the chemo-anti-PD-1 combination. Therefore, it is necessary to determine the optimal timing of combination treatment administration. METHODS The dynamic immune status induced by chemotherapy was observed in paired peripheral blood samples of patients with NSCLC using flow cytometry and RNA sequencing. Ex vivo studies and metastatic lung carcinoma mouse models were used to evaluate immune activity and explore the optimal combination timing. A multicenter prospective clinical study of 170 patients with advanced NSCLC was performed to assess clinical responses, and systemic immunity was assessed using omics approaches. RESULTS PD-1 expression on CD8+ T cells was downregulated on day 1 (D1) and D2, but recovered on D3 after chemotherapy administration, which is regulated by the calcium influx-P65 signaling pathway. Programmed cell death 1 ligand 1 expression in myeloid-derived suppressor cells was markedly reduced on D3. RNA sequencing analysis showed that T-cell function began to gradually recover on D3 rather than on D1. In addition, ex vivo and in vivo studies have shown that anti-PD-1 treatment on D3 after chemotherapy may enhance the antitumor response and considerably inhibit tumor growth. Finally, in clinical practice, a 3-day-delay sequential combination enhanced the objective response rate (ORR, 68%) and disease control rate (DCR, 98%) compared with the simultaneous combination (ORR=37%; DCR=81%), and prolonged progression-free survival to a greater extent than the simultaneous combination. The new T-cell receptor clones were effectively expanded, and CD8+ T-cell activity was similarly recovered. CONCLUSIONS A 3-day-delay sequential combination might increase antitumor responses and clinical benefits compared with the simultaneous combination.
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Affiliation(s)
- Yachang Huo
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Dan Wang
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shuangning Yang
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Department of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yujie Xu
- Department of Oncology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Guohui Qin
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Chenhui Zhao
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qingyang Lei
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qitai Zhao
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yaqing Liu
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Kaiyuan Guo
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Songyun Ouyang
- Department of Respiratory and Critical Care Sleep Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ting Sun
- Department of Respiratory and Critical Care Sleep Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Hongmin Wang
- Department of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Feifei Fan
- Department of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Na Han
- Department of Oncology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Hong Liu
- Department of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Hongjie Chen
- Department of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lijun Miao
- Department of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Li Liu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuqing Duan
- Department of Tumor Immunotherapy, the Fourth Hospital of Hebei Medical University and Hebei Cancer Institute, Shijiazhuang, Hebei, China
| | - Wei Lv
- Department of Tumor Immunotherapy, the Fourth Hospital of Hebei Medical University and Hebei Cancer Institute, Shijiazhuang, Hebei, China
| | - Lihua Liu
- Department of Tumor Immunotherapy, the Fourth Hospital of Hebei Medical University and Hebei Cancer Institute, Shijiazhuang, Hebei, China
| | - Zhixin Zhang
- Department of Technology, Chengdu ExAb Biotechnology Ltd, Chengdu, Sichuan, China
| | - Shundong Cang
- Department of Oncology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Liping Wang
- Department of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yi Zhang
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou, Henan, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
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Chen MC, Yang HS, Dong Z, Li LJ, Li XM, Luo HH, Li Q, Zhu Y. Immunogenomic features of radiologically distinctive nodules in multiple primary lung cancer. Cancer Immunol Immunother 2024; 73:217. [PMID: 39235522 PMCID: PMC11377372 DOI: 10.1007/s00262-024-03807-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Accepted: 08/10/2024] [Indexed: 09/06/2024]
Abstract
OBJECTIVES To provide molecular and immunological attributes mechanistic insights for the management of radiologically distinctive multiple primary lung cancer (MPLC). METHODS The Bulk RNA-seq data of MPLC were obtained from our center. The Bulk RNA-seq data and CT images of patients with single primary lung cancer (SPLC) were obtained from GSE103584. Immune infiltration algorithms were performed to investigate the disparities in the immunological microenvironment between the two groups. Single-cell gene analysis was used to explore immune cells composition and communication relationships between cells in MPLC. RESULTS In MPLC, 11 pure ground-glass opacity nodules (pGGN) and 10 mixed GGN (mGGN) were identified, while in SPLC, the numbers were 18 pGGN and 22 mGGN, respectively. In MPLC, compared to pGGN, mGGN demonstrated a significantly elevated infiltration of CD8+ T cells. Single-cell gene analysis demonstrated that CD8+ T cells play a central role in the signaling among immune cells in MPLC. The transcription factors including MAFG, RUNX3, and TBX21 may play pivotal roles in regulation of CD8+ T cells. Notably, compared to SPLC nodules for both mGGN and pGGN, MPLC nodules demonstrated a significantly elevated degree of tumor-infiltrating immune cells, with this difference being particularly pronounced in mGGN. There was a positive correlation between the proportion of immune cells and consolidation/tumor ratio (CTR). CONCLUSIONS Our findings provided a comprehensive description about the difference in the immune microenvironment between pGGN and mGGN in early-stage MPLC, as well as between MPLC and SPLC for both mGGN and pGGN. The findings may provide evidence for the design of immunotherapeutic strategies for MPLC.
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Affiliation(s)
- Mei-Cheng Chen
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China
| | - Hao-Shuai Yang
- Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Zhi Dong
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China
| | - Lu-Jie Li
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China
| | - Xiang-Min Li
- Department of Radiology, Hui Ya Hospital of The First Affiliated Hospital, Sun Yat-Sen University, Huizhou, 516080, Guangdong, People's Republic of China
| | - Hong-He Luo
- Department of Thoracic Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China
| | - Qiong Li
- Department of Radiology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center/Cancer Hospital, Guangzhou, 510080, Province Guangdong, People's Republic of China.
| | - Ying Zhu
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China.
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Zhuang W, Wang M, Jiang L, Su Z, Lin S. The peripheral CD4 + T cells predict efficacy in non-small cell lung cancer (NSCLC) patients with the anti-PD-1 treatment. Transl Cancer Res 2024; 13:4052-4061. [PMID: 39262495 PMCID: PMC11385798 DOI: 10.21037/tcr-24-405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 07/10/2024] [Indexed: 09/13/2024]
Abstract
Background Programmed cell death protein 1 (PD-1) inhibitor therapy has become a routine treatment for advanced non-small cell lung cancer (NSCLC). However, only some NSCLC patients would benefit from anti-PD-1 therapy. We urgently need to identify biomarkers associated with clinical response to change treatment strategies promptly for patients who fail to benefit from anti-PD-1 treatment. This study was aimed to explore whether circulating CD4+ T cells and CD8+ T cells could be biomarkers for predicting anti-PD-1 efficacy. Methods In this study, 118 NSCLC patients who received anti-PD-1 therapy were enrolled. The percentages of circulating CD4+ T cells and CD8+ T cells before and after anti-PD-1 treatment were determined by flow cytometry. The programmed cell death ligand 1 (PD-L1) expression of tumor tissues was detected by immunocytochemistry. The anti-PD-1 treatment efficacy was assessed by immune response evaluation criteria in solid tumors (iRECIST). Results The percentage of CD4+ T cells and CD4+/CD8+ ratio in the peripheral blood (PB) was significantly elevated after anti-PD-1 treatment. In contrast, the percentage of CD8+ T cells in the PB was significantly decreased after anti-PD-1 treatment. Furthermore, we found that the percentages of CD4+ T cells and CD4+/CD8+ ratios considerably increased, and the percentages of CD8+ T cells significantly reduced in the effective group. On the contrary, the patients in the ineffective group showed no significant differences in the biomarkers. Multivariate logistic revealed that the percentage of CD4+ T cells at baseline was an independent predictor of anti-PD-1 treatment. The area under the curve (AUC) of the CD4+ T cells percentage was 0.7834 with a cut-off value of 28.53% (sensitivity =82.5%, specificity =66.23%). Conclusions The percentage of CD4+ T cells at baseline could predict anti-PD-1 efficacy in NSCLC patients.
