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The stable traits of melanoma genetics: an alternate approach to target discovery

BACKGROUND: The weight that gene copy number plays in transcription remains controversial; although in specific cases gene expression correlates with copy number, the relationship cannot be inferred at the global level. We hypothesized that genes steadily expressed by 15 melanoma cell lines (CMs) an...

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Autores principales: Spivey, Tara L, De Giorgi, Valeria, Zhao, Yingdong, Bedognetti, Davide, Pos, Zoltan, Liu, Qiuzhen, Tomei, Sara, Ascierto, Maria Libera, Uccellini, Lorenzo, Reinboth, Jennifer, Chouchane, Lotfi, Stroncek, David F, Wang, Ena, Marincola, Francesco M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3362771/
https://www.ncbi.nlm.nih.gov/pubmed/22537248
http://dx.doi.org/10.1186/1471-2164-13-156
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author Spivey, Tara L
De Giorgi, Valeria
Zhao, Yingdong
Bedognetti, Davide
Pos, Zoltan
Liu, Qiuzhen
Tomei, Sara
Ascierto, Maria Libera
Uccellini, Lorenzo
Reinboth, Jennifer
Chouchane, Lotfi
Stroncek, David F
Wang, Ena
Marincola, Francesco M
author_facet Spivey, Tara L
De Giorgi, Valeria
Zhao, Yingdong
Bedognetti, Davide
Pos, Zoltan
Liu, Qiuzhen
Tomei, Sara
Ascierto, Maria Libera
Uccellini, Lorenzo
Reinboth, Jennifer
Chouchane, Lotfi
Stroncek, David F
Wang, Ena
Marincola, Francesco M
author_sort Spivey, Tara L
collection PubMed
description BACKGROUND: The weight that gene copy number plays in transcription remains controversial; although in specific cases gene expression correlates with copy number, the relationship cannot be inferred at the global level. We hypothesized that genes steadily expressed by 15 melanoma cell lines (CMs) and their parental tissues (TMs) should be critical for oncogenesis and their expression most frequently influenced by their respective copy number. RESULTS: Functional interpretation of 3,030 transcripts concordantly expressed (Pearson's correlation coefficient p-value < 0.05) by CMs and TMs confirmed an enrichment of functions crucial to oncogenesis. Among them, 968 were expressed according to the transcriptional efficiency predicted by copy number analysis (Pearson's correlation coefficient p-value < 0.05). We named these genes, "genomic delegates" as they represent at the transcriptional level the genetic footprint of individual cancers. We then tested whether the genes could categorize 112 melanoma metastases. Two divergent phenotypes were observed: one with prevalent expression of cancer testis antigens, enhanced cyclin activity, WNT signaling, and a Th17 immune phenotype (Class A). This phenotype expressed, therefore, transcripts previously associated to more aggressive cancer. The second class (B) prevalently expressed genes associated with melanoma signaling including MITF, melanoma differentiation antigens, and displayed a Th1 immune phenotype associated with better prognosis and likelihood to respond to immunotherapy. An intermediate third class (C) was further identified. The three phenotypes were confirmed by unsupervised principal component analysis. CONCLUSIONS: This study suggests that clinically relevant phenotypes of melanoma can be retraced to stable oncogenic properties of cancer cells linked to their genetic back bone, and offers a roadmap for uncovering novel targets for tailored anti-cancer therapy.
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spelling pubmed-33627712012-05-31 The stable traits of melanoma genetics: an alternate approach to target discovery Spivey, Tara L De Giorgi, Valeria Zhao, Yingdong Bedognetti, Davide Pos, Zoltan Liu, Qiuzhen Tomei, Sara Ascierto, Maria Libera Uccellini, Lorenzo Reinboth, Jennifer Chouchane, Lotfi Stroncek, David F Wang, Ena Marincola, Francesco M BMC Genomics Research Article BACKGROUND: The weight that gene copy number plays in transcription remains controversial; although in specific cases gene expression correlates with copy number, the relationship cannot be inferred at the global level. We hypothesized that genes steadily expressed by 15 melanoma cell lines (CMs) and their parental tissues (TMs) should be critical for oncogenesis and their expression most frequently influenced by their respective copy number. RESULTS: Functional interpretation of 3,030 transcripts concordantly expressed (Pearson's correlation coefficient p-value < 0.05) by CMs and TMs confirmed an enrichment of functions crucial to oncogenesis. Among them, 968 were expressed according to the transcriptional efficiency predicted by copy number analysis (Pearson's correlation coefficient p-value < 0.05). We named these genes, "genomic delegates" as they represent at the transcriptional level the genetic footprint of individual cancers. We then tested whether the genes could categorize 112 melanoma metastases. Two divergent phenotypes were observed: one with prevalent expression of cancer testis antigens, enhanced cyclin activity, WNT signaling, and a Th17 immune phenotype (Class A). This phenotype expressed, therefore, transcripts previously associated to more aggressive cancer. The second class (B) prevalently expressed genes associated with melanoma signaling including MITF, melanoma differentiation antigens, and displayed a Th1 immune phenotype associated with better prognosis and likelihood to respond to immunotherapy. An intermediate third class (C) was further identified. The three phenotypes were confirmed by unsupervised principal component analysis. CONCLUSIONS: This study suggests that clinically relevant phenotypes of melanoma can be retraced to stable oncogenic properties of cancer cells linked to their genetic back bone, and offers a roadmap for uncovering novel targets for tailored anti-cancer therapy. BioMed Central 2012-04-26 /pmc/articles/PMC3362771/ /pubmed/22537248 http://dx.doi.org/10.1186/1471-2164-13-156 Text en Copyright ©2012 Spivey et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Spivey, Tara L
De Giorgi, Valeria
Zhao, Yingdong
Bedognetti, Davide
Pos, Zoltan
Liu, Qiuzhen
Tomei, Sara
Ascierto, Maria Libera
Uccellini, Lorenzo
Reinboth, Jennifer
Chouchane, Lotfi
Stroncek, David F
Wang, Ena
Marincola, Francesco M
The stable traits of melanoma genetics: an alternate approach to target discovery
title The stable traits of melanoma genetics: an alternate approach to target discovery
title_full The stable traits of melanoma genetics: an alternate approach to target discovery
title_fullStr The stable traits of melanoma genetics: an alternate approach to target discovery
title_full_unstemmed The stable traits of melanoma genetics: an alternate approach to target discovery
title_short The stable traits of melanoma genetics: an alternate approach to target discovery
title_sort stable traits of melanoma genetics: an alternate approach to target discovery
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3362771/
https://www.ncbi.nlm.nih.gov/pubmed/22537248
http://dx.doi.org/10.1186/1471-2164-13-156
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