{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Chen L"],"funding":["Wuxi Double-Hundred Talent Fund Project","Jiangsu Provincial Maternal and Child Health Research Project","Wuxi Municipal Bureau on Science and Technology"],"pagination":["3"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8728907"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["22(1)"],"pubmed_abstract":["<h4>Background</h4>It has been revealed that B7H4 is negatively correlated with PDL1 and identifies immuno-cold tumors in glioma. However, the application of the B7H4-PDL1 classifier in cancers has not been well testified.<h4>Methods</h4>A pan-cancer analysis was conducted to evaluate the immunological role of B7H4 using the RNA-sequencing data downloaded from the Cancer Genome Atlas (TCGA). Immunohistochemistry (IHC) and multiplexed quantitative immunofluorescence (QIF) were performed to validate the primary results revealed by bioinformatics analysis.<h4>Results</h4>The pan-cancer analysis revealed that B7H4 was negatively correlated with PDL1 expression and immune cell infiltration in CeCa. In addition, patients with high B7H4 exhibited the shortest overall survival (OS) and relapse-fre"],"journal":["Cancer cell international"],"pubmed_title":["The B7H4-PDL1 classifier stratifies immuno-phenotype in cervical cancer."],"pmcid":["PMC8728907"],"funding_grant_id":["F202034","N20201006","BJ2020076"],"pubmed_authors":["Li Z","Zhang Y","Chen L","Dong J","Chen Y"],"additional_accession":[]},"is_claimable":false,"name":"The B7H4-PDL1 classifier stratifies immuno-phenotype in cervical cancer.","description":"<h4>Background</h4>It has been revealed that B7H4 is negatively correlated with PDL1 and identifies immuno-cold tumors in glioma. However, the application of the B7H4-PDL1 classifier in cancers has not been well testified.<h4>Methods</h4>A pan-cancer analysis was conducted to evaluate the immunological role of B7H4 using the RNA-sequencing data downloaded from the Cancer Genome Atlas (TCGA). Immunohistochemistry (IHC) and multiplexed quantitative immunofluorescence (QIF) were performed to validate the primary results revealed by bioinformatics analysis.<h4>Results</h4>The pan-cancer analysis revealed that B7H4 was negatively correlated with PDL1 expression and immune cell infiltration in CeCa. In addition, patients with high B7H4 exhibited the shortest overall survival (OS) and relapse-fre","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jan","modification":"2025-04-04T07:59:58.852Z","creation":"2022-02-11T14:59:08.041Z"},"accession":"S-EPMC8728907","cross_references":{"pubmed":["34983532"],"doi":["10.1186/s12935-021-02423-8"]}}