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Affiliation(s)
- Weixia Zhuang
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Moufeng Wang
- Department of Oncology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Li Jiang
- Clinical Laboratory, National Regional Medical Center, Binhai Campus of The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Zudong Su
- Department of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Shenglu Lin
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China
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Zhou J, Li Q, Deng X, Peng L, Sun J, Zhang Y, Du Y. Comprehensive analysis identifies ubiquitin ligase FBXO42 as a tumor-promoting factor in neuroblastoma. Sci Rep 2024; 14:18697. [PMID: 39134694 PMCID: PMC11319589 DOI: 10.1038/s41598-024-69760-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 08/08/2024] [Indexed: 08/15/2024] Open
Abstract
Neuroblastoma, the deadliest solid tumor in children, exhibits alarming mortality rates, particularly among high-risk cases. To enhance survival rates, a more precise risk stratification for patients is imperative. Utilizing proteomic data from 34 cases with or without N-Myc amplification, we identified 28 differentially expressed ubiquitination-related proteins (URGs). From these, a prognostic signature comprising 6 URGs was constructed. A nomogram incorporating clinical-pathological parameters yielded impressive AUC values of 0.88, 0.93, and 0.95 at 1, 3, and 5 years, respectively. Functional experiments targeting the E3 ubiquitin ligase FBXO42, a component of the prognostic signature, revealed its TP53-dependent promotion of neuroblastoma cell proliferation. In conclusion, our ubiquitination-related prognostic model robustly predicts patient outcomes, guiding clinical decisions. Additionally, the newfound pro-proliferative role of FBXO42 offers a novel foundation for understanding the molecular mechanisms of neuroblastoma.
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Affiliation(s)
- Jianwu Zhou
- Department of Pediatric Surgical Oncology, Children's Hospital of Chongqing Medical University; and the National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China
| | - Qijun Li
- Laboratory Animal Center, Chongqing Medical University, Chongqing, 400016, People's Republic of China
| | - Xiaobin Deng
- Department of Pediatric Surgical Oncology, Children's Hospital of Chongqing Medical University; and the National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China
| | - Liang Peng
- Department of Pediatric Surgical Oncology, Children's Hospital of Chongqing Medical University; and the National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China
| | - Jian Sun
- Department of Pediatric Surgical Oncology, Children's Hospital of Chongqing Medical University; and the National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China
| | - Yao Zhang
- Department of Pediatric Surgical Oncology, Children's Hospital of Chongqing Medical University; and the National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China
| | - Yifei Du
- Department of Pediatric Surgical Oncology, Children's Hospital of Chongqing Medical University; and the National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China.
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7
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Gao Y, Wang Y, Luo Y, Zhang Y, Wang S, Tang X, Qin P, Xu B, Gao Q, Li T. Pretreatment CD8 + PD-1 + to CD4 + PD-1 + ratio is associated with the prognosis of advanced melanoma patients treated with PD-1 inhibitors. Melanoma Res 2024; 34:376-381. [PMID: 38647119 DOI: 10.1097/cmr.0000000000000972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
The aim of this study was to determine whether the pretreatment CD8 + PD-1 + to CD4 + PD-1 + (PERLS) ratio is an independent risk prognostic factor of advanced melanoma patients. We retrospectively analyzed the efficacy and flow cytometry data from advanced melanoma patients who received PD-1 inhibitor as monotherapy between January 1, 2018 and January 26, 2022. Fifty-nine patients were enrolled, the PERLS cutoff was 1.125. PERLS did not correlate with clinical characteristics but were significantly associated with baseline CD8 + , CD4 + , and CD8 + PD-1 + T cells. The mean overall survival and the progression-free survival were 45.8 and 17.1 months for the low PERLS group (n = 39), compared with 29.9 ( P = 0.001) and 9.7 ( P = 0.003) months for the high PERLS group ( n = 20), respectively. Pretreatment PERLS might contribute to selecting patients before receiving anti-PD-1 therapy.
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Affiliation(s)
- Yao Gao
- Department of Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou
| | - Yao Wang
- Department of Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou
| | - Yueyue Luo
- Department of Emergency, Zhoukou Centra Hospital, Zhoukou, China
| | - Yong Zhang
- Department of Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou
| | - Saiqi Wang
- Department of Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou
| | - Xiance Tang
- Department of Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou
| | - Peng Qin
- Department of Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou
| | - Benling Xu
- Department of Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou
| | - Quanli Gao
- Department of Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou
| | - Tiepeng Li
- Department of Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou
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Dalle S, Verronese E, N’Kodia A, Bardin C, Rodriguez C, Andrieu T, Eberhardt A, Chemin G, Hasan U, Le-Bouar M, Caramel J, Amini-Adle M, Bendriss-Vermare N, Dubois B, Caux C, Ménétrier-Caux C. Modulation of blood T cell polyfunctionality and HVEM/BTLA expression are critical determinants of clinical outcome in anti-PD1-treated metastatic melanoma patients. Oncoimmunology 2024; 13:2372118. [PMID: 38939518 PMCID: PMC11210932 DOI: 10.1080/2162402x.2024.2372118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 06/20/2024] [Indexed: 06/29/2024] Open
Abstract
The need for reliable biomarkers to predict clinical benefit from anti-PD1 treatment in metastatic melanoma (MM) patients remains unmet. Several parameters have been considered in the tumor environment or the blood, but none has yet achieved sufficient accuracy for routine clinical practice. Whole blood samples from MM patients receiving second-line anti-PD1 treatment (NCT02626065), collected longitudinally, were analyzed by flow cytometry to assess the immune cell subsets absolute numbers, the expression of immune checkpoints or ligands on T cells and the functionality of innate immune cells and T cells. Clinical response was assessed according to Progression-Free Survival (PFS) status at one-year following initiation of anti-PD1 (responders: PFS > 1 year; non-responders: PFS ≤ 1 year). At baseline, several phenotypic and functional alterations in blood immune cells were observed in MM patients compared to healthy donors, but only the proportion of polyfunctional memory CD4+ T cells was associated with response to anti-PD1. Under treatment, a decreased frequency of HVEM on CD4+ and CD8+ T cells after 3 months of treatment identified responding patients, whereas its receptor BTLA was not modulated. Both reduced proportion of CD69-expressing CD4+ and CD8+ T cells and increased number of polyfunctional blood memory T cells after 3 months of treatment were associated with response to anti-PD1. Of upmost importance, the combination of changes of all these markers accurately discriminated between responding and non-responding patients. These results suggest that drugs targeting HVEM/BTLA pathway may be of interest to improve anti-PD1 efficacy.
