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Tian XP, Cai J, Xia Y, Zhang YC, Wang L, Liu PP, Huang HQ, Li YJ, Zhou H, Li ZM, Yang J, Wei LQ, Zou QH, Huang Y, Li J, Ling L, Zhong WL, Cai QQ. First-line sintilimab with pegaspargase, gemcitabine, and oxaliplatin in advanced extranodal natural killer/T cell lymphoma (SPIRIT): a multicentre, single-arm, phase 2 trial. Lancet Haematol 2024; 11:e336-e344. [PMID: 38554717 DOI: 10.1016/s2352-3026(24)00066-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 02/18/2024] [Accepted: 02/19/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Programmed cell death protein 1 (PD-1) inhibitor sintilimab is effective in relapsed and refractory extranodal natural killer/T cell lymphoma (ENKTL), nasal type. We aimed to assess the safety and activity of sintilimab plus P-GEMOX (pegaspargase, gemcitabine, and oxaliplatin) in the first-line setting for advanced ENKTL. METHODS The multicentre, single-arm, phase 2 trial was done at three medical centres in China. Patients aged 18-75 years with treatment-naive pathologically confirmed advanced ENKTL and an with Eastern Cooperative Oncology Group performance status score of 0-2 were eligible. Patients received intravenous sintilimab (200 mg on day 1), intramuscular pegaspargase (2000 U/m2 on day 1), intravenous gemcitabine (1 g/m2 on days 1 and 8), and intravenous oxaliplatin (130 mg/m2 on day 1) every 3 weeks for six cycles, followed by intravenous sintilimab (200 mg) every 3 weeks for up to 2 years or until disease progression or unacceptable toxicities. The primary endpoint was the complete response rate in the intention-to-treat population. The secondary endpoints were overall response rate (ORR), progression-free survival (PFS), disease-free survival (DFS), and overall survival. This trial is registered with ClinicalTrials.gov, NCT04127227. Enrolment has been completed, and follow-up is ongoing. FINDINGS Between Nov 29, 2019, and Sept 7, 2022, 34 eligible patients were enrolled (median age 39 years [IQR 32-55]; 25 [74%] of 34 patients were male; nine [26%] were female; and all were of Asian ethnicity). At the data cutoff (July 20, 2023), the median follow-up was 21 months (IQR 13-32). The complete response rate was 85% (29 of 34 patients, 95% CI 70-94). Five patients (15%; 95% CI 7-30) attained partial response and the ORR was 100% (34 of 34 patients). 24-month PFS was 64% (95% CI 48-86), 24-month DFS was 72% (54-95), and 36-month overall survival was 76% (52-100). The most common grade 3 or 4 treatment-related adverse events were neutropenia (17 [50%] of 34 patients), anaemia (10 [29%] patients), and hypertriglyceridemia (10 [29%] patients). Hypothyroidism was the most frequent immune-related adverse event (18 [53%]), including grade 3 hypothyroidism in one (3%) patient that caused treatment termination. No severe adverse events occurred. There were three deaths: one due to haemophagocytic syndrome, one due to disease progression, and one due to unknown cause, which were not considered to be treatment related. INTERPRETATION Combination of sintilimab with P-GEMOX seems to be an active and safe first-line regimen for patients with advanced ENKTL. FUNDING National Key Research and Development Program and National Natural Science Foundation of China, Guangzhou Science and Technology Program and the Clinical Oncology Foundation of Chinese Society of Clinical Oncology.
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Affiliation(s)
- Xiao-Peng Tian
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jun Cai
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yi Xia
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yu-Chen Zhang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Liang Wang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Pan-Pan Liu
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hui-Qiang Huang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ya-Jun Li
- Department of Lymphoma and Hematology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Hui Zhou
- Department of Lymphoma and Hematology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Zhi-Ming Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jing Yang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Li-Qiang Wei
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Qi-Hua Zou
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ying Huang
- Department of Radiotherapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jun Li
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li Ling
- Department of Medical Statistics, School of Public Health, Center for Migrant Health Policy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wen-Long Zhong
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University Cancer Center, Guangzhou, China.
| | - Qing-Qing Cai
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
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Zhang Y, Deng Y, Zou Q, Jing B, Cai P, Tian X, Yang Y, Li B, Liu F, Li Z, Liu Z, Feng S, Peng T, Dong Y, Wang X, Ruan G, He Y, Cui C, Li J, Luo X, Huang H, Chen H, Li S, Sun Y, Xie C, Wang L, Li C, Cai Q. Artificial intelligence for diagnosis and prognosis prediction of natural killer/T cell lymphoma using magnetic resonance imaging. Cell Rep Med 2024:101551. [PMID: 38697104 DOI: 10.1016/j.xcrm.2024.101551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 03/05/2024] [Accepted: 04/11/2024] [Indexed: 05/04/2024]
Abstract
Accurate diagnosis and prognosis prediction are conducive to early intervention and improvement of medical care for natural killer/T cell lymphoma (NKTCL). Artificial intelligence (AI)-based systems are developed based on nasopharynx magnetic resonance imaging. The diagnostic systems achieve areas under the curve of 0.905-0.960 in detecting malignant nasopharyngeal lesions and distinguishing NKTCL from nasopharyngeal carcinoma in independent validation datasets. In comparison to human radiologists, the diagnostic systems show higher accuracies than resident radiologists and comparable ones to senior radiologists. The prognostic system shows promising performance in predicting survival outcomes of NKTCL and outperforms several clinical models. For patients with early-stage NKTCL, only the high-risk group benefits from early radiotherapy (hazard ratio = 0.414 vs. late radiotherapy; 95% confidence interval, 0.190-0.900, p = 0.022), while progression-free survival does not differ in the low-risk group. In conclusion, AI-based systems show potential in assisting accurate diagnosis and prognosis prediction and may contribute to therapeutic optimization for NKTCL.
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Affiliation(s)
- YuChen Zhang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - YiShu Deng
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Information Technology Center, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, P.R. China
| | - QiHua Zou
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - BingZhong Jing
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Information Technology Center, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - PeiQiang Cai
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - XiaoPeng Tian
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Yu Yang
- Department of Lymphadenoma and Head & Neck Medical Oncology, Fujian Provincial Cancer Hospital & Institute, Fuzhou, P.R. China
| | - BingZong Li
- Department of Hematology, The Second Affiliated Hospital of Suzhou University, Jiangsu, P.R. China
| | - Fang Liu
- Department of Pathology, The First People's Hospital of Foshan, Foshan, P.R. China
| | - ZhiHua Li
- Department of Oncology, Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, P.R. China
| | - ZaiYi Liu
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, P.R. China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou 510080, P.R. China
| | - ShiTing Feng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, P.R. China
| | - TingSheng Peng
- Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, P.R. China
| | - YuJun Dong
- Department of Hematology, Peking University First Hospital, Beijing 100034, P.R. China
| | - XinYan Wang
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, P.R. China
| | - GuangYing Ruan
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - Yun He
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - ChunYan Cui
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - Jiao Li
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - Xiao Luo
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - HuiQiang Huang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - HaoHua Chen
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Information Technology Center, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - SongQi Li
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, P.R. China
| | - Ying Sun
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - ChuanMiao Xie
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China.
| | - Liang Wang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, P.R. China.
| | - ChaoFeng Li
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Information Technology Center, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China.
| | - QingQing Cai
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
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3
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Zhang KH, Zhang FF, Zhang ZL, Fang KF, Sun WX, Kong N, Wu M, Liu HO, Liu Y, Li Z, Cai QQ, Wang Y, Wei QW, Lin PC, Lin Y, Xu W, Xu CJ, Yuan YY, Zhao SM. Follicle stimulating hormone controls granulosa cell glutamine synthesis to regulate ovulation. Protein Cell 2024:pwad065. [PMID: 38167949 DOI: 10.1093/procel/pwad065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Indexed: 01/05/2024] Open
Abstract
Polycystic ovary syndrome (PCOS) is the leading cause of anovulatory infertility. Inadequate understanding of the ovulation drivers hinders PCOS intervention. Herein, we report that follicle stimulating hormone (FSH) controls follicular fluid (FF) glutamine levels to determine ovulation. Murine ovulation starts from FF-exposing granulosa cell (GC) apoptosis. FF glutamine, which decreases in pre-ovulation porcine FF, elevates in PCOS patients FF. High-glutamine chow to elevate FF glutamine inhibits mouse GC apoptosis and induces hormonal, metabolic, and morphologic PCOS traits. Mechanistically, follicle-development-driving FSH promotes GC glutamine synthesis to elevate FF glutamine, which maintain follicle wall integrity by inhibiting GC apoptosis through inactivating ASK1-JNK apoptotic pathway. FSH and glutamine inhibit rapture of cultured murine follicles. Glutamine removal or ASK1-JNK pathway activation with metformin or AT-101 reversed PCOS traits in PCOS models that are induced with either glutamine or EsR1-KO. These suggest that glutamine, FSH and ASK1-JNK pathway are targetable to alleviate PCOS.
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Affiliation(s)
- Kai-Hui Zhang
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
- Shanghai Key Laboratory of Metabolic Remodeling, and Children's Hospital of Fudan University, Shanghai 200032, China
- Pediatric Research Institute, Children's Hospital Affiliated to Shandong University (Jinan Children's Hospital), Jinan 250022, China
| | - Fei-Fei Zhang
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
| | - Zhi-Ling Zhang
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
- Shanghai Key Laboratory of Metabolic Remodeling, and Children's Hospital of Fudan University, Shanghai 200032, China
- School of Life Sciences and Institutes of Biomedical Sciences, Shanghai 2000438, China
| | - Ke-Fei Fang
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
| | - Wen-Xing Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Nantong University, Nantong 226019, China
| | - Na Kong
- Reproductive Medicine Center, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Min Wu
- Reproductive Medicine Center, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Hai-Ou Liu
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
| | - Yan Liu
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
| | - Zhi Li
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
| | - Qing-Qing Cai
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
| | - Yang Wang
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
| | - Quan-Wei Wei
- Department of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210014, China
| | - Peng-Cheng Lin
- Key Laboratory for Tibet Plateau Phytochemistry of Qinghai Province, College of Pharmacy, Qinghai University for Nationalities, Xining 810007, China
| | - Yan Lin
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
- Shanghai Key Laboratory of Metabolic Remodeling, and Children's Hospital of Fudan University, Shanghai 200032, China
| | - Wei Xu
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
- Shanghai Key Laboratory of Metabolic Remodeling, and Children's Hospital of Fudan University, Shanghai 200032, China
- The Fifth People's Hospital of Shanghai, Fudan University, Shanghai 200240, China
| | - Cong-Jian Xu
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
| | - Yi-Yuan Yuan
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
- Shanghai Key Laboratory of Metabolic Remodeling, and Children's Hospital of Fudan University, Shanghai 200032, China
| | - Shi-Min Zhao
- The Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200090, China
- Shanghai Key Laboratory of Metabolic Remodeling, and Children's Hospital of Fudan University, Shanghai 200032, China
- School of Life Sciences and Institutes of Biomedical Sciences, Shanghai 2000438, China
- Key Laboratory for Tibet Plateau Phytochemistry of Qinghai Province, College of Pharmacy, Qinghai University for Nationalities, Xining 810007, China
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Yang P, Liu SZ, Li CY, Zhang WL, Wang J, Chen YT, Li S, Liu CL, Liu H, Cai QQ, Zhang W, Jing HM. Genetic and prognostic analysis of blastoid and pleomorphic mantle cell lymphoma: a multicenter analysis in China. Ann Hematol 2024:10.1007/s00277-023-05597-5. [PMID: 38165416 DOI: 10.1007/s00277-023-05597-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 12/19/2023] [Indexed: 01/03/2024]
Abstract
Blastoid or pleomorphic mantle cell lymphoma (B/P-MCL) is characterized by high invasiveness and unfavorable outcomes, which is still a challenge for treating MCL. This retrospective study was performed to comprehensively analyze the clinical, genomic characteristics and treatment options of patients with B/PMCL from multicenter in China. Data were obtained from 693 patients with B/PMCL from three centers in China between April 1999 and December 2019. Seventy-four patients with BMCL (n = 43) or PMCL (n = 31) were included in the analysis. The median age of the cohort was 60.0 years with a male-to-female ratio of 2.89:1. The 3-year progression-free survival (PFS) and overall survival (OS) rates were 44.1% and 46.0%, respectively. Mutations of TP53, ATM, NOTCH1, NOTCH2, NSD2, SMARCA4, CREBBP, KMT2D, FAT1, and TRAF2 genes were the most common genetic changes in B/P-MCL. Progression of disease within 12 months (POD12) could independently predict the poor prognosis of patients with blastoid and pleomorphic variants. Patients with POD12 carried a distinct mutation profile (TP53, SMARCA4, NSD2, NOTCH2, KMT2D, PTPRD, CREBBP, and CDKN2A mutations) compared to patients with non-POD12. First-line high-dose cytosine arabinoside exposure obtained survival benefits in these populations, and BTKi combination therapy as the front-line treatment had somewhat improvement in survival with no significant difference in the statistic. In conclusion, B/P-MCL had inferior outcomes and a distinct genomic profile. Patients with POD12 displayed a distinct mutation profile and a poor prognosis. New therapeutic drugs and clinical trials for B/P-MCL need to be further explored.
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Affiliation(s)
- Ping Yang
- Department of Hematology, Peking University Third Hospital, No. 49 Huayuan N Rd Haidian District, Beijing, China
| | - Shuo-Zi Liu
- Department of Hematology, Peking University Third Hospital, No. 49 Huayuan N Rd Haidian District, Beijing, China
| | - Chun-Yuan Li
- Department of Hematology, Peking University Third Hospital, No. 49 Huayuan N Rd Haidian District, Beijing, China
| | - Wei-Long Zhang
- Department of Hematology, Peking University Third Hospital, No. 49 Huayuan N Rd Haidian District, Beijing, China
| | - Jing Wang
- Department of Hematology, Peking University Third Hospital, No. 49 Huayuan N Rd Haidian District, Beijing, China
| | - Ying-Tong Chen
- Department of Hematology, Peking University Third Hospital, No. 49 Huayuan N Rd Haidian District, Beijing, China
| | - Sen Li
- Department of Hematology, Peking University Third Hospital, No. 49 Huayuan N Rd Haidian District, Beijing, China
| | - Cui-Ling Liu
- Department of Hematology, Peking University Third Hospital, No. 49 Huayuan N Rd Haidian District, Beijing, China
| | - Hui Liu
- Department of Hematology, Beijing Hospital, Beijing, China
| | - Qing-Qing Cai
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Wei Zhang
- Department of Hematology, Peking Union Medical College Hospital, Beijing, China
| | - Hong-Mei Jing
- Department of Hematology, Peking University Third Hospital, No. 49 Huayuan N Rd Haidian District, Beijing, China.
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5
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Cai QQ, Li Y, Huang Y, Wang LF, Zhang FB, Yang HJ. [Mechanism of Xinshubao Tablets in exerting anti-inflammatory, vasodilation, and cardioprotective effects based on network pharmacology]. Zhongguo Zhong Yao Za Zhi 2024; 49:487-497. [PMID: 38403324 DOI: 10.19540/j.cnki.cjcmm.20230809.401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
This study aims to explore the anti-inflammatory, vasodilation, and cardioprotective effects of the intestinal absorption liquids containing Xinshubao Tablets or single herbs, and to elucidate the potential mechanism based on network pharmacology. Western blot was then conducted to validate the expression changes of core proteins. Lipopolysaccharide(LPS)-stimulated RAW264.7 cells were used to observe the anti-inflammatory effect. The vasodilation activity was examined by the microvessel relaxation assay in vitro. Oxygen-glucose deprivation(OGD)-induced H9c2 cells were used to investigate the cardioprotective effect. The chemical components were retrieved from Herb databases and composition of Xinshubao Tablets drug-containing intestinal absorption solution. Drug targets were retrieved from SwissTargetPrediction databases. GeneCards was searched for the targets associated with the anti-inflammatory, vasodilation, and cardioprotective effects. The common targets shared by the drug and the effects were used to establish the protein-protein interaction(PPI) network, from which the core targets were obtained. Finally, the core targets were imported into Cytoscape 3.9.1 for Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) analyses. The anti-inflammatory experiment showed that both Xinshubao Tablets and the single herbs constituting this formula had anti-inflammatory effects. Curcumae Radix had the strongest inhibitory effect on the production of tumor necrosis factor-α(TNF-α), and Salviae Miltiorrhizae Radix et Rhizoma had the strongest inhibitory effect on the generation of interleukin-6(IL-6). Xinshubao Tablets, Curcumae Radix, and Crataegi Fructus had vasodilation effect, and Crataegi Fructus had the strongest effect. Xinshubao Tablets, Salviae Miltiorrhizae Radix et Rhizoma, Acanthopanacis Senticosi Radix et Rhizoma seu Caulis, and Paeoniae Radix Alba had cardioprotective effects, and Salviae Miltiorrhizae Radix et Rhizoma had the strongest cardioprotective effect. Network pharmacology results demonstrated that except the whole formula, Salviae Miltiorrhizae Radix et Rhizoma had the most components with anti-inflammatory effect, and Curcumae Radix had the most components with vasodilation and cardioprotective effects, followed by Salviae Miltiorrhizae Radix et Rhizoma. The nitric oxide synthase 3(NOS3) was predicted as the core target for the anti-inflammatory, vasodilation, and cardioprotective effects. Western blot results showed that Xinshubao Tablets significantly up-regulated the expression of NOS3 in OGD-induced H9c2 cells. GO enrichment analysis showed that the effects were mainly related to lipid exported from cell, regulation of blood pressure, and inflammatory response. KEGG pathway enrichment predicted AGE-RAGE and HIF-1 signaling pathways as the key pathways.
