Gene expression profile test (GEP) prediction of metastasis-free (MFS) and overall survival (OS) in a cohort of cutaneous melanoma (CM) patients undergoing sentinel lymph node biopsy (SLNB).

Authors

null

David H. Lawson

Emory University School of Medicine, Atlanta, GA

David H. Lawson , Jeff Wilkinson , Gilchrist L. Jackson , Anthony Greisinger , Rodale N Amaria , Rene Gonzalez , Stephen Lyle , Clare Johnson , Kristen M. Oelschlager , John F Stone , Derek Maetzold , Robert W. Cook , Laura Ferris , Keith A. Delman , Pedram Gerami , Maria C. Russell

Organizations

Emory University School of Medicine, Atlanta, GA, St. Joseph's Hospital and Medical Center, Phoenix, AZ, The Kelsey Seyblod Clinic, Houston, TX, Kelsey Research Foundation, Houston, TX, University of Colorado Denver, Denver, CO, UCHSC, Anschultz Cancer Pavilion, Aurora, CO, Department of Cancer Biology, University of Massachusetts Medical School, Worcester, MA, Castle Biosciences, Inc., Phoenix, AZ, St. Joseph’s Hospital and Medical Center, Phoenix, AZ, Castle Biosciences Incorporated, Friendswood, TX, Castle Biosciences, Inc., Friendswood, TX, University of Pittsburgh, Pittsburgh, PA, Department of Surgery, Emory University, Atlanta, GA, Northwestern University, Chicago, IL, Division of Surgical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA

Research Funding

No funding sources reported

Background: We recently validated a GEP test that provides accurate prediction of metastatic risk for CM cases. The GEP of 31 genes provides a binary outcome of Class 1 (low risk of metastasis) or Class 2 (high risk). This study evaluated the prognostic. Methods: Of 406 patients with successful GEP results and clinical data, 217 had a documented SLNB. All samples and clinical data were collected under an IRB approved, multicenter protocol. Quantitative PCR analysis was performed to assess expression of the gene signature, and Radial Basis Machine predictive modeling was used to determine risk prediction (Class 1 vs. Class 2). Results: SLNB+ status (n=58) was associated with greater median Breslow thickness, increased mitotic rate, and ulceration. Metastasis was reported for 37 of 58 (64%) SLN+ cases and 70 of 159 (44%) SLN- cases. While positive predictive values for Class 2 and SLN+ status were comparable (69% vs. 64%, resp.), negative predictive values of 75% and 49% were observed for low risk Class 1 and SLN- cases, respectively. Kaplan-Meier (K-M) analysis revealed 5-year MFS of 34% and 37%, respectively, for GEP Class 2 and SLN+ cases, and OS of 54% and 62% for the two groups, respectively. K-M analysis of MFS and OS for GEP and SLN in combination resulted in outcomes shown in Table 1. Cox multivariate analysis showed that GEP Class 2 and positive SLN status were significant predictors of MFS (HR=4.9 and 1.7, resp., p<0.01), but that GEP, in this group of patients, was the only significant predictor of OS (HR=5.1, p<0.0001). Conclusions: In this study cohort, GEP provided an objective, non-invasive tool that accurately predicted MFS and OS in SLN eligible patients. Importantly, in the discordant Class 2/SLN- group, predicted outcomes more closely reflected Class 2 status. Incorporation of GEP class in treatment planning may enable improved patient management. MFS and OS association with class and SLN status.

N 5-yr MFS 5-yr OS
Class1/SLNB- 67 83% 91%
Class1/SLNB+ 9 53% 78%
Class2/SLNB- 92 35% 54%
Class2/SLNB+ 49 33% 57%

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Abstract Details

Meeting

2014 ASCO Annual Meeting

Session Type

Poster Highlights Session

Session Title

Melanoma/Skin Cancers

Track

Melanoma/Skin Cancers

Sub Track

Melanoma/Skin Cancers

Citation

J Clin Oncol 32:5s, 2014 (suppl; abstr 9022)

DOI

10.1200/jco.2014.32.15_suppl.9022

Abstract #

9022

Poster Bd #

37

Abstract Disclosures