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Affiliation(s)
- Stéphane Dalle
- Department of Dermatology, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon 1 University, Lyon, France
- Cancer Research Center of Lyon, INSERM 1052 - CNRS 5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - Estelle Verronese
- Lyon Immunotherapy for Cancer Laboratory (LICL), Centre Léon Bérard, Lyon, France
| | - Axelle N’Kodia
- Lyon Immunotherapy for Cancer Laboratory (LICL), Centre Léon Bérard, Lyon, France
| | - Christine Bardin
- Lyon Immunotherapy for Cancer Laboratory (LICL), Centre Léon Bérard, Lyon, France
| | - Céline Rodriguez
- Cancer Research Center of Lyon, INSERM 1052 - CNRS 5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
- Lyon Immunotherapy for Cancer Laboratory (LICL), Centre Léon Bérard, Lyon, France
| | - Thibault Andrieu
- Cancer Research Center of Lyon, INSERM 1052 - CNRS 5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
- Lyon Immunotherapy for Cancer Laboratory (LICL), Centre Léon Bérard, Lyon, France
| | - Anais Eberhardt
- Department of Dermatology, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon 1 University, Lyon, France
- Cancer Research Center of Lyon, INSERM 1052 - CNRS 5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - Gabriel Chemin
- Cancer Research Center of Lyon, INSERM 1052 - CNRS 5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - Uzma Hasan
- Lyon Immunotherapy for Cancer Laboratory (LICL), Centre Léon Bérard, Lyon, France
| | - Myrtille Le-Bouar
- Department of Dermatology, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon 1 University, Lyon, France
| | - Julie Caramel
- Cancer Research Center of Lyon, INSERM 1052 - CNRS 5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - Mona Amini-Adle
- Department of Dermatology, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon 1 University, Lyon, France
| | - Nathalie Bendriss-Vermare
- Cancer Research Center of Lyon, INSERM 1052 - CNRS 5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
- Lyon Immunotherapy for Cancer Laboratory (LICL), Centre Léon Bérard, Lyon, France
| | - Bertrand Dubois
- Cancer Research Center of Lyon, INSERM 1052 - CNRS 5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
- Lyon Immunotherapy for Cancer Laboratory (LICL), Centre Léon Bérard, Lyon, France
| | - Christophe Caux
- Cancer Research Center of Lyon, INSERM 1052 - CNRS 5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
- Lyon Immunotherapy for Cancer Laboratory (LICL), Centre Léon Bérard, Lyon, France
| | - Christine Ménétrier-Caux
- Cancer Research Center of Lyon, INSERM 1052 - CNRS 5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
- Lyon Immunotherapy for Cancer Laboratory (LICL), Centre Léon Bérard, Lyon, France
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9
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Cheng B, Li C, Li J, Gong L, Liang P, Chen Y, Zhan S, Xiong S, Zhong R, Liang H, Feng Y, Wang R, Wang H, Zheng H, Liu J, Zhou C, Shao W, Qiu Y, Sun J, Xie Z, Liang Z, Yang C, Cai X, Su C, Wang W, He J, Liang W. The activity and immune dynamics of PD-1 inhibition on high-risk pulmonary ground glass opacity lesions: insights from a single-arm, phase II trial. Signal Transduct Target Ther 2024; 9:93. [PMID: 38637495 PMCID: PMC11026465 DOI: 10.1038/s41392-024-01799-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 02/26/2024] [Accepted: 03/10/2024] [Indexed: 04/20/2024] Open
Abstract
Immune checkpoint inhibitors targeting the programmed cell death-1 (PD-1) protein significantly improve survival in patients with advanced non-small-cell lung cancer (NSCLC), but its impact on early-stage ground-glass opacity (GGO) lesions remains unclear. This is a single-arm, phase II trial (NCT04026841) using Simon's optimal two-stage design, of which 4 doses of sintilimab (200 mg per 3 weeks) were administrated in 36 enrolled multiple primary lung cancer (MPLC) patients with persistent high-risk (Lung-RADS category 4 or had progressed within 6 months) GGOs. The primary endpoint was objective response rate (ORR). T/B/NK-cell subpopulations, TCR-seq, cytokines, exosomal RNA, and multiplexed immunohistochemistry (mIHC) were monitored and compared between responders and non-responders. Finally, two intent-to-treat (ITT) lesions (pure-GGO or GGO-predominant) showed responses (ORR: 5.6%, 2/36), and no patients had progressive disease (PD). No grade 3-5 TRAEs occurred. The total response rate considering two ITT lesions and three non-intent-to-treat (NITT) lesions (pure-solid or solid-predominant) was 13.9% (5/36). The proportion of CD8+ T cells, the ratio of CD8+/CD4+, and the TCR clonality value were significantly higher in the peripheral blood of responders before treatment and decreased over time. Correspondingly, the mIHC analysis showed more CD8+ T cells infiltrated in responders. Besides, responders' cytokine concentrations of EGF and CTLA-4 increased during treatment. The exosomal expression of fatty acid metabolism and oxidative phosphorylation gene signatures were down-regulated among responders. Collectively, PD-1 inhibitor showed certain activity on high-risk pulmonary GGO lesions without safety concerns. Such effects were associated with specific T-cell re-distribution, EGF/CTLA-4 cytokine compensation, and regulation of metabolism pathways.
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Affiliation(s)
- Bo Cheng
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Caichen Li
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jianfu Li
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Longlong Gong
- Medical Department, Genecast Biotechnology Co., Ltd, Wuxi, China
| | - Peng Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Ying Chen
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Shuting Zhan
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Shan Xiong
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Ran Zhong
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Hengrui Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Yi Feng
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Runchen Wang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Haixuan Wang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Hongbo Zheng
- Medical Department, Genecast Biotechnology Co., Ltd, Wuxi, China
| | - Jun Liu
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Chengzhi Zhou
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Wenlong Shao
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Yuan Qiu
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jiancong Sun
- Department of Radiation Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- Department of Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Zhu Liang
- Department of Cardiothoracic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Chenglin Yang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Xiuyu Cai
- Department of VIP Inpatient, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou, China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Wei Wang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jianxing He
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
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10
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Hou J, Yang X, Xie S, Zhu B, Zha H. Circulating T cells: a promising biomarker of anti-PD-(L)1 therapy. Front Immunol 2024; 15:1371559. [PMID: 38576625 PMCID: PMC10991692 DOI: 10.3389/fimmu.2024.1371559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 03/07/2024] [Indexed: 04/06/2024] Open
Abstract
Anti-PD-(L)1 therapy has shown great efficacy in some patients with cancer. However, a significant proportion of patients with cancer do not respond to it. Another unmet clinical need for anti-PD-(L)1 therapy is the dynamic monitoring of treatment effects. Therefore, identifying biomarkers that can stratify potential responders before PD-(L)1 treatment and timely monitoring of the efficacy of PD-(L)1 treatment are crucial in the clinical setting. The identification of biomarkers by liquid biopsy has attracted considerable attention. Among the identified biomarkers, circulating T cells are one of the most promising because of their indispensable contribution to anti-PD-(L)1 therapy. The present review aimed to thoroughly explore the potential of circulating T cells as biomarkers of anti-PD-(L)1 therapy and its advantages and limitations.
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Affiliation(s)
- Junlei Hou
- Institute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital, Third Military Medical University, Chongqing, China
| | - Xuezhi Yang
- Institute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital, Third Military Medical University, Chongqing, China
| | - Shuanglong Xie
- Institute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital, Third Military Medical University, Chongqing, China
| | - Bo Zhu
- Institute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital, Third Military Medical University, Chongqing, China
| | - Haoran Zha
- Department of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, China
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11
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Tsai YT, Schlom J, Donahue RN. Blood-based biomarkers in patients with non-small cell lung cancer treated with immune checkpoint blockade. J Exp Clin Cancer Res 2024; 43:82. [PMID: 38493133 PMCID: PMC10944611 DOI: 10.1186/s13046-024-02969-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 01/30/2024] [Indexed: 03/18/2024] Open
Abstract
The paradigm of non-small cell lung cancer (NSCLC) treatment has been profoundly influenced by the development of immune checkpoint inhibitors (ICI), but the range of clinical responses observed among patients poses significant challenges. To date, analyses of tumor biopsies are the only parameter used to guide prognosis to ICI therapy. Tumor biopsies, however, are often difficult to obtain and tissue-based biomarkers are limited by intratumoral heterogeneity and temporal variability. In response, there has been a growing emphasis on the development of "liquid biopsy"‒ derived biomarkers, which offer a minimally invasive means to dynamically monitor the immune status of NSCLC patients either before and/or during the course of treatment. Here we review studies in which multiple blood-based biomarkers encompassing circulating soluble analytes, immune cell subsets, circulating tumor DNA, blood-based tumor mutational burden, and circulating tumor cells have shown promising associations with the clinical response of NSCLC patients to ICI therapy. These investigations have unveiled compelling correlations between the peripheral immune status of patients both before and during ICI therapy and patient outcomes, which include response rates, progression-free survival, and overall survival. There is need for rigorous validation and standardization of these blood-based assays for broader clinical application. Integration of multiple blood-based biomarkers into comprehensive panels or algorithms also has the potential to enhance predictive accuracy. Further research aimed at longitudinal monitoring of circulating biomarkers is also crucial to comprehend immune dynamics and resistance mechanisms and should be used alongside tissue-based methods that interrogate the tumor microenvironment to guide treatment decisions and may inform on the development of novel therapeutic strategies. The data reviewed here reinforce the opportunity to refine patient stratification, optimize treatments, and improve outcomes not only in NSCLC but also in the wider spectrum of solid tumors undergoing immunotherapy.
