Establishment of apoptotic regulatory network for genetic markers of colorectal cancer

Our purpose is to screen out genetic markers applicable to early diagnosis for colorectal cancer and to establish apoptotic regulatory network model for colorectal cancer, thereby providing theoretical evidence and targeted therapy for early diagnosis of colorectal cancer. Taking databases including...

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Main Authors: Yibin Hao, Guoyong Shan, Kejun Nan
Format: Article
Language:English
Published: Elsevier 2017-03-01
Series:Saudi Journal of Biological Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319562X17300232
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spelling doaj-30941b1393724f7c806450b7902224332020-11-25T00:24:46ZengElsevierSaudi Journal of Biological Sciences1319-562X2017-03-0124346647610.1016/j.sjbs.2017.01.014Establishment of apoptotic regulatory network for genetic markers of colorectal cancerYibin Hao0Guoyong Shan1Kejun Nan2Department of Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710077, ChinaDepartment of Oncological Radiotherapy, People’s Hospital of Zhengzhou, Zhengzhou 450003, ChinaDepartment of Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710077, ChinaOur purpose is to screen out genetic markers applicable to early diagnosis for colorectal cancer and to establish apoptotic regulatory network model for colorectal cancer, thereby providing theoretical evidence and targeted therapy for early diagnosis of colorectal cancer. Taking databases including CNKI, VIP, Wanfang data, Pub Med, and MEDLINE as main sources of literature retrieval, literatures associated with genetic markers applied to early diagnosis of colorectal cancer were searched to perform comprehensive and quantitative analysis by Meta analysis, hence screening genetic markers used in early diagnosis of colorectal cancer. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were employed to establish apoptotic regulatory network model based on screened genetic markers, and then verification experiment was conducted. Through Meta analysis, seven genetic markers were screened out, including WWOX, K-ras, COX-2, p53, APC, DCC and PTEN, among which DCC shows highest diagnostic efficiency. GO analysis of genetic markers found that six genetic markers played role in biological process, molecular function and cellular component. It was indicated in apoptotic regulatory network built by KEGG analysis and verification experiment that WWOX could promote tumor cell apoptotic in colorectal cancer and elevate expression level of p53. The apoptotic regulatory model of colorectal cancer established in this study provides clinically theoretical evidence and targeted therapy for early diagnosis of colorectal cancer.http://www.sciencedirect.com/science/article/pii/S1319562X17300232Colorectal cancerGenetic markerMeta analysisGO analysisKEGG analysis
collection DOAJ
language English
format Article
sources DOAJ
author Yibin Hao
Guoyong Shan
Kejun Nan
spellingShingle Yibin Hao
Guoyong Shan
Kejun Nan
Establishment of apoptotic regulatory network for genetic markers of colorectal cancer
Saudi Journal of Biological Sciences
Colorectal cancer
Genetic marker
Meta analysis
GO analysis
KEGG analysis
author_facet Yibin Hao
Guoyong Shan
Kejun Nan
author_sort Yibin Hao
title Establishment of apoptotic regulatory network for genetic markers of colorectal cancer
title_short Establishment of apoptotic regulatory network for genetic markers of colorectal cancer
title_full Establishment of apoptotic regulatory network for genetic markers of colorectal cancer
title_fullStr Establishment of apoptotic regulatory network for genetic markers of colorectal cancer
title_full_unstemmed Establishment of apoptotic regulatory network for genetic markers of colorectal cancer
title_sort establishment of apoptotic regulatory network for genetic markers of colorectal cancer
publisher Elsevier
series Saudi Journal of Biological Sciences
issn 1319-562X
publishDate 2017-03-01
description Our purpose is to screen out genetic markers applicable to early diagnosis for colorectal cancer and to establish apoptotic regulatory network model for colorectal cancer, thereby providing theoretical evidence and targeted therapy for early diagnosis of colorectal cancer. Taking databases including CNKI, VIP, Wanfang data, Pub Med, and MEDLINE as main sources of literature retrieval, literatures associated with genetic markers applied to early diagnosis of colorectal cancer were searched to perform comprehensive and quantitative analysis by Meta analysis, hence screening genetic markers used in early diagnosis of colorectal cancer. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were employed to establish apoptotic regulatory network model based on screened genetic markers, and then verification experiment was conducted. Through Meta analysis, seven genetic markers were screened out, including WWOX, K-ras, COX-2, p53, APC, DCC and PTEN, among which DCC shows highest diagnostic efficiency. GO analysis of genetic markers found that six genetic markers played role in biological process, molecular function and cellular component. It was indicated in apoptotic regulatory network built by KEGG analysis and verification experiment that WWOX could promote tumor cell apoptotic in colorectal cancer and elevate expression level of p53. The apoptotic regulatory model of colorectal cancer established in this study provides clinically theoretical evidence and targeted therapy for early diagnosis of colorectal cancer.
topic Colorectal cancer
Genetic marker
Meta analysis
GO analysis
KEGG analysis
url http://www.sciencedirect.com/science/article/pii/S1319562X17300232
work_keys_str_mv AT yibinhao establishmentofapoptoticregulatorynetworkforgeneticmarkersofcolorectalcancer
AT guoyongshan establishmentofapoptoticregulatorynetworkforgeneticmarkersofcolorectalcancer
AT kejunnan establishmentofapoptoticregulatorynetworkforgeneticmarkersofcolorectalcancer
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