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Predicting tumor repopulation through the gene panel derived from radiation resistant colorectal cancer cells

BACKGROUND: Tumor cells with the capability of radiation resistance can escape the fate of cell death after radiotherapy, serving as the main cause of treatment failure. Repopulation of tumors after radiotherapy is dominated by this group of residual cells, which greatly reduce the sensitivity of re...

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Autores principales: Song, Yanwei, Deng, Zheng, Sun, Haoran, Zhao, Yucui, Zhao, Ruyi, Cheng, Jin, Huang, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273655/
https://www.ncbi.nlm.nih.gov/pubmed/37328854
http://dx.doi.org/10.1186/s12967-023-04260-x
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author Song, Yanwei
Deng, Zheng
Sun, Haoran
Zhao, Yucui
Zhao, Ruyi
Cheng, Jin
Huang, Qian
author_facet Song, Yanwei
Deng, Zheng
Sun, Haoran
Zhao, Yucui
Zhao, Ruyi
Cheng, Jin
Huang, Qian
author_sort Song, Yanwei
collection PubMed
description BACKGROUND: Tumor cells with the capability of radiation resistance can escape the fate of cell death after radiotherapy, serving as the main cause of treatment failure. Repopulation of tumors after radiotherapy is dominated by this group of residual cells, which greatly reduce the sensitivity of recurrent tumors to the therapy, resulting in poor clinical outcomes. Therefore, revealing the mechanism of radiation resistant cells participating in tumor repopulation is of vital importance for cancer patients to obtain a better prognosis. METHODS: Co-expressed genes were searched by using genetic data of radiation resistant cells (from GEO database) and TCGA colorectal cancer. Univariate and multivariate Cox regression analysis were performed to define the most significant co-expressed genes for establishing prognostic indicator. Logistic analysis, WGCNA analysis, and other types of tumors were included to verify the predictive ability of the indicator. RT-qPCR was carried out to test expression level of key genes in colorectal cancer cell lines. Colongenic assay was utilized to test the radio-sensitivity and repopulation ability of key gene knockdown cells. RESULTS: Prognostic indicator based on TCGA colorectal cancer patients containing four key radiation resistance genes (LGR5, KCNN4, TNS4, CENPH) was established. The indicator was shown to be significantly correlated with the prognosis of colorectal cancer patients undergoing radiotherapy, and also had an acceptable predictive effect in the other five types of cancer. RT-qPCR showed that expression level of key genes was basically consistent with the radiation resistance level of colorectal cancer cells. The clonogenic ability of all key gene knockdown cells decreased after radiation treatment compared with the control groups. CONCLUSIONS: Our data suggest that LGR5, KCNN4, TNS4 and CENPH are correlated with radiation sensitivity of colorectal cancer cells, and the indicator composed by them can reflect the prognosis of colorectal cancer patients undergoing radiation therapy. Our data provide an evidence of radiation resistant tumor cells involved in tumor repopulation, and give patients undergoing radiotherapy an approving prognostic indicator with regard to tumor progression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04260-x.
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spelling pubmed-102736552023-06-17 Predicting tumor repopulation through the gene panel derived from radiation resistant colorectal cancer cells Song, Yanwei Deng, Zheng Sun, Haoran Zhao, Yucui Zhao, Ruyi Cheng, Jin Huang, Qian J Transl Med Research BACKGROUND: Tumor cells with the capability of radiation resistance can escape the fate of cell death after radiotherapy, serving as the main cause of treatment failure. Repopulation of tumors after radiotherapy is dominated by this group of residual cells, which greatly reduce the sensitivity of recurrent tumors to the therapy, resulting in poor clinical outcomes. Therefore, revealing the mechanism of radiation resistant cells participating in tumor repopulation is of vital importance for cancer patients to obtain a better prognosis. METHODS: Co-expressed genes were searched by using genetic data of radiation resistant cells (from GEO database) and TCGA colorectal cancer. Univariate and multivariate Cox regression analysis were performed to define the most significant co-expressed genes for establishing prognostic indicator. Logistic analysis, WGCNA analysis, and other types of tumors were included to verify the predictive ability of the indicator. RT-qPCR was carried out to test expression level of key genes in colorectal cancer cell lines. Colongenic assay was utilized to test the radio-sensitivity and repopulation ability of key gene knockdown cells. RESULTS: Prognostic indicator based on TCGA colorectal cancer patients containing four key radiation resistance genes (LGR5, KCNN4, TNS4, CENPH) was established. The indicator was shown to be significantly correlated with the prognosis of colorectal cancer patients undergoing radiotherapy, and also had an acceptable predictive effect in the other five types of cancer. RT-qPCR showed that expression level of key genes was basically consistent with the radiation resistance level of colorectal cancer cells. The clonogenic ability of all key gene knockdown cells decreased after radiation treatment compared with the control groups. CONCLUSIONS: Our data suggest that LGR5, KCNN4, TNS4 and CENPH are correlated with radiation sensitivity of colorectal cancer cells, and the indicator composed by them can reflect the prognosis of colorectal cancer patients undergoing radiation therapy. Our data provide an evidence of radiation resistant tumor cells involved in tumor repopulation, and give patients undergoing radiotherapy an approving prognostic indicator with regard to tumor progression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04260-x. BioMed Central 2023-06-16 /pmc/articles/PMC10273655/ /pubmed/37328854 http://dx.doi.org/10.1186/s12967-023-04260-x 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
Song, Yanwei
Deng, Zheng
Sun, Haoran
Zhao, Yucui
Zhao, Ruyi
Cheng, Jin
Huang, Qian
Predicting tumor repopulation through the gene panel derived from radiation resistant colorectal cancer cells
title Predicting tumor repopulation through the gene panel derived from radiation resistant colorectal cancer cells
title_full Predicting tumor repopulation through the gene panel derived from radiation resistant colorectal cancer cells
title_fullStr Predicting tumor repopulation through the gene panel derived from radiation resistant colorectal cancer cells
title_full_unstemmed Predicting tumor repopulation through the gene panel derived from radiation resistant colorectal cancer cells
title_short Predicting tumor repopulation through the gene panel derived from radiation resistant colorectal cancer cells
title_sort predicting tumor repopulation through the gene panel derived from radiation resistant colorectal cancer cells
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273655/
https://www.ncbi.nlm.nih.gov/pubmed/37328854
http://dx.doi.org/10.1186/s12967-023-04260-x
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