Gut Microbiome Components Predict Response to Neoadjuvant Chemoradiotherapy in Patients with Locally Advanced Rectal Cancer: A Prospective, Longitudinal Study

蔷薇花 医学 微生物群 结直肠癌 队列 内科学 肿瘤科 置信区间 癌症 前瞻性队列研究 生物信息学 生物 乳酸菌 遗传学 细菌
作者
Yuxi Yi,Lijun Shen,Wei Shi,Fan Xia,Hui Zhang,Yan Wang,Jing Zhang,Yaqi Wang,Xiaoyang Sun,Zhiyuan Zhang,Wei Zou,Yang Wang,Lingyi Zhang,Ji Zhu,Ajay Goel,Yanlei Ma,Zhen Zhang
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:27 (5): 1329-1340 被引量:198
标识
DOI:10.1158/1078-0432.ccr-20-3445
摘要

Abstract Purpose: The gut microbiome is involved in antitumor immunotherapy and chemotherapy responses; however, evidence-based research on the role of gut microbiome in predicting response to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC) remains scarce. This prospective, longitudinal study aimed to evaluate the feasibility of the gut microbiome in predicting nCRT responses. Experimental Design: We collected 167 fecal samples from 84 patients with LARC before and after nCRT and 31 specimens from healthy individuals for 16S rRNA sequencing. Patients were divided into responders and nonresponders according to pathologic response to nCRT. After identifying microbial biomarkers related to nCRT responses, we constructed a random forest classifier for nCRT response prediction of a training cohort of baseline samples from 37 patients and validated the classifier in another cohort of 47 patients. Results: We observed significant microbiome alterations represented by a decrease in LARC-related pathogens and an increase in Lactobacillus and Streptococcus during nCRT. Furthermore, a prominent microbiota difference between responders and nonresponders was noticed in the baseline samples. Microbes related with butyrate production, including Roseburia, Dorea, and Anaerostipes, were overrepresented in responders, whereas Coriobacteriaceae and Fusobacterium were overrepresented in nonresponders. Ten biomarkers were selected for the response-prediction classifier, including Dorea, Anaerostipes, and Streptococcus, which yielded an area under the curve value of 93.57% [95% confidence interval (CI), 85.76%–100%] in the training cohort and 73.53% (95% CI, 58.96%–88.11%) in the validation cohort. Conclusions: The gut microbiome offers novel potential biomarkers for predicting nCRT responses, which has important manifestations in the clinical management of these patients.
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