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Research on radiotherapy related genes and prognostic target identification of rectal cancer based on multi-omics

BACKGROUND: Radiosensitivity of rectal cancer is related to the radiotherapy efficacy and prognosis of patients with rectal cancer, and the genes and molecular mechanisms related to radiosensitivity of rectal cancer have not been clarified. We explored the radiosensitivity related genes of rectal ca...

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Autores principales: Liu, Yi, Yang, Yanguang, Ni, Feng, Tai, Guomei, Yu, Cenming, Jiang, Xiaohui, Wang, Ding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680259/
https://www.ncbi.nlm.nih.gov/pubmed/38012642
http://dx.doi.org/10.1186/s12967-023-04753-9
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author Liu, Yi
Yang, Yanguang
Ni, Feng
Tai, Guomei
Yu, Cenming
Jiang, Xiaohui
Wang, Ding
author_facet Liu, Yi
Yang, Yanguang
Ni, Feng
Tai, Guomei
Yu, Cenming
Jiang, Xiaohui
Wang, Ding
author_sort Liu, Yi
collection PubMed
description BACKGROUND: Radiosensitivity of rectal cancer is related to the radiotherapy efficacy and prognosis of patients with rectal cancer, and the genes and molecular mechanisms related to radiosensitivity of rectal cancer have not been clarified. We explored the radiosensitivity related genes of rectal cancer at a multi omics level. METHODS: mRNA expression data and rectum adenocarcinoma (READ) data were obtained from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus Database (GEO) (GSE150082, GSE60331, GSE46862, GSE46862). Differentially expressed genes between radiotherapy sensitive group and radiotherapy insensitive group were screened. GO analysis and KEGG pathway analysis were performed for differentially expressed genes. Among the differentially expressed genes, five core genes associated with rectal cancer prognosis were selected using random survival forest analysis. For these five core genes, drug sensitivity analysis, immune cell infiltration analysis, TISIDB database immune gene correlation analysis, GSEA enrichment analysis, construction of Nomogram prediction model, transcriptional regulatory network analysis, and qRT-PCR validation was performed on human rectal adenocarcinoma tissue. RESULTS: We found that 600 up-regulated genes and 553 down-regulated genes were significantly different between radiotherapy sensitive group and radiotherapy insensitive group in rectal cancer. Five key genes, TOP2A, MATR3, APOL6, JOSD1, and HOXC6, were finally screened by random survival forest analysis. These five key genes were associated with different immune cell infiltration, immune-related genes, and chemosensitivity. A comprehensive transcriptional regulatory network was constructed based on these five core genes. qRT-PCR revealed that MATR3 expression was different in rectal cancer tissues and adjacent non-cancerous tissues, while APOL6, HOXC6, JOSD1, and TOP2A expression was not different. CONCLUSION: Five radiosensitivity-related genes related to the prognosis of rectal cancer: TOP2A, MATR3, APOL6, JOSD1, HOXC6, are involved in multiple processes such as immune cell infiltration, immune-related genes, chemosensitivity, signaling pathways and transcriptional regulatory networks and may be potential biomarkers for radiotherapy of rectal cancer.
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spelling pubmed-106802592023-11-27 Research on radiotherapy related genes and prognostic target identification of rectal cancer based on multi-omics Liu, Yi Yang, Yanguang Ni, Feng Tai, Guomei Yu, Cenming Jiang, Xiaohui Wang, Ding J Transl Med Research BACKGROUND: Radiosensitivity of rectal cancer is related to the radiotherapy efficacy and prognosis of patients with rectal cancer, and the genes and molecular mechanisms related to radiosensitivity of rectal cancer have not been clarified. We explored the radiosensitivity related genes of rectal cancer at a multi omics level. METHODS: mRNA expression data and rectum adenocarcinoma (READ) data were obtained from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus Database (GEO) (GSE150082, GSE60331, GSE46862, GSE46862). Differentially expressed genes between radiotherapy sensitive group and radiotherapy insensitive group were screened. GO analysis and KEGG pathway analysis were performed for differentially expressed genes. Among the differentially expressed genes, five core genes associated with rectal cancer prognosis were selected using random survival forest analysis. For these five core genes, drug sensitivity analysis, immune cell infiltration analysis, TISIDB database immune gene correlation analysis, GSEA enrichment analysis, construction of Nomogram prediction model, transcriptional regulatory network analysis, and qRT-PCR validation was performed on human rectal adenocarcinoma tissue. RESULTS: We found that 600 up-regulated genes and 553 down-regulated genes were significantly different between radiotherapy sensitive group and radiotherapy insensitive group in rectal cancer. Five key genes, TOP2A, MATR3, APOL6, JOSD1, and HOXC6, were finally screened by random survival forest analysis. These five key genes were associated with different immune cell infiltration, immune-related genes, and chemosensitivity. A comprehensive transcriptional regulatory network was constructed based on these five core genes. qRT-PCR revealed that MATR3 expression was different in rectal cancer tissues and adjacent non-cancerous tissues, while APOL6, HOXC6, JOSD1, and TOP2A expression was not different. CONCLUSION: Five radiosensitivity-related genes related to the prognosis of rectal cancer: TOP2A, MATR3, APOL6, JOSD1, HOXC6, are involved in multiple processes such as immune cell infiltration, immune-related genes, chemosensitivity, signaling pathways and transcriptional regulatory networks and may be potential biomarkers for radiotherapy of rectal cancer. BioMed Central 2023-11-27 /pmc/articles/PMC10680259/ /pubmed/38012642 http://dx.doi.org/10.1186/s12967-023-04753-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Yi
Yang, Yanguang
Ni, Feng
Tai, Guomei
Yu, Cenming
Jiang, Xiaohui
Wang, Ding
Research on radiotherapy related genes and prognostic target identification of rectal cancer based on multi-omics
title Research on radiotherapy related genes and prognostic target identification of rectal cancer based on multi-omics
title_full Research on radiotherapy related genes and prognostic target identification of rectal cancer based on multi-omics
title_fullStr Research on radiotherapy related genes and prognostic target identification of rectal cancer based on multi-omics
title_full_unstemmed Research on radiotherapy related genes and prognostic target identification of rectal cancer based on multi-omics
title_short Research on radiotherapy related genes and prognostic target identification of rectal cancer based on multi-omics
title_sort research on radiotherapy related genes and prognostic target identification of rectal cancer based on multi-omics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680259/
https://www.ncbi.nlm.nih.gov/pubmed/38012642
http://dx.doi.org/10.1186/s12967-023-04753-9
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