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Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin

Despite recent advances in treatment, cancer continues to be one of the most lethal human maladies. One of the challenges of cancer treatment is the diversity among similar tumors that exhibit different clinical outcomes. Most of this variability comes from wide-spread molecular alterations that can...

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Autores principales: González-Reymúndez, Agustín, Vázquez, Ana I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239905/
https://www.ncbi.nlm.nih.gov/pubmed/32433524
http://dx.doi.org/10.1038/s41598-020-65119-5
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author González-Reymúndez, Agustín
Vázquez, Ana I.
author_facet González-Reymúndez, Agustín
Vázquez, Ana I.
author_sort González-Reymúndez, Agustín
collection PubMed
description Despite recent advances in treatment, cancer continues to be one of the most lethal human maladies. One of the challenges of cancer treatment is the diversity among similar tumors that exhibit different clinical outcomes. Most of this variability comes from wide-spread molecular alterations that can be summarized by omic integration. Here, we have identified eight novel tumor groups (C1-8) via omic integration, characterized by unique cancer signatures and clinical characteristics. C3 had the best clinical outcomes, while C2 and C5 had poorest. C1, C7, and C8 were upregulated for cellular and mitochondrial translation, and relatively low proliferation. C6 and C4 were also downregulated for cellular and mitochondrial translation, and had high proliferation rates. C4 was represented by copy losses on chromosome 6, and had the highest number of metastatic samples. C8 was characterized by copy losses on chromosome 11, having also the lowest lymphocytic infiltration rate. C6 had the lowest natural killer infiltration rate and was represented by copy gains of genes in chromosome 11. C7 was represented by copy gains on chromosome 6, and had the highest upregulation in mitochondrial translation. We believe that, since molecularly alike tumors could respond similarly to treatment, our results could inform therapeutic action.
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spelling pubmed-72399052020-05-29 Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin González-Reymúndez, Agustín Vázquez, Ana I. Sci Rep Article Despite recent advances in treatment, cancer continues to be one of the most lethal human maladies. One of the challenges of cancer treatment is the diversity among similar tumors that exhibit different clinical outcomes. Most of this variability comes from wide-spread molecular alterations that can be summarized by omic integration. Here, we have identified eight novel tumor groups (C1-8) via omic integration, characterized by unique cancer signatures and clinical characteristics. C3 had the best clinical outcomes, while C2 and C5 had poorest. C1, C7, and C8 were upregulated for cellular and mitochondrial translation, and relatively low proliferation. C6 and C4 were also downregulated for cellular and mitochondrial translation, and had high proliferation rates. C4 was represented by copy losses on chromosome 6, and had the highest number of metastatic samples. C8 was characterized by copy losses on chromosome 11, having also the lowest lymphocytic infiltration rate. C6 had the lowest natural killer infiltration rate and was represented by copy gains of genes in chromosome 11. C7 was represented by copy gains on chromosome 6, and had the highest upregulation in mitochondrial translation. We believe that, since molecularly alike tumors could respond similarly to treatment, our results could inform therapeutic action. Nature Publishing Group UK 2020-05-20 /pmc/articles/PMC7239905/ /pubmed/32433524 http://dx.doi.org/10.1038/s41598-020-65119-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
González-Reymúndez, Agustín
Vázquez, Ana I.
Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
title Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
title_full Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
title_fullStr Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
title_full_unstemmed Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
title_short Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
title_sort multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239905/
https://www.ncbi.nlm.nih.gov/pubmed/32433524
http://dx.doi.org/10.1038/s41598-020-65119-5
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