4.7 Article

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

Journal

CLINICAL CANCER RESEARCH
Volume 27, Issue 5, Pages 1329-1340

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-20-3445

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Funding

  1. National Natural Science Foundation of China [81773357, 81920108026, 81871964]
  2. Shanghai ACA Foundation [SACACY19B04]
  3. Fudan University Shanghai Cancer Center Foundation [YJQN201921]
  4. Shanghai Young Top Talents [QNBJ1701]
  5. Shanghai Science and Technology Development Foundation [19410713300]
  6. CSCO-Roche Tumor Research Foundation [Y-2019Roche-079]

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The gut microbiome undergoes significant changes during nCRT, with microbes related to butyrate production being overrepresented in responders and certain microbes being overrepresented in nonresponders. A prediction classifier for nCRT response was established, showing high predictive accuracy in the training cohort.
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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