The transcriptional landscape analysis of basal cell carcinomas reveals novel signalling pathways and actionable

Ivan V Litvinov1, Pingxing Xie2, Scott Gunn2

  • 1Division of Dermatology, Department of Medicine, McGill University, Montreal, Canada ivan.litvinov@mcgill.ca.

Insights

This study deciphers the gene expression of basal cell carcinoma (BCC), revealing new therapeutic targets for this common skin cancer. Findings offer novel pathways for managing aggressive and resistant BCC tumors.

Area of Science:

  • Oncology
  • Dermatology
  • Genomics

Background:

  • Basal cell carcinoma (BCC) is the most common human malignancy, with most cases manageable but some exhibiting aggressive local behavior, metastasis, or resistance to therapies like Sonic Hedgehog inhibitors.
  • The transcriptional landscape of BCC remains incompletely understood, hindering the development of targeted treatments for advanced or resistant forms of this prevalent skin cancer.

Purpose of the Study:

  • To identify novel differentially regulated genes and targetable pathways in basal cell carcinoma (BCC) by analyzing RNA sequencing data.
  • To explore potential therapeutic avenues for BCC, including drug repurposing, by understanding its transcriptional landscape in relation to clinical features.
  • To validate identified targets as potential biomarkers in patient-derived BCC tumors.

Main Methods:

  • Analysis of basal cell carcinoma (BCC) RNA sequencing data stratified by clinical features: all BCCs vs. normal skin, high-risk vs. low-risk BCCs, advanced vs. non-advanced BCCs, and vismodegib-resistant vs. vismodegib-sensitive tumors.
  • Identification of differentially regulated genes and pathways implicated in BCC tumorigenesis.
  • Experimental validation of selected targets as biomarkers in a patient-derived cohort of primary BCC tumors.

Main Results:

  • Novel differentially regulated genes and targetable pathways were identified in BCC.
  • Key pathways implicated in BCC tumorigenesis include IL-17, TLR, Akt/PI3K, cadherins, integrins, PDGF, and Wnt/β-catenin.
  • Several identified targets were experimentally validated as biomarkers in patient-derived BCC tumors.

Conclusions:

  • The transcriptional landscape analysis provides new insights into BCC tumorigenesis.
  • Identified pathways represent promising therapeutic avenues for managing BCC, including potential for drug repurposing.
  • Validated targets offer potential as biomarkers for BCC management.

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