Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer
Background Despite surgical and intravesical chemotherapy interventions, non-muscle invasive bladder cancer (NMIBC) poses a high risk of recurrence, which significantly impacts patient survival. Traditional clinical characteristics alone are inadequate for accurately assessing the risk of NMIBC recu...
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Taylor & Francis Group
2025-12-01
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| Series: | Annals of Medicine |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/07853890.2025.2458211 |
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| author | Chen Zhang Hubin Yin Tinghao Li Junrui Chen Weiyang He Ke Ren Bo Li Xudong Liu |
| author_facet | Chen Zhang Hubin Yin Tinghao Li Junrui Chen Weiyang He Ke Ren Bo Li Xudong Liu |
| author_sort | Chen Zhang |
| collection | DOAJ |
| description | Background Despite surgical and intravesical chemotherapy interventions, non-muscle invasive bladder cancer (NMIBC) poses a high risk of recurrence, which significantly impacts patient survival. Traditional clinical characteristics alone are inadequate for accurately assessing the risk of NMIBC recurrence, necessitating the development of novel predictive tools.Methods We analyzed microarray data of NMIBC samples obtained from the ArrayExpress and GEO databases. LASSO regression was utilized to develop the predictive signature. We combined gene signature and clinicopathological factors to construct a clinical nomogram for estimating NMIBC recurrence in a local cohort. Finally. the biological functions and potential mechanisms of SDCBP in bladder cancer were investigated experimentally in vitro and in vivo.Results An 8-gene signature was developed, and its efficiency for predicting NMIBC recurrence was evaluated using Kaplan-Meier and time-dependent ROC curves in both training and validation datasets. Immunohistochemical testing revealed elevated levels of ACTN4 and SDCBP in recurrent NMIBC tissues. We integrated the two proteins with clinical factors to develop a nomogram model, which showed superior accuracy compared to individual parameters. Gene Set Variation Analysis and Gene Set Enrichment Analysis unveiled SDCBP exerted cancer-promoting biological processes, such as angiogenesis, EMT, metastasis and proliferation. Experimental procedures demonstrated that silencing SDCBP attenuated cell growth, glucose metabolism and extracellular acidification rate, accompanied by decreased expression of p-AKT, p-ERK1/2, LDHA and Vimentin.Conclusions The established 8-gene signature holds promise as a tool for predicting NMIBC recurrence, while targeting SDCBP may represent a potential strategy for delaying disease relapse. |
| format | Article |
| id | doaj-art-8bfcc18dcd4648c1aa6db9e09bf5f3fb |
| institution | Kabale University |
| issn | 0785-3890 1365-2060 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Annals of Medicine |
| spelling | doaj-art-8bfcc18dcd4648c1aa6db9e09bf5f3fb2025-01-28T13:07:12ZengTaylor & Francis GroupAnnals of Medicine0785-38901365-20602025-12-0157110.1080/07853890.2025.2458211Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancerChen Zhang0Hubin Yin1Tinghao Li2Junrui Chen3Weiyang He4Ke Ren5Bo Li6Xudong Liu7Department of Obstetrics and Gynecology, Women and Children’s Hospital of Chongqing Medical University, ChinaDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaCentral Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaBackground Despite surgical and intravesical chemotherapy interventions, non-muscle invasive bladder cancer (NMIBC) poses a high risk of recurrence, which significantly impacts patient survival. Traditional clinical characteristics alone are inadequate for accurately assessing the risk of NMIBC recurrence, necessitating the development of novel predictive tools.Methods We analyzed microarray data of NMIBC samples obtained from the ArrayExpress and GEO databases. LASSO regression was utilized to develop the predictive signature. We combined gene signature and clinicopathological factors to construct a clinical nomogram for estimating NMIBC recurrence in a local cohort. Finally. the biological functions and potential mechanisms of SDCBP in bladder cancer were investigated experimentally in vitro and in vivo.Results An 8-gene signature was developed, and its efficiency for predicting NMIBC recurrence was evaluated using Kaplan-Meier and time-dependent ROC curves in both training and validation datasets. Immunohistochemical testing revealed elevated levels of ACTN4 and SDCBP in recurrent NMIBC tissues. We integrated the two proteins with clinical factors to develop a nomogram model, which showed superior accuracy compared to individual parameters. Gene Set Variation Analysis and Gene Set Enrichment Analysis unveiled SDCBP exerted cancer-promoting biological processes, such as angiogenesis, EMT, metastasis and proliferation. Experimental procedures demonstrated that silencing SDCBP attenuated cell growth, glucose metabolism and extracellular acidification rate, accompanied by decreased expression of p-AKT, p-ERK1/2, LDHA and Vimentin.Conclusions The established 8-gene signature holds promise as a tool for predicting NMIBC recurrence, while targeting SDCBP may represent a potential strategy for delaying disease relapse.https://www.tandfonline.com/doi/10.1080/07853890.2025.2458211NMIBCrecurrencesignatureSDCBPcell growth |
| spellingShingle | Chen Zhang Hubin Yin Tinghao Li Junrui Chen Weiyang He Ke Ren Bo Li Xudong Liu Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer Annals of Medicine NMIBC recurrence signature SDCBP cell growth |
| title | Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer |
| title_full | Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer |
| title_fullStr | Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer |
| title_full_unstemmed | Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer |
| title_short | Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer |
| title_sort | identification of multicohort based predictive signature for nmibc recurrence reveals sdcbp as a novel oncogene in bladder cancer |
| topic | NMIBC recurrence signature SDCBP cell growth |
| url | https://www.tandfonline.com/doi/10.1080/07853890.2025.2458211 |
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