Differentiation of ovarian serous carcinoma from ovarian clear cell carcinoma using a 10-gene signature selected by comprehensive gene expression analysis

Fukushima J Med Sci. 2024 Apr 26;70(2):65-73. doi: 10.5387/fms.23-00011. Epub 2024 Mar 15.

Abstract

Aim: Ovarian serous carcinoma (OSC) and ovarian clear cell carcinoma (OCCC) are two major histological types of epithelial ovarian carcinoma (EOC), each with different biological features and clinical behaviors. Although immunostaining is commonly used for differential diagnosis between OSC and OCCC, correct identification of EOC with mixed-type histology is sometimes a diagnostic challenge. The aim of the present study was to explore candidate genes as potential diagnostic biomarkers that distinguish OSC from OCCC.

Methods: A total of 57 surgical specimens were obtained from EOC patients who had previously undergone primary debulking surgery. Total RNAs were extracted from fresh-frozen tissues of EOC patients, and were used for comprehensive gene expression analysis using DNA microarray technology.

Results: Ten candidate genes, FXYD2, TMEM101, GABARAPL1, ARG2, GLRX, RBPMS, GDF15, PPP1R3B, TOB1, and GSTM3 were up-regulated in OCCC compared to OSC. All EOC patients were divided into two groups according to hierarchical clustering using a 10-gene signature.

Conclusion: Our data suggest that the 10 candidate genes would be an excellent marker for distinguishing OSC from OCCC. Furthermore, the molecular signatures of the 10 genes may enlighten us on the differences in carcinogenesis, and provide a theoretical basis for OCCC's resistance to chemotherapy in the future.

Keywords: comprehensive gene expression analysis; diagnosis; gene signature; ovarian clear cell carcinoma; ovarian serous carcinoma.

MeSH terms

  • Adenocarcinoma, Clear Cell* / genetics
  • Adenocarcinoma, Clear Cell* / pathology
  • Adult
  • Aged
  • Biomarkers, Tumor / genetics
  • Cystadenocarcinoma, Serous* / genetics
  • Cystadenocarcinoma, Serous* / pathology
  • Diagnosis, Differential
  • Female
  • Gene Expression Profiling
  • Humans
  • Middle Aged
  • Ovarian Neoplasms* / genetics
  • Ovarian Neoplasms* / pathology

Substances

  • Biomarkers, Tumor