Literature DB >> 32229276

Molecular risk prediction in cutaneous melanoma: A meta-analysis of the 31-gene expression profile prognostic test in 1,479 patients.

Bradley N Greenhaw1, Kyle R Covington2, Sarah J Kurley2, Yildiray Yeniay3, Nhat Anh Cao4, Kristen M Plasseraud2, Robert W Cook2, Eddy C Hsueh5, Brian R Gastman6, Maria L Wei7.   

Abstract

BACKGROUND: Multiple studies have reported on the accuracy of the prognostic 31-gene expression profile test for cutaneous melanoma. Consistency of the test results across studies has not been systematically evaluated.
OBJECTIVE: To assess the robustness of the prognostic value of the 31-gene expression profile.
METHODS: Raw data were obtained from studies identified from systematic review. A meta-analysis was performed to determine overall effect of the 31-gene expression profile. Clinical outcome metrics for the 31-gene expression profile were compared with American Joint Committee on Cancer staging.
RESULTS: Three studies met inclusion criteria; data from a novel cohort of 211 patients were included (n = 1,479). Five-year recurrence-free and distant metastasis-free survival rates were 91.4% and 94.1% for Class 1A patients and 43.6% and 55.5% for Class 2B patients (P < .0001). Meta-analysis results showed that Class 2 was significantly associated with recurrence (hazard ratio 2.90; P < .0001) and distant metastasis (hazard ratio 2.75; P < .0001). The 31-gene expression profile identified American Joint Committee on Cancer stage I to III patient subsets with high likelihood for recurrence and distant metastasis. Sensitivity was 76% (95% confidence interval 71%-80%) and 76% (95% confidence interval 70%-82%) for each end point, respectively. When 31-gene expression profile and sentinel lymph node biopsy results were considered together, sensitivity and negative predictive value for distant metastasis-free survival were both improved.
CONCLUSION: The 31-gene expression profile test consistently and accurately identifies melanoma patients at increased risk of metastasis, is independent of other clinicopathologic covariates, and augments current risk stratification by reclassifying patients for heightened surveillance who were previously designated as being at low risk. Published by Elsevier Inc.

Entities:  

Keywords:  31-GEP; genomics; melanoma; meta-analysis; metastasis; molecular classification; prognosis; recurrence; survival

Mesh:

Substances:

Year:  2020        PMID: 32229276     DOI: 10.1016/j.jaad.2020.03.053

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   11.527


  13 in total

Review 1.  Prognostic Gene Expression Profiling in Cutaneous Melanoma: Identifying the Knowledge Gaps and Assessing the Clinical Benefit.

Authors:  Douglas Grossman; Nwanneka Okwundu; Edmund K Bartlett; Michael A Marchetti; Megan Othus; Daniel G Coit; Rebecca I Hartman; Sancy A Leachman; Elizabeth G Berry; Larissa Korde; Sandra J Lee; Menashe Bar-Eli; Marianne Berwick; Tawnya Bowles; Elizabeth I Buchbinder; Elizabeth M Burton; Emily Y Chu; Clara Curiel-Lewandrowski; Julia A Curtis; Adil Daud; Dekker C Deacon; Laura K Ferris; Jeffrey E Gershenwald; Kenneth F Grossmann; Siwen Hu-Lieskovan; John Hyngstrom; Joanne M Jeter; Robert L Judson-Torres; Kari L Kendra; Caroline C Kim; John M Kirkwood; David H Lawson; Philip D Leming; Georgina V Long; Ashfaq A Marghoob; Janice M Mehnert; Michael E Ming; Kelly C Nelson; David Polsky; Richard A Scolyer; Eric A Smith; Vernon K Sondak; Mitchell S Stark; Jennifer A Stein; John A Thompson; John F Thompson; Suraj S Venna; Maria L Wei; Susan M Swetter
Journal:  JAMA Dermatol       Date:  2020-09-01       Impact factor: 10.282

Review 2.  Risk Stratification of Patients with Stage I Cutaneous Melanoma Using 31-Gene Expression Profiling.

