m7G-Related DNA Damage Repair Genes are Potential Biomarkers for Predicting Prognosis and Immunotherapy Effectiveness in Colon Cancer Patients
Objective: m 7 G is a post-transcriptional modification modality, however, limited research has been conducted on its role in colon cancer. DNA damage repair (DDR) is an important factor that contributes to colon cancer development, growth and chemoresistance. This study aimed to explore whether m 7...
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Published in | Frontiers in genetics Vol. 13; p. 918159 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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09.06.2022
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Abstract | Objective:
m
7
G is a post-transcriptional modification modality, however, limited research has been conducted on its role in colon cancer. DNA damage repair (DDR) is an important factor that contributes to colon cancer development, growth and chemoresistance. This study aimed to explore whether m
7
G-related DNA damage repair genes may be used as biomarkers to predict the prognosis of colon cancer patients.
Methods:
We use non-negative matrix factorization (NMF) to type CRC patients into. Risk models were constructed using different expression genes in two clusters. We assessed the reliability of risk models with DCA curves, and a Nomogram. Meanwhile, The receiver operating characteristic and C-index curves were used to compare the predictive significance of the constructed risk models with other studies. In additional, we examined the significance of risk models on patients’ immunity microenvironment and response to immune therapy. Finally, we used a series of cellular experiments to validate the effect of model genes on the malignant progression of CRC cells.
Results:
Twenty-eight m
7
G genes were obtained from the GSEA database. Multivariate Cox and LASSO Cox regression analysis was performed and eleven m
7
G-related DDR genes were identified for constructing the risk model. Survival and stage of CRC patients were worser in the high-risk group than in the low-risk group for both the training and test sets. Additionally, the different immune microenvironment status of patients in the high- and low-risk groups, suggesting that patients in the low-risk group may be more sensitive to immunotherapy, particularly immune checkpoint inhibitors. Finally, we found that depletion of ATP2A1, one of the risk genes in our model, influence the biologic behaviour of CRC cells significantly.
Conclusion:
The m
7
G-related DDR genes can be used as important markers for predicting patient prognosis and immunotherapy response. Our data suggest that ATP2A1 may promote the proliferation of colon cancer cells. These findings may provide new therapeutic targets for the treatment of colon cancer. |
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AbstractList | Objective: m7G is a post-transcriptional modification modality, however, limited research has been conducted on its role in colon cancer. DNA damage repair (DDR) is an important factor that contributes to colon cancer development, growth and chemoresistance. This study aimed to explore whether m7G-related DNA damage repair genes may be used as biomarkers to predict the prognosis of colon cancer patients.Methods: We use non-negative matrix factorization (NMF) to type CRC patients into. Risk models were constructed using different expression genes in two clusters. We assessed the reliability of risk models with DCA curves, and a Nomogram. Meanwhile, The receiver operating characteristic and C-index curves were used to compare the predictive significance of the constructed risk models with other studies. In additional, we examined the significance of risk models on patients’ immunity microenvironment and response to immune therapy. Finally, we used a series of cellular experiments to validate the effect of model genes on the malignant progression of CRC cells.Results: Twenty-eight m7G genes were obtained from the GSEA database. Multivariate Cox and LASSO Cox regression analysis was performed and eleven m7G-related DDR genes were identified for constructing the risk model. Survival and stage of CRC patients were worser in the high-risk group than in the low-risk group for both the training and test sets. Additionally, the different immune microenvironment status of patients in the high- and low-risk groups, suggesting that patients in the low-risk group may be more sensitive to immunotherapy, particularly immune checkpoint inhibitors. Finally, we found that depletion of ATP2A1, one of the risk genes in our model, influence the biologic behaviour of CRC cells significantly.Conclusion: The m7G-related DDR genes can be used as important markers for predicting patient prognosis and immunotherapy response. Our data suggest that ATP2A1 may promote the proliferation of colon cancer cells. These findings may provide new therapeutic targets for the treatment of colon cancer. Objective: m 7 G is a post-transcriptional modification modality, however, limited research has been conducted on its role in colon cancer. DNA damage repair (DDR) is an important factor that contributes to colon