A recurrence‐predictive model based on eight genes and tumor mutational burden/microsatellite instability status in Stage II/III colorectal cancer

Author:

Gao Zhaoya1,Wan Zhiyi2,Yu Pengfei3,Shang Yan4,Zhu Guangsheng5,Jiang Huiyuan6,Chen Yawei2,Wang Shengzhou2,Lei Fuming7,Huang Wensheng7,Zeng Qingmin7,Wang Yanzhao7,Rong Wanshui7,Hong Yuming7,Gao Qingkun7,Niu Pengfei7,Zhai Zhichao7,An Ke7,Ding Changmin7,Wang Yunfan8,Gu Guoli3,Wang Xin1,Meng Qingkai4,Ye Shengwei5,Liu Haiyi6,Gu Jin791011ORCID

Affiliation:

1. Department of General Surgery Peking University First Hospital Beijing China

2. Genecast Biotechnology Co., Ltd. Wuxi City Jiangsu Province China

3. Department of General Surgery Air Force Medical Center, Chinese People's Liberation Army Beijing China

4. Department of Colorectal Surgery Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute Shenyang Liaoning Province China

5. Department of Gastrointestinal Surgery Hubei Cancer Hospital Wuhan Hubei Province China

6. Department of Colorectal and Anal Surgery Shanxi Province Cancer Hospital/ Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University Taiyuan Shanxi Province China

7. Department of Gastrointestinal Surgery Peking University Shougang Hospital Beijing China

8. Department of Pathology Peking University Shougang Hospital Beijing China

9. Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Surgery Peking University Cancer Hospital & Institute Beijing China

10. Peking‐Tsinghua Center for Life Sciences Peking University Beijing China

11. Peking University International Cancer Institute Beijing China

Abstract

AbstractBackgroundAlthough adjuvant chemotherapy (ACT) is widely used to treat patients with Stage II/III colorectal cancer (CRC), administering ACT to specific patients remains a challenge. The decision to ACT requires an accurate assessment of recurrence risk and absolute treatment benefit. However, the traditional TNM staging system does not accurately assess a patient's individual risk of recurrence.MethodsTo identify recurrence risk‐related genetic factors for Stage II/III CRC patients after radical surgery, we conducted an analysis of whole‐exome sequencing of 47 patients with Stage II/III CRC who underwent radical surgery at five institutions. Patients were grouped into non‐recurrence group (NR, n = 24, recurrence‐free survival [RFS] > 5 years) and recurrence group (R, n = 23, RFS <2 years). The TCGA‐COAD/READ cohort was employed as the validation dataset.ResultsA recurrence‐predictive model (G8plus score) based on eight gene (CUL9, PCDHA12, HECTD3, DCX, SMARCA2, FAM193A, AATK, and SORCS2) mutations and tumor mutation burden/microsatellite instability (TMB/MSI) status was constructed, with 97.87% accuracy in our data and 100% negative predictive value in the TCGA‐COAD/READ cohort. For the TCGA‐COAD/READ cohort, the G8plus‐high group had better RFS (HR = 0.22, p = 0.024); the G8plus‐high tumors had significantly more infiltrated immune cell types, higher tertiary lymphoid structure signature scores, and higher immunological signature scores. The G8plus score was also a predict biomarker for immunotherapeutic in advanced CRC in the PUCH cohort.ConclusionsIn conclusion, the G8plus score is a powerful biomarker for predicting the risk of recurrence in patients with stage II/III CRC. It can be used to stratify patients who benefit from ACT and immunotherapy.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

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