Enhanced metastatic risk assessment in cutaneous squamous cell carcinoma with the 40-gene expression profile test

Sherrif F. Ibrahim, Julia M. Kasprzak, Mary A. Hall, Alison L. Fitzgerald, Jennifer J. Siegel, Sarah J. Kurley, Kyle R. Covington, Matthew S. Goldberg, Aaron S. Farberg, Shannon C. Trotter, Kenneth Reed, David G. Brodland, Shlomo A. Koyfman, Ally Khan Somani, Sarah T. Arron, Ashley Wysong

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Aim: To clinically validate the 40-gene expression profile (40-GEP) test for cutaneous squamous cell carcinoma patients and evaluate coupling the test with individual clinicopathologic risk factor-based assessment methods. Patients & methods: In a 33-site study, primary tumors with known patient outcomes were assessed under clinical testing conditions (n = 420). The 40-GEP results were integrated with clinicopathologic risk factors. Kaplan-Meier and Cox regression analyses were performed for metastasis. Results: The 40-GEP test demonstrated significant prognostic value. Risk classification was improved via integration of 40-GEP results with clinicopathologic risk factor-based assessment, with metastasis rates near the general cutaneous squamous cell carcinoma population for class 1 and ≥50% for class 2B. Conclusion: Combining molecular profiling with clinicopathologic risk factor assessment enhances stratification of cutaneous squamous cell carcinoma patients and may inform decision-making for risk-appropriate management strategies.

Original languageEnglish
Pages (from-to)833-847
Number of pages15
JournalFuture Oncology
Volume18
Issue number7
DOIs
StatePublished - Mar 2022

Keywords

  • clinicopathologic risk factors
  • cutaneous squamous cell carcinoma
  • gene expression profile
  • informed decision-making
  • metastasis/metastatic risk

Fingerprint

Dive into the research topics of 'Enhanced metastatic risk assessment in cutaneous squamous cell carcinoma with the 40-gene expression profile test'. Together they form a unique fingerprint.

Cite this