cancer development, growth and chemoresistance. This study aimed to explore whether m 7 G-related DNA damage repair genes may be used as biomarkers to predict the prognosis of colon cancer patients. Methods: We use non-negative matrix factorization (NMF) to type CRC patients into. Risk models were constructed using different expression genes in two clusters. We assessed the reliability of risk models with DCA curves, and a Nomogram. Meanwhile, The receiver operating characteristic and C-index curves were used to compare the predictive significance of the constructed risk models with other studies. In additional, we examined the significance of risk models on patients’ immunity microenvironment and response to immune therapy. Finally, we used a series of cellular experiments to validate the effect of model genes on the malignant progression of CRC cells. Results: Twenty-eight m 7 G genes were obtained from the GSEA database. Multivariate Cox and LASSO Cox regression analysis was performed and eleven m 7 G-related DDR genes were identified for constructing the risk model. Survival and stage of CRC patients were worser in the high-risk group than in the low-risk group for both the training and test sets. Additionally, the different immune microenvironment status of patients in the high- and low-risk groups, suggesting that patients in the low-risk group may be more sensitive to immunotherapy, particularly immune checkpoint inhibitors. Finally, we found that depletion of ATP2A1, one of the risk genes in our model, influence the biologic behaviour of CRC cells significantly. Conclusion: The m 7 G-related DDR genes can be used as important markers for predicting patient prognosis and immunotherapy response. Our data suggest that ATP2A1 may promote the proliferation of colon cancer cells. These findings may provide new therapeutic targets for the treatment of colon cancer. Objective: m7G is a post-transcriptional modification modality, however, limited research has been conducted on its role in colon cancer. DNA damage repair (DDR) is an important factor that contributes to colon cancer development, growth and chemoresistance. This study aimed to explore whether m7G-related DNA damage repair genes may be used as biomarkers to predict the prognosis of colon cancer patients. Methods: We use non-negative matrix factorization (NMF) to type CRC patients into. Risk models were constructed using different expression genes in two clusters. We assessed the reliability of risk models with DCA curves, and a Nomogram. Meanwhile, The receiver operating characteristic and C-index curves were used to compare the predictive significance of the constructed risk models with other studies. In additional, we examined the significance of risk models on patients' immunity microenvironment and response to immune therapy. Finally, we used a series of cellular experiments to validate the effect of model genes on the malignant progression of CRC cells. Results: Twenty-eight m7G genes were obtained from the GSEA database. Multivariate Cox and LASSO Cox regression analysis was performed and eleven m7G-related DDR genes were identified for constructing the risk model. Survival and stage of CRC patients were worser in the high-risk group than in the low-risk group for both the training and test sets. Additionally, the different immune microenvironment status of patients in the high- and low-risk groups, suggesting that patients in the low-risk group may be more sensitive to immunotherapy, particularly immune checkpoint inhibitors. Finally, we found that depletion of ATP2A1, one of the risk genes in our model, influence the biologic behaviour of CRC cells significantly. Conclusion: The m7G-related DDR genes can be used as important markers for predicting patient prognosis and immunotherapy response. Our data suggest that ATP2A1 may promote the proliferation of colon cancer cells. These findings may provide new therapeutic targets for the treatment of colon cancer.Objective: m7G is a post-transcriptional modification modality, however, limited research has been conducted on its role in colon cancer. DNA damage repair (DDR) is an important factor that contributes to colon cancer development, growth and chemoresistance. This study aimed to explore whether m7G-related DNA damage repair genes may be used as biomarkers to predict the prognosis of colon cancer patients. Methods: We use non-negative matrix factorization (NMF) to type CRC patients into. Risk models were constructed using different expression genes in two clusters. We assessed the reliability of risk models with DCA curves, and a Nomogram. Meanwhile, The receiver operating characteristic and C-index curves were used to compare the predictive significance of the constructed risk models with other studies. In additional, we examined the significance of risk models on patients' immunity microenvironment and response to immune therapy. Finally, we used a series of cellular experiments to validate the effect of model genes on the malignant progression of CRC cells. Results: Twenty-eight m7G genes were obtained from the GSEA database. Multivariate Cox and LASSO Cox regression analysis was performed and eleven m7G-related