Pan-cancer clinical and molecular analysis of racial disparities

Cancer. 2020 Feb 15;126(4):800-807. doi: 10.1002/cncr.32598. Epub 2019 Nov 15.

Abstract

Background: Racial disparities in cancer outcomes are increasingly recognized, but comprehensive analyses, including molecular studies, are limited. The objective of the current study was to perform a pan-cancer clinical and epigenetic molecular analysis of outcomes in African American (AA) and European American (EA) patients.

Methods: Cross-platform analyses using cancer databases (the Surveillance, Epidemiology, and End Results program database and the National Cancer Data Base) and a molecular database (The Cancer Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic molecular differences between AA and EA patients based on genetic ancestry.

Results: In the primary pan-cancer survival analysis using the Surveillance, Epidemiology, and End Results database (2,045,839 patients; 87.5% EA and 12.5% AA), AA patients had higher mortality rates for 28 of 42 cancer types analyzed (hazard ratio, >1.0). AAs continued to have higher mortality in 13 cancer types after adjustment for socioeconomic variables using the National Cancer Database (5,150,023 patients; 11.6% AA and 88.4% EA). Then, molecular features of 5,283 tumors were analyzed in patients who had genetic ancestry data available (87.2% EA and 12.8% AA). Genes were identified with altered DNA methylation along with increased microRNA expression levels unique to AA patients that are associated with cancer drug resistance. Increased miRNAs (miR-15a, miR-17, miR-130-3p, miR-181a) were noted in common among AAs with breast, kidney, thyroid, or prostate carcinomas.

Conclusions: The current results identified epigenetic features in AA patients who have cancer that may contribute to higher mortality rates compared with EA patients who have cancer. Therefore, a focus on molecular signatures unique to AAs may identify actionable molecular abnormalities.

Keywords: African Americans; RNA; epigenomics; health care disparities; long noncoding; microRNAs; pan-cancer.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Black or African American / genetics*
  • Black or African American / statistics & numerical data
  • Epigenesis, Genetic / genetics*
  • Female
  • Health Status Disparities*
  • Humans
  • Incidence
  • Male
  • MicroRNAs / genetics*
  • Middle Aged
  • Neoplasms / epidemiology
  • Neoplasms / ethnology
  • Neoplasms / genetics*
  • SEER Program / statistics & numerical data
  • Survival Analysis
  • United States / epidemiology
  • White People / genetics*
  • White People / statistics & numerical data

Substances

  • MicroRNAs