Cargando…
Sentinel Lymph Node Gene Expression Signature Predicts Recurrence-Free Survival in Cutaneous Melanoma
SIMPLE SUMMARY: Despite a negative SLN status, patients with Stage IIB/IIC melanoma demonstrate poor melanoma-specific survival when compared to Stage IIIA patients. In this study, we hypothesized that a molecular profile at the level of the SLN would provide potential insights into risk of disease...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599365/ https://www.ncbi.nlm.nih.gov/pubmed/36291758 http://dx.doi.org/10.3390/cancers14204973 |
_version_ | 1784816575817187328 |
---|---|
author | Karapetyan, Lilit Gooding, William Li, Aofei Yang, Xi Knight, Andrew Abushukair, Hassan M. Vargas De Stefano, Danielle Sander, Cindy Karunamurthy, Arivarasan Panelli, Monica Storkus, Walter J. Tarhini, Ahmad A. Kirkwood, John M. |
author_facet | Karapetyan, Lilit Gooding, William Li, Aofei Yang, Xi Knight, Andrew Abushukair, Hassan M. Vargas De Stefano, Danielle Sander, Cindy Karunamurthy, Arivarasan Panelli, Monica Storkus, Walter J. Tarhini, Ahmad A. Kirkwood, John M. |
author_sort | Karapetyan, Lilit |
collection | PubMed |
description | SIMPLE SUMMARY: Despite a negative SLN status, patients with Stage IIB/IIC melanoma demonstrate poor melanoma-specific survival when compared to Stage IIIA patients. In this study, we hypothesized that a molecular profile at the level of the SLN would provide potential insights into risk of disease recurrence and serve as a prognostic biomarker of patient outcomes regardless of the presence of SLN melanoma metastases. Gene expression profiling was performed on SLN biopsies using U133A 2.0 Affymetrix gene chips. Our study suggests a novel 12-gene SLN signature risk score which may predict disease recurrence in cutaneous melanoma patients managed with wide excision of the primary tumor and SLN biopsy. ABSTRACT: We sought to develop a sentinel lymph node gene expression signature score predictive of disease recurrence in patients with cutaneous melanoma. Gene expression profiling was performed on SLN biopsies using U133A 2.0 Affymetrix gene chips. The top 25 genes associated with recurrence-free survival (RFS) were selected and a penalized regression function was used to select 12 genes with a non-zero coefficient. A proportional hazards regression model was used to evaluate the association between clinical covariates, gene signature score, and RFS. Among the 45 patients evaluated, 23 (51%) had a positive SLN. Twenty-one (46.7%) patients developed disease recurrence. For the top 25 differentially expressed genes (DEG), 12 non-zero penalized coefficients were estimated (CLGN, C1QTNF3, ADORA3, ARHGAP8, DCTN1, ASPSCR1, CHRFAM7A, ZNF223, PDE6G, CXCL3, HEXIM1, HLA-DRB). This 12-gene signature score was significantly associated with RFS (p < 0.0001) and produced a bootstrap C index of 0.888. In univariate analysis, Breslow thickness, presence of primary tumor ulceration, SLN positivity were each significantly associated with RFS. After simultaneously adjusting for these prognostic factors in relation to the gene signature, the 12-gene score remained a significant independent predictor for RFS (p < 0.0001). This SLN 12-gene signature risk score is associated with melanoma recurrence regardless of SLN status and may be used as a prognostic factor for RFS. |
format | Online Article Text |
id | pubmed-9599365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95993652022-10-27 Sentinel Lymph Node Gene Expression Signature Predicts Recurrence-Free Survival in Cutaneous Melanoma Karapetyan, Lilit Gooding, William Li, Aofei Yang, Xi Knight, Andrew Abushukair, Hassan M. Vargas De Stefano, Danielle Sander, Cindy Karunamurthy, Arivarasan Panelli, Monica Storkus, Walter J. Tarhini, Ahmad A. Kirkwood, John M. Cancers (Basel) Article SIMPLE SUMMARY: Despite a negative SLN status, patients with Stage IIB/IIC melanoma demonstrate poor melanoma-specific survival when compared to Stage IIIA patients. In this study, we hypothesized that a molecular profile at the level of the SLN would provide potential insights into risk of disease recurrence and serve as a prognostic