Temporal Change in Treatment Patterns of Metastatic Colorectal Cancer and Its Association with Patient Survival: A Retrospective Cohort Study Based on an Intelligent Big-Data Platform
Zi-Xian Wang,
Yi-Chen Yao,
Zong-Jiong Mai,
Wu-Hao Lin,
You-Sheng Huang,
Ying Jin,
Hui-Yan Luo,
Dong-Sheng Zhang,
Feng-Hua Wang,
Feng Wang,
Gong Chen,
Pei-Rong Ding,
Yun-Fei Yuan,
Yu-Hong Li,
Jin-Hua Huang,
Zhi-Zhong Pan,
Rui-Hua Xu
Affiliations
Zi-Xian Wang
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Artificial Intelligence Laboratory, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
Yi-Chen Yao
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
Zong-Jiong Mai
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
Wu-Hao Lin
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
You-Sheng Huang
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
Ying Jin
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Artificial Intelligence Laboratory, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
Hui-Yan Luo
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Artificial Intelligence Laboratory, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
Dong-Sheng Zhang
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
Feng-Hua Wang
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
Feng Wang
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
Gong Chen
Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
Pei-Rong Ding
Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
Yun-Fei Yuan
Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Department of Hepatobiliary Surgery, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
Yu-Hong Li
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
Jin-Hua Huang
Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Department of Minimally Invasive Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
Zhi-Zhong Pan
Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
Rui-Hua Xu
Department of Medical Oncology, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Artificial Intelligence Laboratory, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Corresponding author.
There is a lack of high-quality, large-scale, real-world evidence from patients with metastatic colorectal cancer (mCRC), especially in China. It remains unclear whether efforts to improve the quality of care for mCRC would improve patient survival outcomes in real-world practice. On the basis of an intelligent big-data platform, we established a large-scale retrospective cohort of mCRC patients. We investigated the temporal changes in the systemic and local treatment (resection, ablation, or radiation to liver, lung, or extrahepatic and/or extrapulmonary metastases) patterns of mCRC, and whether these changes were associated with improved overall survival (OS) over time. Between July 2012 and December 2018, 3403 eligible patients were included in this research. The median OS was 42.8 months (95% confidence interval (CI), 40.7–46.6) for the entire cohort, 25.6 months (95% CI, 24.7–26.9) for those treated with systemic therapy only, and not reached (95% CI, 78.6 months–not reached) for those receiving local therapy. The utility rate of local therapy increased continuously from 37.9% in 2012–2014 to 46.9% in 2017–2018. A dramatic increase in the utility rate of either cetuximab or bevacizumab was observed since 2017 (39.9%, 43.2%, and 60.3% in 2012–2014, 2015–2016, and 2017–2018, respectively). Compared with 2012–2014, the OS of the entire population significantly improved in 2015–2016 (hazard ratio (HR) = 0.87 (95% CI, 0.78–0.99); P = 0.034), but not for patients receiving systemic therapy only (HR = 0.99 (95% CI, 0.86–1.14); P = 0.889), whereas an improved OS was found in 2015–2018 for both the entire population (HR = 0.75 (95% CI, 0.70–0.81); P < 0.001) and for patients receiving systemic therapy only (HR = 0.83 (95% CI, 0.77–0.91); P < 0.001). In summary, the quality of care for mCRC, as indicated by the utility rate of targeted and local therapies, has been continuously improving over time in this study cohort, which is associated with continuously improving survival outcomes for these patients.