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Affiliation(s)
- Qing-Qing Cai
- Tianjin University of Traditional Chinese Medicine Tianjin 301617, China Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China
| | - Yu Li
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China
| | - Ying Huang
- Experimental Research Center, China Academy of Chinese Medical Sciences Beijing 100700, China
| | - Li-Fang Wang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China
| | - Fang-Bo Zhang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China
| | - Hong-Jun Yang
- China Academy of Chinese Medical Sciences Beijing 100700, China
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Wu YH, Qin Y, Cai QQ, Liu M, He DM, Chen X, Wang H, Yan ZY. Effect the accumulation of bioactive constituents of a medicinal plant (Salvia Miltiorrhiza Bge.) by arbuscular mycorrhizal fungi community. BMC Plant Biol 2023; 23:597. [PMID: 38017446 PMCID: PMC10683245 DOI: 10.1186/s12870-023-04608-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 11/14/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND Arbuscular mycorrhizal fungi (AMF) form symbiotic relationships with various terrestrial plants and have attracted considerable interest as biofertilizers for improving the quality and yield of medicinal plants. Despite the widespread distribution of AMFs in Salvia miltiorrhiza Bunge's roots, research on the impact of multiple AMFs on biomass and active ingredient accumulations has not been conducted. In this study, the effects of five native AMFs (Glomus formosanum, Septoglomus constrictum, Rhizophagus manihotis, Acaulospora laevis, and Ambispora gerdemannii) and twenty-six communities on the root biomass and active ingredient concentrations of S. miltiorrhiza were assessed using the total factor design method. RESULTS Thirty-one treatment groups formed symbiotic relationships with S. miltiorrhiza based on the pot culture results, and the colonization rate ranged from 54.83% to 89.97%. AMF communities had higher colonization rates and total phenolic acid concentration than single AMF, and communities also appeared to have higher root fresh weight, dry weight, and total phenolic acid concentration than single inoculations. As AMF richness increased, there was a rising trend in root biomass and total tanshinone accumulations (ATTS), while total phenolic acid accumulations (ATP) showed a decreasing trend. This suggests that plant productivity was influenced by the AMF richness, with higher inoculation benefits observed when the communities contained three or four AMFs. Additionally, the affinities of AMF members were also connected to plant productivity. The inoculation effect of closely related AMFs within the same family, such as G. formosanum, S. constrictum, and R. manihotis, consistently yielded lower than that of mono-inoculation when any combinations were applied. The co-inoculation of S. miltiorrhiza with nearby or distant AMFs from two families, such as G. formosanum, R. manihotis, and Ac. laevis or Am. gerdemannii resulted in an increase of ATP and ATTS by more than 50%. AMF communities appear to be more beneficial to the yield of bioactive constituents than the single AMF, but overall community inoculation effects are related to the composition of AMFs and the relationship between members. CONCLUSION This study reveals that the AMF community has great potential to improve the productivity and the accumulation of bioactive constituents in S. miltiorrhiza, indicating that it is an effective way to achieve sustainable agricultural development through using the AMF community.
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Affiliation(s)
- Yan-Hong Wu
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yong Qin
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qing-Qing Cai
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Min Liu
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Dong-Mei He
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xin Chen
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hai Wang
- School of Medical Technology, Chengdu University of Chinese Medicine, Chengdu, China.
| | - Zhu-Yun Yan
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
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Tian XP, Cao Y, Cai J, Zhang YC, Zou QH, Wang JN, Fang Y, Wang JH, Guo SB, Cai QQ. Novel target and treatment agents for natural killer/T-cell lymphoma. J Hematol Oncol 2023; 16:78. [PMID: 37480137 PMCID: PMC10362755 DOI: 10.1186/s13045-023-01483-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 07/19/2023] [Indexed: 07/23/2023] Open
Abstract
The rapidly increasing use of high-throughput screening had produced a plethora of expanding knowledge on the molecular basis of natural killer/T-cell lymphoma (NKTCL), which in turn has revolutionized the treatment. Specifically, the use of asparaginase-containing regimens has led to substantial improvement in survival outcomes in NKTCL patients. Novel treatment strategies that are currently under development include cell-surface-targeted antibodies, immune checkpoint inhibitors, Epstein-Barr virus targeted cytotoxic T lymphocyte, immunomodulatory agents, chimeric antigen receptor T cells, signaling pathway inhibitors and epigenetic targeted agents. In almost all cases, initial clinical studies of newly developed treatment are conducted in patients relapsed, and refractory NKTCL due to very limited treatment options. This review summarizes the results of these novel treatments for NKTCL and discusses their potential for likely use in NKTCL in a wider setting in the future.
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Affiliation(s)
- Xiao-Peng Tian
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China
| | - Yi Cao
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China
| | - Jun Cai
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China
| | - Yu-Chen Zhang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China
| | - Qi-Hua Zou
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China
| | - Jin-Ni Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China
| | - Yu Fang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China
| | - Jia-Hui Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China
| | - Song-Bin Guo
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China
| | - Qing-Qing Cai
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, People's Republic of China.
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
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Huang WJ, Guo SB, Shi H, Li XL, Zhu Y, Li M, Song LY, Yu RM, Cai QQ, Tian XP. The β-catenin-LINC00183-miR-371b-5p-Smad2/LEF1 axis promotes adult T-cell lymphoblastic lymphoma progression and chemoresistance. J Exp Clin Cancer Res 2023; 42:105. [PMID: 37106379 PMCID: PMC10141948 DOI: 10.1186/s13046-023-02670-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 04/10/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND High-intensity chemotherapy regimens are often used in adult T-cell lymphoblastic lymphoma (T-LBL) patients. Nevertheless, the response rate remains unsatisfactory due to emergence of chemoresistance. Growing evidence has shown that long non-coding RNAs (lncRNAs) are involved in tumor progression and chemoresistance. Herein, we investigated the potential role of lncRNAs in T-LBLs. METHODS RNAseq was used to screen and identify candidate lncRNAs associated with T-LBL progression and chemoresistance. Luciferase reporter assay was used to examine the binding of miR-371b-5p to the 3'UTR of Smad2 and LEF1, and the binding of TCF-4/LEF1 to the promoter of LINC00183. Chromatin immunoprecipitation assay was undertaken to analyze the connection between LEF1 and the LINC00183 promoter region. RNA immunoprecipitation assays were used to explore the mechanism whereby LINC00183 regulated miR-371b-5p. MTT and flow cytometry assays were used to measure apoptosis of T-LBL cells. RESULTS LINC00183 was upregulated in T-LBL progression and chemoresistant tissues in both the Sun Yat-sen University Cancer Center dataset and the First Affiliated Hospital of Anhui Medical University dataset. High expression of LINC00183 was correlated with poorer overall survival and progression-free survival of T-LBL patients compared to those with low expression of LINC00183. Furthermore, miR-371b-5p was negatively regulated by LINC00183. In vivo and in vitro assays showed that LINC00183-mediated T-LBL chemoresistance depended on miR-371b-5p expression. The direct binding of miR-371b-5p to Smad2 and LEF1 was verified by luciferase assays. It was shown that TCF4/LEF1 could bind to the LINC00183 promoter site and increase its transcript level. Downregulation of miR-371b-5p led to increased expression of Smad2/LEF1, and in turn increased LINC00183 expression. Additionally, phospho-Smad2 promotes nuclear translocation of β-catenin, LINC00183 downregulation decreased chemoresistance induced by β-catenin and TGF-β1 in T-LBL cells. CONCLUSION We unraveled a β-catenin-LINC00183-miR-371b-5p-Smad2/LEF1 feedback loop that promotes T-LBL progression and chemoresistance, indicating that LINC00183 may serve as a potential therapeutic target in T-LBLs.
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Affiliation(s)
- Wei-Juan Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China
- Biotechnological Institute of Chinese Materia Medical, Jinan University, Guangzhou, China
| | - Song-Bin Guo
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hui Shi
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China
- Biotechnological Institute of Chinese Materia Medical, Jinan University, Guangzhou, China
| | - Xin-Ling Li
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China
- Biotechnological Institute of Chinese Materia Medical, Jinan University, Guangzhou, China
| | - Yong Zhu
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Public Health Clinical Center, Hefei, China
| | - Mei Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li-Yan Song
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China
- Biotechnological Institute of Chinese Materia Medical, Jinan University, Guangzhou, China
| | - Rong-Min Yu
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China
- Biotechnological Institute of Chinese Materia Medical, Jinan University, Guangzhou, China
| | - Qing-Qing Cai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiao-Peng Tian
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
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Tian XP, Zhang YC, Lin NJ, Wang L, Li ZH, Guo HG, Ma SY, An MJ, Yang J, Hong YH, Wang XH, Zhou H, Li YJ, Rao HL, Li M, Hu SX, Lin TY, Li ZM, Huang H, Liang Y, Xia ZJ, Lv Y, Liu YY, Duan ZH, Chen QY, Wang JN, Cai J, Xie Y, Ong CK, Liu F, Liu YY, Yan Z, Huang L, Tao R, Li WY, Huang HQ, Cai QQ. Diagnostic performance and prognostic value of circulating tumor DNA methylation marker in extranodal natural killer/T cell lymphoma. Cell Rep Med 2023; 4:100859. [PMID: 36812892 PMCID: PMC9975248 DOI: 10.1016/j.xcrm.2022.100859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 07/12/2022] [Accepted: 11/18/2022] [Indexed: 02/23/2023]
Abstract
Circulating tumor DNA (ctDNA) carries tumor-specific genetic and epigenetic variations. To identify extranodal natural killer/T cell lymphoma (ENKTL)-specific methylation markers and establish a diagnostic and prognosis prediction model for ENKTL, we describe the ENKTL-specific ctDNA methylation patterns by analyzing the methylation profiles of ENKTL plasma samples. We construct a diagnostic prediction model based on ctDNA methylation markers with both high specificity and sensitivity and close relevance to tumor staging and therapeutic response. Subsequently, we built a prognostic prediction model showing excellent performance, and its predictive accuracy is significantly better than the Ann Arbor staging and prognostic index of natural killer lymphoma (PINK) risk system. Notably, we further establish a PINK-C risk grading system to select individualized treatment for patients with different prognostic risks. In conclusion, these results suggest that ctDNA methylation markers are of great value in diagnosis, monitoring, and prognosis, which might have implications for clinical decision-making of patients with ENKTL.
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Affiliation(s)
- Xiao-Peng Tian
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Yu-Chen Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Ning-Jing Lin
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Liang Wang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, P.R. China
| | - Zhi-Hua Li
- Department of Oncology, Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, P. R. China
| | - Han-Guo Guo
- Division of Lymphoma, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, P.R. China
| | - Shu-Yun Ma
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Ming-Jie An
- Department of Urology, Sun Yat-sen Memorial Hospital, Guangzhou, P.R. China
| | - Jing Yang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, P.R. China
| | - Yu-Heng Hong
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P.R. China
| | - Xian-Huo Wang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P.R. China
| | - Hui Zhou
- Department of Lymphoma and Hematology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, P.R. China
| | - Ya-Jun Li
- Department of Lymphoma and Hematology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, P.R. China
| | - Hui-Lan Rao
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Mei Li
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Shao-Xuan Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Tong-Yu Lin
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Zhi-Ming Li
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - He Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Yang Liang
- Department of Hematology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Zhong-Jun Xia
- Department of Hematology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Yue Lv
- Department of Hematology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Yu-Ying Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Zhao-Hui Duan
- Department of Clinical Laboratory, Sun Yat-sen Memorial Hospital, Guangzhou, P.R. China
| | - Qing-Yu Chen
- Department of Medical Examination Center, Sun Yat-sen Memorial Hospital, Guangzhou, P.R. China
| | - Jin-Ni Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Jun Cai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Ying Xie
- Guangdong Provincial Academy of Chinese Medical Sciences, State Key Laboratory of Dampness Syndrome of Chinese Medicine, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, P.R. China
| | - Choon-Kiat Ong
- Lymphoma Genomic Translational Research Laboratory, Division of Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, 169610 Singapore, Singapore
| | - Fang Liu
- Department of Pathology, The First People's Hospital of Foshan, Foshan, P.R. China
| | - Yan-Yan Liu
- Department of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, 127 Dongming Road, Zhengzhou 450008, P.R. China
| | - Zheng Yan
- Department of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, 127 Dongming Road, Zhengzhou 450008, P.R. China
| | - Liang Huang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Rong Tao
- Department of Lymphoma, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.
| | - Wen-Yu Li
- Department of Urology, Sun Yat-sen Memorial Hospital, Guangzhou, P.R. China.
| | - Hui-Qiang Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
| | - Qing-Qing Cai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
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Yu T, Cai QQ, Zhai QL, Li L, Fang X, Li J, Sun R, Yang H, Wang Z, Qian W, Xu-Monette ZY, Young KH, Yu L. Analysis of albumin as a prognostic factor in HHV-8/HIV-negative Castleman disease from a multicenter study. Leuk Lymphoma 2022; 63:3082-3091. [PMID: 36074798 DOI: 10.1080/10428194.2022.2118528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
As a rare lymphoproliferative disorder, many patients with HHV-8/HIV-negative Castleman disease (CD) have hypoalbuminemia. However, data is limited on whether hypoalbuminemia is an independent predictor of CD. We retrospectively collected data from 230 patients diagnosed at 12 medical centers in China and the U.S. Different classifications included 147 patients with unicentric CD (UCD) and 83 with idiopathic multicentric CD (iMCD). Adjusted smooth curve fitting showed that the relationship between albumin and all-cause death of patients with CD and iMCD was linear. Cox proportional hazards regression modeling showed a negative association between the risk of death and albumin level (hazard ratio [HR]: 0.84; 95% CI, 0.76, 0.93). Using the Kaplan-Meier method, we determined that hypoproteinemia was a risk factor for poorer prognosis in patients with CD, UCD, and iMCD. Albumin was independently and negatively associated with the risk of death in CD patients, especially those with iMCD.
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Affiliation(s)
- Tiantian Yu
- Department of Hematology and Oncology, The Second Affiliated Hospital of NanChang University, Nanchang, China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Qiong-Li Zhai
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Ling Li
- Department of Medical Oncology, Zhenzhou University Cancer Center, Zhenzhou, China
| | - Xiaosheng Fang
- Department of Hematology and Oncology, Shandong Cancer Hospital, Shandong, China
| | - Jianyong Li
- Department of Hematology and Oncology, Jiangsu Province Hospital, Nanjing University, Nanjing, China
| | - Ruifang Sun
- Department of Pathology, Shanxi Cancer Hospital, Shanxi, China
| | - Hanjin Yang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhaoming Wang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wenbian Qian
- Department of Hematology and Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zijun Y Xu-Monette
- Division of Hematopathology and Department of Pathology, Duke University Medical Center, Durham, NC, USA
| | - Ken H Young
- Division of Hematopathology and Department of Pathology, Duke University Medical Center, Durham, NC, USA.,Duke University Cancer Center, Durham, NC, USA
| | - Li Yu
- Department of Hematology and Oncology, The Second Affiliated Hospital of NanChang University, Nanchang, China
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11
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Jie XX, Zhang M, Du M, Cai QQ, Cong Q, Xu CJ, Zhang XY. Detection of circulating tumor cells and evaluation of epithelial-mesenchymal transition patterns of circulating tumor cells in ovarian cancer. Transl Cancer Res 2022; 11:2636-2646. [PMID: 36093536 PMCID: PMC9459537 DOI: 10.21037/tcr-22-529] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/07/2022] [Indexed: 11/17/2022]
Abstract
Background Circulating tumor cells (CTCs) have considered to be promising liquid biopsy in cancer due to the intact information of whole cells and the potential to reflect micrometastasis. However, CTCs research are extremely limited in ovarian cancer, probably due to their rarity. The predictive value of CTCs and circulating tumor microemboli (CTM) in metastasis remains to be elucidated in ovarian cancer. This study tried to identify CTCs/CTM in ovarian cancer with considerably positive rate. To preliminarily identify the invasive capacity of CTCs/CTM, the epithelial-mesenchymal transition (EMT) patterns of CTCs/CTM was evaluated. Moreover, for comprehensive understanding of invasiveness of disseminated cells in ovarian cancer, EMT pattern of exfoliated tumor cells in ascites were also confirmed in this study. Methods Peripheral blood samples and ascites samples were collected from 22 ovarian cancer patients. The Microfiltration combined with morphological analysis was used to detect CTC single cells or cell clusters. Microfiltration combined with morphological analysis was applied in the CTC isolation and identification. EMT was evaluated by immunofluorescence via markers including vimentin and cytokeratin. Results Microfiltration combined with morphological analysis was introduced to detect CTCs/CTM with a positivity rate of 40.9% in ovarian cancer patients. The number of CTC varied from 1 to 8, with CTM number from 4 to 30. CTCs/CTM of all samples have experienced EMT process. Vimentin was expressed in all CTC samples and all tumor cells in ascites, while cytokeratin was expressed in 44.4% (4/9) of CTC samples. There were no significant differences of the clinical parameters between the CTC-positive and CTC-negative patients. Conclusions This study showed that both CTCs/CTM and detached tumor cells in ascites might have undergone complete or partial EMT in ovarian cancer. Moreover, microfiltration combined with cytomorphological analysis showed a considerable CTC detection rate.
