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Multivariate Entropy Characterizes the Gene Expression and Protein-Protein Networks in Four Types of Cancer

There is an important urgency to detect cancer at early stages to treat it, to improve the patients’ lifespans, and even to cure it. In this work, we determined the entropic contributions of genes in cancer networks. We detected sudden changes in entropy values in melanoma, hepatocellular carcinoma,...

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Detalles Bibliográficos
Autores principales: Juarez-Flores, Angel, José, Marco V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844632/
https://www.ncbi.nlm.nih.gov/pubmed/33265245
http://dx.doi.org/10.3390/e20030154
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author Juarez-Flores, Angel
José, Marco V.
author_facet Juarez-Flores, Angel
José, Marco V.
author_sort Juarez-Flores, Angel
collection PubMed
description There is an important urgency to detect cancer at early stages to treat it, to improve the patients’ lifespans, and even to cure it. In this work, we determined the entropic contributions of genes in cancer networks. We detected sudden changes in entropy values in melanoma, hepatocellular carcinoma, pancreatic cancer, and squamous lung cell carcinoma associated to transitions from healthy controls to cancer. We also identified the most relevant genes involved in carcinogenic process of the four types of cancer with the help of entropic changes in local networks. Their corresponding proteins could be used as potential targets for treatments and as biomarkers of cancer.
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spelling pubmed-78446322021-02-24 Multivariate Entropy Characterizes the Gene Expression and Protein-Protein Networks in Four Types of Cancer Juarez-Flores, Angel José, Marco V. Entropy (Basel) Article There is an important urgency to detect cancer at early stages to treat it, to improve the patients’ lifespans, and even to cure it. In this work, we determined the entropic contributions of genes in cancer networks. We detected sudden changes in entropy values in melanoma, hepatocellular carcinoma, pancreatic cancer, and squamous lung cell carcinoma associated to transitions from healthy controls to cancer. We also identified the most relevant genes involved in carcinogenic process of the four types of cancer with the help of entropic changes in local networks. Their corresponding proteins could be used as potential targets for treatments and as biomarkers of cancer. MDPI 2018-02-28 /pmc/articles/PMC7844632/ /pubmed/33265245 http://dx.doi.org/10.3390/e20030154 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Juarez-Flores, Angel
José, Marco V.
Multivariate Entropy Characterizes the Gene Expression and Protein-Protein Networks in Four Types of Cancer
title Multivariate Entropy Characterizes the Gene Expression and Protein-Protein Networks in Four Types of Cancer
title_full Multivariate Entropy Characterizes the Gene Expression and Protein-Protein Networks in Four Types of Cancer
title_fullStr Multivariate Entropy Characterizes the Gene Expression and Protein-Protein Networks in Four Types of Cancer
title_full_unstemmed Multivariate Entropy Characterizes the Gene Expression and Protein-Protein Networks in Four Types of Cancer
title_short Multivariate Entropy Characterizes the Gene Expression and Protein-Protein Networks in Four Types of Cancer
title_sort multivariate entropy characterizes the gene expression and protein-protein networks in four types of cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844632/
https://www.ncbi.nlm.nih.gov/pubmed/33265245
http://dx.doi.org/10.3390/e20030154
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