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Using Gene Expression Profiling to Personalize Skin Cancer Management

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Date 2022 Nov 21
PMID 36405422
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Abstract

Risk-stratification of cancer, traditionally performed through staging, directs optimal disease management decisions with the result of improved patient outcomes. Many forms of cutaneous cancer have overall excellent survival rates, but conventional staging methods are imperfect in identifying high-risk patients. Gene expression profiling (GEP) is a clinically available, objective metric that can be used in conjunction with traditional clinicopathological staging to help clinicians stratify risk in patients with skin cancer, even in those who lack traditional risk markers. For patients with melanoma, the 31-GEP test provides personalized prognostic information that can guide risk-appropriate clinical management and surveillance decisions. The i31-GEP integrates 31-GEP results with clinicopathological features to provide a risk of recurrence (i31-GEP for ROR) and likelihood of having a positive sentinel lymph node biopsy (SLNB) (i31-GEP for SLNB) for patients with melanoma. For patients with cutaneous squamous cell carcinoma who have at least one risk factor, the 40-GEP test allows for better risk stratification by identifying the high-risk patients who are most likely to develop metastasis. These tests can be easily integrated into clinical practice to help guide treatment choices.

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References
1.
Ibrahim A, Le May M, Bosse D, Marginean H, Song X, Nessim C . Imaging Intensity and Survival Outcomes in High-Risk Resected Melanoma Treated by Systemic Therapy at Recurrence. Ann Surg Oncol. 2020; 27(10):3683-3691. DOI: 10.1245/s10434-020-08407-8. View

2.
Gerami P, Cook R, Wilkinson J, Russell M, Dhillon N, Amaria R . Development of a prognostic genetic signature to predict the metastatic risk associated with cutaneous melanoma. Clin Cancer Res. 2015; 21(1):175-83. DOI: 10.1158/1078-0432.CCR-13-3316. View

3.
Tschetter A, Campoli M, Zitelli J, Brodland D . Long-term clinical outcomes of patients with invasive cutaneous squamous cell carcinoma treated with Mohs micrographic surgery: A 5-year, multicenter, prospective cohort study. J Am Acad Dermatol. 2019; 82(1):139-148. DOI: 10.1016/j.jaad.2019.06.1303. View

4.
Mirsky R, Prado G, Svoboda R, Glazer A, Rigel D . Management Decisions Made by Physician Assistants and Nurse Practitioners in Cutaneous Malignant Melanoma Patients: Impact of a 31-Gene Expression Profile Test. J Drugs Dermatol. 2018; 17(11):1220-1223. View

5.
Greenhaw B, Covington K, Kurley S, Yeniay Y, Cao N, Plasseraud K . Molecular risk prediction in cutaneous melanoma: A meta-analysis of the 31-gene expression profile prognostic test in 1,479 patients. J Am Acad Dermatol. 2020; 83(3):745-753. DOI: 10.1016/j.jaad.2020.03.053. View