Evidence map›Paper›PMID 39630308›Full record

ArticleDiscover oncology2024

Identification and construction of prognostic clusters and risk-prognosis model based on aging-immune related genes in bladder cancer.

Nihao Cao, Fei Cheng, Jincai Zhou, Ning Liu

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Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Nihao Cao *Department of Urology, Nantong Haimen People's Hospital, Nantong, 226100, China.
Fei Cheng *Department of Urology, Nantong Haimen People's Hospital, Nantong, 226100, China.
Jincai ZhouDepartment of Urology, Jianhu People's Hospital, Jianhu County, No. 666 South Ring Road, Yancheng, 224700, China. 13651591579@163.com.
Ning LiuDepartment of Urology, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Hunan Road, Gulou District, Nanjing, 210009, China. liuningseu@163.com.

Funding

Nantong Science and Technology Bureau required project JC22022017
6 · The paper itself

Abstract

backgroundFaced with the current global ageing situation, advanced age has become a risk factor for bladder carcinogenesis progression and immunotherapy. Exploring the common mechanisms of aging and immune in bladder cancer and finding new prognostic markers and immunotherapeutic targets has become an urgent issue.

methodAging-immune related genes (AIGs) were collected from the public databases MSIGDB, HAGR and ImmPort, and hub AIGs were finally identified in the TCGA-BLCA disease cohort by expression, prognosis, and clinicopathological correlation analysis, and the correlation of hub AIGs with immune microenvironment, immunotherapeutic response, ferroptosis and m6A methylation was verified. Subsequently, prognostic clusters and risk-prognosis models for AIGs was constructed by cluster analysis and multifactorial Cox regression analysis, and the gene mutation and immune infiltration characteristics of the different clusters were explored. Finally, the expression level of related genes was verified by immunohistochemical experiments using patient samples from our medical center.

result145 potential prognostic AIGs were collected in bladder cancer and finally clarified NFKB1 and IL7 with significant expression differences, prognostic value and age correlation. By single gene analysis, hub AIGs were explored to be significantly correlated with immunotherapeutic response, immune microenvironment, ferroptosis and m6A methylation. Subsequently, the risk-prognosis model was constructed with Riskscore = (0.0581)*NFKB1 + (- 0.2285)*IL7. And prognostic clusters based on hub AIGs was performed by cluster analysis, which clarified that the high-risk group was the pro-cancer group, which had a lower mutation rate of hub genes and higher of neutrophil infiltration. Finally, immunohistochemistry of patients confirmed that IL7 and NFKB1 were underexpressed in bladder cancer, and the proliferation and migration ability of tumor cells were significantly decreased after overexpression of these genes.

conclusionThis study is the first to identify NFKB1 and IL7 as hub AIGs in bladder cancer, which provide new prognostic markers and immunotherapeutic targets.

Indexed as

Aging-immuneBladder cancerImmune microenvironmentNFKB1-IL7Prognostic model

Identifiers

PMID39630308
PMCPMC11618553

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.