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Affiliation(s)
- Yo-Ting Tsai
- Center for Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jeffrey Schlom
- Center for Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Renee N Donahue
- Center for Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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12
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Wang H, Huang H, Liu T, Chen Y, Li J, He M, Peng J, Liang E, Li J, Liu W. Peripheral blood lymphocyte subsets predict the efficacy of TACE with or without PD-1 inhibitors in patients with hepatocellular carcinoma: a prospective clinical study. Front Immunol 2024; 15:1325330. [PMID: 38404585 PMCID: PMC10884244 DOI: 10.3389/fimmu.2024.1325330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 01/29/2024] [Indexed: 02/27/2024] Open
Abstract
Background Although peripheral blood lymphocyte subsets, particularly PD-1+ T cells, are promising prognostic indicators for patients with cancer. However, their clinical significance remains unclear. Methods We prospectively enrolled 157 patients with hepatocellular carcinoma (HCC) treated with transcatheter arterial chemoembolization combined with or without PD-1 inhibitors. Twenty peripheral lymphocyte subsets and cytokines were analyzed. We analyzed the differences in PD-1+ T cells between patients treated with and without PD-1 inhibitors and their associations with tumor response, survival prognosis, and clinical features. Results We found that the baseline CD8+PD-1+ and CD4+PD-1+ T-cell frequencies in patients who had received PD-1 inhibitors were lower than those in patients who had not received PD-1 inhibitors (p < 0.001). In the former patients, there were no differences in PD-1+ T-cell frequencies between the responder and non-responder subgroups (p > 0.05), whereas in the latter patients, the levels of CD8+PD-1+ T cells, CD4+PD-1+ T cells, and CD8+PD-1+/CD4+PD-1+ ratio did not predict tumor response, progression-free survival (PFS), or overall survival (OS) (p>0.05). Furthermore, in multivariate analysis of patients treated with or without PD-1 inhibitors revealed that the levels of CD8+CD38+ T cells (OR = 2.806, p = 0.006) were associated with tumor response, whereas those of CD8+CD28+ T cells (p = 0.038, p = 0.001) and natural killer (NK) cells (p = 0.001, p = 0.027) were associated with PFS and OS. Although, these independent prognostic factors were associated with progressive tumor characteristics (p<0.05), with the exception of CD8+CD28+ T cells, changes in these factors before and after treatment were unassociated with tumor response (p > 0.05). Conclusion Circulating CD8+CD38+ T cells, CD8+CD28+ T cells, and NK cells were identified as potential prognostic factors for tumor response and survival in patients with HCC. Contrastingly, although PD-1 inhibitors can effectively block the T cell PD-1 receptor, the baseline PD-1+ T-cell frequencies and changes in the frequency of these cells have limited prognostic value.
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Affiliation(s)
- Hongyu Wang
- Department of Interventional Therapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Guangdong Provincial Key laboratory of Chinese Medicine for Prevention and Treatment of Refractory Chronic Diseases, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Huijie Huang
- Department of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Ting Liu
- Department of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yaoming Chen
- Department of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jinwei Li
- Department of Interventional Therapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Min He
- Department of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jianxin Peng
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Enyu Liang
- Department of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jiaping Li
- Department of Interventional Oncology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Wendao Liu
- Department of Interventional Therapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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13
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Wang H, Liu H, Tang X, Chen J, Ren Z. Editorial: The role of tumor microenvironment in the development, treatment and prognosis of hepatocellular carcinoma. Front Pharmacol 2024; 14:1343175. [PMID: 38239197 PMCID: PMC10794772 DOI: 10.3389/fphar.2023.1343175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 12/14/2023] [Indexed: 01/22/2024] Open
Affiliation(s)
- Haiyu Wang
- School of Medicine, Sias University, Xinzheng, Zhengzhou, China
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Liu
- The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Xuming Tang
- Department of Surgery, Weill Cornell Medicine, Cornell University, New York, NY, United States
| | - Jiang Chen
- Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Zhigang Ren
- School of Medicine, Sias University, Xinzheng, Zhengzhou, China
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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14
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Liu J, Liu D, Hu G, Wang J, Chen D, Song C, Cai Y, Zhai C, Xu W. Circulating memory PD-1 +CD8 + T cells and PD-1 +CD8 +T/PD-1 +CD4 +T cell ratio predict response and outcome to immunotherapy in advanced gastric cancer patients. Cancer Cell Int 2023; 23:274. [PMID: 37974194 PMCID: PMC10655311 DOI: 10.1186/s12935-023-03137-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/10/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Limited benefit population of immunotherapy makes it urgent to select effective biomarkers for screening appropriate treatment population. Herein, we have investigated the predictive values of circulating CD8+ T cells and CD8+T/CD4+T cell ratio in advanced gastric cancer patients receiving immunotherapy. METHODS A retrospective cohort analysis of 187 advanced gastric cancer patients receiving sintilimab combined with oxaliplatin and capecitabine therapy in The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University between December 2019 and February 2023 was conducted. The corresponding clinical outcomes of the variables were analyzed by receiver operating characteristic (ROC) curve, chi-square test, Kaplan-Meier methods and Cox proportional hazards regression models. RESULTS The optimal cutoff values for percentages of CD8+ T cells, naive CD8+ T cells (CD8+ Tn) and memory CD8+ T cells (CD8+ Tm) expressing programmed cell death -1(PD-1) as well as PD-1+CD8+T/PD-1+CD4+T cell ratio were 21.0, 21.5, 64.3 and 0.669, respectively. It was found that the mean percentages of CD8+ T and CD8+ Tm expressing PD-1 as well as PD-1+CD8+T/PD-1+CD4+T cell ratio were significantly higher in responder (R) than non-responder (NonR) advanced gastric cancer patients associated with a longer progression free survival (PFS) and overall survival (OS). We also observed this correlation in programmed cell death-ligand 1(PD-L1) combined positive score (CPS) ≥ 5 subgroups. Univariate and multivariate Cox regression analyses demonstrated that lower CD8+ T and CD8+ Tm expressing PD-1 as well as PD-1+CD8+T/PD-1+CD4+T cell ratio were independent risk factors in advanced gastric cancer patients receiving immunotherapy plus chemotherapy. CONCLUSION The circulating memory PD-1+CD8+ T cells and PD-1+CD8+T/PD-1+CD4+T cell ratio revealed high predictive values for response and prolonged survival outcomes in advanced gastric cancer patients receiving immunotherapy. Memory PD-1+CD8+ T cells and PD-1+CD8+T/PD-1+CD4+T cell ratio might be effective for screening benefit population of immunotherapy in advanced gastric cancer patients based on this preliminary evidence.
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Affiliation(s)
- Jiang Liu
- Department of Oncology, The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University, 419 Ying Wu Nan Road, Xinghua, 225700, Jiangsu, People's Republic of China.
| | - Degan Liu
- Department of Oncology, The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University, 419 Ying Wu Nan Road, Xinghua, 225700, Jiangsu, People's Republic of China
| | - Guangyin Hu
- Department of Oncology, The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University, 419 Ying Wu Nan Road, Xinghua, 225700, Jiangsu, People's Republic of China
| | - Jingjing Wang
- Department of Oncology, The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University, 419 Ying Wu Nan Road, Xinghua, 225700, Jiangsu, People's Republic of China
| | - Dadong Chen
- Department of Oncology, The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University, 419 Ying Wu Nan Road, Xinghua, 225700, Jiangsu, People's Republic of China
| | - Chuanjun Song
- Department of Oncology, The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University, 419 Ying Wu Nan Road, Xinghua, 225700, Jiangsu, People's Republic of China
| | - Yin Cai
- Department of Oncology, The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University, 419 Ying Wu Nan Road, Xinghua, 225700, Jiangsu, People's Republic of China
| | - Chentong Zhai
- Department of Oncology, The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University, 419 Ying Wu Nan Road, Xinghua, 225700, Jiangsu, People's Republic of China
| | - Wenjing Xu
- Department of Oncology, The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University, 419 Ying Wu Nan Road, Xinghua, 225700, Jiangsu, People's Republic of China.
