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

1
Posgrado en Ciencias Biológicas, Unidad de Posgrado, Circuito de Posgrados, Ciudad Universitaria, Universidad Nacional Autónoma de México, CP 04510, Mexico City, Mexico
2
Theoretical Biology Group, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, CP 04510, Mexico City, Mexico
*
Author to whom correspondence should be addressed.
Entropy 2018, 20(3), 154; https://doi.org/10.3390/e20030154
Received: 2 November 2017 / Revised: 31 January 2018 / Accepted: 23 February 2018 / Published: 28 February 2018
(This article belongs to the Special Issue Entropy in Signal Analysis)
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. View Full-Text
Keywords: multivariate entropy; cancer; protein-protein networks; gene expression; local networks; average network entropy; biomarkers; early warning multivariate entropy; cancer; protein-protein networks; gene expression; local networks; average network entropy; biomarkers; early warning
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Juarez-Flores, A.; José, M.V. Multivariate Entropy Characterizes the Gene Expression and Protein-Protein Networks in Four Types of Cancer. Entropy 2018, 20, 154.

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