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Affiliation(s)
- Xiao-Xiang Jie
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Meng Zhang
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Ming Du
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Qing-Qing Cai
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai, China
| | - Qing Cong
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Cong-Jian Xu
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai, China
| | - Xiao-Yan Zhang
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai, China
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Lim JQ, Huang D, Chan JY, Laurensia Y, Wong EKY, Cheah DMZ, Chia BKH, Chuang WY, Kuo MC, Su YJ, Cai QQ, Feng Y, Rao H, Feng LN, Wei PP, Chen JR, Han BW, Lin GW, Cai J, Fang Y, Tan J, Hong H, Liu Y, Zhang F, Li W, Poon MLM, Ng SB, Jeyasekharan A, Ha JCH, Khoo LP, Chin ST, Pang WL, Kee R, Cheng CL, Grigoropoulos NF, Tang T, Tao M, Farid M, Puan KJ, Xiong J, Zhao WL, Khor CC, Hwang W, Kim WS, Campo E, Tan P, Teh BT, Chng WJ, Rötzschke O, Tousseyn T, Huang HQ, Rozen S, Lim ST, Shih LY, Bei JX, Ong CK. A genomic-augmented multivariate prognostic model for the survival of Natural-killer/T-cell lymphoma patients from an international cohort. Am J Hematol 2022; 97:1159-1169. [PMID: 35726449 DOI: 10.1002/ajh.26636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 05/17/2022] [Accepted: 06/16/2022] [Indexed: 11/09/2022]
Abstract
With lowering costs of sequencing and genetic profiling techniques, genetic drivers can now be detected readily in tumors but current prognostic models for Natural-killer/T cell lymphoma (NKTCL) have yet to fully leverage on them for prognosticating patients. Here, we used next-generation sequencing to sequence 260 NKTCL tumors, and trained a genomic prognostic model (GPM) with the genomic mutations and survival data from this retrospective cohort of patients using LASSO Cox regression. The GPM is defined by the mutational status of 13 prognostic genes and is weakly correlated with the risk-features in International Prognostic Index (IPI), Prognostic Index for Natural-Killer cell lymphoma (PINK) and PINK-Epstein-Barr virus (PINK-E). Cox-proportional hazard multivariate regression also showed that the new GPM is independent and significant for both progression-free survival (PFS, HR: 3.73, 95% CI 2.07-6.73; P<0.001) and overall survival (OS, HR: 5.23, 95% CI 2.57-10.65; P=0.001) with known risk-features of these indices. When we assign an additional risk-score to samples, which are mutant for the GPM, the Harrell's C-indices of GPM-augmented IPI, PINK and PINK-E improved significantly (P<0.001, χ2 test) for both PFS and OS. Thus, we report on how genomic mutational information could steer towards better prognostication of NKTCL patients. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jing Quan Lim
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore.,ONCO-ACP, Duke-NUS Medical School, 8 College Road, Singapore
| | - Dachuan Huang
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore.,ONCO-ACP, Duke-NUS Medical School, 8 College Road, Singapore
| | - Jason Yongsheng Chan
- Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Yurike Laurensia
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Esther Kam Yin Wong
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Daryl Ming Zhe Cheah
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Burton Kuan Hui Chia
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Wen-Yu Chuang
- Department of Anatomic Pathology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.,Chang Gung University, Taoyuan, Taiwan
| | - Ming-Chung Kuo
- Chang Gung University, Taoyuan, Taiwan.,Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Yi-Jiun Su
- Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yanfen Feng
- Guangdong Provincial People's Hospital.,Guangdong Academy of Medical Sciences
| | - Huilan Rao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li-Na Feng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Pan-Pan Wei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jie-Rong Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Bo-Wei Han
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Guo-Wang Lin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jun Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yu Fang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jing Tan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore.,Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Huangming Hong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yanhui Liu
- Guangdong Provincial People's Hospital.,Guangdong Academy of Medical Sciences
| | - Fen Zhang
- Guangdong Provincial People's Hospital.,Guangdong Academy of Medical Sciences
| | - Wenyu Li
- Guangdong Provincial People's Hospital.,Guangdong Academy of Medical Sciences
| | - Michelle L M Poon
- Department of Haematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore
| | - Siok-Bian Ng
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Anand Jeyasekharan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Haematology-Oncology, National University Health System, Singapore
| | - Jeslin Chian Hung Ha
- Lymphoma Genomic Translational Research Laboratory, Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Lay Poh Khoo
- Lymphoma Genomic Translational Research Laboratory, Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Suk Teng Chin
- Lymphoma Genomic Translational Research Laboratory, Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Wan Lu Pang
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Rebecca Kee
- Lymphoma Genomic Translational Research Laboratory, Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Chee Leong Cheng
- Department of Pathology, Singapore General Hospital, 20 College Road, Academia, Singapore
| | | | - Tiffany Tang
- ONCO-ACP, Duke-NUS Medical School, 8 College Road, Singapore
| | - Miriam Tao
- Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Mohamad Farid
- Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Kia Joo Puan
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), 8A Biomedical Grove, Singapore, Singapore
| | - Jie Xiong
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei-Li Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chiea Chuen Khor
- Genome Institute of Singapore, 60 Biopolis Street Genome, Singapore
| | - William Hwang
- Director's office, National Cancer Centre, Singapore
| | - Won Seog Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
| | - Elias Campo
- Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, Barcelona, Spain
| | - Patrick Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Genome Institute of Singapore, 60 Biopolis Street Genome, Singapore.,Division of Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore
| | - Bin Tean Teh
- Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Division of Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore
| | - Wee-Joo Chng
- Department of Haematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Olaf Rötzschke
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), 8A Biomedical Grove, Sinagpore, Singapore
| | - Thomas Tousseyn
- KU Leuven, Department of Imaging and Pathology, Translational Cell and Tissue Research Lab, Herestraat 49, Leuven, Belgium.,UZ Leuven, Department of Pathology, Leuven, Belgium
| | - Hui-Qiang Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Steve Rozen
- Division of Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore.,Centre for Computational Biology, Duke-NUS Medical School, 8 College Road, Singapore
| | - Soon Thye Lim
- Director's office, National Cancer Centre, Singapore.,Office of Education, Duke-NUS Medical School, Singapore
| | - Lee-Yung Shih
- Chang Gung University, Taoyuan, Taiwan.,Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Jin-Xin Bei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Choon Kiat Ong
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore.,Genome Institute of Singapore, 60 Biopolis Street Genome, Singapore.,Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, 8 College Road, Singapore
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13
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Osté MCJ, Duan MJ, Gomes-Neto AW, Vinke PC, Carrero JJ, Avesani C, Cai Q, Dekker LH, Navis GJ, Bakker SJL, Corpeleijn E. Ultra-processed foods and risk of all-cause mortality in renal transplant recipients. Am J Clin Nutr 2022; 115:1646-1657. [PMID: 35470855 PMCID: PMC9170470 DOI: 10.1093/ajcn/nqac053] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 02/24/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Renal transplant recipients (RTRs) have a 6-fold higher risk of mortality than age- and sex-matched controls. Whether high consumption of ultra-processed foods is associated with survival in RTRs is unknown. OBJECTIVES We aimed to study the association between high consumption of ultra-processed foods and all-cause mortality in stable RTRs. METHODS We conducted a prospective cohort study in adult RTRs with a stable graft. Dietary intake was assessed using a validated 177-item FFQ. Food items were categorized according to the NOVA classification system and the proportion ultra-processed foods comprised of total food weight per day was calculated. RESULTS We included 632 stable RTRs (mean ± SD age: 53.0 ± 12.7 y, 57% men). Mean ± SD consumption of ultra-processed foods was 721 ± 341 g/d (28% of total weight of food intake), whereas the intake of unprocessed and minimally processed foods, processed culinary ingredients, and processed foods accounted for 57%, 1%, and 14%, respectively. During median follow-up of 5.4 y [IQR: 4.9-6.0 y], 129 (20%) RTRs died. In Cox regression analyses, ultra-processed foods were associated with all-cause mortality (HR per doubling of percentage of total weight: 2.13; 95% CI: 1.46, 3.10; P < 0.001), independently of potential confounders. This association was independent from the quality of the overall dietary pattern, expressed by the Mediterranean Diet Score (MDS) or Dietary Approaches to Stop Hypertension (DASH) score. When analyzing ultra-processed foods by groups, only sugar-sweetened beverages (HR: 1.21; 95% CI: 1.05, 1.39; P = 0.007), desserts (HR: 1.24; 95% CI: 1.02, 1.49; P = 0.03), and processed meats (HR: 1.87; 95% CI: 1.22, 2.86; P = 0.004) were associated with all-cause mortality. CONCLUSIONS Consumption of ultra-processed foods, in particular sugar-sweetened beverages, desserts, and processed meats, is associated with a higher risk of all-cause mortality after renal transplantation, independently of low adherence to high-quality dietary patterns, such as the Mediterranean diet and the DASH diet.This trial was registered at clinicaltrials.gov as NCT02811835.
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Affiliation(s)
| | - Ming-Jie Duan
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Antonio W Gomes-Neto
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Petra C Vinke
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Juan-Jesus Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Carla Avesani
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - QingQing Cai
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Louise H Dekker
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Gerjan J Navis
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Stephan J L Bakker
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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14
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Jothinathan L, Cai QQ, Ong SL, Hu JY. Fe-Mn doped powdered activated carbon pellet as ozone catalyst for cost-effective phenolic wastewater treatment: Mechanism studies and phenol by-products elimination. J Hazard Mater 2022; 424:127483. [PMID: 34673392 DOI: 10.1016/j.jhazmat.2021.127483] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 09/09/2021] [Accepted: 09/18/2021] [Indexed: 06/13/2023]
Abstract
A novel bimetallic doped PAC (Fe-Mn/PAC) pellet was prepared with a facile sol-gel method and used as an ozone catalyst for phenolic wastewater (PWW) treatment. Adoption of Fe-Mn/PAC pellet in microbubble ozonation enhanced the 1-h chemical oxygen demand (COD) and phenol removal in PWW to 79% and 95%, respectively. With ozone dosage of 10 mg/L, 1 g/L Fe-Mn/PAC pellet exhibited ozone conversion of 92%. In comparison to microbubble ozonation process, Fe-Mn/PAC induced microbubble-catalytic ozonation process promoted ozone decomposition rate by 1.9 times. In terms of •OH production, Fe-Mn/PAC pellet enhanced •OH exposure by 10 times, with a Rct value of 2.92 × 10 -8. Rct kinetic model also suggested that Fe-Mn/PAC pellet obtained higher kinetic rate constants for initiating and promoting •OH generation. Usage of Fe-Mn/PAC pellet in microbubble ozonation for phenolic wastewater treatment also reduced the total ozone consumption by 70%. In Fe-Mn/PAC induced microbubble-catalytic ozonation process, the ratio between ozone consumption and COD removal (ΔO3/ΔCOD) was 0.91. Fe-Mn/PAC pellet characterization with X-ray photoelectron spectroscopy (XPS), Fourier-transform infrared (FT-IR) and X-ray powder diffraction (XRD) analysis revealed successful doping of Fe-Mn on PAC substrate and larger numbers of carbon-oxygen/hydroxyl surface groups, which played key roles in ozone decomposition and •OH production.
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Affiliation(s)
- L Jothinathan
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore.; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - Q Q Cai
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore.; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - S L Ong
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore.; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - J Y Hu
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore.; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore..
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15
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Loh WH, Cai QQ, Li R, Jothinathan L, Lee BCY, Ng OH, Guo J, Ong SL, Hu JY. Reverse osmosis concentrate treatment by microbubble ozonation-biological activated carbon process: Organics removal performance and environmental impact assessment. Sci Total Environ 2021; 798:149289. [PMID: 34340085 DOI: 10.1016/j.scitotenv.2021.149289] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Revised: 07/22/2021] [Accepted: 07/23/2021] [Indexed: 06/13/2023]
Abstract
Reverse osmosis (RO) is being used in many water reclamation facilities to produce high quality water that can be reused for different purposes. As a part of the RO process, a reject stream is produced as the reverse osmosis concentrate (ROC), which contains elevated levels of contaminants compared to the source water. Effective treatment and safe disposal of ROC via cost-effective means is very challenging. This study aims to develop a robust microbubble ozonation-biological process for industrial ROC treatment with a target effluent chemical oxygen demand (COD) lower than 60 mg/L. As compared to macrobubble ozonation, microbubble ozonation exhibited better ozone dissolution and 29% higher COD removal efficiency with the same ozone dosage. Under the optimum operating conditions with ozone dosage of 30 mg/L, ROC natural pH of 8.67 and ozonation duration of 1 h, microbubble ozonation achieved 42% COD removal efficiency while increasing the BOD5/COD ratio (ratio of biological oxygen demand over 5 days to the corresponding chemical oxygen demand) in ROC from 0.042 to 0.216. A biological activated carbon (BAC) column with an empty bed contact time (EBCT) of 120 min was combined with microbubble ozonation for continuous ROC treatment. Over the 100-day operation, the combined system performed consistent organics removal with an average effluent COD of 45 mg/L. Both LC-OCD data and fluorescence EEM spectra confirmed humic substances were the dominant organic species in ROC. Ozone pre-treatment could achieve significant removal of humic substances in raw ROC. ATP analysis found that ozone pre-treatment enhanced BAC biofilm activity by around 5 folds. 5 min acute toxicity assessment with Aliivibrio fischeri showed 4 times reduction of bioluminescence inhibition in ozone treated ROC. From the environmental point of view, Life cycle assessment (LCA) results demonstrated that Ozone-BAC system had significant environmental burdens on climate change and human toxicity due to the electricity production process. These environmental impacts can be mitigated by optimizing the ozonation process with reduced ozone dosage or utilizing renewable energy sources for electricity generation.
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Affiliation(s)
- W H Loh
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - Q Q Cai
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - R Li
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - L Jothinathan
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - B C Y Lee
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - O H Ng
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore
| | - J Guo
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore
| | - S L Ong
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - J Y Hu
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore.
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16
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Zhu T, Cai QQ, Yu J, Liang XS. Metagenomic next-generation sequencing (mNGS) confirmed a critical case of severe fever with thrombocytopenia syndrome virus (SFTSV). Clin Chem Lab Med 2021; 60:e42-e45. [PMID: 34674414 DOI: 10.1515/cclm-2021-0791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 09/16/2021] [Indexed: 11/15/2022]
Affiliation(s)
- Tong Zhu
- Department of Infectious Disease, Shanghai Changhai Hospital, Navi Medical University, Shanghai, P.R. China
| | - Qing-Qing Cai
- Genoxor Medical Science and Technology Inc., Shanghai, P.R. China
| | - Jiao Yu
- Department of Infectious Disease, Shanghai Changhai Hospital, Navi Medical University, Shanghai, P.R. China
| | - Xue-Song Liang
- Department of Infectious Disease, Shanghai Changhai Hospital, Navi Medical University, Shanghai, P.R. China
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17
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Zhang YC, Wang JN, Ma SY, Cai J, Su N, Huang HQ, Li ZM, Xia ZJ, Huang H, Liu PP, Xia Y, Cai QQ. Combination of PD-1 inhibitor with GVD (gemcitabine, vinorelbine, liposomal doxorubicin) versus GVD regimen as second-line therapy for relapsed/refractory classical Hodgkin lymphoma. Br J Haematol 2021; 196:127-135. [PMID: 34618912 DOI: 10.1111/bjh.17849] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 08/29/2021] [Accepted: 09/09/2021] [Indexed: 11/27/2022]
Abstract
Patients with classical Hodgkin lymphoma (cHL) who do not achieve complete remission (CR) after second-line chemotherapy have poor clinical outcomes. Besides, conventional salvage chemotherapy regimens have an unsatisfactory CR rate. The present retrospective study reports the efficacy and toxicity of the GVD (gemcitabine, vinorelbine, liposomal doxorubicin) regimen with or without programmed cell death 1 (PD-1) inhibitor for patients with cHL who failed first-line treatment. A total of 103 patients with cHL (GVD+PD-1 group, n = 27; GVD group, n = 76) with response assessment based on positron emission tomography were included. The GVD+PD-1 group tended to have a higher CR rate than GVD group (85·2% vs. 65·8%, P = 0·057) and had a better event-free survival (EFS) (P = 0·034). Subgroup analysis showed that patients with low-risk second-line International Prognostic Score might benefit from the addition of PD-1 inhibitor (GVD+PD-1 vs. GVD, 100·0% vs. 64·7%, P = 0·028) and had better EFS than GVD alone (P = 0·016). Further analysis demonstrated that PD-1 consolidation therapy might provide an EFS benefit (P = 0·007). The toxicity of the GVD+PD-1 regimen was comparable to the GVD regimen, except for higher rates of hypothyroidism and autoimmune pneumonitis, which were manageable. In conclusion, combining a PD-1 inhibitor with a GVD regimen could be a potentially effective second-line therapy for patients with cHL.