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15
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Xu S, Zhu Q, Wu L, Wang Y, Wang J, Zhu L, Zheng S, Hang J. Association of the CD4 +/CD8 + ratio with response to PD-1 inhibitor-based combination therapy and dermatological toxicities in patients with advanced gastric and esophageal cancer. Int Immunopharmacol 2023; 123:110642. [PMID: 37499395 DOI: 10.1016/j.intimp.2023.110642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 07/05/2023] [Accepted: 07/10/2023] [Indexed: 07/29/2023]
Abstract
The host immune system affects the treatment response to immune checkpoint inhibitors and can be reflected by circulating immune cells. This study aimed to evaluate whether circulating T cell subtypes are correlated with clinical response and dermatological toxicities in patients with advanced gastric and esophageal cancer receiving PD-1 inhibitor-based combination therapy (n = 203). In the training cohort, Eastern Cooperative Oncology Group performance status (ECOG PS), PD-L1 expression, antibiotic use, and CD4+/CD8+ ratio were identified as independent prognostic factors in these patients, using a Cox regression model. A nomogram to predict the overall survival (OS) and survival probabilities was constructed using these factors. The nomogram showed good discrimination ability (C-index, 0.767) and was externally confirmed in the validation and test cohorts. Kaplan-Meier analysis showed that median OS in patients with a CD4+/CD8+ ratio ≥1.10 was 6.2 months, which was significantly shorter than that in patients with a CD4+/CD8+ ratio <1.10 (P < 0.001). Patients with a CD4+/CD8+ ratio <1.10 had a superior objective response (43.8% vs. 23.1%) and disease control (72.9% vs. 59.0%) rate, relative to those with ratio ≥ 1.10. In addition, PD-L1 expression, corticosteroid use, and CD4+/CD8+ ratio can independently predict dermatological toxicities. In conclusion, baseline CD4+/CD8+ ratio is a potential prognostic factor for patients with advanced gastric and esophageal cancer treated with PD-1 inhibitor-based combination therapy, and can independently predict dermatological toxicities. In addition, a nomogram incorporating CD4+/CD8+ ratio, ECOG PS, PD-L1 expression, and antibiotic use can predict OS with considerable accuracy.
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Affiliation(s)
- Shuangwei Xu
- The First Clinical Medical College of Nanchang University, Nanchang 116000, China
| | - Qiuwei Zhu
- The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Medical Center, Nanjing Medical University, Changzhou 213000, China
| | - Lixia Wu
- Shanghai JingAn District ZhaBei Central Hospital, Shanghai 200070, China
| | - Yaoyao Wang
- The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Medical Center, Nanjing Medical University, Changzhou 213000, China
| | - Jingmiao Wang
- The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Medical Center, Nanjing Medical University, Changzhou 213000, China
| | - Lina Zhu
- The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Medical Center, Nanjing Medical University, Changzhou 213000, China
| | - Shanshan Zheng
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - Junjie Hang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.
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16
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LUO H, DAI S, LI Y, TIAN P, LI Q, CAI X. [Peripheral Blood Laboratory Test Results Combined with TCF1+CD8+ T Lymphocytes
Ratio to Predict the Response and Prognosis of Immunotherapy to
Advanced Lung Cancer]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2023; 26:605-614. [PMID: 37752540 PMCID: PMC10558764 DOI: 10.3779/j.issn.1009-3419.2023.102.29] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Indexed: 09/28/2023]
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) therapy lacks viable biomarkers for response and prognosis prediction. This study aimed to investigate the correlation of peripheral blood laboratory test results combined with lymphocyte subset ratios to the response and prognosis of immunotherapy in advanced lung cancer. METHODS Advanced lung cancer patients admitted to West China Hospital, Sichuan University from May 2021 to July 2023 were prospectively enrolled in this study. Clinical data and peripheral blood were collected before and after treatment and lymphocyte subset ratios were analyzed by flow cytometry. Logistic regression was used to identify factors correlated to ICIs treatment efficacy. Cox modeling was applied to explore the prognostic factors. RESULTS Logistic regression showed that the baseline level of transcription factor T cell factor 1 (TCF1)+CD8+ T cell ratio and peripheral white blood cell (WBC) count, lymphocyte percentage, cytokeratin 19 fragment (CYFRA21-1) after 1 cycle of ICIs treatment were the potential predictors for ICIs response (P<0.05). Cox regression analysis showed that the baseline level of TCF1+CD8+ T cell ratio (P=0.020) and peripheral WBC count after 1 cycle of ICIs treatment (P<0.001) were prognostic factors. CONCLUSIONS Patients with high baseline TCF1+CD8+ T cell ratio combined with low WBC counts and low CYFRA21-1 level after 1 cycle of ICIs treatment are more likely to benefit from ICIs therapy.
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Wang J, Li RZ, Wang WJ, Pan HD, Xie C, Yau LF, Wang XX, Long WL, Chen RH, Liang TL, Ma LR, Li JX, Huang JM, Wu QB, Liu L, He JX, Leung ELH. CERS4 predicts positive anti-PD-1 response and promotes immunomodulation through Rhob-mediated suppression of CD8 +Tim3 + exhausted T cells in non-small cell lung cancer. Pharmacol Res 2023; 194:106850. [PMID: 37453674 DOI: 10.1016/j.phrs.2023.106850] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/08/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023]
Abstract
Non-small cell lung cancer (NSCLC) is one of the main malignant tumors with high mortality and short survival time. Immunotherapy has become the standard treatment for advanced NSCLC, but it has the problems of drug resistance and low response rate. Therefore, obtaining effective biomarkers to predict and enhance immune checkpoint inhibitors (ICIs) efficacy in NSCLC is important. Sphingolipid metabolism is recently found to be closely involved in tumor immunotherapy. CERS4, an important sphingolipid metabolizing enzyme, is positively correlated with the efficacy of anti-PD-1 therapy for NSCLC. Upregulation of CERS4 expression could improve the efficacy of anti-PD-1 therapy for NSCLC. High expression of CERS4 could downregulate the expression of Rhob in tumor. Significantly, the ratio of CD4+/CD8+ T cell increased and the ratio of Tim-3+/CD8+ T cell decreased in spleen and peripheral blood cells. When Rhob was knocked out, the efficacy of PD-1 mAb treatment increased, and the frequency of Tim-3+ CD8+ T cell decreased. This finding further confirmed the role of sphingolipid metabolites in regulating the immunotherapeutic function of NSCLC. These metabolites may improve the efficacy of PD-1 mAb in NSCLC by regulating the CERS4/Rhob/Tim-3 axis. Overall, this study provided a potential and effective target for predicting and improving the efficacy of ICIs for NSCLC. It also provided a new perspective for the study on the mechanisms of ICIs resistance for NSCLC.
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Affiliation(s)
- Jian Wang
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China; Department of Medical Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Run-Ze Li
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China; Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, China
| | - Wen-Jun Wang
- 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
| | - Hu-Dan Pan
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China; Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, China
| | - Chun Xie
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau (SAR), China. MOE Frontiers Science Center for Precision Oncology, University of Macau, Macau (SAR), China. State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau (SAR), China
| | - Lee-Fong Yau
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Xing-Xia Wang
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Wei-Li Long
- Department of Oncology, Luzhou People's Hospital, Luzhou, Sichuan, China
| | - Rui-Hong Chen
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Tu-Liang Liang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Lin-Rui Ma
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Jia-Xin Li
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Ju-Min Huang
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau (SAR), China. MOE Frontiers Science Center for Precision Oncology, University of Macau, Macau (SAR), China. State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau (SAR), China
| | - Qi-Biao Wu
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau (SAR), China
| | - Liang Liu
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China; Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, China.
| | - Jian-Xing He
- 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.
| | - Elaine Lai-Han Leung
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau (SAR), China. MOE Frontiers Science Center for Precision Oncology, University of Macau, Macau (SAR), China. State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau (SAR), China; Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, China; Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Chengdu, China.
