Multiomic Sequencing of Intermediate- to High-Risk Cutaneous Squamous Cell Carcinoma Identifies Critical Genes and Expression Patterns Associated with Disease and Poor Outcomes
- Shams Nassir 1, Miranda Yousif 1, Xing Li 2, Kevin J Severson 1, Alysia Hughes 1, Jacob Kechter 1, Angelina Hwang 1, Blake Boudreaux 1, Puneet Bhullar 1, Nan Zhang 3, Richard J Butterfield 4, Tao Ma 2, Zachary Leibovit-Reiben 1, Alyssa Stockard 1, Ewoma Ogbaudu 1, Collin M Costello 1, Steven A Nelson 1, David J DiCaudo 1, Aleksandar Sekulic 1, Christian L Baum 5, Mark R Pittelkow 1, Aaron R Mangold 1
- Shams Nassir 1, Miranda Yousif 1, Xing Li 2
- 1Department of Dermatology, Mayo Clinic, Scottsdale, Arizona, USA.
- 2Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
- 3Department of Research and Biostatistics, Mayo Clinic, Scottsdale, Arizona, USA.
- 4Department of Health Science and Research, Mayo Clinic, Scottsdale, Arizona, USA.
- 5Department of Dermatology, Mayo Clinic, Rochester, Minnesota, USA.
- 0Department of Dermatology, Mayo Clinic, Scottsdale, Arizona, USA.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study reveals key genetic mutations and transcriptional changes in cutaneous squamous cell carcinoma. A novel gene expression panel accurately predicts metastasis and survival, offering hope for improved patient outcomes.
Area Of Science
- Oncology
- Genomics
- Molecular Biology
Background
- Cutaneous squamous cell carcinoma (cSCC) is a prevalent human cancer with significant mortality.
- Current understanding of cSCC's transcriptional landscape concerning high-risk features and patient outcomes remains limited.
Purpose Of The Study
- To investigate stage-matched, outcome-differentiated cSCC using whole-exome and transcriptome sequencing.
- To identify key driver mutations, transcriptional pathways, and develop a gene expression panel for predicting cSCC prognosis.
Main Methods
- Whole-exome and transcriptome sequencing of cSCC samples.
- Bioinformatic analysis for driver mutations, pathway enrichment, and integrative analysis.
- Development and validation of a gene expression panel for metastasis and survival prediction.
Main Results
- Identified key driver mutations (e.g., TP53, CDKN2A, NOTCH1) and enriched pathways (e.g., UV response, cell cycle, immune signaling).
- Developed a 16-gene panel with high accuracy (90%) for predicting metastasis.
- Developed an 11-gene panel for overall survival prediction, demonstrating significant predictive power (HR=2.47).
Conclusions
- Integrative genomic and transcriptomic analysis provides critical insights into cSCC carcinogenesis.
- The developed gene expression panels offer promising tools for predicting metastasis and survival in cSCC patients.
- Further research can leverage these findings for targeted therapies and improved clinical management of cSCC.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.