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Affiliation(s)
- Yu-Chen Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Jin-Ni Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Shu-Yun Ma
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Jun Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Ning Su
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Hui-Qiang Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Zhi-Ming Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Zhong-Jun Xia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Hematologic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - He Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Pan-Pan Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Yi Xia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
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18
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He HX, Gao Y, Bai B, Wang XX, Li JB, Huang C, Mao JY, Ping LQ, Rong QX, He YX, Huang H, Cai QQ, Li ZM, Jiang WQ, Huang HQ. The beneficial effect of Escalated-R-CHOP-21 for the treatment of diffuse large B-cell lymphoma in elderly male patients: A propensity-matched cohort study. Cancer Med 2021; 10:7650-7664. [PMID: 34581023 PMCID: PMC8559475 DOI: 10.1002/cam4.4296] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 08/09/2021] [Accepted: 09/07/2021] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Some studies have indicated that using 500 mg/m2 rituximab combined with CHOP-14 may be beneficial for elderly men but not women with diffuse large B-cell lymphoma (DLBCL). The purpose of this study was to investigate the potential benefit of escalated doses of rituximab with CHOP-21 as the first-line treatment in male patients with DLBCL. METHODS We performed a retrospective cohort study to analyze the survival benefit of rituximab 500 mg/m2 plus the CHOP-21 regimen (Escalated-R-CHOP-21) as the first-line treatment compared with using rituximab 375 mg/m2 plus the CHOP-21 regimen (Standard-R-CHOP-21) in men with DLBCL. We used propensity score matching to maximize the balance of the observed covariables. The primary endpoints of this study were the progression-free survival (PFS) rate and overall survival (OS) rate at 3 years. RESULTS After a median follow-up of 47 months (IQR 31-65), no significant difference in PFS and OS was found for men treated with Escalated-R-CHOP-21 compared with Standard-R-CHOP-21 [3-year PFS: 69.7% versus 71.9%, p = 0.867; 3-year OS: 83.0% versus 82.4%, p = 0.660]. After 1:1 propensity score matching, we found that the patients using Escalated-R-CHOP-21 had statistically significant survival benefits relative to Standard-R-CHOP-21 among the 96 matched elderly male patients for 3-year PFS [75.5% (95% CI 62.8-88.2) versus 58.2% (95% CI 44.3-72.1); p = 0.019] and 3-year OS [86.6% (95% CI 76.4-96.8) versus 65.8% (95% CI 52.1-79.5); p = 0.017]. However, no differences in survival were observed for younger male patients. Furthermore, the dose effect in PFS of Escalated-R-CHOP-21 was more obvious for elderly male patients with no high-risk extranodal sites (p = 0.005 and interaction p = 0.030). CONCLUSION Escalated-R-CHOP-21 could be a safe and effective option for treating elderly male patients with DLBCL. This study provides new insight into optimizing the standard treatment regimen, which may have important therapeutic implications in elderly male patients with DLBCL.
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Affiliation(s)
- Hai-Xia He
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yan Gao
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Bing Bai
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiao-Xiao Wang
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ji-Bin Li
- Department of Clinical Research, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Cheng Huang
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jia-Ying Mao
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li-Qin Ping
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Qi-Xiang Rong
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yan-Xia He
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - He Huang
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zhi-Ming Li
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wen-Qi Jiang
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hui-Qiang Huang
- State Key Laboratory of Oncology in South China & Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
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19
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Wu MY, Cai QQ, Xu HP, Ong SL, Hu JY. Simulation of FBR-Fenton/GAC process for recalcitrant industrial wastewater treatment with a computational fluid dynamics-kinetic model framework. Water Res 2021; 203:117504. [PMID: 34388501 DOI: 10.1016/j.watres.2021.117504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/04/2021] [Accepted: 07/27/2021] [Indexed: 06/13/2023]
Abstract
An integrated computational fluid dynamics (CFD)-kinetic model framework was developed to numerically describe the hydrodynamic and kinetic phenomena in a liquid-solid two phases Fluidized-bed reactor Fenton/granular activated carbon (FBR-Fenton/GAC) system. The model obtained excellent accuracy for predicting chemical oxygen demand (COD) removal in reverse osmosis concentrate (ROC) treatment under different operation conditions. Hydrodynamic evaluation demonstrated that under the quasi-steady state, the GAC particles were uniformly circulated in the bed region with two pairs of counter-rotating recirculation cells, and a clear interface layer formed between the solid and the liquid phases. Superficial liquid velocity highly affected the fluidized bed expansion and solid volume fraction, while its impact on the overall COD removal efficiency was negligible. Chemical evaluation revealed that GAC/H2O2 catalytic reaction enhanced the •OH production in FBR-Fenton/GAC process by 2.7 folds as compared to homogenous Fenton process. Fenton reaction mainly occurred in the upper liquid region and its kinetics for •OH generation significantly diminished by 75% within the first 10 min. GAC/H2O2 reaction took place in the fluidized bed region for continuous •OH generation with a relatively stable rate from 1.21 × 10-6 to 0.60 × 10-6 M/s. Along the ROC treatment with FBR-Fenton/GAC process, the simulated COD degradation rate decreased along the reaction time with 2.05 × 10-6 M/s and 2.93 × 10-7 M/s at 2 min and 60 min, respectively. Faster COD removal was attained in the fluidized bed region due to combining effects of •OH oxidation and GAC adsorption. The overall predicted COD concentration reduced from 122 to 35 mg/L, •OH oxidation and GAC adsorption contributed 59% and 41%, respectively, to the total COD removal.
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Affiliation(s)
- M Y Wu
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, Singapore 117576; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, Singapore 117576
| | - Q Q Cai
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, Singapore 117576; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, Singapore 117576
| | - H P Xu
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, Singapore 117576; Department of Mechanical Engineering, Faculty of Engineering, National University of Singapore, Block EA, #07-08, 9 Engineering Drive 1, Singapore 117575
| | - S L Ong
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, Singapore 117576; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, Singapore 117576
| | - J Y Hu
- National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, Singapore 117576; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, Singapore 117576.
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20
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Ma SY, Tian XP, Cai J, Su N, Fang Y, Zhang YC, Wang JN, Peter Gale R, Cai QQ. A prognostic immune risk score for diffuse large B-cell lymphoma. Br J Haematol 2021; 194:111-119. [PMID: 33942291 DOI: 10.1111/bjh.17478] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/17/2021] [Accepted: 03/22/2021] [Indexed: 11/28/2022]
Abstract
We constructed a prognostic score for persons with diffuse large B-cell lymphoma (DLBCL) based on infiltrating immune cells. Data of 956 consecutive subjects were retrieved from the Gene Expression Omnibus database and assigned to training (GSE10846, n = 305) or validation (GSE87371 n = 206 and GSE117556 n = 445 combined) cohorts. Proportions of non-lymphoma cells in the sample were inferred using the ESTIMATE algorithm. An immune risk score was constructed comprised of eight types of non-lymphoma immune cells calculated using the CIBERSORT algorithm. Five-year survival of subjects with an immune risk score ≤ 0·45 in the training cohort was better than that of subjects with a score > 0·45 (hazard ratio [HR] = 3·99; 95% confidence interval [CI] = 2·74, 5·82; P < 0·001). HR in the validation cohort was HR = 2·17 (1·47, 3·21; P < 0·001). Enrichment analyses indicated correlations with genes controlling immune-related biological processes and pathways. A nomogram comprised of the immune risk score and most covariates including age, lactate dehydrogenase concentration (LDH), lymphoma-type (germinal centre B cell [GCB] versus non-GCB), Eastern Cooperative Oncology Group performance status (ECOG-PS) and rituximab therapy had a C-statistic of 0·76 compared with C-statistics of 0·69 and 0·69 for the International Prognostic Index (IPI) and Revised International Prognostic Index (R-IPI). These data indicate the immune risk score is an accurate, independent survival predictor in persons with DLBCL.
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Affiliation(s)
- Shu-Yun Ma
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Xiao-Peng Tian
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Jun Cai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Ning Su
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Yu Fang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Yu-Chen Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Jin-Ni Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Robert Peter Gale
- Department of Immunology and Inflammation, Centre of Haematology, Imperial College London, London, UK
| | - Qing-Qing Cai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
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21
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Tian XP, Wang CY, Jin XH, Li M, Wang FW, Huang WJ, Yun JP, Xu RH, Cai QQ, Xie D. Erratum: Acidic Microenvironment Up-Regulates Exosomal miR-21 and miR-10b in Early-Stage Hepatocellular Carcinoma to Promote Cancer Cell Proliferation and Metastasis: Erratum. Theranostics 2021; 11:6522-6523. [PMID: 33995672 PMCID: PMC8120223 DOI: 10.7150/thno.60140] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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22
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Cai QQ, Lee BCY, Ong SL, Hu JY. Fluidized-bed Fenton technologies for recalcitrant industrial wastewater treatment-Recent advances, challenges and perspective. Water Res 2021; 190:116692. [PMID: 33279748 DOI: 10.1016/j.watres.2020.116692] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 11/21/2020] [Accepted: 11/26/2020] [Indexed: 06/12/2023]
Abstract
In recent years, fluidized-bed Fenton (FBR-Fenton) process has gained more attention in treating recalcitrant industrial wastewater. FBR-Fenton combines the effectiveness of homogeneous Fenton and sludge reduction of heterogeneous Fenton. Comparing to other modified Fenton processes, FBR-Fenton has greater economical and scaling up potential. However, large consumption of Fenton reagents and strict pH control are still the bottlenecks hampering the full-scale application of FBR-Fenton. While prior reviews mainly focused on the operation and performance of FBR-Fenton process, the present study critically discussed the challenges and bottlenecks for its full-scale industrial application. This study also comprehensively reviewed the development strategies for tackling these drawbacks, mainly over the recent five years. Homogeneous FBR-Fenton, heterogeneous FBR-Fenton and heterogeneous FBR-photo-Fenton processes were classified for the first time according to their reaction mechanisms and system designs. Important operational and design parameters affecting the cost-effectiveness of all FBR-Fenton technologies were reviewed, including the fundamentals, common practices and even innovative steps for enhancing the process performance. Up-to-date applications of FBR-Fenton technologies in recalcitrant wastewater/compounds treatment were also summarized, and it was found that upscaling of heterogeneous FBR-Fenton and heterogeneous FBR-photo-Fenton processes was still very challenging. Strategies to overcome the key technical limitations and enhance process cost-effectiveness were discussed in the future perspective part. Furthermore, modelling techniques such as computational fluid dynamics model and artificial neural network were suggested to be promising modelling techniques for speeding up the full-scale applications of FBR-Fenton technologies.
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Affiliation(s)
- Q Q Cai
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2 117576, Singapore
| | - B C Y Lee
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2 117576, Singapore
| | - S L Ong
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2 117576, Singapore
| | - J Y Hu
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2 117576, Singapore.
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23
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Jothinathan L, Cai QQ, Ong SL, Hu JY. Organics removal in high strength petrochemical wastewater with combined microbubble-catalytic ozonation process. Chemosphere 2021; 263:127980. [PMID: 33297029 DOI: 10.1016/j.chemosphere.2020.127980] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 08/07/2020] [Accepted: 08/08/2020] [Indexed: 06/12/2023]
Abstract
Ozonation is a well-known and widely applied advanced oxidation process (AOP) for industrial wastewater treatment, while the ozonation efficiency might be limited by low mass transfer, poor solubility, and rapid decomposition rate of ozone molecules in the aqueous phase. The present study aims to investigate the feasibility of combined microbubble-catalytic ozonation process (M-O3/Fe/GAC) for improving the ozonation efficiency during treatment of petrochemical wastewater (PCW). M-O3/Fe/GAC process optimization was carried out with different pH conditions, ozone dosages and catalyst loadings. The optimum operating conditions were identified as 50 mg L-1 ozone dosage, real PCW pH (7.0-7.5) and 4 g L-1 catalyst loading. Among different ozonation processes, M-O3/Fe/GAC process achieved the highest chemical oxidation demand (COD) removal efficiency of 88%, which is 18% and 43% higher than those achieved by the microbubble and macrobubble ozonation processes, respectively. Phenolic compounds presented in PCW could be reduced by 63% within 15 min in M-O3/Fe/GAC treatment process. Long-term continuous flow studies suggested M-O3/Fe/GAC process to be the most cost-effective technology for PCW treatment with an operating cost of S$0.18 kg-1 COD and S$0.4 m-3 with good catalyst stability. Liquid size exclusion chromatography with organic carbon detection (LC-OCD) data suggested humic substances to be the dominant organic species in PCW, M-O3/Fe/GAC could achieve significant humic substances removal and biodegradability enhancement in PCW. Kinetics and mechanism studies revealed that organics removal in M-O3/Fe/GAC was 1.8 times higher than that in microbubble ozonation process, and hydroxyl radical (●OH) was the dominant oxidant specie for organics removal in M-O3/Fe/GAC process.
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Affiliation(s)
- L Jothinathan
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory C/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - Q Q Cai
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory C/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - S L Ong
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory C/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - J Y Hu
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory C/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore.
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24
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Guo X, Zhang J, Cai Q, Fan S, Xu Q, Zang J, Yang H, Yu W, Li Z, Zhang Z. Acetic acid transporter-mediated, oral, multifunctional polymer liposomes for oral delivery of docetaxel. Colloids Surf B Biointerfaces 2020; 198:111499. [PMID: 33317899 DOI: 10.1016/j.colsurfb.2020.111499] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 11/24/2020] [Accepted: 11/26/2020] [Indexed: 12/22/2022]
Abstract
Nanoparticle-structuring aimed at the acetic acid (A) transporter on intestinal epithelial cells and tumor cells is a new potential strategy to enhance oral bioavailability and anti-tumor efficacy. In this study, chitosan (CS) was modified with hydrophilic A and hydrophobic lipoic acid (L), to produce ACSL. A novel ACSL-modified multifunctional liposomes (Lip) loaded with docetaxel (DTX; DTX-ACSL-Lip) was then prepared and characterized. DTX-ACSL-Lip recorded higher pH sensitivity and slower release than DTX-Lip and showed dithiothreitol (DTT) response release. DTX-ACSL-Lip uptake by Caco-2 cells was also significantly enhanced mainly viaA transporters compared with DTX-Lip. ACSL modification of DTX-Lip also improved oral bioavailability by 10.70-folds, with a 3.45-fold increase in Cmax and a 1.19-fold prolongation in retention time of DTX in the blood. Moreover, the grafting degree of A significantly affected cell uptake and oral bioavailability. They also showed a significant (1.33-fold) increase in drug intratumoral distribution, as well as an increase in tumor growth inhibition rate from 54.34% to 87.51% without weight loss, compared with DTX-Lip. Therefore, modification of DTX-Lip with ACSL can significantly enhance the oral bioavailability and anti-tumor efficacy of DTX without obvious toxicity, confirming the potential of the dual strategy of targeting A transporter and controlled drug release in tumor cells in oral therapy of tumor.
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Affiliation(s)
- XinHong Guo
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China; Henan Key Laboratory of Targeted Therapy and Diagnosis of Tumor and Major Diseases, Henan Province, Zhengzhou, 450001, China
| | - JunYa Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - QingQing Cai
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - ShuTing Fan
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - QingQing Xu
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - JieYing Zang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - HuiTing Yang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - WenJuan Yu
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Zhi Li
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China; Henan Key Laboratory of Targeted Therapy and Diagnosis of Tumor and Major Diseases, Henan Province, Zhengzhou, 450001, China.
| | - ZhenZhong Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China; Henan Key Laboratory of Targeted Therapy and Diagnosis of Tumor and Major Diseases, Henan Province, Zhengzhou, 450001, China.
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25
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Cai QQ, Wu MY, Hu LM, Lee BCY, Ong SL, Wang P, Hu JY. Organics removal and in-situ granule activated carbon regeneration in FBR-Fenton/GAC process for reverse osmosis concentrate treatment. Water Res 2020; 183:116119. [PMID: 32663698 DOI: 10.1016/j.watres.2020.116119] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 06/22/2020] [Accepted: 06/25/2020] [Indexed: 06/11/2023]
Abstract
Fluidized bed reactor Fenton (FBR-Fenton) process was adopted for reverse osmosis concentrate (ROC) treatment with three types of carriers, including sand, zeolite and granular activated carbon (GAC). Adsorption studies demonstrated that GAC achieved the best adsorption performance (maximum COD removal of 78% in 15 h) among the three carriers, and the adsorption of ROC organic matters followed a two-stage adsorption model. Fenton oxidations were carried out in three fluidized beds after column saturation, and FBR-Fenton/GAC process achieved highest COD removal (72%) and most BOD5/COD ratio enhancement (from 0.03 to 0.3) in ROC. Long-term operation data demonstrated good performance stability of GAC as the carrier. In addition, GAC fluidized bed obtained highest total iron removal rate via iron crystallization process. Continuous in-situ GAC regeneration with more than 90% recoveries of surface area, pore volume and adsorption capacity were observed along the ROC treatment with FBR-Fenton/GAC process. Mechanism studies revealed that better COD removal performance in FBR-Fenton/GAC process was attributed to the combining effects of homogenous Fenton reaction, GAC adsorption and GAC/H2O2 catalytic reaction.
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Affiliation(s)
- Q Q Cai
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory C/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - M Y Wu
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory C/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - L M Hu
- Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore; State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Nangang District, Harbin, 150090, China
| | - B C Y Lee
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory C/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - S L Ong
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory C/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore
| | - P Wang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Nangang District, Harbin, 150090, China
| | - J Y Hu
- Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory C/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, 117576, Singapore; Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, 117576, Singapore.