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Zhou J, Chu X, Zhao J, Xie M, Wu J, Yu X, Fang Y, Li Y, Li X, Su C. Full spectrum flow cytometry-powered comprehensive analysis of PBMC as biomarkers for immunotherapy in NSCLC with EGFR-TKI resistance. Biol Proced Online 2023; 25:21. [PMID: 37488517 PMCID: PMC10364374 DOI: 10.1186/s12575-023-00215-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 07/14/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Clinical studies suggest that immune checkpoint inhibitor (ICI) monotherapy has limited benefits in non-small cell lung cancer (NSCLC) patients after epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) failure. However, data about efficacy of ICI plus chemotherapy remain controversial, probably attributed to the heterogeneity among such population, and robust efficacy biomarkers are urgent to explore. METHODS A total of 60 eligible patients who received ICI plus chemotherapy after EGFR-TKI treatment failure were enrolled, 24 of whom peripheral blood mononuclear cell (PBMC) samples were collected at baseline and after 2 cycles of treatment. We have designed a 23-color-antibody panel to detect PBMC by full spectrum flow cytometry. RESULTS For EGFR-TKI resistant NSCLC patients: 1) ICI plus chemotherapy achieved an objective response rate (ORR) of 21.7% and a median progression-free survival (PFS) of 6.4 months. 2) clinical characteristics associated with worse efficacy included liver metastasis and platelet-to-lymphocyte ratio (PLR) > 200. 3) the proportion of immune cell subset associated with better efficacy was higher baseline effective CD4+T cells (E4). 4) the baseline expression of immune checkpoint proteins (ICPs) on cell subsets associated with better efficacy included: higher expression of CD25 on dendritic cells (DC) and central memory CD8+T cells (CM8), and higher expression of Lymphocyte activation gene 3 (LAG-3) on effective memory CD8+T cells (EM8). 5) the expression of ICPs after 2 cycles of treatment associated with better efficacy included: higher expression of CD25 on CD8+T/EM8 /natural killer (NK) cells. 6) the dynamic changes of ICPs expression associated with worse efficacy included: significantly decrease of T cell immunoglobulin and ITIM domain (TIGIT) expression on regular T cells (Tregs) and decrease of V-domain immunoglobulin suppressor of T cell activation (VISTA) expression on Th1. 7) a prediction model for the efficacy of ICI plus chemotherapy was successfully constructed with a sensitivity of 62.5%, specificity of 100%, and area under curve (AUC) = 0.817. CONCLUSIONS Some EGFR-TKI-resistant NSCLC patients could indeed benefit from ICI plus chemotherapy, but most patients are primary resistant to immunotherapy. Comprehensive analysis of peripheral immune cells using full spectrum flow cytometry showed that compared to the proportion of cell subsets, the expression type and level of ICPs on immune cells, especially CD25, were significantly correlated with the efficacy of immunotherapy.
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Affiliation(s)
- Juan Zhou
- Department of Oncology, Department of Clinical Research Center, Shanghai Pulmonary Hospital &, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200043, China
| | - Xiangling Chu
- Department of Oncology, Department of Clinical Research Center, Shanghai Pulmonary Hospital &, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200043, China
| | - Jing Zhao
- Department of Oncology, Department of Clinical Research Center, Shanghai Pulmonary Hospital &, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200043, China
| | - Mengqing Xie
- Department of Oncology, Department of Clinical Research Center, Shanghai Pulmonary Hospital &, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200043, China
| | - Jing Wu
- Department of Oncology, Department of Clinical Research Center, Shanghai Pulmonary Hospital &, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200043, China
| | - Xin Yu
- Department of Oncology, Department of Clinical Research Center, Shanghai Pulmonary Hospital &, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200043, China
| | - Yujia Fang
- Department of Oncology, Department of Clinical Research Center, Shanghai Pulmonary Hospital &, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200043, China
| | - Yazhou Li
- Righton Biotechnology Co., Ltd, Shanghai, China
| | - Xiyan Li
- Righton Biotechnology Co., Ltd, Shanghai, China
| | - Chunxia Su
- Department of Oncology, Department of Clinical Research Center, Shanghai Pulmonary Hospital &, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200043, China.
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19
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Shapiro JA, Gaonkar KS, Spielman SJ, Savonen CL, Bethell CJ, Jin R, Rathi KS, Zhu Y, Egolf LE, Farrow BK, Miller DP, Yang Y, Koganti T, Noureen N, Koptyra MP, Duong N, Santi M, Kim J, Robins S, Storm PB, Mack SC, Lilly JV, Xie HM, Jain P, Raman P, Rood BR, Lulla RR, Nazarian J, Kraya AA, Vaksman Z, Heath AP, Kline C, Scolaro L, Viaene AN, Huang X, Way GP, Foltz SM, Zhang B, Poetsch AR, Mueller S, Ennis BM, Prados M, Diskin SJ, Zheng S, Guo Y, Kannan S, Waanders AJ, Margol AS, Kim MC, Hanson D, Van Kuren N, Wong J, Kaufman RS, Coleman N, Blackden C, Cole KA, Mason JL, Madsen PJ, Koschmann CJ, Stewart DR, Wafula E, Brown MA, Resnick AC, Greene CS, Rokita JL, Taroni JN, Children’s Brain Tumor Network, Pacific Pediatric Neuro-Oncology Consortium. OpenPBTA: The Open Pediatric Brain Tumor Atlas. CELL GENOMICS 2023; 3:100340. [PMID: 37492101 PMCID: PMC10363844 DOI: 10.1016/j.xgen.2023.100340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 02/28/2023] [Accepted: 05/04/2023] [Indexed: 07/27/2023]
Abstract
Pediatric brain and spinal cancers are collectively the leading disease-related cause of death in children; thus, we urgently need curative therapeutic strategies for these tumors. To accelerate such discoveries, the Children's Brain Tumor Network (CBTN) and Pacific Pediatric Neuro-Oncology Consortium (PNOC) created a systematic process for tumor biobanking, model generation, and sequencing with immediate access to harmonized data. We leverage these data to establish OpenPBTA, an open collaborative project with over 40 scalable analysis modules that genomically characterize 1,074 pediatric brain tumors. Transcriptomic classification reveals universal TP53 dysregulation in mismatch repair-deficient hypermutant high-grade gliomas and TP53 loss as a significant marker for poor overall survival in ependymomas and H3 K28-mutant diffuse midline gliomas. Already being actively applied to other pediatric cancers and PNOC molecular tumor board decision-making, OpenPBTA is an invaluable resource to the pediatric oncology community.
