MicroRNAs in penile cancer: challenges, opportunities, and translational perspectives

Tatiane K Furuya1, Alexis Gm Carrasco1, Miyuki Uno1

  • 1Center for Translational Research in Oncology (LIM24), Instituto do Câncer do Estado de São Paulo (ICESP), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil; Comprehensive Center for Precision Oncology, Universidade de São Paulo (USP), Sao Paulo, SP, Brazil.

Insights

MicroRNAs (miRNAs) are key regulators in penile cancer (PeCa) development. Further research is needed to validate these microRNAs as diagnostic and therapeutic biomarkers for improved PeCa management.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • MicroRNAs (miRNAs) are small non-coding RNAs regulating gene expression.
  • Dysregulated miRNA expression is linked to cancer development and progression.
  • Penile cancer (PeCa) is a rare but aggressive malignancy where miRNAs play a role.

Purpose of the Study:

  • To review current knowledge on miRNA involvement in penile cancer.
  • To highlight miRNAs as potential diagnostic, prognostic, and therapeutic biomarkers.
  • To discuss challenges and future directions for miRNA research in PeCa.

Main Methods:

  • Comprehensive literature review of studies on miRNA expression in PeCa.
  • Emphasis on molecular mechanisms, HPV association, clinical correlations, and technology.
  • Inclusion of high-throughput sequencing and bioinformatics analyses.

Main Results:

  • Several miRNAs are differentially expressed in PeCa, correlating with aggressiveness and HPV infection.
  • Identified miRNAs show potential links to patient prognosis.
  • Challenges include small cohorts, lack of functional validation, and geographic disparities in research.

Conclusions:

  • MicroRNAs show promise as diagnostic, prognostic, and therapeutic biomarkers for PeCa.
  • Clinical translation requires larger, standardized, and functionally validated studies.
  • Integrating multi-omics and AI can accelerate biomarker discovery and personalize PeCa management.