Tumor Heterogeneity in Endometrial Carcinoma: Practical Consequences

Pathobiology. 2018;85(1-2):35-40. doi: 10.1159/000475529. Epub 2017 Jun 15.

Abstract

Endometrial carcinoma (EC) shows intertumor heterogeneity, with several different histologic types differing in their morphologic and molecular features. There is also intratumoral morphologic heterogeneity, with different neoplastic cell components within the same tumor, with different morphologic and molecular features. In this article, we discuss the consequences of tumor heterogeneity in EC at the morphologic and molecular levels, by describing some illustrative examples produced by the research team. They are (1) morphologic heterogeneity in conventional EC and mixed tumors, (2) EC with microsatellite instability, (3) branched evolution as shown by exome sequencing analysis, (4) morphologic, molecular, and metabolomic differences between the tumor surface and myometrial invasion front, (5) tumor heterogeneity at the microenviromental level, (6) the sensitivity of endometrial aspirates to detect tumor heterogeneity in EC, and (7) sampling strategies to detect tumor heterogeneity in hysterectomy specimens. Tumor heterogeneity may have an important clinical impact, since it can be challenging to identify minor tumor cell populations that may have an impact on diagnosis, prognosis, and therapeutic decisions for patients with EC.

Keywords: Biomarker; Endometrial carcinoma; Endometrioid/serous tumors; Heterogeneity; Histologic type; Immunohistochemistry.

MeSH terms

  • Biomarkers, Tumor / genetics*
  • Biomarkers, Tumor / metabolism
  • Cell Lineage
  • Clonal Evolution
  • Endometrial Neoplasms / diagnosis
  • Endometrial Neoplasms / genetics*
  • Endometrial Neoplasms / metabolism
  • Endometrial Neoplasms / pathology
  • Exome / genetics
  • Female
  • Genetic Heterogeneity*
  • Humans
  • Metabolomics
  • Microsatellite Instability
  • Mutation
  • Ovarian Neoplasms / diagnosis
  • Ovarian Neoplasms / genetics*
  • Ovarian Neoplasms / metabolism
  • Ovarian Neoplasms / pathology
  • Phenotype
  • Prognosis
  • Proteomics
  • Tumor Microenvironment

Substances

  • Biomarkers, Tumor