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Affiliation(s)
- Joshua A. Shapiro
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Krutika S. Gaonkar
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephanie J. Spielman
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Rowan University, Glassboro, NJ 08028, USA
| | - Candace L. Savonen
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Chante J. Bethell
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Run Jin
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Komal S. Rathi
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yuankun Zhu
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Laura E. Egolf
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Bailey K. Farrow
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Daniel P. Miller
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yang Yang
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
| | - Tejaswi Koganti
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nighat Noureen
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Mateusz P. Koptyra
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nhat Duong
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Mariarita Santi
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Jung Kim
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
| | - Shannon Robins
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Phillip B. Storm
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephen C. Mack
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Jena V. Lilly
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Hongbo M. Xie
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Payal Jain
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Pichai Raman
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Brian R. Rood
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Rishi R. Lulla
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
| | - Javad Nazarian
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
| | - Adam A. Kraya
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Zalman Vaksman
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Allison P. Heath
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Cassie Kline
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Laura Scolaro
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Angela N. Viaene
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Xiaoyan Huang
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Gregory P. Way
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Steven M. Foltz
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bo Zhang
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Anna R. Poetsch
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
| | - Sabine Mueller
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
| | - Brian M. Ennis
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Michael Prados
- University of California, San Francisco, San Francisco, CA 94115, USA
| | - Sharon J. Diskin
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Siyuan Zheng
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Yiran Guo
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Shrivats Kannan
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Angela J. Waanders
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Ashley S. Margol
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Meen Chul Kim
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Derek Hanson
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
| | - Nicholas Van Kuren
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jessica Wong
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Rebecca S. Kaufman
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Noel Coleman
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Christopher Blackden
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kristina A. Cole
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jennifer L. Mason
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Peter J. Madsen
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Carl J. Koschmann
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
| | - Douglas R. Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
| | - Eric Wafula
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Miguel A. Brown
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Adam C. Resnick
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Casey S. Greene
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jo Lynne Rokita
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jaclyn N. Taroni
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Children’s Brain Tumor Network
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Rowan University, Glassboro, NJ 08028, USA
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
- University of California, San Francisco, San Francisco, CA 94115, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Pacific Pediatric Neuro-Oncology Consortium
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Rowan University, Glassboro, NJ 08028, USA
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
- University of California, San Francisco, San Francisco, CA 94115, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Zhang C, Jiang D, Luo C, Yuan D, Shang G. Perioperative Effect of Single-Port Thoracoscopic Segmentectomy and Three-Port Thoracoscopic Segmentectomy in the Treatment of Early Non-Small-Cell Lung Cancer. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2023; 2023:7550317. [PMID: 36873790 PMCID: PMC9981298 DOI: 10.1155/2023/7550317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/19/2022] [Accepted: 09/27/2022] [Indexed: 02/25/2023]
Abstract
Background Clinically, there were few reports on single-hole thoracoscopic segmental resection in non-small-cell lung cancer (NSCLC), and no report on the comparison of single-hole and three-hole thoracoscopic segmental resection. Hence, the purpose of the study was to explore the perioperative role of single-port thoracoscopic segmentectomy and three-port thoracoscopic segmentectomy for early-stage NSCLC. Methods The clinical data of 80 patients with early-stage NSCLC who were treated in our hospital from January 2021 to June 2022 were selected as the retrospective research subjects and divided into a comparison/research group with 40 cases in each group according to different surgical methods. Among them, the comparison group was received three-port thoracoscopic segmentectomy, and the research group was received single-port thoracoscopic segmentectomy. The surgical indicators, immune and tumor marker levels, as well as prognostic complications between two groups were compared. Results There was no remarkable diversity between the two groups in terms of operation time and the number of lymph nodes dissected during the operation (P > 0.05). The surgical blood loss in research group was lower than comparison group (P < 0.05). After treatment, the levels of CYFRA21-1, CA125, as well as VGEF in the research group were markedly lower than comparison group (P < 0.05). The differences in CD4+, CD3+, and CD4+/CD8+ after treatment were prominent, and the research group was higher than comparison group (P < 0.05). There was no statistical difference in postoperative complications between the two groups (P > 0.05). Conclusions Single-hole thoracoscopic lobectomy has obvious advantages in the treatment of NSCLC, which can reduce intraoperative bleeding, enhance the recovery of patients' immune function, and promote postoperative recovery.
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Affiliation(s)
- Cong Zhang
- Department of Thoracic Surgery, Chengdu Seventh People's Hospital, Chengdu, 610200 Sichuan, China
| | - Dexiong Jiang
- Department of Thoracic Surgery, Chengdu Seventh People's Hospital, Chengdu, 610200 Sichuan, China
| | - Cuilian Luo
- Department of Oncology, Chengdu Seventh People's Hospital, Chengdu, 610200 Sichuan, China
| | - Dongdong Yuan
- Department of Thoracic Surgery, Chengdu Seventh People's Hospital, Chengdu, 610200 Sichuan, China
| | - Guansheng Shang
- Department of Thoracic Surgery, Chengdu Seventh People's Hospital, Chengdu, 610200 Sichuan, China
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21
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Cui Y, Han X, Liu H, Xie Q, Guan Y, Yin B, Xiao J, Feng D, Wang X, Li J, Chen J, Liu X, Li X, Nie W, Ma L, Liu H, Liang J, Li Y, Wang B, Wang J. Impact of endogenous glucocorticoid on response to immune checkpoint blockade in patients with advanced cancer. Front Immunol 2023; 14:1081790. [PMID: 37114049 PMCID: PMC10126286 DOI: 10.3389/fimmu.2023.1081790] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 03/28/2023] [Indexed: 04/29/2023] Open
Abstract
Background Previous studies indicate that exogenous use of glucocorticoid (GC) affects immune checkpoint inhibitor (ICI) efficacy. However, there is a paucity of clinical data evaluating the direct impact of endogenous GC on the efficacy for cancer patients with immune checkpoint blockade. Methods We first compared the endogenous circulating GC levels in healthy individuals and patients with cancer. We next retrospectively reviewed patients with advanced cancer with PD-1/PD-L1 inhibitor alone or combination therapy in a single center. The effects of baseline circulating GC levels on objective response rate (ORR), durable clinical benefit (DCB), progression-free survival (PFS), and overall survival (OS) were analyzed. The association of the endogenous GC levels with circulating lymphocytes, cytokines levels, and neutrophil to lymphocyte ratio, and tumor infiltrating immune cells, were systematically analyzed. Results The endogenous GC levels in advanced cancer patients were higher than those in early-stage cancer patients as well as healthy people. In the advanced cancer cohort with immune checkpoint blockade (n=130), patients with high baseline endogenous GC levels (n=80) had a significantly reduced ORR (10.0% vs 40.0%; p<0.0001) and DCB (35.0% vs 73.5%, p=0.001) compared to those with low endogenous GC levels (n=50). The increased GC levels was significantly associated with reduced PFS (HR 2.023; p=0.0008) and OS (HR 2.809; p=0.0005). Moreover, statistically significant differences regarding PFS, and OS were also detected after propensity score matching. In a multivariable model, the endogenous GC was identified as an independent indicator for predicting PFS (HR 1.779; p=0.012) and OS (HR 2.468; p=0.013). High endogenous GC levels were significantly associated with reduced lymphocytes (p=0.019), increased neutrophil to lymphocyte ratio (p=0.0009), and increased interleukin-6 levels (p=0.025). Patients with high levels of endogenous GC had low numbers of tumor infiltrating CD3+ (p=0.001), CD8+ T (p=0.059), and CD4+ T (p=0.002) cells, and the numbers of circulating PD-1+ NK cells (p=0.012), and the ratio of CD8+PD-1+ to CD4+PD-1+ (p=0.031) were higher in patients with high levels of endogenous GC compared to low levels of endogenous GC. Conclusion Baseline endogenous GC increase executes a comprehensive negative effect on immunosurveillance and response to immunotherapy in real-world cancer patients accompanied with cancer progression.
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Affiliation(s)
- Yu Cui
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Xinyue Han
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Hongtao Liu
- Department of Pathology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Qi Xie
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Yaping Guan
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Beibei Yin
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Junjuan Xiao
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Dongfeng Feng
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Xuan Wang
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Junwei Li
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Jinghua Chen
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Xiaolin Liu
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Xingyu Li
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Weiwei Nie
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Lin Ma
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Hairong Liu
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Jing Liang
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Yan Li
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
| | - Baocheng Wang
- Department of Oncology, The 960th Hospital, The PEOPLE’s Liberation Army, Jinan, China
| | - Jun Wang
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Lung Cancer Institute, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
- *Correspondence: Jun Wang,
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Lim YJ, Koh J, Choi M, Kim S, Chie EK. Prognostic stratification based on the levels of tumor-infiltrating myeloid-derived suppressor cells and PD-1/PD-L1 axis in locally advanced rectal cancer. Front Oncol 2022; 12:1018700. [PMID: 36387259 PMCID: PMC9641101 DOI: 10.3389/fonc.2022.1018700] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 10/11/2022] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Although rectal cancer remains somewhat sanctuary to the contemporary immunotherapy, there is increasing knowledge on clinical implications of anti-tumor immunity. This study evaluated the prognostic relevance of two immune-inhibitory functions, myeloid-derived suppressor cells (MDSCs) and programmed cell death-1 (PD-1)/programmed death-ligand 1 (PD-L1) axis. METHODS Study cohort is comprised of 165 patients with locally advanced rectal cancer who underwent neoadjuvant chemoradiotherapy followed by definitive resection. Using postsurgical tissue microarrays, the number of MDSCs, PD-1+/CD8+ tumor-infiltrating lymphocyte (TIL) ratio, and PD-L1 expression scores in stromal immune cells and tumor cells were assessed. RESULTS Positive correlation was observed between the PD-1+/CD8+ TIL ratio and number of MDSCs (P < 0.001). The greater the immune infiltrates, the higher the PD-L1 immune cell score (P < 0.001). MDSCHigh, PD-1+/CD8+ TILHigh, PD-L1 immune cell scoreLow, and PD-L1 tumor H-scoreHigh were associated with worse disease-free survival (DFS) (P < 0.001, P = 0.042, 0.047, and P < 0.001, respectively). To integrate the adverse effects of MDSCHigh, PD-1+/CD8+ TILHigh, and either PD-L1 immune cell scoreLow (set I) or tumor H-scoreHigh (set II), prognostic risks were stratified according to the number of factors: 0, 1, and 2-3 (P < 0.001 for I and II). On multivariate analyses, patients with multiple risk factors for set I and II had worse prognosis (P < 0.001; 2-3 vs. 0 for models I and II), and the two prognostic models had acceptable predictability. CONCLUSION In this study, integration of the prognostic impact of MDSCs and PD-1/PD-L1 stratified the long-term risks of patients with locally advanced rectal cancer. Thus, further exploration could be focused to the identified subset of patients carrying worse prognosis, where potential benefits could be derived by targeting the two components contributing to the immunosuppressive microenvironment.