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26
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Tian XP, Xie D, Huang WJ, Ma SY, Wang L, Liu YH, Zhang X, Huang HQ, Lin TY, Rao HL, Li M, Liu F, Zhang F, Zhong LY, Liang L, Lan XL, Li J, Liao B, Li ZH, Tang QL, Liang Q, Shao CK, Zhai QL, Cheng RF, Sun Q, Ru K, Gu X, Lin XN, Yi K, Shuang YR, Chen XD, Dong W, Sang W, Sun C, Liu H, Zhu ZG, Rao J, Guo QN, Zhou Y, Meng XL, Zhu Y, Hu CL, Jiang YR, Zhang Y, Gao HY, He WJ, Xia ZJ, Pan XY, Lan H, Li GW, Liu L, Bao HZ, Song LY, Kang TB, Cai QQ. A gene-expression-based signature predicts survival in adults with T-cell lymphoblastic lymphoma: a multicenter study. Leukemia 2020; 34:2392-2404. [PMID: 32080345 DOI: 10.1038/s41375-020-0757-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Revised: 01/10/2020] [Accepted: 02/10/2020] [Indexed: 12/21/2022]
Abstract
We aimed to establish a discriminative gene-expression-based classifier to predict survival outcomes of T-cell lymphoblastic lymphoma (T-LBL) patients. After exploring global gene-expression profiles of progressive (n = 22) vs. progression-free (n = 28) T-LBL patients, 43 differentially expressed mRNAs were identified. Then an eleven-gene-based classifier was established using LASSO Cox regression based on NanoString quantification. In the training cohort (n = 169), high-risk patients stratified using the classifier had significantly lower progression-free survival (PFS: hazards ratio 4.123, 95% CI 2.565-6.628; p < 0.001), disease-free survival (DFS: HR 3.148, 95% CI 1.857-5.339; p < 0.001), and overall survival (OS: HR 3.790, 95% CI 2.237-6.423; p < 0.001) compared with low-risk patients. The prognostic accuracy of the classifier was validated in the internal testing (n = 84) and independent validation cohorts (n = 360). A prognostic nomogram consisting of five independent variables including the classifier, lactate dehydrogenase levels, ECOG-PS, central nervous system involvement, and NOTCH1/FBXW7 status showed significantly greater prognostic accuracy than each single variable alone. The addition of a five-miRNA-based signature further enhanced the accuracy of this nomogram. Furthermore, patients with a nomogram score ≥154.2 significantly benefited from the BFM protocol. In conclusion, our nomogram comprising the 11-gene-based classifier may make contributions to individual prognosis prediction and treatment decision-making.
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Affiliation(s)
- Xiao-Peng Tian
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, PR China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Dan Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Wei-Juan Huang
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, PR China
| | - Shu-Yun Ma
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, PR China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Liang Wang
- Department of Hematology, Zhujiang Hospital of Southern Medical University, Guangzhou, PR China
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Yan-Hui Liu
- Department of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, PR China
| | - Xi Zhang
- Department of Hematology, Xinqiao Hospital, Third Military Medical University, Chongqing, PR China
| | - Hui-Qiang Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Tong-Yu Lin
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Hui-Lan Rao
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Mei Li
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Fang Liu
- Department of Pathology, The First People's Hospital of Foshan, Foshan, PR China
| | - Fen Zhang
- Department of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, PR China
| | - Li-Ye Zhong
- Department of Hematology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, PR China
| | - Li Liang
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Xiao-Liang Lan
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Juan Li
- Department of Hematology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Bing Liao
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Zhi-Hua Li
- Department of Oncology, Sun-Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Qiong-Lan Tang
- Department of Oncology, Sun-Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Qiong Liang
- Department of Pathology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Chun-Kui Shao
- Department of Pathology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Qiong-Li Zhai
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, PR China
| | - Run-Fen Cheng
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, PR China
| | - Qi Sun
- Department of Pathology, Hematological Hospital of Chinese Academy of Medical Sciences, Tianjin, PR China
| | - Kun Ru
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, PR China
| | - Xia Gu
- Department of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Xi-Na Lin
- Department of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Kun Yi
- Department of Oncology, Jiangxi Provincial Cancer Hospital, Nanchang, PR China
| | - Yue-Rong Shuang
- Department of Hematology, Jiangxi Provincial Cancer Hospital, Nanchang, PR China
| | - Xiao-Dong Chen
- Department of Pathology, General Hospital of Guangzhou Military Command of PLA, Guangzhou, PR China
| | - Wei Dong
- Department of Hematology, Shunde Hospital of Southern Medical University, Shunde, PR China
| | - Wei Sang
- Department of Hematology, The First Affiliated Hospital of Xuzhou Medical University, Xuzhou, PR China
| | - Cai Sun
- Department of Pathology, The First Affiliated Hospital of Xuzhou Medical University, Xuzhou, PR China
| | - Hui Liu
- Department of Pathology, The First Affiliated Hospital of Xuzhou Medical University, Xuzhou, PR China
| | - Zhi-Gang Zhu
- Department of Hematology and Oncology, Guangzhou First People's Hospital, Guangzhou, PR China
| | - Jun Rao
- Department of Hematology, Xinqiao Hospital, Third Military Medical University, Chongqing, PR China
| | - Qiao-Nan Guo
- Department of Pathology, Xinqiao Hospital, Third Military Medical University, Chongqing, PR China
| | - Ying Zhou
- Department of Medical Oncology, Jiangmen Central Hospital, Jiangmen, PR China
| | - Xiang-Ling Meng
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, PR China
| | - Yong Zhu
- Department of Gastrointestinal Surgery, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, PR China
| | - Chang-Lu Hu
- Department of Medical Oncology, Anhui Provincial Cancer Hospital, Hefei, PR China
| | - Yi-Rong Jiang
- Department of Hematology, The First People's Hospital of Dongguan, Dongguan, PR China
| | - Ying Zhang
- Department of Oncology, Affiliated Hospital of Guangdong Medical University, Guangzhou, PR China
| | - Hong-Yi Gao
- Department of Pathology, Guangdong Province Hospital for Women and Children Health Care, Guangzhou, PR China
| | - Wen-Jun He
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, PR China
| | - Zhong-Jun Xia
- Department of Hematology, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Xue-Yi Pan
- Department of Hematology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, PR China
| | - Hai Lan
- Department of Hematology, Shunde Affiliated Hospital of Guangzhou University of Chinese Medicine, Shunde, PR China
| | - Guo-Wei Li
- Department of Hematology, Huizhou Municipal Central Hospital, Huizhou, PR China
| | - Lu Liu
- Department of Lymphoma And Hematology, Jilin Cancer Hospital, Changchun, PR China
| | - Hui-Zheng Bao
- Department of Lymphoma And Hematology, Jilin Cancer Hospital, Changchun, PR China
| | - Li-Yan Song
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, PR China
| | - Tie-Bang Kang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, PR China.
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, PR China.
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Tian XP, Su N, Wang L, Huang WJ, Liu YH, Zhang X, Huang HQ, Lin TY, Ma SY, Rao HL, Li M, Liu F, Zhang F, Zhong LY, Liang L, Lan XL, Li J, Liao B, Li ZH, Tang QL, Liang Q, Shao CK, Zhai QL, Cheng RF, Sun Q, Ru K, Gu X, Lin XN, Yi K, Shuang YR, Chen XD, Dong W, Sun C, Sang W, Liu H, Zhu ZG, Rao J, Guo QN, Zhou Y, Meng XL, Zhu Y, Hu CL, Jiang YR, Zhang Y, Gao HY, He WJ, Xia ZJ, Pan XY, Hai L, Li GW, Song LY, Kang TB, Xie D, Cai QQ. A CpG Methylation Classifier to Predict Relapse in Adults with T-Cell Lymphoblastic Lymphoma. Clin Cancer Res 2020; 26:3760-3770. [PMID: 32234760 DOI: 10.1158/1078-0432.ccr-19-4207] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Revised: 02/17/2020] [Accepted: 03/26/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE Adults with T-cell lymphoblastic lymphoma (T-LBL) generally benefit from treatment with acute lymphoblastic leukemia (ALL)-like regimens, but approximately 40% will relapse after such treatment. We evaluated the value of CpG methylation in predicting relapse for adults with T-LBL treated with ALL-like regimens. EXPERIMENTAL DESIGN A total of 549 adults with T-LBL from 27 medical centers were included in the analysis. Using the Illumina Methylation 850K Beadchip, 44 relapse-related CpGs were identified from 49 T-LBL samples by two algorithms: least absolute shrinkage and selector operation (LASSO) and support vector machine-recursive feature elimination (SVM-RFE). We built a four-CpG classifier using LASSO Cox regression based on association between the methylation level of CpGs and relapse-free survival in the training cohort (n = 160). The four-CpG classifier was validated in the internal testing cohort (n = 68) and independent validation cohort (n = 321). RESULTS The four-CpG-based classifier discriminated patients with T-LBL at high risk of relapse in the training cohort from those at low risk (P < 0.001). This classifier also showed good predictive value in the internal testing cohort (P < 0.001) and the independent validation cohort (P < 0.001). A nomogram incorporating five independent prognostic factors including the CpG-based classifier, lactate dehydrogenase levels, Eastern Cooperative Oncology Group performance status, central nervous system involvement, and NOTCH1/FBXW7 status showed a significantly higher predictive accuracy than each single variable. Stratification into different subgroups by the nomogram helped identify the subset of patients who most benefited from more intensive chemotherapy and/or sequential hematopoietic stem cell transplantation. CONCLUSIONS Our four-CpG-based classifier could predict disease relapse in patients with T-LBL, and could be used to guide treatment decision.
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Affiliation(s)
- Xiao-Peng Tian
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Ning Su
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Liang Wang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, P.R. China
| | - Wei-Juan Huang
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, P.R. China
| | - Yan-Hui Liu
- Department of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P.R. China
| | - Xi Zhang
- Department of Hematology, Xinqiao Hospital, Third Military Medical University, Chongqing, P.R. China
| | - Hui-Qiang Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Tong-Yu Lin
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Shu-Yun Ma
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Hui-Lan Rao
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Mei Li
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Fang Liu
- Department of Pathology, The First People's Hospital of Foshan, Foshan, P.R. China
| | - Fen Zhang
- Department of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P.R. China
| | - Li-Ye Zhong
- Department of Hematology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P.R. China
| | - Li Liang
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Xiao-Liang Lan
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Juan Li
- Department of Hematology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Bing Liao
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Zhi-Hua Li
- Department of Oncology, Sun-Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Qiong-Lan Tang
- Department of Oncology, Sun-Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Qiong Liang
- Department of Pathology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Chun-Kui Shao
- Department of Pathology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Qiong-Li Zhai
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P.R. China
| | - Run-Fen Cheng
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P.R. China
| | - Qi Sun
- Department of Pathology, Hematological Hospital of Chinese Academy of Medical Sciences, Tianjin, P.R. China
| | - Kun Ru
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P.R. China
| | - Xia Gu
- Department of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P.R. China
| | - Xi-Na Lin
- Department of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P.R. China
| | - Kun Yi
- Department of Oncology, Jiangxi Provincial Cancer Hospital, Nanchang, P.R. China
| | - Yue-Rong Shuang
- Department of Hematology, Jiangxi Provincial Cancer Hospital, Nanchang, P.R. China
| | - Xiao-Dong Chen
- Department of Pathology, General Hospital of Guangzhou Military Command of PLA, Guangzhou, P.R. China
| | - Wei Dong
- Department of Hematology, Shunde Hospital of Southern Medical University, Shunde, P.R. China
| | - Cai Sun
- Department of Pathology, The First Affiliated Hospital of Xuzhou Medical University, Xuzhou, P.R. China
| | - Wei Sang
- Department of Hematology, The First Affiliated Hospital of Xuzhou Medical University, Xuzhou, P.R. China
| | - Hui Liu
- Department of Pathology, The First Affiliated Hospital of Xuzhou Medical University, Xuzhou, P.R. China
| | - Zhi-Gang Zhu
- Department of Hematology and Oncology, Guangzhou First People's Hospital, Guangzhou, P.R. China
| | - Jun Rao
- Department of Hematology, Xinqiao Hospital, Third Military Medical University, Chongqing, P.R. China
| | - Qiao-Nan Guo
- Department of Pathology, Xinqiao Hospital, Third Military Medical University, Chongqing, P.R. China
| | - Ying Zhou
- Department of Medical Oncology, Jiangmen Central Hospital, Jiangmen, P.R. China
| | - Xiang-Ling Meng
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China
| | - Yong Zhu
- Department of Gastrointestinal Surgery, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, P.R. China
| | - Chang-Lu Hu
- Department of Medical? Oncology, Anhui Provincial Cancer Hospital, Hefei, P.R. China
| | - Yi-Rong Jiang
- Department of Hematology, The First People's Hospital of Dongguan, Dongguan, P.R. China
| | - Ying Zhang
- Department of Oncology, Affiliated Hospital of Guangdong Medical University, Guangzhou, P.R. China
| | - Hong-Yi Gao
- Department of Pathology, Guangdong Province Hospital for Women and Children Health Care, Guangzhou, P.R. China
| | - Wen-Jun He
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China
| | - Zhong-Jun Xia
- Department of Hematology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Xue-Yi Pan
- Department of Hematology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, P.R. China
| | - Lan Hai
- Department of Hematology, Shunde Affiliated Hospital of Guangzhou University of Chinese Medicine, Foshan, P.R. China
| | - Guo-Wei Li
- Department of Hematology, Huizhou Municipal Central Hospital, Huizhou, P.R. China
| | - Li-Yan Song
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, P.R. China
| | - Tie-Bang Kang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Dan Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
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Tian XP, Cai J, Ma SY, Fang Y, Huang HQ, Lin TY, Rao HL, Li M, Xia ZJ, Kang TB, Xie D, Cai QQ. BRD2 induces drug resistance through activation of the RasGRP1/Ras/ERK signaling pathway in adult T-cell lymphoblastic lymphoma. Cancer Commun (Lond) 2020; 40:245-259. [PMID: 32459053 PMCID: PMC7307265 DOI: 10.1002/cac2.12039] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/06/2020] [Accepted: 05/14/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Adult patients with T-cell lymphoblastic lymphoma (T-LBL) are treated with high-intensity chemotherapy regimens, but the response rate is still unsatisfactory because of frequent drug resistance. We aimed to investigate the potential mechanisms of drug resistance in adults with T-LBL. METHODS Gene expression microarray was used to identify differential mRNA expression profiles between chemotherapy-resistant and chemotherapy-sensitive adult T-LBL tissues. Real-time PCR and immunohistochemistry were performed to detect the expression of bromodomain-containing protein 2 (BRD2) and c-Myc in fresh-frozen T-LBL tissues from 85 adult patients. The Ras pull-down assay was performed to monitor Ras activation. Chromatin immunoprecipitation assays were used to analyze the binding of E2F transcription factor 1 (E2F1)/BRD2 to the RAS guanyl releasing protein 1 (RasGRP1) promoter region. The drug resistance effect and mechanism of BRD2 were determined by both in vivo and in vitro studies. RESULTS A total of 86 chemotherapy resistance-related genes in adult T-LBL were identified by gene expression microarray. Among them, BRD2 was upregulated in chemotherapy-resistant adult T-LBL tissues and associated with worse progression-free survival and overall survival of 85 adult T-LBL patients. Furthermore, BRD2 suppressed doxorubicin (Dox)-induced cell apoptosis both in vitro and in vivo. The activation of RasGRP1/Ras/ERK signaling might contribute to the Dox resistance effect of BRD2. Besides, OTX015, a bromodomain and extra-terminal (BET) inhibitor, reversed the Dox resistance effect of BRD2. Patient-derived tumor xenograft demonstrated that the sequential use of OTX015 after Dox showed superior therapeutic effects. CONCLUSIONS Our data showed that BRD2 promotes drug resistance in adult T-LBL through the RasGRP1/Ras/ERK signaling pathway. Targeting BRD2 may be a novel strategy to improve the therapeutic efficacy and prolong survival of adults with T-LBL.
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Affiliation(s)
- Xiao-Peng Tian
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Jun Cai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Shu-Yun Ma
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Yu Fang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Hui-Qiang Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Tong-Yu Lin
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Hui-Lan Rao
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Mei Li
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Zhong-Jun Xia
- Department of Hematology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Tie-Bang Kang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Dan Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
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29
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Yang YZ, Chen P, Liu LJ, Cai QQ, Shi SF, Chen YQ, Lv JC, Zhang H. Comparison of the effects of hydroxychloroquine and corticosteroid treatment on proteinuria in IgA nephropathy: a case-control study. BMC Nephrol 2019; 20:297. [PMID: 31382914 PMCID: PMC6683466 DOI: 10.1186/s12882-019-1488-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Accepted: 07/24/2019] [Indexed: 01/17/2023] Open
Abstract
Background Hydroxychloroquine (HCQ), a well-known immunomodulator, has recently been found to be a promising and safe anti-proteinuric agent for treating IgA nephropathy (IgAN). We aimed to compare the efficacy and safety of HCQ and corticosteroid treatment in patients with IgAN. Methods This is a case-control study. Ninety-two patients with IgAN who received HCQ in addition to routine renin-angiotensin-aldosterone system inhibitors (RAASi) therapy were included. Ninety-two matched historical controls who received corticosteroids were selected by propensity score matching. The clinical data over 6 months were compared. Results Baseline proteinuria levels were comparable between the HCQ and corticosteroid groups (1.7 [1.2, 2.3] vs. 1.8 [1.3, 2.5] g/d, p = 0.96). The percentage reduction in proteinuria at 6 months was smaller in the HCQ group than in the corticosteroid group (− 48.5% [− 62.6, − 31.4] vs. -62.9% [− 81.1, − 34.9], p = 0.006). The time averaged proteinuria within the 6 months of observation was comparable for the HCQ and corticosteroid groups (1.1 [0.8, 1.5] vs. 1.1 [0.5, 1.8] g/d, p = 0.48). The cumulative frequency of patients with a 50% reduction in proteinuria during the study was also comparable between the two groups (52.2% vs. 62.0%, p = 0.25). However, six of the 92 (6.5%) patients suffered from severe adverse events (SAEs) in the corticosteroid group, while no SAEs were observed in the HCQ group (6.5% vs. 0%, p = 0.03). Conclusions The antiproteinuric effect of HCQ might be slightly inferior to that of corticosteroids over 6 months in patients with IgAN who were deemed to be candidates for HCQ and not corticosteroids treatment. However, HCQ treatment was safer than corticosteroid treatment.
