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Protein signatures correspond to survival outcomes of AJCC stage III melanoma patients

SUMMARY: Outcomes for melanoma patients with stage III disease differ widely even within the same subcategory. Molecular signatures that more accurately predict prognosis are needed to stratify patients according to risk. Proteomic analyses were used to identify differentially abundant proteins in e...

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Autores principales: Mactier, Swetlana, Kaufman, Kimberley L, Wang, Penghao, Crossett, Ben, Pupo, Gulietta M, Kohnke, Philippa L, Thompson, John F, Scolyer, Richard A, Yang, Jean Y, Mann, Graham J, Christopherson, Richard I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4285183/
https://www.ncbi.nlm.nih.gov/pubmed/24995518
http://dx.doi.org/10.1111/pcmr.12290
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author Mactier, Swetlana
Kaufman, Kimberley L
Wang, Penghao
Crossett, Ben
Pupo, Gulietta M
Kohnke, Philippa L
Thompson, John F
Scolyer, Richard A
Yang, Jean Y
Mann, Graham J
Christopherson, Richard I
author_facet Mactier, Swetlana
Kaufman, Kimberley L
Wang, Penghao
Crossett, Ben
Pupo, Gulietta M
Kohnke, Philippa L
Thompson, John F
Scolyer, Richard A
Yang, Jean Y
Mann, Graham J
Christopherson, Richard I
author_sort Mactier, Swetlana
collection PubMed
description SUMMARY: Outcomes for melanoma patients with stage III disease differ widely even within the same subcategory. Molecular signatures that more accurately predict prognosis are needed to stratify patients according to risk. Proteomic analyses were used to identify differentially abundant proteins in extracts of surgically excised samples from patients with stage IIIc melanoma lymph node metastases. Analysis of samples from patients with poor (n = 14, <1 yr) and good (n = 19, >4 yr) survival outcomes identified 84 proteins that were differentially abundant between prognostic groups. Subsequent selected reaction monitoring analysis verified 21 proteins as potential biomarkers for survival. Poor prognosis patients are characterized by increased levels of proteins involved in protein metabolism, nucleic acid metabolism, angiogenesis, deregulation of cellular energetics and methylation processes, and decreased levels of proteins involved in apoptosis and immune response. These proteins are able to classify stage IIIc patients into prognostic subgroups (P < 0.02). This is the first report of potential prognostic markers from stage III melanoma using proteomic analyses. Validation of these protein markers in larger patient cohorts should define protein signatures that enable better stratification of stage III melanoma patients.
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spelling pubmed-42851832015-01-26 Protein signatures correspond to survival outcomes of AJCC stage III melanoma patients Mactier, Swetlana Kaufman, Kimberley L Wang, Penghao Crossett, Ben Pupo, Gulietta M Kohnke, Philippa L Thompson, John F Scolyer, Richard A Yang, Jean Y Mann, Graham J Christopherson, Richard I Pigment Cell Melanoma Res Original Articles SUMMARY: Outcomes for melanoma patients with stage III disease differ widely even within the same subcategory. Molecular signatures that more accurately predict prognosis are needed to stratify patients according to risk. Proteomic analyses were used to identify differentially abundant proteins in extracts of surgically excised samples from patients with stage IIIc melanoma lymph node metastases. Analysis of samples from patients with poor (n = 14, <1 yr) and good (n = 19, >4 yr) survival outcomes identified 84 proteins that were differentially abundant between prognostic groups. Subsequent selected reaction monitoring analysis verified 21 proteins as potential biomarkers for survival. Poor prognosis patients are characterized by increased levels of proteins involved in protein metabolism, nucleic acid metabolism, angiogenesis, deregulation of cellular energetics and methylation processes, and decreased levels of proteins involved in apoptosis and immune response. These proteins are able to classify stage IIIc patients into prognostic subgroups (P < 0.02). This is the first report of potential prognostic markers from stage III melanoma using proteomic analyses. Validation of these protein markers in larger patient cohorts should define protein signatures that enable better stratification of stage III melanoma patients. BlackWell Publishing Ltd 2014-11 2014-08-14 /pmc/articles/PMC4285183/ /pubmed/24995518 http://dx.doi.org/10.1111/pcmr.12290 Text en © 2014 The Authors. Pigment Cell & Melanoma Research Published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Mactier, Swetlana
Kaufman, Kimberley L
Wang, Penghao
Crossett, Ben
Pupo, Gulietta M
Kohnke, Philippa L
Thompson, John F
Scolyer, Richard A
Yang, Jean Y
Mann, Graham J
Christopherson, Richard I
Protein signatures correspond to survival outcomes of AJCC stage III melanoma patients
title Protein signatures correspond to survival outcomes of AJCC stage III melanoma patients
title_full Protein signatures correspond to survival outcomes of AJCC stage III melanoma patients
title_fullStr Protein signatures correspond to survival outcomes of AJCC stage III melanoma patients
title_full_unstemmed Protein signatures correspond to survival outcomes of AJCC stage III melanoma patients
title_short Protein signatures correspond to survival outcomes of AJCC stage III melanoma patients
title_sort protein signatures correspond to survival outcomes of ajcc stage iii melanoma patients
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4285183/
https://www.ncbi.nlm.nih.gov/pubmed/24995518
http://dx.doi.org/10.1111/pcmr.12290
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