Long-term survival and biomarker analysis of neoadjuvant chemoradiotherapy with or without PD-1 antibody sintilimab in pMMR locally advanced rectal cancer: A randomized clinical trial.
Abstract
3610 Background: We previously reported that adding sintilimab to neoadjuvant chemoradiotherapy (NACRT) significantly improved the complete response (CR) rate compared to NACRT in mismatch repair-proficient (pMMR) locally advanced rectal cancer (LARC) patients (44.8% vs. 26.9%; P = 0.031). Here, we present the long-term survival outcomes and exploratory biomarker analyses from this randomized trial. Methods: Between June 2020 and July 2022, a total of 134 patients with pMMR LARC were randomly assigned (1:1) to the experimental arm (NACRT plus sintilimab, n = 67) or the control arm (NACRT, n = 67). The primary endpoint was CR rate. Secondary endpoints included disease-free survival (DFS) and overall survival (OS). Survival analysis was estimated using the Kaplan-Meier method and compared using the log-rank test. Hazard ratios (HR) were calculated using the Cox proportional hazards model. Baseline tumor and blood samples were collected for whole exome sequencing. Results: With a median follow-up of 48.5 months, the experimental arm exhibited significantly superior 3-year DFS compared to the control arm (91.0% vs. 77.6%; HR = 0.37, 95% CI: 0.14-0.94, log-rank P = 0.030). Analysis of failure patterns showed lower rates of both local recurrence (1.5% [1/67] vs 3.0% [2/67] and distant metastases (9.0% [6/67] vs. 19.4%[13/67]) in the experimental arm. Notably, liver metastases were more frequent in the control arm (1.5% [1/67] vs. 9.0% [6/67]). Subgroup analyses identified a pronounced DFS benefit from combination therapy in patients aged > 50 years (HR = 0.24, 95% CI: 0.07-0.86, P = 0.029) and those with extramural venous invasion (EMVI)-positive tumors (HR = 0.26, 95% CI: 0.09-0.81, P = 0.020). Notably, achieving a CR was consistently associated with a trend toward prolonged DFS in both the experimental (log-rank P = 0.129) and control arms (log-rank P = 0.145). In exploratory biomarker analysis, patients harboring MUC16 mutations in the experimental arm exhibited a trend toward improved DFS, although statistical significance was not reached (log-rank P = 0.318); conversely, no such trend was observed in the wild-type population (log-rank P = 0.496). The 3-year OS rates were 97.0% in both groups (log-rank P = 0.977). Conclusions: Adding PD-1 antibody to NACRT conferred a superior DFS benefit compared to NACRT in patients with pMMR LARC, particularly in older patients and those with EMVI-positive tumors, and potentially influenced the pattern of metastasis. MUC16 mutations warrant further investigation as a potential predictive biomarker for sensitivity to the combination therapy. Clinical trial information: NCT04304209 .
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (19)
Weiwei Xiao
Gong Chen
State Key Laboratory and Institute of Elemento-Organic Chemistry, College of Chemistry
Yuan-Hong Gao
Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China
Jun-Zhong Lin
Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou, China
Xiao Jun Wu
Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou, China
Huilong Luo
Zhen-Hai Lu
Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou, China
Qiaoxuan Wang
MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and Engineering Zhejiang University Hangzhou 310058 China
Rui Sun
Peiqiang Cai
Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
Chong-Mei Zhu
Sun Yat-sen University Cancer Center, Guangzhou, China
Min Liu
Jibin Li
Department of Clinical Research, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
Yirui Wang
Ying Jin
Feng Wang
Haitao Luo
Kindstar Global Precision Medicine Institute, Shenzhen, Guangdong, China
Zhizhong Pan
Rui-Hua Xu