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Affiliation(s)
- Ya-Zi Yang
- Renal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China
| | - Pei Chen
- Renal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China
| | - Li-Jun Liu
- Renal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
| | - Qing-Qing Cai
- Renal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China
| | - Su-Fang Shi
- Renal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China
| | - Yu-Qing Chen
- Renal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China
| | - Ji-Cheng Lv
- Renal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China
| | - Hong Zhang
- Renal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China
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Zhang XY, Hong SS, Zhang M, Cai QQ, Zhang MX, Xu CJ. Proteomic alterations of fibroblasts induced by ovarian cancer cells reveal potential cancer targets. Neoplasma 2019; 65:104-112. [PMID: 28857608 DOI: 10.4149/neo_2018_101] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The common spread pattern of ovarian cancer is peritoneal implantation. The growth of the shed ovarian cancer cells in the peritoneal cavity is closely related to the tumor microenvironment. Cancer-associated fibroblasts are vital in the tumor microenvironment. It is not clearly defined that the protein expression alters during the activating process of fibroblasts. This study detected the protein alterations in fibroblasts induced by ovarian cancer cells and explored the potential biological relevance through two-dimensional gel electrophoresis and mass spectrometry. Our data showed that the level of CENPE, BAG2, SOD2, GDI2, CORO1C, CFL1, DSTN, CALD1, PHGDH, PDHA1, AKR1B1, TST and TBCA proteins were significantly up-regulated in the fibroblasts co-cultured with ovarian cancer cells, whereas HSPB1, P4HB and VIM were significantlydown-regulated. However, only BAG2, SOD2 and CORO1C proteins were confirmed to be significantly increased by western blot analysis. The differentially expressed proteins were mainly involved in metabolic processes, cellular component organization, responses to stimulus, multicellular organismal processes, localization, protein depolymerization, cellular senescence and the mitotic pathway. These data demonstrated that fibroblasts had an altered protein expression pattern after being induced by ovarian cancer cells, and participated in multiple cell processes resulting in tumor progression. The differentially expressed proteins should be considered as targets for cancer treatment.
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Tian XP, Wang CY, Jin XH, Li M, Wang FW, Huang WJ, Yun JP, Xu RH, Cai QQ, Xie D. Acidic Microenvironment Up-Regulates Exosomal miR-21 and miR-10b in Early-Stage Hepatocellular Carcinoma to Promote Cancer Cell Proliferation and Metastasis. Am J Cancer Res 2019; 9:1965-1979. [PMID: 31037150 PMCID: PMC6485281 DOI: 10.7150/thno.30958] [Citation(s) in RCA: 140] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 01/27/2019] [Indexed: 12/18/2022] Open
Abstract
Rationale: The incidence of hepatocellular carcinoma is rising worldwide. It is predicted that nearly half of the early-stage hepatocellular carcinoma (E-HCC) patients will develop recurrence. Dysregulated pH, a hallmark of E-HCC, is correlated with poor prognosis. The acidic microenvironment has been shown to promote the release of exosomes, the membrane vesicles recognized as intercellular communicators associated with tumor progression, recurrence, and metastasis. We, therefore, aimed to identify exosomes induced by acidic microenvironment that may regulate E-HCC progression and to explore their mechanisms and clinical significance in E-HCCs. Methods: miRNA microarray analysis and LASSO logistic statistic model were used to identify the main functional exosomal miRNAs. Invasion and scratch assays were performed to examine the migration and invasion of HCC cells. Immunoblotting and immunofluorescence were employed to detect the epithelial-to-mesenchymal transition (EMT) in HCC cells. Chromatin immunoprecipitation (ChIP) was used to analyze the binding of HIF-1α and HIF-2α to promoter regions of miR-21 and miR-10b. Results: The acidic microenvironment in HCC was correlated with poor prognosis of patients. Exosomes from HCC cells cultured in the acidic medium could promote cell proliferation, migration, and invasion of recipient HCC cells. We identified miR-21 and miR-10b as the most important functional miRNAs in acidic HCC-derived exosomes. Also, the acidic microenvironment triggered the activation of HIF-1α and HIF-2α and stimulated exosomal miR-21 and miR-10b expression substantially promoting HCC cell proliferation, migration, and invasion both in vivo and in vitro. In E-HCC patients, serum exosomal miR-21 and miR-10b levels were associated with advanced tumor stage and HIF-1α and HIF-2α expression and were independent prognostic factors for disease-free survival of E-HCC patients. Most importantly, we developed a nano-drug to target exosomal miR-21 and/or miR-10b and examined its therapeutic effects against HCC in vivo. Conclusion: Our findings suggested that the exosomal miR-21 and miR-10b induced by acidic microenvironment in HCC promote cancer cell proliferation and metastasis and may serve as prognostic molecular markers and therapeutic targets for HCC.
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Yang YL, Ran XR, Li Y, Zhou L, Zheng LF, Han Y, Cai QQ, Wang ZY, Zhu JX. Expression of Dopamine Receptors in the Lateral Hypothalamic Nucleus and Their Potential Regulation of Gastric Motility in Rats With Lesions of Bilateral Substantia Nigra. Front Neurosci 2019; 13:195. [PMID: 30923496 PMCID: PMC6426751 DOI: 10.3389/fnins.2019.00195] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 02/19/2019] [Indexed: 11/27/2022] Open
Abstract
Most Parkinson’s Disease (PD) patients experience gastrointestinal (GI) dysfunction especially the gastroparesis, but its underlying mechanism is not clear. We have previously demonstrated that the neurons in the substantia nigra (SN) project to the lateral hypothalamic nucleus (LH) and the dorsal motor nucleus of vagus (DMV) receives the neural projection from LH by the means of anterograde and retrograde neural tracing technology. Orexin A (OXA) is predominately expressed in the LH. It has been reported that OXA can alter the gastric motility through the orexin receptor 1 (OX1R) in DMV. We speculated that this SN-LH-DMV pathway could modulate the motility of stomach because of the important role of LH and DMV in the regulation of gastric motility. However, the distribution and expression of dopamine receptors (DR) in the LH is unknown. In the present study, using a double-labeling immunofluorescence technique combined with confocal microscopy, we significantly extend our understanding of the SN-LH-DMV pathway by showing that (1) a considerable quantity of dopamine receptor 1 and 2 (D1 and D2) was expressed in the LH as well as the OX1R was expressed in the DMV; (2) Nearly all of the D1-immuoreactve (IR) neurons were also OXA-positive while only a few neurons express both D2 and OXA in the LH, and the DR-positive neurons were surrounded by the dopaminergic neural fibers; In the DMV, OX1R were colocalized with choline acetyltransferase (ChAT)-labeled motor neurons; (3) When the gastroparesis was induced by the destruction of dopaminergic neurons in the SN, the decreased expression of D1 and OXA was observed in the LH as well as the reduced OX1R and ChAT expression in the DMV. These findings suggest that SN might regulate the function of OXA-positive neurons via D1 receptor, which then affect the motor neurons in the DMV through OX1R. If the SN is damaged the vagal pathway would be affected, which may lead to gastric dysfunction. The present study raises the possibility that the SN-LH-DMV pathway can regulate the movement of stomach.
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Affiliation(s)
- Yan-Li Yang
- Xinxiang Key Laboratory of Molecular Neurology, Department of Human Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Xue-Rui Ran
- Xinxiang Key Laboratory of Molecular Neurology, Department of Human Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Yong Li
- Xinxiang Key Laboratory of Molecular Neurology, Department of Human Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Li Zhou
- Xinxiang Key Laboratory of Molecular Neurology, Department of Human Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Li-Fei Zheng
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Yu Han
- Department of Gastroenterology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Qing-Qing Cai
- Xinxiang Key Laboratory of Molecular Neurology, Department of Human Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Zhi-Yong Wang
- Xinxiang Key Laboratory of Molecular Neurology, Department of Human Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Jin-Xia Zhu
- Xinxiang Key Laboratory of Molecular Neurology, Department of Human Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China.,Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
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Wang XX, Li PF, Bai B, Gao Y, Rong QX, Cai QQ, Lin SX, Zhang YJ, Li ZM, Jiang WQ, Huang HQ. Differential clinical significance of pre-, interim-, and post-treatment plasma Epstein–Barr virus DNA load in NK/T-cell lymphoma treated with P-GEMOX protocol. Leuk Lymphoma 2019; 60:1917-1925. [DOI: 10.1080/10428194.2018.1563690] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Xiao-Xiao Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Peng-Fei Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Bing Bai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yan Gao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Qi-Xiang Rong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Su-Xia Lin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yu-Jing Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhi-Ming Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Wen-Qi Jiang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Hui-Qiang Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
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Wang L, Bi XW, Zhu YJ, He YZ, Lai QY, Xia ZJ, Cai QQ. IL-2Rα up-regulation is mediated by latent membrane protein 1 and promotes lymphomagenesis and chemotherapy resistance in natural killer/T-cell lymphoma. Cancer Commun (Lond) 2018; 38:62. [PMID: 30340635 PMCID: PMC6235395 DOI: 10.1186/s40880-018-0334-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 10/11/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Natural killer/T-cell lymphoma (NKTCL) is a highly aggressive non-Hodgkin lymphoma often resistant to chemotherapy. Serum level of soluble IL-2 receptor α (IL-2Rα) is elevated in NKTCL patients and correlates significantly with treatment response and survival. In the current study we examined the potential role of IL-2Rα by over-expressing IL-2Rα in representative cell lines. METHODS Levels of IL-2Rα were evaluated in the human natural killer cell line NK-92 and the NKTCL cell line SNK-6. Lentiviral vectors were used to express latent membrane protein 1 (LMP1) in NK-92 cells, and IL-2Rα in both NK-92 and SNK-6 cells. The biological effects of these genes on proliferation, apoptosis, cell cycle distribution, and chemosensitivity were analyzed. RESULTS Expression of IL-2Rα was significantly higher in SNK-6 cells than in NK-92 cells. Expressing LMP1 in NK-92 cells remarkably up-regulated IL-2Rα levels, whereas selective inhibitorss of the proteins in the MAPK/NF-κB pathway significantly down-regulated IL-2Rα. IL-2Rα overexpression in SNK-6 cells promoted cell proliferation by altering cell cycle distribution, and induced resistance to gemcitabine, doxorubicin, and asparaginase. These effects were reversed by an anti-IL-2Rα antibody. CONCLUSIONS Our results suggest that LMP1 activates the MAPK/NF-κB pathway in NKTCL cells, up-regulating IL-2Rα expression. IL-2Rα overexpression promotes growth and chemoresistance in NKTCL, making this interleukin receptor a potential therapeutic target.
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Affiliation(s)
- Liang Wang
- Department of Hematology, ZhuJiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, P. R. China.
| | - Xi-Wen Bi
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Yu-Jia Zhu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Ying-Zhi He
- Department of Hematology, ZhuJiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, P. R. China
| | - Qiu-Yu Lai
- Department of Hematology, ZhuJiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, P. R. China
| | - Zhong-Jun Xia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China.,Department of Hematologic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
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Zhang MX, Hong SS, Cai QQ, Zhang M, Chen J, Zhang XY, Xu CJ. Transcriptional control of the MUC16 promoter facilitates follicle-stimulating hormone peptide-conjugated shRNA nanoparticle-mediated inhibition of ovarian carcinoma in vivo. Drug Deliv 2018. [PMID: 29542355 PMCID: PMC6058609 DOI: 10.1080/10717544.2018.1451934] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Ovarian cancer is the leading cause of cancer death among gynecological malignancies. The high mortality rate has not been significantly reduced despite advances in surgery and chemotherapy. Gene therapy shows therapeutic potential, but several key issues must be resolved before clinical application. To minimize toxicity in noncancerous tissues, tumor-specific ligands are conjugated to vectors to increase the selectivity of drug delivery. The expression pattern of follicle-stimulating hormone (FSH) receptor in normal and cancer tissues provides an opportunity for highly selective drug delivery in ovarian cancer. Furthermore, tumor-specific promoters can conditionally regulate therapeutic gene expression in tumor or normal tissues. The mucin 16 (MUC16) promoter might be a potential tool to drive ovarian cancer-localized gene expression since MUC16/CA125 is overexpressed in most ovarian carcinomas. Here, we screened the possible MUC16 promoter sequences and constructed MUC16 promoter-driven gro-α shRNA plasmid vectors. The vectors were specifically delivered into ovarian cancer cells via FSH peptide-conjugated nanoparticles. The predicted promoter sequence with TAAA repeats showed high transcriptional activity. The nanoparticle complex containing MUC16 promoter-driven gro-α shRNA and FSH peptides had the ability to decrease gro-α protein secretion in ovarian cancer cells and block tumor growth without obvious toxic effects in a nude mouse model bearing ovarian cancer. Our study provides a novel gene delivery system using a MUC16 promoter trigger and FSH peptide-mediated active targeting in ovarian cancer, and this system may be a promising strategy for specific genetic therapeutic delivery.
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Affiliation(s)
- Ming-Xing Zhang
- a Obstetrics and Gynecology Hospital , Fudan University , Shanghai , China
| | - Shan-Shan Hong
- a Obstetrics and Gynecology Hospital , Fudan University , Shanghai , China
| | - Qing-Qing Cai
- a Obstetrics and Gynecology Hospital , Fudan University , Shanghai , China.,b Department of Obstetrics and Gynecology of Shanghai Medical School , Fudan University , Shanghai , China.,c Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases , Shanghai , China
| | - Meng Zhang
- a Obstetrics and Gynecology Hospital , Fudan University , Shanghai , China
| | - Jun Chen
- d Department of Pharmaceutics, School of Pharmacy , Fudan University , Shanghai , China
| | - Xiao-Yan Zhang
- a Obstetrics and Gynecology Hospital , Fudan University , Shanghai , China.,b Department of Obstetrics and Gynecology of Shanghai Medical School , Fudan University , Shanghai , China.,c Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases , Shanghai , China
| | - Cong-Jian Xu
- a Obstetrics and Gynecology Hospital , Fudan University , Shanghai , China.,b Department of Obstetrics and Gynecology of Shanghai Medical School , Fudan University , Shanghai , China.,c Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases , Shanghai , China
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Han X, Gu YK, Li SL, Chen H, Chen MS, Cai QQ, Deng HX, Zuo MX, Huang JH. Pre-treatment serum levels of soluble programmed cell death-ligand 1 predict prognosis in patients with hepatitis B-related hepatocellular carcinoma. J Cancer Res Clin Oncol 2018; 145:303-312. [PMID: 30267213 DOI: 10.1007/s00432-018-2758-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 09/19/2018] [Indexed: 12/13/2022]
Abstract
PURPOSE Anti-programmed cell death-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) therapy has shown promise in tumor immunotherapy. Our objectives were to measure pre-treatment serum-soluble PD-L1 (sPD-L1) levels and to assess the relationships between sPD-L1 levels and clinical characteristics, prognosis, and tumor tissue PD-L1 expression in patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). METHODS Pre-treatment serum sPD-L1 levels were measured with an enzyme-linked immunosorbent assay (ELISA) in 81 patients with HBV-related HCC and compared to those in 49 healthy controls. The association between serum sPD-L1 levels and prognosis was assessed using survival analysis. The correlation between paired serum sPD-L1 levels and tumor PD-L1 expression (in resected tissue homogenates) was assessed in a separate group of 20 patients with HBV-related HCC. RESULTS Median sPD-L1 concentration in patients with HBV-related HCC was 5.129 (range 0.140-12.391) ng/mL and in healthy controls was 0.836 (range 0.105-2.168) ng/mL (p < 0.001). On multivariate analysis, sPD-L1 levels were significant independent predictors of disease-free survival (hazard ratio [HR] 3.503; 95% confidence interval [CI], 1.559-7.871; p = 0.002) and overall survival (HR 3.399; 95% CI 1.308-8.831; p = 0.012). Positive correlation (r = 0.527, p = 0.017) between serum sPD-L1 and tumor PD-L1 expression was observed. Tumor expression of PD-L1 was significantly higher in those with serum sPD-L1 concentrations above vs. below the median level of 5.471 ng/ml (p = 0.012). CONCLUSIONS In patients with HBV-related HCC, serum sPD-L1 concentrations were elevated, and positively correlated with tumor PD-L1 expression. Lower pre-treatment serum sPD-L1 levels were predictors of more favorable disease-free and overall survival. Serum sPD-L1 testing has a potential role in HBV-related HCC disease assessment, systemic therapy choices and survival prediction.
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Affiliation(s)
- Xue Han
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510060, People's Republic of China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
- Department of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Yang-Kui Gu
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510060, People's Republic of China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
- Department of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Shao-Long Li
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510060, People's Republic of China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
- Department of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Hao Chen
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510060, People's Republic of China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
- Department of Clinical Laboratory, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Min-Shan Chen
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510060, People's Republic of China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
- Department of Hepatobiliary Surgery, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510060, People's Republic of China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Han-Xia Deng
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510060, People's Republic of China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
- Department of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Meng-Xuan Zuo
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510060, People's Republic of China.
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China.
- Department of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, People's Republic of China.
| | - Jin-Hua Huang
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510060, People's Republic of China.
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China.
- Department of Minimally Invasive Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, People's Republic of China.
