Correlation of genetic variants and immunotherapy-combined modality with neoadjuvant therapy outcomes in microsatellite-stable rectal cancer.

e15640 Background: The variability in response to neoadjuvant therapy (NAT) challenges the implementation of non-operative strategies, such as the watch-and-wait (W&W) approach, for rectal cancer. This study aimed to evaluate clinical and genomic factors associated with NAT outcomes in microsatellite-stable (MSS) rectal cancer. Methods: This cross-sectional study retrospectively included 437 patients with rectal adenocarcinoma at Fudan University Shanghai Cancer Center between December 2019 and March 2023. Paired tumor and blood samples were sequenced using an 887-gene panel. Logistic and Cox regression analyses were performed to identify clinical and genetic risk factors associated with tumor response and long-term survival outcomes. Results: MSS patients accounted for 96·6% (422/437) of all enrolled patients. Among 335 evaluable MSS patients, 127 (37.9%) achieved a complete response (CR) after NAT. Multivariate analysis identified an immunotherapy-combined regimen (odds ratio [OR] = 4.0, 95% CI [2.22–7.38], p < 0.001), and mutation in SYNE1 (OR = 1.98, 95% CI [1.02–3.9], p = 0.04) as predictors of CR. Tumor location higher from the anal verge (OR = 0.51, 95% CI [1.02–3.9], p = 0.02) and mesorectal fascia involvement (OR = 0.34 95% CI [0.17,0.67], p = 0.001) were associated with lower CR rate. Alteration in SYNE1 were notably prevalent in CR patients treated with immunotherapy-combined NAT (). No clinical factors were associated with decreased overall survival (DFS) or overall survival (OS). Mutations in FAT1 and KRAS were associated with poorer long-term survival outcomes: FAT1 mutations were linked to decreased OS (OR = 9.61, 95% CI [1.91–48.41], p = 0.006), and KRAS mutations with decreased DFS (OR = 1.88, 95% CI [1.07–3.29], p = 0.03). Post-NAT metastases occurred in 20.2% of patients, with KRAS G12D mutation correlating with the lowest 2-year distant metastasis-free survival rate compared to other KRAS mutation subtypes and wild type ( p = 0.02). Conclusions: Our study demonstrates that an immunotherapy-combined regimen and specific genomic alterations significantly influence NAT outcomes in MSS rectal cancer, providing potential biomarkers to guide personalized treatment strategies.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.e15640
Primary Topic
Colorectal and Anal Carcinomas
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correlation of genetic variants and immunotherapy-combined modality with neoadjuvant therapy outcomes in microsatellite-stable rectal cancer.

Yan Wang, Juefeng Wan, Hui Zhang, Yaqi Wang et al.
Journal of Clinical Oncology
Colorectal and Anal Carcinomas
article

Correlation of genetic variants and immunotherapy-combined modality with neoadjuvant therapy outcomes in microsatellite-stable rectal cancer.

Yan Wang, Juefeng Wan, Hui Zhang, Yaqi Wang, Lijie Zhang, Zhen Zhang, Jingwen Wang, Lijun Shen, Fan Xia
article en

Abstract

e15640 Background: The variability in response to neoadjuvant therapy (NAT) challenges the implementation of non-operative strategies, such as the watch-and-wait (W&W) approach, for rectal cancer. This study aimed to evaluate clinical and genomic factors associated with NAT outcomes in microsatellite-stable (MSS) rectal cancer. Methods: This cross-sectional study retrospectively included 437 patients with rectal adenocarcinoma at Fudan University Shanghai Cancer Center between December 2019 and March 2023. Paired tumor and blood samples were sequenced using an 887-gene panel. Logistic and Cox regression analyses were performed to identify clinical and genetic risk factors associated with tumor response and long-term survival outcomes. Results: MSS patients accounted for 96·6% (422/437) of all enrolled patients. Among 335 evaluable MSS patients, 127 (37.9%) achieved a complete response (CR) after NAT. Multivariate analysis identified an immunotherapy-combined regimen (odds ratio [OR] = 4.0, 95% CI [2.22–7.38], p < 0.001), and mutation in SYNE1 (OR = 1.98, 95% CI [1.02–3.9], p = 0.04) as predictors of CR. Tumor location higher from the anal verge (OR = 0.51, 95% CI [1.02–3.9], p = 0.02) and mesorectal fascia involvement (OR = 0.34 95% CI [0.17,0.67], p = 0.001) were associated with lower CR rate. Alteration in SYNE1 were notably prevalent in CR patients treated with immunotherapy-combined NAT (). No clinical factors were associated with decreased overall survival (DFS) or overall survival (OS). Mutations in FAT1 and KRAS were associated with poorer long-term survival outcomes: FAT1 mutations were linked to decreased OS (OR = 9.61, 95% CI [1.91–48.41], p = 0.006), and KRAS mutations with decreased DFS (OR = 1.88, 95% CI [1.07–3.29], p = 0.03). Post-NAT metastases occurred in 20.2% of patients, with KRAS G12D mutation correlating with the lowest 2-year distant metastasis-free survival rate compared to other KRAS mutation subtypes and wild type ( p = 0.02). Conclusions: Our study demonstrates that an immunotherapy-combined regimen and specific genomic alterations significantly influence NAT outcomes in MSS rectal cancer, providing potential biomarkers to guide personalized treatment strategies.

Journal of Clinical OncologyVol. 43(16_suppl)
Fudan University Shanghai Cancer Center (CN)
National Natural Science Foundation of China, Wu Jieping Medical Foundation
Openalex Percentile: Top 79%
Colorectal and Anal Carcinomas
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.