Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer

Author:

Liu ZhenyuORCID,Meng Xiaochun,Zhang Hongmei,Li Zhenhui,Liu Jiangang,Sun Kai,Meng Yankai,Dai Weixing,Xie Peiyi,Ding Yingying,Wang MeiyunORCID,Cai GuoxiangORCID,Tian JieORCID

Abstract

AbstractDistant metastasis (DM) is the main cause of treatment failure in locally advanced rectal cancer. Adjuvant chemotherapy is usually used for distant control. However, not all patients can benefit from adjuvant chemotherapy, and particularly, some patients may even get worse outcomes after the treatment. We develop and validate an MRI-based radiomic signature (RS) for prediction of DM within a multicenter dataset. The RS is proved to be an independent prognostic factor as it not only demonstrates good accuracy for discriminating patients into high and low risk of DM in all the four cohorts, but also outperforms clinical models. Within the stratified analysis, good chemotherapy efficacy is observed for patients with pN2 disease and low RS, whereas poor chemotherapy efficacy is detected in patients with pT1–2 or pN0 disease and high RS. The RS may help individualized treatment planning to select patients who may benefit from adjuvant chemotherapy for distant control.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

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