A comprehensive risk model of disulfidoptosis-related lncRNAs predicts prognosis and therapeutic implications in bladder cancer
Background: Disulfidoptosis is an emerging form of regulated cell death; however, the roles of its associated long non-coding RNAs (dr-lncRNAs) in bladder cancer (BLCA) remain poorly characterized. By leveraging the most comprehensive curated dataset of disulfidoptosis-related genes to date, we syst...
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Elsevier
2025-06-01
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| Series: | Biochemistry and Biophysics Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405580825001475 |
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| author | Zhixiong Zhang Jinghua Zhong Muhammad Sarfaraz Iqbal Zhiwen Zeng Xiaolu Duan |
| author_facet | Zhixiong Zhang Jinghua Zhong Muhammad Sarfaraz Iqbal Zhiwen Zeng Xiaolu Duan |
| author_sort | Zhixiong Zhang |
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| description | Background: Disulfidoptosis is an emerging form of regulated cell death; however, the roles of its associated long non-coding RNAs (dr-lncRNAs) in bladder cancer (BLCA) remain poorly characterized. By leveraging the most comprehensive curated dataset of disulfidoptosis-related genes to date, we systematically developed and validated a novel dr-lncRNA signature that elucidates the prognostic significance and immune microenvironmental dynamics in BLCA. Methods: The Cancer Genome Atlas (TCGA) database was utilized to extract significant clinical and RNA sequencing data of BLCA patients. Cox and Lasso regression with several variables was used to create a risk model. ROC, Kaplan-Meier, and nomogram analyses were carefully reviewed for validity. The validated study evaluated intricate interactions between functional enrichment, immune cell infiltration, cancer mutation load, and treatment sensitivity. Unsupervised consensus clustering identified subgroup patterns that reflected immune system alterations, medication susceptibility, and prognosis. Results: Nine lncRNAs significantly correlated with prognosis were collectively identified, subsequently forming the basis for constructing a risk model consisting of seven lncRNAs. The model exhibited significant superiority in predicting patient outcomes, effectively distinguishing between high-risk from low-risk individuals. Functional enrichment analysis uncovered their potential involvement in immune-related biological pathways. Patients in the high-risk group exhibited higher tumor mutation burdens, more active immune functions and a higher sensitivity to chemotherapeutic drugs. Variations among BLCA subgroups were identified by consensus cluster analysis, including clinical characteristics, prognosis, lncRNA expression, immune cell infiltration, and immune checkpoint profiles. Conclusion: The dr-lncRNAs-based risk model presents a promising tool for predicting prognosis and guiding personalized immunotherapy and treatment strategies in BLCA patients. |
| format | Article |
| id | doaj-art-0b80e3679378442e97cbd2646d19a28c |
| institution | OA Journals |
| issn | 2405-5808 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
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| series | Biochemistry and Biophysics Reports |
| spelling | doaj-art-0b80e3679378442e97cbd2646d19a28c2025-08-20T01:59:13ZengElsevierBiochemistry and Biophysics Reports2405-58082025-06-014210206010.1016/j.bbrep.2025.102060A comprehensive risk model of disulfidoptosis-related lncRNAs predicts prognosis and therapeutic implications in bladder cancerZhixiong Zhang0Jinghua Zhong1Muhammad Sarfaraz Iqbal2Zhiwen Zeng3Xiaolu Duan4Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Provincial Key Laboratory of Urology, Guangdong Engineering Research Center of Urinary Minimally Invasive Surgery Robot and Intelligent Equipment, Guangzhou Institute of Urology, ChinaDepartment of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Provincial Key Laboratory of Urology, Guangdong Engineering Research Center of Urinary Minimally Invasive Surgery Robot and Intelligent Equipment, Guangzhou Institute of Urology, ChinaDepartment of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Provincial Key Laboratory of Urology, Guangdong Engineering Research Center of Urinary Minimally Invasive Surgery Robot and Intelligent Equipment, Guangzhou Institute of Urology, ChinaDepartment for Bipolar Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, 518020, China; Corresponding author. No. 1080 Cuizhu Road, Luohu District, Shenzhen, Guangdong 518020, China.Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Provincial Key Laboratory of Urology, Guangdong Engineering Research Center of Urinary Minimally Invasive Surgery Robot and Intelligent Equipment, Guangzhou Institute of Urology, China; Corresponding author. Kangda Road 1#, Haizhu District, Guangzhou, Guangdong, 510230, China.Background: Disulfidoptosis is an emerging form of regulated cell death; however, the roles of its associated long non-coding RNAs (dr-lncRNAs) in bladder cancer (BLCA) remain poorly characterized. By leveraging the most comprehensive curated dataset of disulfidoptosis-related genes to date, we systematically developed and validated a novel dr-lncRNA signature that elucidates the prognostic significance and immune microenvironmental dynamics in BLCA. Methods: The Cancer Genome Atlas (TCGA) database was utilized to extract significant clinical and RNA sequencing data of BLCA patients. Cox and Lasso regression with several variables was used to create a risk model. ROC, Kaplan-Meier, and nomogram analyses were carefully reviewed for validity. The validated study evaluated intricate interactions between functional enrichment, immune cell infiltration, cancer mutation load, and treatment sensitivity. Unsupervised consensus clustering identified subgroup patterns that reflected immune system alterations, medication susceptibility, and prognosis. Results: Nine lncRNAs significantly correlated with prognosis were collectively identified, subsequently forming the basis for constructing a risk model consisting of seven lncRNAs. The model exhibited significant superiority in predicting patient outcomes, effectively distinguishing between high-risk from low-risk individuals. Functional enrichment analysis uncovered their potential involvement in immune-related biological pathways. Patients in the high-risk group exhibited higher tumor mutation burdens, more active immune functions and a higher sensitivity to chemotherapeutic drugs. Variations among BLCA subgroups were identified by consensus cluster analysis, including clinical characteristics, prognosis, lncRNA expression, immune cell infiltration, and immune checkpoint profiles. Conclusion: The dr-lncRNAs-based risk model presents a promising tool for predicting prognosis and guiding personalized immunotherapy and treatment strategies in BLCA patients.http://www.sciencedirect.com/science/article/pii/S2405580825001475Bladder cancerDisulfidoptosisLong non-coding RNAPrognostic modelPersonalized treatment |
| spellingShingle | Zhixiong Zhang Jinghua Zhong Muhammad Sarfaraz Iqbal Zhiwen Zeng Xiaolu Duan A comprehensive risk model of disulfidoptosis-related lncRNAs predicts prognosis and therapeutic implications in bladder cancer Biochemistry and Biophysics Reports Bladder cancer Disulfidoptosis Long non-coding RNA Prognostic model Personalized treatment |
| title | A comprehensive risk model of disulfidoptosis-related lncRNAs predicts prognosis and therapeutic implications in bladder cancer |
| title_full | A comprehensive risk model of disulfidoptosis-related lncRNAs predicts prognosis and therapeutic implications in bladder cancer |
| title_fullStr | A comprehensive risk model of disulfidoptosis-related lncRNAs predicts prognosis and therapeutic implications in bladder cancer |
| title_full_unstemmed | A comprehensive risk model of disulfidoptosis-related lncRNAs predicts prognosis and therapeutic implications in bladder cancer |
| title_short | A comprehensive risk model of disulfidoptosis-related lncRNAs predicts prognosis and therapeutic implications in bladder cancer |
| title_sort | comprehensive risk model of disulfidoptosis related lncrnas predicts prognosis and therapeutic implications in bladder cancer |
| topic | Bladder cancer Disulfidoptosis Long non-coding RNA Prognostic model Personalized treatment |
| url | http://www.sciencedirect.com/science/article/pii/S2405580825001475 |
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