A prognostic and immunological analysis of 7B-containing Kelch structural domain (KLHDC7B) in pan-cancer: a potential target for immunotherapy and survival

Abstract

KLHDC7B is a member of Kelch family, with a Kelch domain in the C-terminal half, which plays a role in various cellular events, such as cytoskeletal arrangement, protein degradation, gene expression. Despite increasing evidence supporting KLHDC7B's vital role in tumorigenesis, a systematic analysis of KLHDC7B in cancers is lacking. Therefore, we intended to investigate the prognostic value for KLHDC7B across 33 cancer types and explore its potential immunological function. MethodsGEO and TCGA databases were used to explore the role of KLHDC7B in 33 cancers. TIMER2, GEPIA2 and Kaplan-Meier plotter were utilized to explore the KLHDC7B expression level and prognostic value in different cancers. The pan cancer genetic variation and DNA methylation of KLHDC7B were analyzed by cBioPortal and MEXPRESS.TIMER2 was employed to investigate the correlation between KLHDC7B expression and immune in ltration. The relationship of KLHDC7B expression with TMB (tumor mutational burden) and MSI (microsatellite instability) were evaluated using Spearman correlation analysis. Finally, by GO and KEGG enrichment analysis, the underlying mechanisms of KLHDC7B in tumor pathophysiology were further investigated. ResultsKLHDC7B expression level was related to pathological stage, MSI, TMB, and immune cell in ltration in most cancers.Additionally, survival analysis showed that the expression of KLHDC7B was connected with overall survival (OS) in 3 cancers and disease-free survival (DFS) in ve cancers. Furthermore, the enrichment analysis revealed that the KLHDC7B collecting genes and binding proteins are related to the function of proteins and immune response of cells. ConclusionKLHDC7B demonstrate strong clinical utility as markers of prognostic and immune response in pan-cancer.exceptionally valuable to go deeper investigating the molecular mechanisms and regulatory functions of KLHDC7B in the pan-cancer dataset so that new directions and strategies can be established for the treatment of cancer in the clinic. Considering the possible connections between genes and cancers, to understand what genetic factors in uence pan cancer incidence and prognosis, as well as underlying molecular mechanisms, it is essential to study genes of interest. A pan-cancer analysis can be performed using The Cancer Genome Atlas (TCGA) project and the Gene Expression Omnibus (GEO)database, where different types of cancer are represented in these functional genomic datasets.We observed the evidence for experimentally determined correlations between KLHDC7B and different cancer types or stages in this article. Here, using the TCGA project and the GEO database, a pan-cancer study of KLHDC7B was conducted for the rst time. We also investigated the probable KLHDC7B-correlated pathways in the clinical outcomes or pathogenesis in a variety of cancers, including related biological processes, immune in ltration, DNA methylation, genetic change, survival conditions, and expression difference. Our goal is to recognize potential pathways that could lead to identify how KLHDC7...