Lipid metabolism subtypes reflects the prognosis and immune profiles of bladder cancer patients by NMF clustering and building related signature
Abstract Background Lipid metabolism is crucial in tumor formation and progression. However, the role of lipid metabolism genes (LMGs) in bladder cancer (BLCA) are unknown. The purpose of this study was to construct a LMGs-related subtypes that predicted the treatment and prognosis of BLCA patients....
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| Format: | Article |
| Language: | English |
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Springer
2024-12-01
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| Series: | Discover Oncology |
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| Online Access: | https://doi.org/10.1007/s12672-024-01631-8 |
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| author | Zhongbao Zhou Yumeng Chai Yulong Li Yong Zhang Tao Wang |
| author_facet | Zhongbao Zhou Yumeng Chai Yulong Li Yong Zhang Tao Wang |
| author_sort | Zhongbao Zhou |
| collection | DOAJ |
| description | Abstract Background Lipid metabolism is crucial in tumor formation and progression. However, the role of lipid metabolism genes (LMGs) in bladder cancer (BLCA) are unknown. The purpose of this study was to construct a LMGs-related subtypes that predicted the treatment and prognosis of BLCA patients. Methods The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used for this study. The gene set enrichment analysis (GSEA) was utilized to distinguish functional differences between high-risk (HR) and low-risk (LR) groups. Single-sample GSEA (ssGSEA) was employed to determine potential associations between prognostic outcomes and immune status. Results First, BLCA patients were divided into two subtypes by non-negative matrix factorization (NMF) clustering, and there were substantial variations in survival status, immune cell infiltration and immune classification between the two subtypes. Next, a prognostic signature involving 8 LMGs was identified (AKR1B1, SCD, CYP27B1, UGCG, SGPL1, FASN, TNFAIP8L3, PLA2G2A). HR patients exhibited worse outcome than LR patients. Multivariate Cox regression analysis confirmed that LMGs-related signature was an independent prognostic indicator of BLCA patients’ survival. Compared with clinicopathological variables, LMGs-related signature showed higher prognostic predictive ability, with an area under curve of 0.720 at 5 years of follow-up. Through immunotherapy analysis, drug sensitivity analysis, TIDE score and immune cell infiltration characteristics, LMGs-related signature was confirmed to accurately predict the prognosis and treatment response of BLCA patients. Conclusion Our newly established prognostic signature, which involved eight LMGs, can give prognostic distinction for BLCA and may eventually lead to novel targets for treatment. |
| format | Article |
| id | doaj-art-a51c2568107c4d7ebc92dbd9307713e5 |
| institution | OA Journals |
| issn | 2730-6011 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-a51c2568107c4d7ebc92dbd9307713e52025-08-20T02:31:54ZengSpringerDiscover Oncology2730-60112024-12-0115111610.1007/s12672-024-01631-8Lipid metabolism subtypes reflects the prognosis and immune profiles of bladder cancer patients by NMF clustering and building related signatureZhongbao Zhou0Yumeng Chai1Yulong Li2Yong Zhang3Tao Wang4Department of Urology, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Urology, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Urology, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Urology, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Urology, Beijing Tiantan Hospital, Capital Medical UniversityAbstract Background Lipid metabolism is crucial in tumor formation and progression. However, the role of lipid metabolism genes (LMGs) in bladder cancer (BLCA) are unknown. The purpose of this study was to construct a LMGs-related subtypes that predicted the treatment and prognosis of BLCA patients. Methods The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used for this study. The gene set enrichment analysis (GSEA) was utilized to distinguish functional differences between high-risk (HR) and low-risk (LR) groups. Single-sample GSEA (ssGSEA) was employed to determine potential associations between prognostic outcomes and immune status. Results First, BLCA patients were divided into two subtypes by non-negative matrix factorization (NMF) clustering, and there were substantial variations in survival status, immune cell infiltration and immune classification between the two subtypes. Next, a prognostic signature involving 8 LMGs was identified (AKR1B1, SCD, CYP27B1, UGCG, SGPL1, FASN, TNFAIP8L3, PLA2G2A). HR patients exhibited worse outcome than LR patients. Multivariate Cox regression analysis confirmed that LMGs-related signature was an independent prognostic indicator of BLCA patients’ survival. Compared with clinicopathological variables, LMGs-related signature showed higher prognostic predictive ability, with an area under curve of 0.720 at 5 years of follow-up. Through immunotherapy analysis, drug sensitivity analysis, TIDE score and immune cell infiltration characteristics, LMGs-related signature was confirmed to accurately predict the prognosis and treatment response of BLCA patients. Conclusion Our newly established prognostic signature, which involved eight LMGs, can give prognostic distinction for BLCA and may eventually lead to novel targets for treatment.https://doi.org/10.1007/s12672-024-01631-8Lipid metabolismBladder cancerNMF clusteringImmunotherapy responsePrognosisSignature |
| spellingShingle | Zhongbao Zhou Yumeng Chai Yulong Li Yong Zhang Tao Wang Lipid metabolism subtypes reflects the prognosis and immune profiles of bladder cancer patients by NMF clustering and building related signature Discover Oncology Lipid metabolism Bladder cancer NMF clustering Immunotherapy response Prognosis Signature |
| title | Lipid metabolism subtypes reflects the prognosis and immune profiles of bladder cancer patients by NMF clustering and building related signature |
| title_full | Lipid metabolism subtypes reflects the prognosis and immune profiles of bladder cancer patients by NMF clustering and building related signature |
| title_fullStr | Lipid metabolism subtypes reflects the prognosis and immune profiles of bladder cancer patients by NMF clustering and building related signature |
| title_full_unstemmed | Lipid metabolism subtypes reflects the prognosis and immune profiles of bladder cancer patients by NMF clustering and building related signature |
| title_short | Lipid metabolism subtypes reflects the prognosis and immune profiles of bladder cancer patients by NMF clustering and building related signature |
| title_sort | lipid metabolism subtypes reflects the prognosis and immune profiles of bladder cancer patients by nmf clustering and building related signature |
| topic | Lipid metabolism Bladder cancer NMF clustering Immunotherapy response Prognosis Signature |
| url | https://doi.org/10.1007/s12672-024-01631-8 |
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