Identification of immunotherapy-related lncRNA signature for predicting prognosis, immunotherapy responses and drug candidates in bladder cancer
Abstract Background Bladder cancer (BC) is one of the most common malignant diseases and the most common causes of cancer death worldwide. Immunotherapy has opened new avenues for precision treatment of bladder tumours, and immune checkpoint inhibitors (ICIs) have revolutionized the clinical treatme...
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| Format: | Article |
| Language: | English |
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BMC
2023-04-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-023-10828-z |
| _version_ | 1797840998127108096 |
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| author | Pengyu Hui Feng Ni Liang Zheng Lei Jia Zhe Wang |
| author_facet | Pengyu Hui Feng Ni Liang Zheng Lei Jia Zhe Wang |
| author_sort | Pengyu Hui |
| collection | DOAJ |
| description | Abstract Background Bladder cancer (BC) is one of the most common malignant diseases and the most common causes of cancer death worldwide. Immunotherapy has opened new avenues for precision treatment of bladder tumours, and immune checkpoint inhibitors (ICIs) have revolutionized the clinical treatment strategy of bladder tumours. In addition, long non-coding RNA (lncRNA) plays an important role in regulating tumour development and immunotherapy efficacy. Methods We obtained genes with significant differences between anti-PD-L1 response and non-response from the Imvogor210 data set and combined with the bladder cancer expression data in the TCGA cohort to obtain immunotherapy-related lncRNA. Based on these lncRNAs, the prognostic risk model of bladder cancer was constructed and verified by GEO external data set. The characterization of immune cell infiltration and immunotherapy effects between high-risk and low-risk groups were then analysed. We predicted the ceRNA network and performed molecular docking of key target proteins. The functional experiments verified the function of SBF2-AS1. Results Three immunotherapy-related lncRNAs were identified as independent prognostic biomarkers for bladder cancer and a prognostic model of immunotherapy-related prognosis was constructed. Prognosis, immune cell infiltration, and immunotherapy efficacy were significantly different between high- and low-risk groups based on risk scores. Additionally, we established a ceRNA network of lncRNA(SBF2-AS1)-miRNA(has-miR-582-5p)-mRNA (HNRNPA2B1). Targeting the protein HNRNPA2B1 identified the top eight small molecule drugs with the highest affinity. Conclusion We developed a prognostic risk score model based on immune-therapy-related lncRNA, which was subsequently determined to be significantly associated with immune cell infiltration and immunotherapy response. This study not only helps to promote our understanding of immunotherapy-related lncRNA in the prognosis of BC, but also provides new ideas for clinical immunotherapy and the development of novel therapeutic drugs for patients. |
| first_indexed | 2024-04-09T16:23:47Z |
| format | Article |
| id | doaj.art-44c0479f82b4487f92905bd4ffa54e67 |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-04-09T16:23:47Z |
| publishDate | 2023-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-44c0479f82b4487f92905bd4ffa54e672023-04-23T11:20:14ZengBMCBMC Cancer1471-24072023-04-0123111510.1186/s12885-023-10828-zIdentification of immunotherapy-related lncRNA signature for predicting prognosis, immunotherapy responses and drug candidates in bladder cancerPengyu Hui0Feng Ni1Liang Zheng2Lei Jia3Zhe Wang4Department of Urology, The Second Affiliated Hospital of Xi’an Medical UniversityDepartment of Urology, The Second Affiliated Hospital of Xi’an Medical UniversityDepartment of Urology, The Second Affiliated Hospital of Xi’an Medical UniversityDepartment of Urology, The Second Affiliated Hospital of Xi’an Medical UniversityDepartment of Urology, Cancer Hospital of China Medical UniversityAbstract Background Bladder cancer (BC) is one of the most common malignant diseases and the most common causes of cancer death worldwide. Immunotherapy has opened new avenues for precision treatment of bladder tumours, and immune checkpoint inhibitors (ICIs) have revolutionized the clinical treatment strategy of bladder tumours. In addition, long non-coding RNA (lncRNA) plays an important role in regulating tumour development and immunotherapy efficacy. Methods We obtained genes with significant differences between anti-PD-L1 response and non-response from the Imvogor210 data set and combined with the bladder cancer expression data in the TCGA cohort to obtain immunotherapy-related lncRNA. Based on these lncRNAs, the prognostic risk model of bladder cancer was constructed and verified by GEO external data set. The characterization of immune cell infiltration and immunotherapy effects between high-risk and low-risk groups were then analysed. We predicted the ceRNA network and performed molecular docking of key target proteins. The functional experiments verified the function of SBF2-AS1. Results Three immunotherapy-related lncRNAs were identified as independent prognostic biomarkers for bladder cancer and a prognostic model of immunotherapy-related prognosis was constructed. Prognosis, immune cell infiltration, and immunotherapy efficacy were significantly different between high- and low-risk groups based on risk scores. Additionally, we established a ceRNA network of lncRNA(SBF2-AS1)-miRNA(has-miR-582-5p)-mRNA (HNRNPA2B1). Targeting the protein HNRNPA2B1 identified the top eight small molecule drugs with the highest affinity. Conclusion We developed a prognostic risk score model based on immune-therapy-related lncRNA, which was subsequently determined to be significantly associated with immune cell infiltration and immunotherapy response. This study not only helps to promote our understanding of immunotherapy-related lncRNA in the prognosis of BC, but also provides new ideas for clinical immunotherapy and the development of novel therapeutic drugs for patients.https://doi.org/10.1186/s12885-023-10828-zBladder cancerImmunotherapyLong non-coding RNAPrognosticceRNA networkMolecular docking |
| spellingShingle | Pengyu Hui Feng Ni Liang Zheng Lei Jia Zhe Wang Identification of immunotherapy-related lncRNA signature for predicting prognosis, immunotherapy responses and drug candidates in bladder cancer BMC Cancer Bladder cancer Immunotherapy Long non-coding RNA Prognostic ceRNA network Molecular docking |
| title | Identification of immunotherapy-related lncRNA signature for predicting prognosis, immunotherapy responses and drug candidates in bladder cancer |
| title_full | Identification of immunotherapy-related lncRNA signature for predicting prognosis, immunotherapy responses and drug candidates in bladder cancer |
| title_fullStr | Identification of immunotherapy-related lncRNA signature for predicting prognosis, immunotherapy responses and drug candidates in bladder cancer |
| title_full_unstemmed | Identification of immunotherapy-related lncRNA signature for predicting prognosis, immunotherapy responses and drug candidates in bladder cancer |
| title_short | Identification of immunotherapy-related lncRNA signature for predicting prognosis, immunotherapy responses and drug candidates in bladder cancer |
| title_sort | identification of immunotherapy related lncrna signature for predicting prognosis immunotherapy responses and drug candidates in bladder cancer |
| topic | Bladder cancer Immunotherapy Long non-coding RNA Prognostic ceRNA network Molecular docking |
| url | https://doi.org/10.1186/s12885-023-10828-z |
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