Diagnostic, prognostic, and immunological roles of CDSN in ovarian cancer

Huan Zeng1, Wei Pan2, Qiuyi Xia3

  • 1Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, 530021, China.

Heliyon
|July 19, 2024
PubMed

Insights

Researchers identified three key genes (CDSN, WARS, CD38) linked to ovarian cancer (OC) mutations and prognosis. CDSN shows promise as a diagnostic biomarker and therapeutic target, impacting OC cell proliferation.

Area of Science:

  • Oncology
  • Genomics
  • Immunology

Background:

  • Ovarian cancer (OC) is a leading cause of cancer mortality in women globally.
  • Immunotherapy efficacy in OC is often hindered by the tumor immune microenvironment.
  • Novel diagnostic, prognostic, and therapeutic targets for OC are urgently needed.

Purpose of the Study:

  • To identify and validate candidate genes as biomarkers and therapeutic targets for ovarian cancer.
  • To investigate the association of these genes with mutations, prognosis, and immune infiltration in OC.

Main Methods:

  • Utilized The Cancer Genome Atlas (TCGA) data for gene differential analysis, mutation, and survival analysis.
  • Conducted immune infiltration analysis, receiver operating characteristic (ROC) curve analysis, and immunohistochemistry.
  • Performed in vitro assays (CCK-8, colony formation, apoptosis) to assess the functional impact of CDSN.

Main Results:

  • Identified CDSN, WARS, and CD38 as highly expressed genes in OC, significantly associated with mutations and prognosis.
  • These genes correlated with tumor immune infiltration, particularly in antigen-presenting cells.
  • ROC analysis showed high diagnostic potential (AUC > 0.8) for all three genes; CDSN knockdown reduced OC cell proliferation.

Conclusions:

  • CDSN, WARS, and CD38 are promising diagnostic and prognostic biomarkers for ovarian cancer.
  • CDSN demonstrates potential as a therapeutic target due to its association with proliferation and immune infiltration.
  • Further validation of these genes could improve ovarian cancer management and treatment strategies.