Using global gene expression to discriminate thin melanomas with poor outcomes

Most melanomas present as thin lesions (≤1.0 mm) with a good prognosis; however, a small percentage of patients with thin lesions experience recurrence or metastasis. The aim of our study was to identify a distinct pattern of gene expression within thin melanomas known to have eventually metastasize...

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Main Authors: Zachary Hothem, Andrew Bayci, Bryan J. Thibodeau, Billie E. Ketelsen, Laura E. Fortier, Alison F. Uzieblo, Diane Cosner, Kristin Totoraitis, Richard D. Keidan, George D. Wilson
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Molecular & Cellular Oncology
Subjects:
Online Access:http://dx.doi.org/10.1080/23723556.2016.1253527
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author Zachary Hothem
Andrew Bayci
Bryan J. Thibodeau
Billie E. Ketelsen
Laura E. Fortier
Alison F. Uzieblo
Diane Cosner
Kristin Totoraitis
Richard D. Keidan
George D. Wilson
author_facet Zachary Hothem
Andrew Bayci
Bryan J. Thibodeau
Billie E. Ketelsen
Laura E. Fortier
Alison F. Uzieblo
Diane Cosner
Kristin Totoraitis
Richard D. Keidan
George D. Wilson
author_sort Zachary Hothem
collection DOAJ
description Most melanomas present as thin lesions (≤1.0 mm) with a good prognosis; however, a small percentage of patients with thin lesions experience recurrence or metastasis. The aim of our study was to identify a distinct pattern of gene expression within thin melanomas known to have eventually metastasized to regional lymph nodes or distant sites compared with those that followed the typical course with good response to wide local excision alone. Patients who were disease-free for a minimum of 10 y served as controls (n = 10) to the experimental group who developed metastasis (n = 9). Laser capture microdissection was used to specifically isolate cancer cells from formalin-fixed paraffin-embedded tissue with subsequent gene expression analysis on Affymetrix Human Transcriptome Array 2.0 Arrays. Although gene expression differences were observed between the patients with thin melanoma with poor clinical outcome and those with good clinical outcome, neither the number of genes nor the magnitude of the fold difference was very substantial or significant. Cluster analysis with this subset of genes could definitively separate a subset of the poor responders from the good responders, but there remained a mixed group of tumors that could not be predicted from gene expression alone. Pathway analysis identified cellular processes that were regulated based on the response, including categories commonly associated with melanoma progression. Ultimately, we concluded that there were very few differences between these groups. Future research will be required and investigation of the mutational landscape may be another strategy to uncover genomic changes that drive recurrence and metastasis in thin melanoma.
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spelling doaj.art-a05c83b23e0b421a99e2dcc8c9d4580f2023-09-22T09:10:57ZengTaylor & Francis GroupMolecular & Cellular Oncology2372-35562017-01-014110.1080/23723556.2016.12535271253527Using global gene expression to discriminate thin melanomas with poor outcomesZachary Hothem0Andrew Bayci1Bryan J. Thibodeau2Billie E. Ketelsen3Laura E. Fortier4Alison F. Uzieblo5Diane Cosner6Kristin Totoraitis7Richard D. Keidan8George D. Wilson9William Beaumont HospitalWilliam Beaumont HospitalWilliam Beaumont HospitalWilliam Beaumont HospitalWilliam Beaumont HospitalWilliam Beaumont HospitalWilliam Beaumont HospitalOakland University William Beaumont School of MedicineWilliam Beaumont HospitalWilliam Beaumont HospitalMost melanomas present as thin lesions (≤1.0 mm) with a good prognosis; however, a small percentage of patients with thin lesions experience recurrence or metastasis. The aim of our study was to identify a distinct pattern of gene expression within thin melanomas known to have eventually metastasized to regional lymph nodes or distant sites compared with those that followed the typical course with good response to wide local excision alone. Patients who were disease-free for a minimum of 10 y served as controls (n = 10) to the experimental group who developed metastasis (n = 9). Laser capture microdissection was used to specifically isolate cancer cells from formalin-fixed paraffin-embedded tissue with subsequent gene expression analysis on Affymetrix Human Transcriptome Array 2.0 Arrays. Although gene expression differences were observed between the patients with thin melanoma with poor clinical outcome and those with good clinical outcome, neither the number of genes nor the magnitude of the fold difference was very substantial or significant. Cluster analysis with this subset of genes could definitively separate a subset of the poor responders from the good responders, but there remained a mixed group of tumors that could not be predicted from gene expression alone. Pathway analysis identified cellular processes that were regulated based on the response, including categories commonly associated with melanoma progression. Ultimately, we concluded that there were very few differences between these groups. Future research will be required and investigation of the mutational landscape may be another strategy to uncover genomic changes that drive recurrence and metastasis in thin melanoma.http://dx.doi.org/10.1080/23723556.2016.1253527gene expressionmelanomamicroarraythin melanomasurgical response
spellingShingle Zachary Hothem
Andrew Bayci
Bryan J. Thibodeau
Billie E. Ketelsen
Laura E. Fortier
Alison F. Uzieblo
Diane Cosner
Kristin Totoraitis
Richard D. Keidan
George D. Wilson
Using global gene expression to discriminate thin melanomas with poor outcomes
Molecular & Cellular Oncology
gene expression
melanoma
microarray
thin melanoma
surgical response
title Using global gene expression to discriminate thin melanomas with poor outcomes
title_full Using global gene expression to discriminate thin melanomas with poor outcomes
title_fullStr Using global gene expression to discriminate thin melanomas with poor outcomes
title_full_unstemmed Using global gene expression to discriminate thin melanomas with poor outcomes
title_short Using global gene expression to discriminate thin melanomas with poor outcomes
title_sort using global gene expression to discriminate thin melanomas with poor outcomes
topic gene expression
melanoma
microarray
thin melanoma
surgical response
url http://dx.doi.org/10.1080/23723556.2016.1253527
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