Integrated analysis of the E2F transcription factors across cancer types

Oncol Rep. 2020 Apr;43(4):1133-1146. doi: 10.3892/or.2020.7504. Epub 2020 Feb 17.

Abstract

E2F transcription factors are associated with the development of cancer. However, the E2F family genes have not yet been studied in a comprehensive manner. Using The Cancer Genome Atlas, the present study analyzed the functions of the E2F family genes across different types of tumor. It was revealed that compared with normal tissues, the E2F family genes are highly expressed in several types of tumor tissue. Furthermore, E2F transcription factors were significantly enriched in tumor samples across different types of tumor. The high expression levels of E2F family genes were associated with an unfavorable prognosis in liver hepatocellular carcinoma (LIHC) and lung adenocarcinoma (LUAD). Furthermore, patients with pathological T1 stage and iCluster2 molecular subtype of LIHC expressed particularly low levels of E2F family genes. The present study demonstrated that hypo‑DNA methylation, DNA amplification and TP53 mutation contributed to the high expression levels of E2F family genes in cancer cells. Finally, the present study revealed that, compared with other types of tumor, the E2F family genes were specifically downregulated in patients with LIHC. The expression levels and prognostic effects of the E2F family genes were validated using the Gene Expression Omnibus database. The results of the present study revealed the biological functions of E2F family genes in the development of cancer and provided potential biomarkers for further therapeutic studies, particularly for patients with LIHC and LUAD.

Keywords: The Cancer Genome Atlas; E2F transcription factors; liver hepatocellular carcinoma; lung adenocarcinoma; pan-cancer.

MeSH terms

  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism*
  • Computational Biology / methods
  • DNA Methylation
  • Databases, Genetic
  • E2F Transcription Factors / genetics
  • E2F Transcription Factors / metabolism*
  • Gene Amplification
  • Gene Expression Profiling / methods
  • Gene Expression Regulation, Neoplastic*
  • Humans
  • Neoplasms / genetics
  • Neoplasms / metabolism
  • Neoplasms / pathology*
  • Prognosis
  • Survival Rate
  • Tumor Suppressor Protein p53 / genetics

Substances

  • Biomarkers, Tumor
  • E2F Transcription Factors
  • TP53 protein, human
  • Tumor Suppressor Protein p53