[Immune response and digestive cancers: Prognostic and therapeutic implications]

Ann Pathol. 2017 Feb;37(1):111-116. doi: 10.1016/j.annpat.2016.12.008. Epub 2017 Jan 19.
[Article in French]

Abstract

The aim of this article is to emphasize the impact of the immune response in digestive cancers, especially from colorectal (CRC) origin. In this setting, an adaptive lymphocytic infiltrate underlines the prognostic impact of the immune response, because it is associated to a favorable outcome. The next challenge will be to validate, in a prospective therapeutic trial, the integration of the immune response as decisional parameter for adjuvant therapy. The immune response is also a predictive parameter in microsatellite instable metastatic CRC, characterized by an adaptive lymphocytic infiltrate, leading to a very high response rate to immune therapies. However, prognostic and predictive biomarkers still need to be optimized in order to better select patients. These data are also valuable for digestive non-colorectal cancers, which are briefly analyzed. The methodology for the assessment of these prognostic and predictive biomarkers, which represents an important issue in precision medicine, is also discussed.

Keywords: Cancers colorectaux; Cancers digestifs; Colorectal cancer; Digestive cancer; Immune response; Prediction; Prognostic; Pronostic; Prédiction; Réponse immune.

Publication types

  • Review

MeSH terms

  • Adenocarcinoma / genetics
  • Adenocarcinoma / immunology
  • Adenocarcinoma / pathology
  • Adenocarcinoma / therapy
  • Biomarkers, Tumor
  • Colorectal Neoplasms / genetics
  • Colorectal Neoplasms / immunology
  • Colorectal Neoplasms / pathology
  • Colorectal Neoplasms / therapy
  • Digestive System Neoplasms / genetics
  • Digestive System Neoplasms / immunology*
  • Digestive System Neoplasms / therapy
  • Humans
  • Immunohistochemistry
  • Immunotherapy / methods*
  • Lymphocytes, Tumor-Infiltrating / immunology
  • Microsatellite Instability
  • Mutation
  • Neoplasm Proteins / physiology
  • Precision Medicine
  • Prognosis
  • Transcriptome

Substances

  • Biomarkers, Tumor
  • Neoplasm Proteins