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Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer

  • Zhenyu Liu
  • , Xiaochun Meng
  • , Hongmei Zhang
  • , Zhenhui Li
  • , Jiangang Liu
  • , Kai Sun
  • , Yankai Meng
  • , Weixing Dai
  • , Peiyi Xie
  • , Yingying Ding
  • , Meiyun Wang*
  • , Guoxiang Cai*
  • , Jie Tian*
  • *Corresponding author for this work
  • CAS - Institute of Automation
  • Chinese Academy of Sciences
  • University of Chinese Academy of Sciences
  • Sixth Affiliated Hospital of Sun Yat-Sen University
  • Chinese Academy of Medical Sciences
  • The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital)
  • Xidian University
  • Fudan University
  • Henan Provincial People's Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Distant 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.

Original languageEnglish
Article number4308
JournalNature Communications
Volume11
Issue number1
DOIs
StatePublished - 1 Dec 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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