Network Topologies Decoding Cervical Cancer.
According to the GLOBOCAN statistics, cervical cancer is one of the leading causes of death among women worldwide. It is found to be gradually increasing in the younger population, specifically in the developing countries. We analyzed the protein-protein interaction networks of the uterine cervix ce...
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doaj-3c14ebe48bb2479ca2cf304b732b84442020-11-25T01:24:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01108e013518310.1371/journal.pone.0135183Network Topologies Decoding Cervical Cancer.Sarika JalanKrishna KanhaiyaAparna RaiObul Reddy BandapalliAlok YadavAccording to the GLOBOCAN statistics, cervical cancer is one of the leading causes of death among women worldwide. It is found to be gradually increasing in the younger population, specifically in the developing countries. We analyzed the protein-protein interaction networks of the uterine cervix cells for the normal and disease states. It was found that the disease network was less random than the normal one, providing an insight into the change in complexity of the underlying network in disease state. The study also portrayed that, the disease state has faster signal processing as the diameter of the underlying network was very close to its corresponding random control. This may be a reason for the normal cells to change into malignant state. Further, the analysis revealed VEGFA and IL-6 proteins as the distinctly high degree nodes in the disease network, which are known to manifest a major contribution in promoting cervical cancer. Our analysis, being time proficient and cost effective, provides a direction for developing novel drugs, therapeutic targets and biomarkers by identifying specific interaction patterns, that have structural importance.http://europepmc.org/articles/PMC4550414?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sarika Jalan Krishna Kanhaiya Aparna Rai Obul Reddy Bandapalli Alok Yadav |
spellingShingle |
Sarika Jalan Krishna Kanhaiya Aparna Rai Obul Reddy Bandapalli Alok Yadav Network Topologies Decoding Cervical Cancer. PLoS ONE |
author_facet |
Sarika Jalan Krishna Kanhaiya Aparna Rai Obul Reddy Bandapalli Alok Yadav |
author_sort |
Sarika Jalan |
title |
Network Topologies Decoding Cervical Cancer. |
title_short |
Network Topologies Decoding Cervical Cancer. |
title_full |
Network Topologies Decoding Cervical Cancer. |
title_fullStr |
Network Topologies Decoding Cervical Cancer. |
title_full_unstemmed |
Network Topologies Decoding Cervical Cancer. |
title_sort |
network topologies decoding cervical cancer. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2015-01-01 |
description |
According to the GLOBOCAN statistics, cervical cancer is one of the leading causes of death among women worldwide. It is found to be gradually increasing in the younger population, specifically in the developing countries. We analyzed the protein-protein interaction networks of the uterine cervix cells for the normal and disease states. It was found that the disease network was less random than the normal one, providing an insight into the change in complexity of the underlying network in disease state. The study also portrayed that, the disease state has faster signal processing as the diameter of the underlying network was very close to its corresponding random control. This may be a reason for the normal cells to change into malignant state. Further, the analysis revealed VEGFA and IL-6 proteins as the distinctly high degree nodes in the disease network, which are known to manifest a major contribution in promoting cervical cancer. Our analysis, being time proficient and cost effective, provides a direction for developing novel drugs, therapeutic targets and biomarkers by identifying specific interaction patterns, that have structural importance. |
url |
http://europepmc.org/articles/PMC4550414?pdf=render |
work_keys_str_mv |
AT sarikajalan networktopologiesdecodingcervicalcancer AT krishnakanhaiya networktopologiesdecodingcervicalcancer AT aparnarai networktopologiesdecodingcervicalcancer AT obulreddybandapalli networktopologiesdecodingcervicalcancer AT alokyadav networktopologiesdecodingcervicalcancer |
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