DDR genes were identified for constructing the risk model. Survival and stage of CRC patients were worser in the high-risk group than in the low-risk group for both the training and test sets. Additionally, the different immune microenvironment status of patients in the high- and low-risk groups, suggesting that patients in the low-risk group may be more sensitive to immunotherapy, particularly immune checkpoint inhibitors. Finally, we found that depletion of ATP2A1, one of the risk genes in our model, influence the biologic behaviour of CRC cells significantly. Conclusion: The m7G-related DDR genes can be used as important markers for predicting patient prognosis and immunotherapy response. Our data suggest that ATP2A1 may promote the proliferation of colon cancer cells. These findings may provide new therapeutic targets for the treatment of colon cancer. |
Author | Lu, Fei Dong, Rui Liu, Mulin Wen, Hexin Chen, Shuran Li, Yan Wu, Huazhang Peng, Guisen Zheng, Ni Wang, Yitong Qiu, Quanwei |
AuthorAffiliation | 2 Department of Gynecologic Oncology , First Affiliated Hospital of Bengbu Medical College , Bengbu , China 1 Department of Gastrointestinal Surgery , First Affiliated Hospital of Bengbu Medical College , Bengbu , China 3 School of Life Science , Anhui Province Key Laboratory of Translational Cancer Research , Bengbu Medical College , Bengbu , China |
AuthorAffiliation_xml | – name: 2 Department of Gynecologic Oncology , First Affiliated Hospital of Bengbu Medical College , Bengbu , China – name: 1 Department of Gastrointestinal Surgery , First Affiliated Hospital of Bengbu Medical College , Bengbu , China – name: 3 School of Life Science , Anhui Province Key Laboratory of Translational Cancer Research , Bengbu Medical College , Bengbu , China |
Author_xml | – sequence: 1 givenname: Shuran surname: Chen fullname: Chen, Shuran – sequence: 2 givenname: Rui surname: Dong fullname: Dong, Rui – sequence: 3 givenname: Yan surname: Li fullname: Li, Yan – sequence: 4 givenname: Ni surname: Zheng fullname: Zheng, Ni – sequence: 5 givenname: Guisen surname: Peng fullname: Peng, Guisen – sequence: 6 givenname: Fei surname: Lu fullname: Lu, Fei – sequence: 7 givenname: Quanwei surname: Qiu fullname: Qiu, Quanwei – sequence: 8 givenname: Hexin surname: Wen fullname: Wen, Hexin – sequence: 9 givenname: Yitong surname: Wang fullname: Wang, Yitong – sequence: 10 givenname: Huazhang surname: Wu fullname: Wu, Huazhang – sequence: 11 givenname: Mulin surname: Liu fullname: Liu, Mulin |
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Cites_doi | 10.1038/nature21671 10.1093/nar/gkn772 10.1016/j.molcel.2021.06.031 10.1016/j.molcel.2021.07.003 10.1016/j.jare.2020.03.009 10.1177/15330338211019504 10.1158/1078-0432.ccr-19-0899 10.3322/caac.21660 10.3390/cells10061270 10.1038/nprot.2008.211 10.1016/j.jtho.2021.10.013 10.1002/ctm2.675 10.4103/sjg.sjg_530_20 10.1073/pnas.1515152113 10.1146/annurev-immunol-100311-102839 10.1053/j.gastro.2020.09.058 10.1016/j.annonc.2020.05.027 10.1177/1073274820922559 10.1158/2159-8290.cd-21-0365 10.3389/fcell.2021.642080 10.1093/bib/bbaa176 10.12659/msm.907224 10.1007/s11606-018-4648-7 10.1158/2159-8290.cd-21-1059 10.1016/j.molcel.2018.06.001 10.1038/s41467-019-10987-3 10.1038/s41586-021-04065-2 10.3390/medicina57101074 10.6004/jnccn.2021.7023 10.7150/thno.45391 10.3390/ijms19124080 10.1016/j.ccell.2021.11.003 10.1038/s41577-020-0306-5 10.1038/s41568-020-0288-4 10.3389/fphys.2019.00621 10.1056/nejmoa2105281 10.1080/0284186x.2016.1198493 10.1002/jcp.25952 10.1038/s41571-021-00546-5 |
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Copyright | Copyright © 2022 Chen, Dong, Li, Zheng, Peng, Lu, Qiu, Wen, Wang, Wu and Liu. Copyright © 2022 Chen, Dong, Li, Zheng, Peng, Lu, Qiu, Wen, Wang, Wu and Liu. 2022 Chen, Dong, Li, Zheng, Peng, Lu, Qiu, Wen, Wang, Wu and Liu |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Weimin Zhong, Xiamen Fifth Hospital, China Edited by: Ehsan Nazemalhosseini-Mojarad, Shahid Beheshti University of Medical Sciences, Iran These authors have contributed equally to this work This article was submitted to Cancer Genetics and Oncogenomics, a section of the journal Frontiers in Genetics Qian Chen, Guangxi Medical University Cancer Hospital, China |
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Snippet | Objective:
m
7
G is a post-transcriptional modification modality, however, limited research has been conducted on its role in colon cancer. DNA damage repair... Objective: m7G is a post-transcriptional modification modality, however, limited research has been conducted on its role in colon cancer. DNA damage repair... |
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StartPage | 918159 |
SubjectTerms | colon cancer DNA damage repair Genetics m 7 G prognostic model tumour immunity |
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Title | m7G-Related DNA Damage Repair Genes are Potential Biomarkers for Predicting Prognosis and Immunotherapy Effectiveness in Colon Cancer Patients |
URI | https://www.proquest.com/docview/2681449789 https://pubmed.ncbi.nlm.nih.gov/PMC9218807 https://doaj.org/article/7fedcf23bc6b4a40beab2ad4e104c463 |
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