Authors:  Brian J Martin; Kyle R Covington; Ann P Quick; Robert W Cook
Journal:  J Clin Aesthet Dermatol       Date:  2021-09

Review 3.  Follow-up of primary melanoma patients with high risk of recurrence: recommendations based on evidence and consensus.

Authors:  Begoña Campos-Balea; Ovidio Fernández-Calvo; Roberto García-Figueiras; Carlos Neira; Carmen Peña-Penabad; Carmela Rodríguez-López; Rocío Vílchez-Simo; María Quindós-Varela
Journal:  Clin Transl Oncol       Date:  2022-03-28       Impact factor: 3.340

4.  Optimal systemic therapy for high-risk resectable melanoma.

Authors:  Alexander M M Eggermont; Omid Hamid; Georgia V Long; Jason J Luke
Journal:  Nat Rev Clin Oncol       Date:  2022-04-25       Impact factor: 65.011

5.  Long-Term Outcomes in a Multicenter, Prospective Cohort Evaluating the Prognostic 31-Gene Expression Profile for Cutaneous Melanoma.

Authors:  Eddy C Hsueh; James R DeBloom; Jonathan H Lee; Jeffrey J Sussman; Kyle R Covington; Hillary G Caruso; Ann P Quick; Robert W Cook; Craig L Slingluff; Kelly M McMasters
Journal:  JCO Precis Oncol       Date:  2021-04-06

6.  Computational Drug Repositioning Identifies Statins as Modifiers of Prognostic Genetic Expression Signatures and Metastatic Behavior in Melanoma.

Authors:  Wesley Y Yu; Sheena T Hill; E Ricky Chan; John J Pink; Kevin Cooper; Sancy Leachman; Amanda W Lund; Rajan Kulkarni; Jeremy S Bordeaux
Journal:  J Invest Dermatol       Date:  2021-01-06       Impact factor: 7.590

7.  Improved cutaneous melanoma survival stratification through integration of 31-gene expression profile testing with the American Joint Committee on Cancer 8th Edition Staging.

Authors:  Oliver J Wisco; Justin W Marson; Graham H Litchman; Nicholas Brownstone; Kyle R Covington; Brian J Martin; Ann P Quick; Jennifer J Siegel; Hillary G Caruso; Robert W Cook; Richard R Winkelmann; Darrell S Rigel
Journal:  Melanoma Res       Date:  2022-04-01       Impact factor: 3.199

Review 8.  Expert Consensus on the Use of Prognostic Gene Expression Profiling Tests for the Management of Cutaneous Melanoma: Consensus from the Skin Cancer Prevention Working Group.

Authors:  Aaron S Farberg; Justin W Marson; Alex Glazer; Graham H Litchman; Ryan Svoboda; Richard R Winkelmann; Nicholas Brownstone; Darrell S Rigel
Journal:  Dermatol Ther (Heidelb)       Date:  2022-03-30

Review 9.  Sentinel lymph node biopsy in melanoma: beyond histologic factors.

Authors:  Michael J Carr; Federico A Monzon; Jonathan S Zager
Journal:  Clin Exp Metastasis       Date:  2021-06-08       Impact factor: 5.150

10.  Integrating 31-Gene Expression Profiling With Clinicopathologic Features to Optimize Cutaneous Melanoma Sentinel Lymph Node Metastasis Prediction.

Authors:  Eric D Whitman; Vadim P Koshenkov; Brian R Gastman; Deri Lewis; Eddy C Hsueh; Ho Pak; Thomas P Trezona; Robert S Davidson; Michael McPhee; J Michael Guenther; Paul Toomey; Franz O Smith; Peter D Beitsch; James M Lewis; Andrew Ward; Shawn E Young; Parth K Shah; Ann P Quick; Brian J Martin; Olga Zolochevska; Kyle R Covington; Federico A Monzon; Matthew S Goldberg; Robert W Cook; Martin D Fleming; David M Hyams; John T Vetto
Journal:  JCO Precis Oncol       Date:  2021-09-13
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