biomarker of patient outcomes regardless of the presence of SLN melanoma metastases. Gene expression profiling was performed on SLN biopsies using U133A 2.0 Affymetrix gene chips. Our study suggests a novel 12-gene SLN signature risk score which may predict disease recurrence in cutaneous melanoma patients managed with wide excision of the primary tumor and SLN biopsy. ABSTRACT: We sought to develop a sentinel lymph node gene expression signature score predictive of disease recurrence in patients with cutaneous melanoma. Gene expression profiling was performed on SLN biopsies using U133A 2.0 Affymetrix gene chips. The top 25 genes associated with recurrence-free survival (RFS) were selected and a penalized regression function was used to select 12 genes with a non-zero coefficient. A proportional hazards regression model was used to evaluate the association between clinical covariates, gene signature score, and RFS. Among the 45 patients evaluated, 23 (51%) had a positive SLN. Twenty-one (46.7%) patients developed disease recurrence. For the top 25 differentially expressed genes (DEG), 12 non-zero penalized coefficients were estimated (CLGN, C1QTNF3, ADORA3, ARHGAP8, DCTN1, ASPSCR1, CHRFAM7A, ZNF223, PDE6G, CXCL3, HEXIM1, HLA-DRB). This 12-gene signature score was significantly associated with RFS (p < 0.0001) and produced a bootstrap C index of 0.888. In univariate analysis, Breslow thickness, presence of primary tumor ulceration, SLN positivity were each significantly associated with RFS. After simultaneously adjusting for these prognostic factors in relation to the gene signature, the 12-gene score remained a significant independent predictor for RFS (p < 0.0001). This SLN 12-gene signature risk score is associated with melanoma recurrence regardless of SLN status and may be used as a prognostic factor for RFS. MDPI 2022-10-11 /pmc/articles/PMC9599365/ /pubmed/36291758 http://dx.doi.org/10.3390/cancers14204973 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Karapetyan, Lilit Gooding, William Li, Aofei Yang, Xi Knight, Andrew Abushukair, Hassan M. Vargas De Stefano, Danielle Sander, Cindy Karunamurthy, Arivarasan Panelli, Monica Storkus, Walter J. Tarhini, Ahmad A. Kirkwood, John M. Sentinel Lymph Node Gene Expression Signature Predicts Recurrence-Free Survival in Cutaneous Melanoma |
title | Sentinel Lymph Node Gene Expression Signature Predicts Recurrence-Free Survival in Cutaneous Melanoma |
title_full | Sentinel Lymph Node Gene Expression Signature Predicts Recurrence-Free Survival in Cutaneous Melanoma |
title_fullStr | Sentinel Lymph Node Gene Expression Signature Predicts Recurrence-Free Survival in Cutaneous Melanoma |
title_full_unstemmed | Sentinel Lymph Node Gene Expression Signature Predicts Recurrence-Free Survival in Cutaneous Melanoma |
title_short | Sentinel Lymph Node Gene Expression Signature Predicts Recurrence-Free Survival in Cutaneous Melanoma |
title_sort | sentinel lymph node gene expression signature predicts recurrence-free survival in cutaneous melanoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599365/ https://www.ncbi.nlm.nih.gov/pubmed/36291758 http://dx.doi.org/10.3390/cancers14204973 |
work_keys_str_mv | AT karapetyanlilit sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT goodingwilliam sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT liaofei sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT yangxi sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT knightandrew sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT abushukairhassanm sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT vargasdestefanodanielle sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT sandercindy sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT karunamurthyarivarasan sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT panellimonica sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT storkuswalterj sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT tarhiniahmada sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma AT kirkwoodjohnm sentinellymphnodegeneexpressionsignaturepredictsrecurrencefreesurvivalincutaneousmelanoma |