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Wu SX, Huang J, Liu ZW, Chen HG, Guo P, Cai QQ, Zheng JJ, Qin HD, Zheng ZS, Chen X, Zhang RY, Chen SL, Lin TX. A Genomic-clinicopathologic Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer. EBioMedicine 2018; 31:54-65. [PMID: 29655996 PMCID: PMC6014062 DOI: 10.1016/j.ebiom.2018.03.034] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 03/29/2018] [Accepted: 03/29/2018] [Indexed: 02/05/2023] Open
Abstract
Preoperative lymph node (LN) status is important for the treatment of bladder cancer (BCa). Here, we report a genomic-clinicopathologic nomogram for preoperatively predicting LN metastasis in BCa. In the discovery stage, 325 BCa patients from TCGA were involved and LN-status-related mRNAs were selected. In the training stage, multivariate logistic regression analysis was used to developed a genomic-clinicopathologic nomogram for preoperative LN metastasis prediction in the training set (SYSMH set, n=178). In the validation stage, we validated the nomogram using two independent sample sets (SYSUCC set, n=142; RJH set, n=104) with respect to its discrimination, calibration and clinical usefulness. As results, we identified five LN-status-related mRNAs, including ADRA1D, COL10A1, DKK2, HIST2H3D and MMP11. Then, a genomic classifier was developed to classify patients into high- and low-risk groups in the training set. Furthermore, a nomogram incorporating the five-mRNA-based classifier, image-based LN status, transurethral resection (TUR) T stage, and TUR lymphovascular invasion (LVI) was constructed in the training set, which performed well in the training and validation sets. Decision curve analysis demonstrated the clinical value of our nomogram. Thus, our genomic-clinicopathologic nomogram shows favorable discriminatory ability and may aid in clinical decision-making, especially for cN-patients.
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Affiliation(s)
- Shao-Xu Wu
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China; Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Research Center of Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jian Huang
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Zhuo-Wei Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hai-Ge Chen
- Department of Urology, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pi Guo
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jun-Jiong Zheng
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Hai-De Qin
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Research Center of Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zao-Song Zheng
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Xin Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Rui-Yun Zhang
- Department of Urology, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Si-Liang Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Tian-Xin Lin
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
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Wang YZ, Xu Q, Wu W, Liu Y, Jiang Y, Cai QQ, Lv QZ, Li XY. Brain Transport Profiles of Ginsenoside Rb 1 by Glucose Transporter 1: In Vitro and in Vivo. Front Pharmacol 2018; 9:398. [PMID: 29725302 PMCID: PMC5917093 DOI: 10.3389/fphar.2018.00398] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 04/06/2018] [Indexed: 01/07/2023] Open
Abstract
Ginsenoside Rb1 (Rb1) has been demonstrated its protection for central nervous system and is apparently highly distributed to the brain. The objective of this study was to characterize Rb1 transport at the blood–brain barrier (BBB) using primary cultured rat brain microvascular endothelial cells (rBMEC), an in vitro BBB model. The initial uptake velocity of Rb1 in rBMEC was temperature- and concentration-dependent, and was significantly reduced by phloretin, an inhibitor of GLUT1 transporter, but was independent of metabolic inhibitor. Furthermore, the transport of Rb1 into rBMEC was significantly diminished in the presence of natural substrate α-D-glucose, suggesting a facilitated transport of Rb1 via GLUT1 transporter. The impact of GLUT1 on the distribution of Rb1 between brain and plasma was studied experimentally in rats. Administration of phloretin (5 mg/kg, i.v.) to normal rats for consecutive 1 week before Rb1 (10 mg/kg, i.v.) at 0.5, 2, and 6 h did not alter Rb1 concentrations in plasma, but resulted in significant decreased brain concentrations of Rb1 compared to in the phloretin-untreated normal rats (489.6 ± 58.3 versus 105.1 ± 15.1 ng/g, 193.8 ± 11.1 versus 84.8 ± 4.1 ng/g, and 114.2 ± 24.0 versus 39.9 ± 4.9 ng/g, respectively). The expression of GLUT1 in the phloretin-treated group by western blotting analysis in vitro and in vivo experiments was significantly decreased, indicating that the decreased transport of Rb1 in brain was well related to the down-regulated function and level of GLUT1. Therefore, our in vitro and in vivo results indicate that the transport of Rb1 at the BBB is at least partly mediated by GLUT1 transporter.
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Affiliation(s)
- Yu-Zhu Wang
- Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qing Xu
- Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Wu
- Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ying Liu
- Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ying Jiang
- Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qing-Qing Cai
- Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qian-Zhou Lv
- Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiao-Yu Li
- Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai, China
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Huang XP, Li X, Situ MY, Huang LY, Wang JY, He TC, Yan QH, Xie XY, Zhang YJ, Gao YH, Li YH, Rong TH, Wang MR, Cai QQ, Fu JH. Entinostat reverses cisplatin resistance in esophageal squamous cell carcinoma via down-regulation of multidrug resistance gene 1. Cancer Lett 2018; 414:294-300. [DOI: 10.1016/j.canlet.2017.10.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 10/17/2017] [Accepted: 10/18/2017] [Indexed: 10/18/2022]
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Li SM, He WB, Chen J, Cai QQ, Huang FF, Zhang K, Wang JF, Liu X, Huang H. Combined blockade of renin-angiotensin-aldosterone system reduced all-cause but not cardiovascular mortality in dialysis patients: A mediation analysis and systematic review. Atherosclerosis 2018; 269:35-41. [DOI: 10.1016/j.atherosclerosis.2017.12.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 11/11/2017] [Accepted: 12/05/2017] [Indexed: 11/26/2022]
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Hu LY, Xu XL, Rao HL, Chen J, Lai RC, Huang HQ, Jiang WQ, Lin TY, Xia ZJ, Cai QQ. Expression and clinical value of programmed cell death-ligand 1 (PD-L1) in diffuse large B cell lymphoma: a retrospective study. Chin J Cancer 2017; 36:94. [PMID: 29246182 PMCID: PMC5732416 DOI: 10.1186/s40880-017-0262-z] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 12/07/2017] [Indexed: 01/17/2023]
Abstract
Background The programmed cell death-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) pathway inhibits the activation of T cells and plays a crucial role in the negative regulation of cellular and humoral immune responses. Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoid malignancy in adults. In the present study, we aimed to detect the expression of PD-L1 in DLBCL and to analyze its relationship with prognosis. Methods We reviewed medical records of 204 newly diagnosed DLBCL patients in Sun Yat-sen University Cancer Center between October 2005 and August 2012. The expression of PD-L1 in tumor tissues from these 204 patients was detected using immunohistochemical (IHC) assay. The expression of anaplastic lymphoma kinase (ALK), CD5, CD30, and C-Myc in tumor specimens from 109 patients was detected using IHC, and Epstein–Barr virus (EBV)-encoded RNAs (EBERs) were detected using fluorescence in situ hybridization. The Spearman method was used for correlation analysis. The Kaplan–Meier method with log-rank test was used for univariate analysis. Cox proportional hazards model was used for multivariate analysis. Results Of the 204 patients, 100 (49.0%) were PD-L1-positive in tumor cells and 44 (21.6%) were PD-L1-positive in tumor microenvironment. PD-L1 expression in tumor cells and tumor microenvironment were more common in the non-germinal center B-cell-like (GCB) subtype than in the GCB subtype (P = 0.02 and P = 0.04). Patients with PD-L1 expression in tumor microenvironment were more likely to be resistant to first-line chemotherapy when compared with the patients without PD-L1 expression in tumor microenvironment (P = 0.03). PD-L1 expression in tumor microenvironment was negatively correlated with C-Myc expression (r = − 0.20, P = 0.04). No correlations were detected between PD-L1 expression and the expression of ALK, CD5, and CD30 as well as EBERs. The 5-year overall survival (OS) rates were 50.0% and 67.3% in patients with and without PD-L1 expression in tumor cells (P = 0.02). PD-L1 expression in tumor cells was an independent risk predictor for OS (P < 0.01). Conclusions PD-L1 expression is more common in the non-GCB subtype than in the GCB subtype. PD-L1 expression in tumor microenvironment has a negative correlation with C-Myc. PD-L1 positivity predicts short survival in DLBCL patients. For patients with PD-L1 expression, more strategy such as anti-PD-L1 antibody treatment should be recommended.
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Affiliation(s)
- Li-Yang Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, The Fifth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 519000, Guangdong, P. R. China
| | - Xiao-Lu Xu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Hui-Lan Rao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Jie Chen
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, Guangdong, P. R. China.,Department of Radiotherapy, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, 510120, Guangdong, P. R. China
| | - Ren-Chun Lai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Anesthesiology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Hui-Qiang Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Wen-Qi Jiang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Tong-Yu Lin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Zhong-Jun Xia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Hematology Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
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Wang ZY, Lian H, Zhou L, Zhang YM, Cai QQ, Zheng LF, Zhu JX. Altered Expression of D1 and D2 Dopamine Receptors in Vagal Neurons Innervating the Gastric Muscularis Externa in a Parkinson's Disease Rat Model. J Parkinsons Dis 2017; 6:317-23. [PMID: 27164043 DOI: 10.3233/jpd-160817] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Parkinson's disease (PD) is characterized by dopaminergic neuron degeneration in the substantia nigra (SN) accompanied by pathology of the dorsal motor nucleus of the vagus (DMV). Gastroparesis is a common non-motor system symptom of PD in patients and in animal models. However, the underlying mechanism of this symptom is not clear. We previously reported on the expression of enhanced tyrosine hydroxylase (TH) and decreased choline acetyltransferase (ChAT) in the DMV of a PD animal model and colocalization of TH and ChAT with the dopamine receptors D1 and D2. We hypothesize that these receptors might contribute to the delayed gastric emptying observed in PD. OBJECTIVE To investigate the distribution of D1 and D2 in gastric-projecting DMV neurons and alteration of their distribution in a PD rat model. METHODS Retrograde tracing, double-labeling immunofluorescence techniques and western blotting were used. RESULTS After injection of the retrograde tracer fluoro-gold (FG) into the gastric wall, FG-labeled gastric-projecting motoneurons were observed in the caudal and rostral parts of the DMV, and neurons with D1-, D2- and ChAT- immunoreactivity (IR) were widely colocalized in the DMV. Many TH-IR fibers were observed around the D1- and D2-IR neurons. Moreover, decreased D1 and enhanced D2 expression in the DMV was observed in 6-hydroxydopamine (6-OHDA) rats that were treated with a bilateral microinjection of 6-OHDA in the SN. CONCLUSIONS The results indicate that dopamine receptors might affect the activity of gastric-projecting neurons in the DMV, their altered expression may contribute to the gastroparesis observed in PD.
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Affiliation(s)
- Zhi-Yong Wang
- Key Lab for Medical Tissue Regeneration of Henan Province, Department of Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Hui Lian
- Key Lab for Medical Tissue Regeneration of Henan Province, Department of Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Li Zhou
- Key Lab for Medical Tissue Regeneration of Henan Province, Department of Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Yi-Min Zhang
- Key Lab for Medical Tissue Regeneration of Henan Province, Department of Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Qing-Qing Cai
- Key Lab for Medical Tissue Regeneration of Henan Province, Department of Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Li-Fei Zheng
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Jin-Xia Zhu
- Key Lab for Medical Tissue Regeneration of Henan Province, Department of Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China.,Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
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Liu Y, Zhu B, Zhuo L, He MY, Xu Y, Wang TT, Cai QQ, Hu B, Xu JC, Zhang WH. [Risk factors for congenital heart disease in Chinese neonates: a Meta analysis]. Zhongguo Dang Dai Er Ke Za Zhi 2017; 19:754-758. [PMID: 28697826 PMCID: PMC7389917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Accepted: 04/26/2017] [Indexed: 11/12/2023]
Abstract
OBJECTIVE To investigate the major risk factors for congenital heart disease (CHD) in Chinese neonates and to provide a reference for the prevention of CHD. METHODS A literature search was performed to collect the case-control studies on the risk factors for CHD in Chinese neonates published in 2001-2016. The relevant data were extracted accordingly. The quality of included studies was assessed by Newcastle-Ottawa Scale. Sensitivity analysis was conducted using different models to analyze the same data. The publication bias was assessed by Egger's test. RESULTS A total of 17 case-control studies involving 2 930 cases and 4 952 controls were included. The Meta analysis showed that the major risk factors for CHD in Chinese neonates were as follows: mother with advanced age (OR=2.649, 95%CI: 1.675-4.189), cold or fever (OR=4.558, 95%CI: 2.901-7.162), medication use in early pregnancy (OR=3.961, 95%CI: 2.816-5.573), passive smoking (OR=2.766, 95%CI: 1.982-3.859), abnormal childbearing history (OR=2.992, 95%CI: 1.529-5.856), noise exposure (OR=3.030, 95%CI: 1.476-6.217), radiation exposure (OR=2.363, 95%CI: 1.212-4.607), decoration (OR=4.979, 95%CI: 3.240-7.653), gestational diabetes (OR=5.090, 95%CI: 3.132-8.274), and pet raising (OR=2.048, 95%CI: 1.385-3.029). CONCLUSIONS Mothers with advanced age, cold or fever, medication use in early pregnancy, passive smoking, abnormal childbearing history, noise exposure, radiation exposure, decoration, gestational diabetes, and pet raising may increase the risk of CHD in Chinese neonates.
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Affiliation(s)
- Yi Liu
- School of Public Health of Xuzhou Medical University, Xuzhou, Jiangsu 221004, China.
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Liu Y, Zhu B, Zhuo L, He MY, Xu Y, Wang TT, Cai QQ, Hu B, Xu JC, Zhang WH. [Risk factors for congenital heart disease in Chinese neonates: a Meta analysis]. Zhongguo Dang Dai Er Ke Za Zhi 2017; 19:754-758. [PMID: 28697826 PMCID: PMC7389917 DOI: 10.7499/j.issn.1008-8830.2017.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Accepted: 04/26/2017] [Indexed: 06/07/2023]
Abstract
OBJECTIVE To investigate the major risk factors for congenital heart disease (CHD) in Chinese neonates and to provide a reference for the prevention of CHD. METHODS A literature search was performed to collect the case-control studies on the risk factors for CHD in Chinese neonates published in 2001-2016. The relevant data were extracted accordingly. The quality of included studies was assessed by Newcastle-Ottawa Scale. Sensitivity analysis was conducted using different models to analyze the same data. The publication bias was assessed by Egger's test. RESULTS A total of 17 case-control studies involving 2 930 cases and 4 952 controls were included. The Meta analysis showed that the major risk factors for CHD in Chinese neonates were as follows: mother with advanced age (OR=2.649, 95%CI: 1.675-4.189), cold or fever (OR=4.558, 95%CI: 2.901-7.162), medication use in early pregnancy (OR=3.961, 95%CI: 2.816-5.573), passive smoking (OR=2.766, 95%CI: 1.982-3.859), abnormal childbearing history (OR=2.992, 95%CI: 1.529-5.856), noise exposure (OR=3.030, 95%CI: 1.476-6.217), radiation exposure (OR=2.363, 95%CI: 1.212-4.607), decoration (OR=4.979, 95%CI: 3.240-7.653), gestational diabetes (OR=5.090, 95%CI: 3.132-8.274), and pet raising (OR=2.048, 95%CI: 1.385-3.029). CONCLUSIONS Mothers with advanced age, cold or fever, medication use in early pregnancy, passive smoking, abnormal childbearing history, noise exposure, radiation exposure, decoration, gestational diabetes, and pet raising may increase the risk of CHD in Chinese neonates.
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Affiliation(s)
- Yi Liu
- School of Public Health of Xuzhou Medical University, Xuzhou, Jiangsu 221004, China.
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Wang XY, Zhou H, Zhu XJ, Xia LF, He C, Cai QQ, Wang T. [Anti-β(2)GPⅠantibodies accelerate the formation of atherosclerosis in high fat diet fed ApoE deficient mice]. Zhonghua Xin Xue Guan Bing Za Zhi 2017; 45:44-48. [PMID: 28100345 DOI: 10.3760/cma.j.issn.0253-3758.2017.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the effects of anti-β(2) glycoprotein Ⅰ(β(2)GPⅠ) antibody on atherosclerosis in ApoE deficient mice. Methods: A total of 24 male ApoE deficient mice of specific pathogen free level(six to eight-week old)were divided into normal control group, high fat diet group, high fat diet with anti-β(2)GPⅠ group, high fat diet with homologous control antibody group (n=6 each group). During the feeding period, mice were weighed every 2 weeks and were intraperitoneally injected with anti-β(2)GPⅠIgG (100 μg/per) and homologous control IgG (100 μg/per) according to grouping once a week. At the 16th week, the carotid arterial lipid deposition was observed by small animal magnetic resonance imaging, and blood samples were collected from internal vein of eyeball and the concentrations of TC, TG, HDL-C and LDL-C in plasma were measured after EDTA anticoagulant treatment. AI was calculated. The mice were then sacrificed and carotid arteries were removed, hematoxylin-eosin staining was used to observe the atherosclerotic lesions near the bifurcation of carotid artery and to calculate lesion size. Results: (1) The body weight of mice was significantly higher in the high fat diet group compared to other 3 groups(all P<0.05), which was similar among high fat diet+ anti-β(2)GPⅠantibody group, high fat diet+ homologous control IgG group and normal diet control group (P>0.05). (2) After 16 weeks, plasma concentrations of TC and LDL-C in high fat diet group, high fat diet+ anti-β(2)GPⅠantibody group and high fat diet+ homologous control IgG group were significantly higher than in normal diet group (all P<0.05), there was no significant difference among high fat diet groups. The level of HDL-C was significantly higher in high fat diet control group than in normal diet control group. The concentration of TG was similar among groups. However, the value of AI in high fat+ anti-β(2)GPⅠ antibody group was significantly higher than in other groups (all P<0.05). (3) After 16 weeks, magnetic resonance imaging revealed that mice in high fat diet+ anti-β(2)GPⅠ antibody group had more obviously lipid deposition in the carotid arteries, it was significantly higher than that in the other groups, and the cross sections of carotid arteries stained with HE also demonstrated obviously carotid lumen stenosis and the percentage of carotid plaque area to carotid artery was (37.545±1.351)% in the high fat diet+ anti-β(2)GPⅠ antibody group, it was significantly higher than normal diet group ((1.235±0.460)%), high fat diet control group((11.635±2.751)%) and high fat diet+ homologous control IgG group ((11.815±2.623)%), all P<0.01. In high fat diet+ anti-β(2)GPⅠ antibody group, the area of carotid plaque was (3.121±0.124)×10(4) μm(2,) it was also significantly higher than normal diet group ((0.094±0.015)×10(4) μm(2)), high fat diet control group ((1.309±0.147)×10(4) μm(2)) and high fat diet+ homologous control IgG group ((1.027±0.228)×10(4)μm(2)), all P<0.01. Conclusion: Anti-β(2)GPⅠ antibody can promote atherosclerotic plaque formation in high fat diet fed ApoE deficient mice.
