Identification of thyroid carcinoma related genes with mRMR and shortest path approaches.

Thyroid cancer is a malignant neoplasm originated from thyroid cells. It can be classified into papillary carcinomas (PTCs) and anaplastic carcinomas (ATCs). Although ATCs are in an very aggressive status and cause more death than PTCs, their difference is poorly understood at molecular level. In th...

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Main Authors: Yaping Xu, Yue Deng, Zhenhua Ji, Haibin Liu, Yueyang Liu, Hu Peng, Jian Wu, Jingping Fan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3981740?pdf=render
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author Yaping Xu
Yue Deng
Zhenhua Ji
Haibin Liu
Yueyang Liu
Hu Peng
Jian Wu
Jingping Fan
author_facet Yaping Xu
Yue Deng
Zhenhua Ji
Haibin Liu
Yueyang Liu
Hu Peng
Jian Wu
Jingping Fan
author_sort Yaping Xu
collection DOAJ
description Thyroid cancer is a malignant neoplasm originated from thyroid cells. It can be classified into papillary carcinomas (PTCs) and anaplastic carcinomas (ATCs). Although ATCs are in an very aggressive status and cause more death than PTCs, their difference is poorly understood at molecular level. In this study, we focus on the transcriptome difference among PTCs, ATCs and normal tissue from a published dataset including 45 normal tissues, 49 PTCs and 11 ATCs, by applying a machine learning method, maximum relevance minimum redundancy, and identified 9 genes (BCL2, MRPS31, ID4, RASAL2, DLG2, MY01B, ZBTB5, PRKCQ and PPP6C) and 1 miscRNA (miscellaneous RNA, LOC646736) as important candidates involved in the progression of thyroid cancer. We further identified the protein-protein interaction (PPI) sub network from the shortest paths among the 9 genes in a PPI network constructed based on STRING database. Our results may provide insights to the molecular mechanism of the progression of thyroid cancer.
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spelling doaj.art-5217b205b10142e4af11aa3325577c5c2022-12-22T01:43:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194e9402210.1371/journal.pone.0094022Identification of thyroid carcinoma related genes with mRMR and shortest path approaches.Yaping XuYue DengZhenhua JiHaibin LiuYueyang LiuHu PengJian WuJingping FanThyroid cancer is a malignant neoplasm originated from thyroid cells. It can be classified into papillary carcinomas (PTCs) and anaplastic carcinomas (ATCs). Although ATCs are in an very aggressive status and cause more death than PTCs, their difference is poorly understood at molecular level. In this study, we focus on the transcriptome difference among PTCs, ATCs and normal tissue from a published dataset including 45 normal tissues, 49 PTCs and 11 ATCs, by applying a machine learning method, maximum relevance minimum redundancy, and identified 9 genes (BCL2, MRPS31, ID4, RASAL2, DLG2, MY01B, ZBTB5, PRKCQ and PPP6C) and 1 miscRNA (miscellaneous RNA, LOC646736) as important candidates involved in the progression of thyroid cancer. We further identified the protein-protein interaction (PPI) sub network from the shortest paths among the 9 genes in a PPI network constructed based on STRING database. Our results may provide insights to the molecular mechanism of the progression of thyroid cancer.http://europepmc.org/articles/PMC3981740?pdf=render
spellingShingle Yaping Xu
Yue Deng
Zhenhua Ji
Haibin Liu
Yueyang Liu
Hu Peng
Jian Wu
Jingping Fan
Identification of thyroid carcinoma related genes with mRMR and shortest path approaches.
PLoS ONE
title Identification of thyroid carcinoma related genes with mRMR and shortest path approaches.
title_full Identification of thyroid carcinoma related genes with mRMR and shortest path approaches.
title_fullStr Identification of thyroid carcinoma related genes with mRMR and shortest path approaches.
title_full_unstemmed Identification of thyroid carcinoma related genes with mRMR and shortest path approaches.
title_short Identification of thyroid carcinoma related genes with mRMR and shortest path approaches.
title_sort identification of thyroid carcinoma related genes with mrmr and shortest path approaches
url http://europepmc.org/articles/PMC3981740?pdf=render
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