Introducing novel key genes and transcription factors associated with rectal cancer response to chemoradiation through co-expression network analysis
Preoperative radiochemotherapy is a promising therapeutic method for locally advanced rectal cancer patients. However, the response of colorectal cancer (CRC) patients to preoperative radiotherapy varies widely. In this study, we aimed to identify novel biomarkers that could predict the response of...
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Elsevier
2023-08-01
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Series: | Heliyon |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023060772 |
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author | Saeid Afshar Tapak Leili Payam Amini Irina Dinu |
author_facet | Saeid Afshar Tapak Leili Payam Amini Irina Dinu |
author_sort | Saeid Afshar |
collection | DOAJ |
description | Preoperative radiochemotherapy is a promising therapeutic method for locally advanced rectal cancer patients. However, the response of colorectal cancer (CRC) patients to preoperative radiotherapy varies widely. In this study, we aimed to identify novel biomarkers that could predict the response of colorectal tumors to treatment using a systems biology approach. We applied the Weighted Gene Co-Expression Network Analysis to construct co-expression networks and evaluated the correlation of these networks with radiation using the module-trait relationship. We then identified hub genes and related transcription factors in the selected co-expression module.Our analysis of seven constructed modules revealed that one module, which contained 113 nodes and 6066 edges, had the strongest correlation with radiation effects on CRC (correlation = 0.85; p-value = 6e-7). By analyzing the selected module with the CytoHubba plugin, we identified four hub genes, including ZEB2, JAM2, NDN, and PPAP2A. We also identified seven important transcription factors, including KLF4, SUZ12, TCF4, NANOG, POU5F1, SOX2, and SMARCA4, which may play essential roles in regulating the four hub genes.In summary, our findings suggest that ZEB2, JAM2, NDN, and PPAP2A, along with the seven transcription factors related to these hub genes, may be associated with the response of colorectal tumors to chemoradiotherapy. |
first_indexed | 2024-03-12T12:22:07Z |
format | Article |
id | doaj.art-e39145d90abf4d5f8d020d96a9da62d2 |
institution | Directory Open Access Journal |
issn | 2405-8440 |
language | English |
last_indexed | 2024-03-12T12:22:07Z |
publishDate | 2023-08-01 |
publisher | Elsevier |
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series | Heliyon |
spelling | doaj.art-e39145d90abf4d5f8d020d96a9da62d22023-08-30T05:52:55ZengElsevierHeliyon2405-84402023-08-0198e18869Introducing novel key genes and transcription factors associated with rectal cancer response to chemoradiation through co-expression network analysisSaeid Afshar0Tapak Leili1Payam Amini2Irina Dinu3Cancer Research Center, Hamadan University of Medical Sciences, Hamadan, IranDepartment of Biostatistics, School of Public Health and Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran; Corresponding author. Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.School of Medicine, Keele University, Keele, Staffordshire, ST5 5BG, UKSchool of Public Health, University of Alberta, Edmonton, AB, CanadaPreoperative radiochemotherapy is a promising therapeutic method for locally advanced rectal cancer patients. However, the response of colorectal cancer (CRC) patients to preoperative radiotherapy varies widely. In this study, we aimed to identify novel biomarkers that could predict the response of colorectal tumors to treatment using a systems biology approach. We applied the Weighted Gene Co-Expression Network Analysis to construct co-expression networks and evaluated the correlation of these networks with radiation using the module-trait relationship. We then identified hub genes and related transcription factors in the selected co-expression module.Our analysis of seven constructed modules revealed that one module, which contained 113 nodes and 6066 edges, had the strongest correlation with radiation effects on CRC (correlation = 0.85; p-value = 6e-7). By analyzing the selected module with the CytoHubba plugin, we identified four hub genes, including ZEB2, JAM2, NDN, and PPAP2A. We also identified seven important transcription factors, including KLF4, SUZ12, TCF4, NANOG, POU5F1, SOX2, and SMARCA4, which may play essential roles in regulating the four hub genes.In summary, our findings suggest that ZEB2, JAM2, NDN, and PPAP2A, along with the seven transcription factors related to these hub genes, may be associated with the response of colorectal tumors to chemoradiotherapy.http://www.sciencedirect.com/science/article/pii/S2405844023060772WGCNAColorectal neoplasmChemoradiotherapyTranscription factors |
spellingShingle | Saeid Afshar Tapak Leili Payam Amini Irina Dinu Introducing novel key genes and transcription factors associated with rectal cancer response to chemoradiation through co-expression network analysis Heliyon WGCNA Colorectal neoplasm Chemoradiotherapy Transcription factors |
title | Introducing novel key genes and transcription factors associated with rectal cancer response to chemoradiation through co-expression network analysis |
title_full | Introducing novel key genes and transcription factors associated with rectal cancer response to chemoradiation through co-expression network analysis |
title_fullStr | Introducing novel key genes and transcription factors associated with rectal cancer response to chemoradiation through co-expression network analysis |
title_full_unstemmed | Introducing novel key genes and transcription factors associated with rectal cancer response to chemoradiation through co-expression network analysis |
title_short | Introducing novel key genes and transcription factors associated with rectal cancer response to chemoradiation through co-expression network analysis |
title_sort | introducing novel key genes and transcription factors associated with rectal cancer response to chemoradiation through co expression network analysis |
topic | WGCNA Colorectal neoplasm Chemoradiotherapy Transcription factors |
url | http://www.sciencedirect.com/science/article/pii/S2405844023060772 |
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