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31-Gene Expression Profile Testing in Cutaneous Melanoma and Survival Outcomes in a Population-Based Analysis: A SEER Collaboration.
Bailey, Christine N; Martin, Brian J; Petkov, Valentina I; Schussler, Nicola C; Stevens, Jennifer L; Bentler, Suzanne; Cress, Rosemary D; Doherty, Jennifer A; Durbin, Eric B; Gomez, Scarlett L; Gonsalves, Lou; Hernandez, Brenda Y; Liu, Lihua; Morawski, Bozena M; Schymura, Maria J; Schwartz, Stephen M; Ward, Kevin C; Wiggins, Charles; Wu, Xiao-Cheng; Goldberg, Matthew S; Siegel, Jennifer J; Cook, Robert W; Covington, Kyle R; Kurley, Sarah J.
Afiliação
  • Bailey CN; Castle Biosciences, Inc, Friendswood, TX.
  • Martin BJ; Castle Biosciences, Inc, Friendswood, TX.
  • Petkov VI; Surveillance Research Program, Division of Cancer Control & Population Sciences, National Cancer Institute, Bethesda, MD.
  • Schussler NC; Information Management Systems, Inc, Calverton, MD.
  • Stevens JL; Information Management Systems, Inc, Calverton, MD.
  • Bentler S; Iowa Cancer Registry, The University of Iowa, Iowa City, IA.
  • Cress RD; Public Health Institute, Cancer Registry of Greater California, Sacramento, CA.
  • Doherty JA; Hunstman Cancer Institute, University of Utah, Salt Lake City, UT.
  • Durbin EB; Department of Population Health Sciences, University of Utah, Salt Lake City, UT.
  • Gomez SL; Cancer Research Informatics Shared Resource Facility, Markey Cancer Center, Kentucky Cancer Registry, University of Kentucky, KY.
  • Gonsalves L; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA.
  • Hernandez BY; Connecticut Tumor Registry, Connecticut Department of Public Health, Hartford, CT.
  • Liu L; University of Hawaii Cancer Center, Honolulu, HI.
  • Morawski BM; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Schymura MJ; Cancer Data Registry of Idaho, Boise, ID.
  • Schwartz SM; Bureau of Cancer Epidemiology, New York State Department of Health, Albany, NY.
  • Ward KC; School of Public Health Epidemiology & Biostatistics, University at Albany, State University of New York, New York, NY.
  • Wiggins C; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA.
  • Wu XC; Emory University, Atlanta, GA.
  • Goldberg MS; Department of Internal Medicine, University of New Mexico, Albuquerque, NM.
  • Siegel JJ; Louisiana State University, School of Medicine, New Orleans, LA.
  • Cook RW; Castle Biosciences, Inc, Friendswood, TX.
  • Covington KR; Department of Dermatology, Icahn School of Medicine at Mount Sinai, Mount Sinai, NY.
  • Kurley SJ; Castle Biosciences, Inc, Friendswood, TX.
JCO Precis Oncol ; 7: e2300044, 2023 06.
Article em En | MEDLINE | ID: mdl-37384864
ABSTRACT

PURPOSE:

The DecisionDx-Melanoma 31-gene expression profile (31-GEP) test is validated to classify cutaneous malignant melanoma (CM) patient risk of recurrence, metastasis, or death as low (class 1A), intermediate (class 1B/2A), or high (class 2B). This study aimed to examine the effect of 31-GEP testing on survival outcomes and confirm the prognostic ability of the 31-GEP at the population level.

METHODS:

Patients with stage I-III CM with a clinical 31-GEP result between 2016 and 2018 were linked to data from 17 SEER registries (n = 4,687) following registries' operation procedures for linkages. Melanoma-specific survival (MSS) and overall survival (OS) differences by 31-GEP risk category were examined using Kaplan-Meier analysis and the log-rank test. Crude and adjusted hazard ratios (HRs) were calculated using Cox regression model to evaluate variables associated with survival. 31-GEP tested patients were propensity score-matched to a cohort of non-31-GEP tested patients from the SEER database. Robustness of the effect of 31-GEP testing was assessed using resampling.

RESULTS:

Patients with a 31-GEP class 1A result had higher 3-year MSS and OS than patients with a class 1B/2A or class 2B result (MSS 99.7% v 97.1% v 89.6%, P < .001; OS 96.6% v 90.2% v 79.4%, P < .001). A class 2B result was an independent predictor of MSS (HR, 7.00; 95% CI, 2.70 to 18.00) and OS (HR, 2.39; 95% CI, 1.54 to 3.70). 31-GEP testing was associated with a 29% lower MSS mortality (HR, 0.71; 95% CI, 0.53 to 0.94) and 17% lower overall mortality (HR, 0.83; 95% CI, 0.70 to 0.99) relative to untested patients.

CONCLUSION:

In a population-based, clinically tested melanoma cohort, the 31-GEP stratified patients by their risk of dying from melanoma.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Melanoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: JCO Precis Oncol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Melanoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: JCO Precis Oncol Ano de publicação: 2023 Tipo de documento: Article