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Xie Y, Shi X, Chen Y, Wu B, Gong X, Lu W, Lin W. The intra-class heterogeneity of immunophenotyping and immune landscape in oesophageal cancer and clinical implications. Ann Med 2021; 53:626-638. [PMID: 33860722 PMCID: PMC8078926 DOI: 10.1080/07853890.2021.1912385] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The response rate and survival benefit of immunotherapy vary among patients, implying specific immune status of an individual could be associated with the effect of immunotherapy. However, in-depth studies of immune subtypes (ISs), immune landscape and tumour microenvironment of oesophageal cancer (ESCA) and their clinical implications are less reported. METHODS We first accessed data from publicly available databases and preprocessed it based on a standard protocol. Then, ISs were identified by unsupervised learning. Thereafter, the association of these ISs and tumour mutation burden (TMB), biomarkers of chemotherapy-induced immune response, tumour markers were also assessed. In addition, the immune characteristics, immune landscape, co-expression network of immune genes, and clinical implications were visualized and analysed. RESULTS We identified three immunoclusters based on immune-associated genes with intra-class heterogeneity and prognostic value. Cluster-specific associations with TMB, markers of chemotherapy-induced immune response, and tumour markers were revealed. A 4-gene signature (risk score= -0.16514291×BHLHE22-0.03964046×MXRA8-0.15242778×SLIT2-0.05553572×SPON1) based on co-expressed genes in the immunoclusters was developed and externally validated. CONCLUSIONS In summary, we identified clinically relevant immunoclusters in both adenocarcinoma and squamous cell carcinoma of oesophagus, revealing the necessity of assessing the complexity and diversity of immune microenvironment for cancer immunotherapy.
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Affiliation(s)
- Yujie Xie
- Department of Thoracic Surgery, The People's Hospital of Gaozhou, Gaozhou, China.,Guangdong Esophageal Cancer Institute, Guangzhou, China
| | - Xiaoshun Shi
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ying Chen
- Department of Thoracic Surgery, The People's Hospital of Gaozhou, Gaozhou, China.,Guangdong Esophageal Cancer Institute, Guangzhou, China
| | - Bomeng Wu
- Department of Thoracic Surgery, The People's Hospital of Gaozhou, Gaozhou, China.,Guangdong Esophageal Cancer Institute, Guangzhou, China
| | - Xiaolin Gong
- Department of Graduate School, Guangdong Medical University, Zhanjiang, China
| | - Weicheng Lu
- Department of Graduate School, Guangdong Medical University, Zhanjiang, China
| | - Wanli Lin
- Department of Thoracic Surgery, The People's Hospital of Gaozhou, Gaozhou, China.,Guangdong Esophageal Cancer Institute, Guangzhou, China
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He Y, Liang D, Du L, Guo T, Liu Y, Sun X, Wang N, Zhang M, Wei K, Shan B, Chen W. Clinical characteristics and survival of 5283 esophageal cancer patients: A multicenter study from eighteen hospitals across six regions in China. Cancer Commun (Lond) 2020; 40:531-544. [PMID: 32845581 PMCID: PMC7571391 DOI: 10.1002/cac2.12087] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 08/06/2020] [Indexed: 12/13/2022] Open
Abstract
Objective This study aimed to investigate the potential determining epidemiological and clinical risk factors affecting the survival of esophageal cancer (EC) patients across multiple hospitals in China. Methods This was a multicenter study comprising of newly diagnosed EC cases from Beijing, Hebei, Henan, Hubei, Zhejiang, and Guangdong Province of China. Their baseline characteristics and treatment methods data were collected from their medical records. The EpiData software was used for data quality control. The Kaplan‐Meier method was used to estimate their overall survival (OS), and the Cox's proportional hazard regression model was used to estimate hazard ratios (HR) and 95% confidence interval (CI). Results The 3‐ and 5‐year OS rates of the 5283 investigated EC patients were 49.98% and 39.07%, respectively. Their median survival was 36.00 months. The median survival time of females was longer than that of males (females vs. males: 45.00 vs. 33.00, P < 0.001). The 5‐year OS rate of patients who never‐smoked was higher than that of smokers (never‐smokers vs smokers: 40.73% vs. 37.84%, P = 0.001). There was no significant difference in the 5‐year OS rate between drinkers and never‐drinkers (drinkers vs never‐drinkers: 34.22% vs. 29.65%, P = 0.330). In multivariate analysis, pathological stage (stage II: HR = 1.80, 95% CI = 1.40‐2.31; stage III: HR = 2.62, 95% CI = 2.06‐3.34; stage IV: HR = 3.90, 95% CI = 2.98‐5.09), poor differentiation/undifferentiated (HR = 1.34, 95% CI = 1.11‐1.63), not married status (HR = 2.45, 95% CI = 1.49‐4.04), production and service personnel (HR = 1.36, 95% CI = 1.01‐1.83) and farming/fishing (HR = 1.40, 95% CI = 1.12‐1.76) were independent prognostic risk factors for poor EC survival. Tumors in the thoracic or abdominal part of the esophagus, female and family history of any cancer were independent factors predictive of a good EC OS. Conclusion Gender, marital status, occupation, family history of any cancer, tumor topographical site, differentiation status, and pathological stage were associated with the survival rate of EC. This study reveals important clinical characteristics of esophageal cancer patients in China and provides helpful information for their clinical management and surveillance.
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Affiliation(s)
- Yutong He
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China
| | - Di Liang
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China
| | - Lingbin Du
- Zhejiang Cancer Center, Hangzhou, Zhejiang, 310000, P. R. China
| | - Tiantian Guo
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China
| | - Yanyu Liu
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China
| | - Xibin Sun
- Henan Cancer Hospital, Zhengzhou, Henan, 450000, P. R. China
| | - Ning Wang
- Beijing Cancer Hospital, Beijing, 100021, P. R. China
| | - Min Zhang
- Hubei Cancer Hospital, Wuhan, Hubei, 430000, P. R. China
| | - Kuangrong Wei
- Zhongshan Cancer Hospital, Zhongshan, Guangdong, 528400, P. R. China
| | - Baoen Shan
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China
| | - Wanqing Chen
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100021, P. R. China
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Azizmohammad Looha M, Zarean E, Pourhoseingholi MA, Hosseini SV, Azimi T, Khodakarim S. Analyzing the Long-Term Survival of Patients with Colorectal Cancer: A Study Using Parametric Non-Mixture Cure Rate Models. INTERNATIONAL JOURNAL OF CANCER MANAGEMENT 2018; In Press. [DOI: 10.5812/ijcm.81681] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2024]
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