Moreover, ITGA11 was chosen to validate its oncogenic role in stomach adenocarcinoma (STAD). We constructed landscapes of expression, genomic and epigenetic alterations, as well as the clinical relevance of these genes in multiple cancer types using multi-omics data. In this scenario, Pan-cancer analysis of ITGs was performed based on The Cancer Genome Atlas (TCGA) across 20 cancer types. Although several studies reported the roles of ITGs in single cancer type ( 12– 14), a comprehensive characterization of ITGs across human cancers has not yet been explored. It was reported that some ITGs were associated with epigenetic alteration and played important roles in tumor progression or cancer therapy ( 7– 11).
#Macdown integring figure series
Integrin subunit genes (ITGs) contains a series of alpha (ITGA1, ITGA10, ITGA11, ITGA2, ITGA2B, ITGA3, ITGA4, ITGA5, ITGA6, ITGA7, ITGA8, ITGA9, ITGAD, ITGAE, ITGAL, ITGAM, ITGAV and ITGAX) and beta (ITGB1, ITGB1BP1, ITGB1BP2, ITGB2, ITGB3, ITGB3BP, ITGB4, ITGB5, ITGB6, ITGB7, ITGB8 and ITGBL1) genes. The alterations of integrin expression patterns have been observed in malignant tumors ( 6).
Integrins, a unique class of signaling molecules, implicated in cancer progression via other signaling molecules, mechanotransducers, and key components of the cell migration machinery, etc.
Hence, Pan-cancer analysis demonstrates new and unique insights in cancer researches. Besides, another Pan-cancer analysis explored the role of ATG5 in tumor metabolism and tumor immunity ( 5). We previously established a landscape of rRNA metabolism-related genes across human cancers and explored their roles in tumorigenesis ( 4). For instance, recently Pan-cancer analysis characterized the dual functions of heat shock proteins, which aid the development of heat shock protein inhibitors in human cancers ( 3). In the last decade, Pan-cancer analysis was used in cancer studies to obtain a comprehensive and in-depth characterization of specific functions, genes or biological processes, etc. Together, this study highlights the important roles of ITGs in tumorigenesis as potential prognostic biomarkers, and provide an effective resource that identifies cancer-related genes of ITGs in human cancers.Ĭancer risk is considered a leading cause of death and an important challenge to increase life expectancy in the global world, with 19.3 million new cases and 10 million cancer deaths in 2020 ( 1). Functionally, ITGA11 knockdown inhibits malignant phenotypes in STAD cell lines AGS and MKN45, demonstrating the oncogenic role of ITGA11 in STAD. Finally, ITGA11 is overexpressed and associated with poor survival in STAD cases from the TCGA and additionally Gene Expression Omnibus cohorts. The models based on dysregulated ITGs with clinical relevance and TNM staging indexes are good indicators in STAD and head and neck squamous cell carcinoma. Furthermore, dysregulated prognosis-related ITGs were systematically identified in each cancer type, including ITGA11 in stomach adenocarcinoma (STAD). We observed that ITGs are extensively dysregulated with heterogeneity in different system cancer types, part of which are driven by CNV, DNA hypomethylation or mutation.
Landscapes of ITGs were established across 20 human cancer types. Hence, we performed comprehensive analyses to investigate mRNA expression, copy number variation (CNV), DNA methylation, mutation, and clinical landscapes of ITGs in more than 8000 cancer patients from The Cancer Genome Atlas (TCGA) dataset.
0 kommentar(er)
