Unveiling the prognostic significance of RNA editing-related genes in colon cancer: evidence from bioinformatics and experiment
Abstract Background RNA editing is recognized as a crucial factor in cancer biology. Its potential application in predicting the prognosis of colon adenocarcinoma (COAD) remains unexplored. Methods RNA editing data of COAD patients were downloaded from the Synapse database. LASSO regression was used...
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| Language: | English |
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BMC
2025-02-01
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| Series: | European Journal of Medical Research |
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| Online Access: | https://doi.org/10.1186/s40001-025-02335-7 |
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| author | Zhengcong Deng Xueqin Jin Bingxue Liu Hongyan Zhen Xiang Wang |
| author_facet | Zhengcong Deng Xueqin Jin Bingxue Liu Hongyan Zhen Xiang Wang |
| author_sort | Zhengcong Deng |
| collection | DOAJ |
| description | Abstract Background RNA editing is recognized as a crucial factor in cancer biology. Its potential application in predicting the prognosis of colon adenocarcinoma (COAD) remains unexplored. Methods RNA editing data of COAD patients were downloaded from the Synapse database. LASSO regression was used to construct the risk model and verified by the receiver operating characteristic (ROC) curve. GO and KEGG enrichment analyses were performed to delineate the biological significance of the differentially expressed genes. Finally, differential analysis and immunohistochemistry were used to verify the expression of adenosine deaminase 1 (ADAR1). Results We evaluated a total of 4079 RNA editing sites in 514 COAD patients from Synapse database. A prognostic signature was constructed based on five genes were significantly associated with the prognosis of COAD patients including GNL3L, NUP43, MAGT1, EMP2, and ARSD. Univariate and multivariate Cox regression analysis revealed that RNA editing-related genes (RERGs)-related signature was an independent risk factor for COAD. Moreover, Experimental evidence shows that ADAR1 is highly expressed in colon adenocarcinoma and silencing ADAR1 can inhibit cancer cell proliferation. Conclusion We established a prognostic model based on five RERGs with strong predictive value. This model not only serves as a foundation for a novel prognostic tool but also facilitates the identification of potential drug candidates for treating COAD. |
| format | Article |
| id | doaj-art-db69e79587cd4513a37c803f2a0b626a |
| institution | DOAJ |
| issn | 2047-783X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | European Journal of Medical Research |
| spelling | doaj-art-db69e79587cd4513a37c803f2a0b626a2025-08-20T03:00:57ZengBMCEuropean Journal of Medical Research2047-783X2025-02-0130111510.1186/s40001-025-02335-7Unveiling the prognostic significance of RNA editing-related genes in colon cancer: evidence from bioinformatics and experimentZhengcong Deng0Xueqin Jin1Bingxue Liu2Hongyan Zhen3Xiang Wang4Hubei Third People’s HospitalHubei Third People’s HospitalMedical School, Jianghan UniversityMedical School, Jianghan UniversityMedical School, Jianghan UniversityAbstract Background RNA editing is recognized as a crucial factor in cancer biology. Its potential application in predicting the prognosis of colon adenocarcinoma (COAD) remains unexplored. Methods RNA editing data of COAD patients were downloaded from the Synapse database. LASSO regression was used to construct the risk model and verified by the receiver operating characteristic (ROC) curve. GO and KEGG enrichment analyses were performed to delineate the biological significance of the differentially expressed genes. Finally, differential analysis and immunohistochemistry were used to verify the expression of adenosine deaminase 1 (ADAR1). Results We evaluated a total of 4079 RNA editing sites in 514 COAD patients from Synapse database. A prognostic signature was constructed based on five genes were significantly associated with the prognosis of COAD patients including GNL3L, NUP43, MAGT1, EMP2, and ARSD. Univariate and multivariate Cox regression analysis revealed that RNA editing-related genes (RERGs)-related signature was an independent risk factor for COAD. Moreover, Experimental evidence shows that ADAR1 is highly expressed in colon adenocarcinoma and silencing ADAR1 can inhibit cancer cell proliferation. Conclusion We established a prognostic model based on five RERGs with strong predictive value. This model not only serves as a foundation for a novel prognostic tool but also facilitates the identification of potential drug candidates for treating COAD.https://doi.org/10.1186/s40001-025-02335-7Colon adenocarcinomaRNA editingPrognostic modelADAR1 |
| spellingShingle | Zhengcong Deng Xueqin Jin Bingxue Liu Hongyan Zhen Xiang Wang Unveiling the prognostic significance of RNA editing-related genes in colon cancer: evidence from bioinformatics and experiment European Journal of Medical Research Colon adenocarcinoma RNA editing Prognostic model ADAR1 |
| title | Unveiling the prognostic significance of RNA editing-related genes in colon cancer: evidence from bioinformatics and experiment |
| title_full | Unveiling the prognostic significance of RNA editing-related genes in colon cancer: evidence from bioinformatics and experiment |
| title_fullStr | Unveiling the prognostic significance of RNA editing-related genes in colon cancer: evidence from bioinformatics and experiment |
| title_full_unstemmed | Unveiling the prognostic significance of RNA editing-related genes in colon cancer: evidence from bioinformatics and experiment |
| title_short | Unveiling the prognostic significance of RNA editing-related genes in colon cancer: evidence from bioinformatics and experiment |
| title_sort | unveiling the prognostic significance of rna editing related genes in colon cancer evidence from bioinformatics and experiment |
| topic | Colon adenocarcinoma RNA editing Prognostic model ADAR1 |
| url | https://doi.org/10.1186/s40001-025-02335-7 |
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