Cutaneous Squamous Cell Carcinoma Arising in Immunosuppressed Patients: A Systematic Review of Tumor Profiling Studies.

Abstract

As solid organ transplantation becomes more prevalent, more individuals are living as members of the immunosuppressed population with an elevated risk for cutaneous squamous cell carcinoma (cSCC). Although great progress has been made in understanding the pathogenesis of cSCC in general, little is known about the drivers of tumorigenesis in immunosuppressed patients and organ-transplant recipients, specifically. This systematic review sought to synthesize information regarding the genetic and epigenetic alterations as well as changes in protein and mRNA expression that place this growing population at risk for cSCC, influence treatment response, and promote tumor aggressiveness. This review will provide investigators with a framework to identify future areas of investigation and clinicians with additional insight into how to best manage these patients.

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Citation

Published Version (Please cite this version)

10.1016/j.xjidi.2022.100126

Publication Info

Blue, Elliot D, S Caleb Freeman, Marissa B Lobl, Dillon D Clarey, Rose L Fredrick, Ashley Wysong and Melodi Javid Whitley (2022). Cutaneous Squamous Cell Carcinoma Arising in Immunosuppressed Patients: A Systematic Review of Tumor Profiling Studies. JID innovations : skin science from molecules to population health, 2(4). p. 100126. 10.1016/j.xjidi.2022.100126 Retrieved from https://hdl.handle.net/10161/26066.

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Scholars@Duke

Whitley

Melodi Javid Whitley

Assistant Professor of Dermatology

Melodi Javid Whitley, MD, PhD
Assistant Professor of Dermatology
Assistant Program Director for Trainee Research
Director of Transplant Dermatology

I am a physician scientist focused on the dermatologic care of solid organ transplant recipients.  Clinically, I manage the the complex dermatologic side effects of immunosuppression with a focus on high-risk skin cancer.  My research focuses on understanding the drivers of cutaneous malignancy in this population using translational approaches.


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