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Affiliation(s)
- Yu Jin Lim
- Department of Radiation Oncology, Kyung Hee University College of Medicine, Kyung Hee University Medical Center, Seoul, South Korea
| | - Jaemoon Koh
- Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea
| | - Minji Choi
- Medical Science Research Institute, Kyung Hee University Medical Center, Seoul, South Korea
| | - Sehui Kim
- Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea
| | - Eui Kyu Chie
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, South Korea
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The BET Protein Inhibitor JQ1 Decreases Hypoxia and Improves the Therapeutic Benefit of Anti-PD-1 in a High-Risk Neuroblastoma Mouse Model. Cells 2022; 11:cells11182783. [PMID: 36139358 PMCID: PMC9497090 DOI: 10.3390/cells11182783] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/25/2022] [Accepted: 08/30/2022] [Indexed: 11/16/2022] Open
Abstract
Anti-programmed death 1 (PD-1) is a revolutionary treatment for many cancers. The response to anti-PD-1 relies on several properties of tumor and immune cells, including the expression of PD-L1 and PD-1. Despite the impressive clinical benefit achieved with anti-PD-1 in several cancers in adults, the use of this therapy for high-risk neuroblastoma remains modest. Here, we evaluated the therapeutic benefit of anti-PD-1 in combination with JQ1 in a highly relevant TH-MYCN neuroblastoma transgenic mouse model. JQ1 is a small molecule inhibitor of the extra-terminal domain (BET) family of bromodomain proteins, competitively binding to bromodomains. Using several neuroblastoma cell lines in vitro, we showed that JQ1 inhibited hypoxia-dependent induction of HIF-1α and decreased the expression of the well-known HIF-1α downstream target gene CA9. Using MRI relaxometry performed on TH-MYCN tumor-bearing mice, we showed that JQ1 decreases R2* in tumors, a parameter associated with intra-tumor hypoxia in pre-clinical settings. Decreasing hypoxia by JQ1 was associated with improved blood vessel quality and integrity, as revealed by CD31 and αSMA staining on tumor sections. By analyzing the immune landscape of TH-MYCN tumors in mice, we found that JQ1 had no major impact on infiltrating immune cells into the tumor microenvironment but significantly increased the percentage of CD8+ PD-1+, conventional CD4+ PD-1+, and Treg PD-1+ cells. While anti-PD-1 monotherapy did not affect TH-MYCN tumor growth, we showed that combinatorial therapy associating JQ1 significantly decreased the tumor volume and improved the therapeutic benefit of anti-PD-1. This study provided the pre-clinical proof of concept needed to establish a new combination immunotherapy approach that may create tremendous enthusiasm for treating high-risk childhood neuroblastoma.
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Zhang G, Liu A, Yang Y, Xia Y, Li W, Liu Y, Zhang J, Cui Q, Wang D, Liu X, Guo Y, Chen H, Yu J. Clinical predictive value of naïve and memory T cells in advanced NSCLC. Front Immunol 2022; 13:996348. [PMID: 36119064 PMCID: PMC9478592 DOI: 10.3389/fimmu.2022.996348] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 08/16/2022] [Indexed: 11/13/2022] Open
Abstract
Currently, there is no sensitive prognostic biomarker to screen out benefit patients from the non-benefit population in advanced non-small cell lung cancer patients (aNSCLCs). The 435 aNSCLCs and 278 normal controls (NCs) were recruited. The percentages and absolute counts (AC) of circulating naïve and memory T lymphocytes of CD4+ and CD8+ T cells (Tn/Tm) were measured by flow cytometry. The percentage of CD4+ naïve T (Tn), CD8+ Tn, CD8+ T memory stem cell (Tscm), and CD8+ terminal effector T cell decreased obviously. Still, all AC of Tn/Tm of aNSCLCs was significantly lower compared to NCs. Higher AC and percentage of CD4+ Tn, CD8+ Tn, and CD4+ Tscm showed markedly longer median PFS in aNSCLCs. Statistics demonstrated the AC of CD4+ Tn (≥ 3.7 cells/μL) was an independent protective factor for PFS. The analysis of the prognosis of immunotherapy showed the higher AC and percentage of CD4+ Tn and CD4+ Tscm and higher AC of CD8+ Tscm had significantly longer median PFS and the AC of CD4+ Tn (≥ 5.5 cells/μL) was an independent protective factor for PFS. Moreover, higher AC and percentages of Tn/Tm suggested higher disease control rate and lower progressive disease rate. The AC of Tn/Tm showed more regular patterns of impairment and was more relative with the disease progression than percentages in aNSCLCs. AC had a better predictive value than percentages in Tn/Tm for PFS. Notably, the AC of CD4+ Tn was a potential prognostic biomarker for the PFS and efficacy of immunotherapy.
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Affiliation(s)
- Guan Zhang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Aqing Liu
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Yanjie Yang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Ying Xia
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Wentao Li
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yunhe Liu
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jing Zhang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qian Cui
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Dong Wang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Xu Liu
- Clinic Laboratory, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yongtie Guo
- Clinic Laboratory, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Huayu Chen
- Clinic Laboratory, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jianchun Yu
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- *Correspondence: Jianchun Yu,
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25
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Wang T, Denman D, Bacot SM, Feldman GM. Challenges and the Evolving Landscape of Assessing Blood-Based PD-L1 Expression as a Biomarker for Anti-PD-(L)1 Immunotherapy. Biomedicines 2022; 10:1181. [PMID: 35625917 PMCID: PMC9138337 DOI: 10.3390/biomedicines10051181] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/16/2022] [Accepted: 05/17/2022] [Indexed: 02/05/2023] Open
Abstract
While promising, PD-L1 expression on tumor tissues as assessed by immunohistochemistry has been shown to be an imperfect biomarker that only applies to a limited number of cancers, whereas many patients with PD-L1-negative tumors still respond to anti-PD-(L)1 immunotherapy. Recent studies using patient blood samples to assess immunotherapeutic responsiveness suggests a promising approach to the identification of novel and/or improved biomarkers for anti-PD-(L)1 immunotherapy. In this review, we discuss the advances in our evolving understanding of the regulation and function of PD-L1 expression, which is the foundation for developing blood-based PD-L1 as a biomarker for anti-PD-(L)1 immunotherapy. We further discuss current knowledge and clinical study results for biomarker identification using PD-L1 expression on tumor and immune cells, exosomes, and soluble forms of PD-L1 in the peripheral blood. Finally, we discuss key challenges for the successful development of the potential use of blood-based PD-L1 as a biomarker for anti-PD-(L)1 immunotherapy.
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Affiliation(s)
- Tao Wang
- Office of Biotechnology Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA; (D.D.); (S.M.B.); (G.M.F.)
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