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Affiliation(s)
- X Y Wang
- Department of Clinical Laboratory and Hematology, School of Medicine, Jiangsu University, Zhenjiang 212013, China
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Cai QQ, Hu LY, Geng QR, Chen J, Lu ZH, Rao HL, Liu Q, Jiang WQ, Huang HQ, Lin TY, Xia ZJ. New risk factors and new tendency for central nervous system relapse in patients with diffuse large B-cell lymphoma: a retrospective study. Chin J Cancer 2016; 35:87. [PMID: 27624700 PMCID: PMC5022242 DOI: 10.1186/s40880-016-0150-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Accepted: 06/15/2016] [Indexed: 01/17/2023]
Abstract
Background In patients with diffuse large B-cell lymphoma (DLBCL), central nervous system (CNS) relapse is uncommon but is nearly always fatal. This study aimed to determine the risk factors for CNS relapse in DLBCL patients and to evaluate the efficacy of rituximab and intrathecal chemotherapy prophylaxis for CNS relapse reduction. Methods A total of 511 patients with newly diagnosed DLBCL treated at the Sun Yat-sen University Cancer Center between January 2003 and December 2012 were included in the study. Among these patients, 376 received R-CHOP regimen (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) as primary treatment, and 135 received CHOP regimen (cyclophosphamide, doxorubicin, vincristine, and prednisone) as primary treatment. Intrathecal chemotherapy prophylaxis (methotrexate plus cytarabine) was administered to those who were deemed at high risk for CNS relapse. In the entire cohort and in the R-CHOP set in particular, the Kaplan–Meier method coupled with the log-rank test was used for univariate analysis, and the Cox proportional hazards model was used for multivariate analysis. Differences were evaluated using a two-tailed test, and P < 0.05 was considered significant. Results At a median follow-up of 46 months, 25 (4.9%) patients experienced CNS relapse. There was a trend of reduced occurrence of CNS relapse in patients treated with rituximab; the 3-year cumulative CNS relapse rates were 7.1% in CHOP group and 2.7% in R-CHOP group (P = 0.045). Intrathecal chemotherapy prophylaxis did not confer much benefit in terms of preventing CNS relapse. Bone involvement [hazard ratio (HR) = 4.21, 95% confidence interval (CI) 1.38–12.77], renal involvement (HR = 3.85, 95% CI 1.05–14.19), alkaline phosphatase (ALP) >110 U/L (HR = 3.59, 95% CI 1.25–10.34), serum albumin (ALB) <35 g/L (HR = 3.63, 95% CI 1.25–10.51), treatment with rituximab (HR = 0.34, 95% CI 0.12–0.96), and a time to complete remission ≤ 108 days (HR = 0.22, 95% CI 0.06–0.78) were independent predictive factors for CNS relapse in the entire cohort. Bone involvement (HR = 4.44, 95% CI 1.08–18.35), bone marrow involvement (HR = 11.70, 95% CI 2.24–60.99), and renal involvement (HR = 10.83, 95% CI 2.27–51.65) were independent risk factors for CNS relapse in the R-CHOP set. Conclusions In the present study, rituximab decreased the CNS relapse rate of DLBCL, whereas intrathecal chemotherapy prophylaxis alone was not sufficient for preventing CNS relapse. Serum levels of ALB and ALP, and the time to complete remission were new independent predictive factors for CNS relapse in the patients with DLBCL. In the patients received R-CHOP regimen, a trend of increased CNS relapse was found to be associated with extranodal lesions.
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Affiliation(s)
- Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, P. R. China.
| | - Li-Yang Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, P. R. China
| | - Qi-Rong Geng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Hematology Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Jie Chen
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, Guangdong, P. R. China.,Department of Radiotherapy, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, 510120, Guangdong, P. R. China
| | - Zhen-Hai Lu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Colorectal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Hui-Lan Rao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Qing Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Cancer Prevention Research, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
| | - Wen-Qi Jiang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, P. R. China
| | - Hui-Qiang Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, P. R. China
| | - Tong-Yu Lin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, P. R. China
| | - Zhong-Jun Xia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.,Department of Hematology Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China
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Li Z, Xia Y, Feng LN, Chen JR, Li HM, Cui J, Cai QQ, Sim KS, Nairismägi ML, Laurensia Y, Meah WY, Liu WS, Guo YM, Chen LZ, Feng QS, Pang CP, Chen LJ, Chew SH, Ebstein RP, Foo JN, Liu J, Ha J, Khoo LP, Chin ST, Zeng YX, Aung T, Chowbay B, Diong CP, Zhang F, Liu YH, Tang T, Tao M, Quek R, Mohamad F, Tan SY, Teh BT, Ng SB, Chng WJ, Ong CK, Okada Y, Raychaudhuri S, Lim ST, Tan W, Peng RJ, Khor CC, Bei JX. Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study. Lancet Oncol 2016; 17:1240-7. [PMID: 27470079 DOI: 10.1016/s1470-2045(16)30148-6] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Revised: 05/05/2016] [Accepted: 05/05/2016] [Indexed: 12/22/2022]
Abstract
BACKGROUND Extranodal natural killer T-cell lymphoma (NKTCL), nasal type, is a rare and aggressive malignancy that occurs predominantly in Asian and Latin American populations. Although Epstein-Barr virus infection is a known risk factor, other risk factors and the pathogenesis of NKTCL are not well understood. We aimed to identify common genetic variants affecting individual risk of NKTCL. METHODS We did a genome-wide association study of 189 patients with extranodal NKTCL, nasal type (WHO classification criteria; cases) and 957 controls from Guangdong province, southern China. We validated our findings in four independent case-control series, including 75 cases from Guangdong province and 296 controls from Hong Kong, 65 cases and 983 controls from Guangdong province, 125 cases and 1110 controls from Beijing (northern China), and 60 cases and 2476 controls from Singapore. We used imputation and conditional logistic regression analyses to fine-map the associations. We also did a meta-analysis of the replication series and of the entire dataset. FINDINGS Associations exceeding the genome-wide significance threshold (p<5 × 10(-8)) were seen at 51 single-nucleotide polymorphisms (SNPs) mapping to the class II MHC region on chromosome 6, with rs9277378 (located in HLA-DPB1) having the strongest association with NKTCL susceptibility (p=4·21 × 10(-19), odds ratio [OR] 1·84 [95% CI 1·61-2·11] in meta-analysis of entire dataset). Imputation-based fine-mapping across the class II MHC region suggests that four aminoacid residues (Gly84-Gly85-Pro86-Met87) in near-complete linkage disequilibrium at the edge of the peptide-binding groove of HLA-DPB1 could account for most of the association between the rs9277378*A risk allele and NKTCL susceptibility (OR 2·38, p value for haplotype 2·32 × 10(-14)). This association is distinct from MHC associations with Epstein-Barr virus infection. INTERPRETATION To our knowledge, this is the first time that a genetic variant conferring an NKTCL risk is noted at genome-wide significance. This finding underlines the importance of HLA-DP antigen presentation in the pathogenesis of NKTCL. FUNDING Top-Notch Young Talents Program of China, Special Support Program of Guangdong, Specialized Research Fund for the Doctoral Program of Higher Education (20110171120099), Program for New Century Excellent Talents in University (NCET-11-0529), National Medical Research Council of Singapore (TCR12DEC005), Tanoto Foundation Professorship in Medical Oncology, New Century Foundation Limited, Ling Foundation, Singapore National Cancer Centre Research Fund, and the US National Institutes of Health (1R01AR062886, 5U01GM092691-04, and 1R01AR063759-01A1).
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Affiliation(s)
- Zheng Li
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Genome Institute of Singapore, Singapore
| | - Yi Xia
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Li-Na Feng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Jie-Rong Chen
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Hong-Min Li
- State Key Laboratory of Molecular Oncology, Beijing, China; Department of Etiology and Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, Beijing, China; Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Cui
- Division of Rheumatology, Immunology, and Allergy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Qing-Qing Cai
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | | | - Maarja-Liisa Nairismägi
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | - Yurike Laurensia
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | | | - Wen-Sheng Liu
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yun-Miao Guo
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Li-Zhen Chen
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Qi-Sheng Feng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Chi Pui Pang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Li Jia Chen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Soo Hong Chew
- Department of Economics, National University of Singapore, Singapore
| | - Richard P Ebstein
- Department of Psychology, National University of Singapore, Singapore
| | | | | | - Jeslin Ha
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | - Lay Poh Khoo
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | - Suk Teng Chin
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | - Yi-Xin Zeng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Beijing Hospital, Beijing, China
| | - Tin Aung
- Singapore Eye Research Institute, Singapore
| | - Balram Chowbay
- Laboratory of Clinical Pharmacology, Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore; Clinical Pharmacology, SingHealth, Singapore; Office of Clinical Sciences, Duke-National University of Singapore Medical School, Singapore
| | | | - Fen Zhang
- Department of Pathology, Guangdong General Hospital, Guangzhou, China
| | - Yan-Hui Liu
- Department of Pathology, Guangdong General Hospital, Guangzhou, China
| | - Tiffany Tang
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Miriam Tao
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Richard Quek
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Farid Mohamad
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Soo Yong Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore; Department of Pathology, Singapore General Hospital, Singapore; Institute of Molecular and Cell Biology, A*STAR, Singapore; Department of Pathology, University of Malaya, Kuala Lumpur, Malaysia; Department of Pathology, National University of Singapore, Singapore
| | - Bin Tean Teh
- Program in Cancer and Stem Cell Biology, Duke-National University of Singapore Medical School, Singapore; Institute of Molecular and Cell Biology, A*STAR, Singapore; Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, Singapore; Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Siok Bian Ng
- Department of Pathology, National University of Singapore, Singapore; Cancer Science Institute of Singapore, National University of Singapore, Singapore; Department of Pathology, National University Hospital, National University Health System, Singapore
| | - Wee Joo Chng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore; Department of Haematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore
| | - Choon Kiat Ong
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore
| | - Yukinori Okada
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Soumya Raychaudhuri
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Partners Center for Personalized Genetic Medicine, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Institute of Inflammation and Repair, University of Manchester, Manchester, UK; Rheumatology Unit, Department of Medicine, Karolinska Institutet and Karolinska University Hospital Solna, Stockholm, Sweden
| | - Soon Thye Lim
- Lymphoma Genomic Translational Research Laboratory, National Cancer Centre Singapore, Singapore; Division of Medical Oncology, National Cancer Centre Singapore, Singapore; Office of Education, Duke-National University of Singapore Medical School, Singapore
| | - Wen Tan
- State Key Laboratory of Molecular Oncology, Beijing, China; Department of Etiology and Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, Beijing, China; Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rou-Jun Peng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Singapore; Singapore Eye Research Institute, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jin-Xin Bei
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Genome Institute of Singapore, Singapore; Center for Precision Medicine, Sun Yat-Sen University, Guangzhou, China.
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Chen KL, Chen J, Rao HL, Guo Y, Huang HQ, Zhang L, Shao JY, Lin TY, Jiang WQ, Zou DH, Hu LY, Wirian ML, Cai QQ. Hepatitis B virus reactivation and hepatitis in diffuse large B-cell lymphoma patients with resolved hepatitis B receiving rituximab-containing chemotherapy: risk factors and survival. Chin J Cancer 2015; 34:225-34. [PMID: 26058465 PMCID: PMC4593350 DOI: 10.1186/s40880-015-0015-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Accepted: 01/22/2015] [Indexed: 12/23/2022]
Abstract
Introduction Hepatitis B virus (HBV) reactivation has been reported in B-cell lymphoma patients with resolved hepatitis B (hepatitis B surface antigen [HBsAg]-negative and hepatitis B core antibody [HBcAb]-positive). This study aimed to assess HBV reactivation and hepatitis occurrence in diffuse large B-cell lymphoma (DLBCL) patients with resolved hepatitis B receiving rituximab-containing chemotherapy compared with HBsAg-negative/HBcAb-negative patients to identify risk factors for HBV reactivation and hepatitis occurrence and to analyze whether HBV reactivation and hepatitis affect the survival of DLBCL patients with resolved hepatitis B. Methods We reviewed the clinical data of 278 patients with DLBCL treated with rituximab-containing therapy between January 2004 and May 2008 at Sun Yat-sen University Cancer Center, China. Predictive factors for HBV reactivation, hepatitis development, and survival were examined by univariate analysis using the chi-square or Fisher’s exact test and by multivariate analysis using the Cox regression model. Results Among the 278 patients, 165 were HBsAg-negative. Among these 165 patients, 6 (10.9%) of 55 HBcAb-positive (resolved HBV infection) patients experienced HBV reactivation compared with none (0%) of 110 HBcAb-negative patients (P = 0.001). Patients with resolved hepatitis B had a higher hepatitis occurrence rate than HBsAg-negative/HBcAb-negative patients (21.8% vs. 8.2%, P = 0.013). HBcAb positivity and elevated baseline alanine aminotransferase (ALT) levels were independent risk factors for hepatitis. Among the 55 patients with resolved hepatitis B, patients with elevated baseline serum ALT or aspartate aminotransferase (AST) levels were more likely to develop hepatitis than those with normal serum ALT or AST levels (P = 0.037, P = 0.005, respectively). An elevated baseline AST level was an independent risk factor for hepatitis in these patients. Six patients with HBV reactivation recovered after immediate antiviral therapy, and chemotherapy was continued. HBcAb positivity, HBV reactivation, or hepatitis did not negatively affect the survival of DLBCL patients. Conclusions DLBCL patients with resolved hepatitis B may have a higher risk of developing HBV reactivation and hepatitis than HBsAg-negative/HBcAb-negative patients. Close monitoring and prompt antiviral therapy are required in these patients.
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Affiliation(s)
- Kai-Lin Chen
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
| | - Jie Chen
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Radiotherapy Department, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, 510120, Guangdong, P. R. China.
| | - Hui-Lan Rao
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
| | - Ying Guo
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Clinical Trial Center, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
| | - Hui-Qiang Huang
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
| | - Liang Zhang
- Department of Lymphoma and Myeloma, University of Texas MD Anderson Cancer Center, Houston, Texas, 77030, USA.
| | - Jian-Yong Shao
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
| | - Tong-Yu Lin
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
| | - Wen-Qi Jiang
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
| | - De-Hui Zou
- Lymphoma and Myeloma Center, Institute of Hematology and Blood Diseases Hospital, Tianjin, P. R. China. .,State Key Lab of Experimental Method of Hematology, Chinese Academy of Medical Sciences and Peking Union of Medical College, Tianjin, 300020, P. R. China.
| | - Li-Yang Hu
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
| | - Michael Lucas Wirian
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
| | - Qing-Qing Cai
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, Guangdong, P. R. China. .,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong, P. R. China.
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Chen KL, Liu YH, Li WY, Chen J, Gu YK, Geng QR, Jiang WQ, Huang HQ, Lin TY, Xia ZJ, Cai QQ. The prognostic nutritional index predicts survival for patients with extranodal natural killer/T cell lymphoma, nasal type. Ann Hematol 2015; 94:1389-400. [DOI: 10.1007/s00277-015-2361-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2014] [Accepted: 03/19/2015] [Indexed: 11/25/2022]
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50
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Chen J, Liu Y, Cai QQ, Liu YM, Wang T, Zhang K, Wang JF, Chen WQ, Huang H. Type D personality parents of children with leukemia tend to experience anxiety: the mediating effects of social support and coping style. Medicine (Baltimore) 2015; 94:e627. [PMID: 25761192 PMCID: PMC4602458 DOI: 10.1097/md.0000000000000627] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
The aims were to access anxiety and type D personality (TDP) in parents of children with leukemia, and to determine the mediating effect of social support and coping style on the relationship between TDP and anxiety. A cross-sectional study was conducted among 231 parents of children with leukemia and 261 parents of children with acute diseases in hospitals. Parents completed questionnaires on anxiety, TDP, social support, coping styles, children's clinical characteristics, and demographic characteristics. Parents of children with leukemia showed higher prevalence of anxiety (64.5% vs 40.2%, P < 0.01) and TDP (44.2% vs 24.1%, P < 0.01) compared with controls. TDP (odds ratio [OR] = 4.34, P < 0.01), lower social support (OR = 1.92, P = 0.02), and less positive coping (OR = 1.87, P = 0.02) were independently associated with anxiety. Parents with TDP showed lower social support and less positive coping, but more negative coping compared with those without. Moreover, multiple mediation analyses revealed that the significant effect of TDP on anxiety was partially mediated by social support and positive coping. In conclusion, anxiety and TDP were highly prevalent in parents of children with leukemia. The predictive factors could be used to identify those parents who are at high risk of anxiety and may also be targets for prevention and intervention.
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Affiliation(s)
- Jie Chen
- From the Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology (JC, YL, TW, KZ, JFW, HH); Sun Yat-sen Memorial Hospital of Sun Yat-sen University (JC, YL, YML, TW, KZ, JFW, HH); Department of Internal Medicine (QQC), Cancer Center; and Department of Biostatistics and Epidemiology (WQC), School of Public Health, Sun Yat-sen University, Guangzhou, China
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