N6-Methyladenosine-related alternative splicing events play a role in bladder cancer
This study investigated the role of N6-methyladenosine (m6A) and alternative splicing (AS) in bladder cancer (BLCA). The BLCA-related RNA expression profiles and AS events were downloaded from the UCSC Xena and SpliceSeq databases, respectively. Differentially expressed AS (DEAS) was screened, and p...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2022-10-01
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| Series: | Open Life Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/biol-2022-0479 |
| _version_ | 1828214222422540288 |
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| author | Chang Yuan Yu Shukun Zhang Miao Zhu Xiuyun Jiang Tianshu Liu Yuan |
| author_facet | Chang Yuan Yu Shukun Zhang Miao Zhu Xiuyun Jiang Tianshu Liu Yuan |
| author_sort | Chang Yuan |
| collection | DOAJ |
| description | This study investigated the role of N6-methyladenosine (m6A) and alternative splicing (AS) in bladder cancer (BLCA). The BLCA-related RNA expression profiles and AS events were downloaded from the UCSC Xena and SpliceSeq databases, respectively. Differentially expressed AS (DEAS) was screened, and prognostic-related DEAS events were used to construct prognostic risk models based on Cox proportional hazards regression analysis. Receiver operating characteristic curves and multivariate Cox analysis were used to evaluate the predictive efficiency and independence of these models. We also constructed a protein-to-protein interaction (PPI) network and a regulation network of splicing factors (SFs) and DEAS events. In total, 225 m6A-related prognostic-related DEAS events were identified. The predictive ability of each prognostic model was good, and the alternate terminator model showed the best performance when the area under the curve was 0.793. The risk score of the model was an independent prognostic factor for BLCA. The PPI network revealed that AKT serine/threonine kinase 1, serine- and arginine-rich SF6, and serine- and arginine-rich SF2 had higher-node degrees. A complex regulator correlation was shown in the SF and DEAS networks. This study provides insights for the subsequent understanding of the role of AS events in BLCA. |
| first_indexed | 2024-04-12T15:00:54Z |
| format | Article |
| id | doaj.art-618f1f195fbb4f0e8622b654805b3647 |
| institution | Directory Open Access Journal |
| issn | 2391-5412 |
| language | English |
| last_indexed | 2024-04-12T15:00:54Z |
| publishDate | 2022-10-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Life Sciences |
| spelling | doaj.art-618f1f195fbb4f0e8622b654805b36472022-12-22T03:28:05ZengDe GruyterOpen Life Sciences2391-54122022-10-011711371138210.1515/biol-2022-0479N6-Methyladenosine-related alternative splicing events play a role in bladder cancerChang Yuan0Yu Shukun1Zhang Miao2Zhu Xiuyun3Jiang Tianshu4Liu Yuan5Department of Nursing, Affiliated Hospital of Beihua University, No. 12 Jiefangzhong Road, Chuanying District, Jilin, Jilin Province, 132011, ChinaDepartment of Nursing, Affiliated Hospital of Beihua University, No. 12 Jiefangzhong Road, Chuanying District, Jilin, Jilin Province, 132011, ChinaDepartment of Nursing, College of Nursing, Beihua University, Jilin, 132013, ChinaDepartment of Nursing, College of Nursing, Beihua University, Jilin, 132013, ChinaDepartment of Nursing, College of Nursing, Beihua University, Jilin, 132013, ChinaDepartment of Nursing, College of Nursing, Beihua University, Jilin, 132013, ChinaThis study investigated the role of N6-methyladenosine (m6A) and alternative splicing (AS) in bladder cancer (BLCA). The BLCA-related RNA expression profiles and AS events were downloaded from the UCSC Xena and SpliceSeq databases, respectively. Differentially expressed AS (DEAS) was screened, and prognostic-related DEAS events were used to construct prognostic risk models based on Cox proportional hazards regression analysis. Receiver operating characteristic curves and multivariate Cox analysis were used to evaluate the predictive efficiency and independence of these models. We also constructed a protein-to-protein interaction (PPI) network and a regulation network of splicing factors (SFs) and DEAS events. In total, 225 m6A-related prognostic-related DEAS events were identified. The predictive ability of each prognostic model was good, and the alternate terminator model showed the best performance when the area under the curve was 0.793. The risk score of the model was an independent prognostic factor for BLCA. The PPI network revealed that AKT serine/threonine kinase 1, serine- and arginine-rich SF6, and serine- and arginine-rich SF2 had higher-node degrees. A complex regulator correlation was shown in the SF and DEAS networks. This study provides insights for the subsequent understanding of the role of AS events in BLCA.https://doi.org/10.1515/biol-2022-0479bladder cancern6-methyladenosinealternative splicingenrichment analysissplicing factorindependent prognostic factor |
| spellingShingle | Chang Yuan Yu Shukun Zhang Miao Zhu Xiuyun Jiang Tianshu Liu Yuan N6-Methyladenosine-related alternative splicing events play a role in bladder cancer Open Life Sciences bladder cancer n6-methyladenosine alternative splicing enrichment analysis splicing factor independent prognostic factor |
| title | N6-Methyladenosine-related alternative splicing events play a role in bladder cancer |
| title_full | N6-Methyladenosine-related alternative splicing events play a role in bladder cancer |
| title_fullStr | N6-Methyladenosine-related alternative splicing events play a role in bladder cancer |
| title_full_unstemmed | N6-Methyladenosine-related alternative splicing events play a role in bladder cancer |
| title_short | N6-Methyladenosine-related alternative splicing events play a role in bladder cancer |
| title_sort | n6 methyladenosine related alternative splicing events play a role in bladder cancer |
| topic | bladder cancer n6-methyladenosine alternative splicing enrichment analysis splicing factor independent prognostic factor |
| url | https://doi.org/10.1515/biol-2022-0479 |
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