The rise of a novel classification system for endometrial carcinoma; integration of molecular subclasses

J Pathol. 2018 Apr;244(5):538-549. doi: 10.1002/path.5034. Epub 2018 Feb 28.

Abstract

Endometrial cancer is a clinically heterogeneous disease and it is becoming increasingly clear that this heterogeneity may be a function of the diversity of the underlying molecular alterations. Recent large-scale genomic studies have revealed that endometrial cancer can be divided into at least four distinct molecular subtypes, with well-described underlying genomic aberrations. These subtypes can be reliably delineated and carry significant prognostic as well as predictive information; embracing and incorporating them into clinical practice is thus attractive. The road towards the integration of molecular features into current classification systems is not without obstacles. Collaborative studies engaging research teams from across the world are working to define pragmatic assays, improve risk stratification systems by combining molecular features and traditional clinicopathological parameters, and determine how molecular classification can be optimally utilized to direct patient care. Pathologists and clinicians caring for women with endometrial cancer need to engage with and understand the possibilities and limitations of this new approach, because integration of molecular classification of endometrial cancers is anticipated to become an essential part of gynaecological pathology practice. This review will describe the challenges in current systems of endometrial carcinoma classification, the evolution of new molecular technologies that define prognostically distinct molecular subtypes, and potential applications of molecular classification as a step towards precision medicine and refining care for individuals with the most common gynaecological cancer in the developed world. Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Keywords: TCGA; endometrial cancer; molecular classification; molecular diagnostic test; prognostic biomarkers.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Biomarkers, Tumor / genetics*
  • Carcinoma / classification*
  • Carcinoma / genetics*
  • Carcinoma / pathology
  • Carcinoma / therapy
  • Clinical Decision-Making
  • Databases, Genetic
  • Endometrial Neoplasms / classification*
  • Endometrial Neoplasms / genetics*
  • Endometrial Neoplasms / pathology
  • Endometrial Neoplasms / therapy
  • Female
  • Genetic Predisposition to Disease
  • Genome, Human
  • Genomics / methods*
  • Humans
  • Pathology, Molecular / methods*
  • Phenotype
  • Predictive Value of Tests
  • Prognosis
  • Terminology as Topic*

Substances

  • Biomarkers, Tumor