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Guidance of sentinel lymph node biopsy decisions in patients with T1-T2 melanoma using gene expression profiling.

Authors :
Vetto, John T.
Hsueh, Eddy C.
Gastman, Brian R.
Dillon, Larry D.
Monzon, Federico A.
Cook, Robert W.
Keller, Jennifer
Huang, Xin
Fleming, Andrew
Hewgley, Preston
Gerami, Pedram
Leachman, Sancy
Wayne, Jeffrey D.
Berger, Adam C.
Fleming, Martin D.
Vetto, John T.
Hsueh, Eddy C.
Gastman, Brian R.
Dillon, Larry D.
Monzon, Federico A.
Cook, Robert W.
Keller, Jennifer
Huang, Xin
Fleming, Andrew
Hewgley, Preston
Gerami, Pedram
Leachman, Sancy
Wayne, Jeffrey D.
Berger, Adam C.
Fleming, Martin D.
Source :
Department of Surgery Faculty Papers
Publication Year :
2019

Abstract

AIM: Can gene expression profiling be used to identify patients with T1-T2 melanoma at low risk for sentinel lymph node (SLN) positivity? PATIENTS & METHODS: Bioinformatics modeling determined a population in which a 31-gene expression profile test predicted <5% SLN positivity. Multicenter, prospectively-tested (n = 1421) and retrospective (n = 690) cohorts were used for validation and outcomes, respectively. RESULTS: Patients 55-64 years and ≥65 years with a class 1A (low-risk) profile had SLN positivity rates of 4.9% and 1.6%. Class 2B (high-risk) patients had SLN positivity rates of 30.8% and 11.9%. Melanoma-specific survival was 99.3% for patients ≥55 years with class 1A, T1-T2 tumors and 55.0% for class 2B, SLN-positive, T1-T2 tumors. CONCLUSION: The 31-gene expression profile test identifies patients who could potentially avoid SLN biopsy.

Details

Database :
OAIster
Journal :
Department of Surgery Faculty Papers
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1101930964
Document Type :
Electronic Resource