{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13"],"submitter":["Ren H"],"pubmed_abstract":["<b>Background:</b> Hepatocellular carcinoma (HCC) is a common type of primary liver cancer and has a poor prognosis. In recent times, necroptosis has been reported to be involved in the progression of multiple cancers. However, the role of necroptosis in HCC prognosis remains elusive. <b>Methods:</b> The RNA-seq data and clinical information of HCC patients were downloaded from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. Differentially expressed genes (DEGs) and prognosis-related genes were explored, and the nonnegative matrix factorization (NMF) clustering algorithm was applied to divide HCC patients into different subtypes. Based on the prognosis-related DEGs, univariate Cox and LASSO Cox regression analyses were used to construct a necropt"],"journal":["Frontiers in genetics"],"pagination":["900713"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9357940"],"repository":["biostudies-literature"],"pubmed_title":["Establishment of a Necroptosis-Related Prognostic Signature to Reveal Immune Infiltration and Predict Drug Sensitivity in Hepatocellular Carcinoma."],"pmcid":["PMC9357940"],"pubmed_authors":["Ren H","Yang X","Zheng J","Fu Q","Cheng Q"],"additional_accession":[]},"is_claimable":false,"name":"Establishment of a Necroptosis-Related Prognostic Signature to Reveal Immune Infiltration and Predict Drug Sensitivity in Hepatocellular Carcinoma.","description":"<b>Background:</b> Hepatocellular carcinoma (HCC) is a common type of primary liver cancer and has a poor prognosis. In recent times, necroptosis has been reported to be involved in the progression of multiple cancers. However, the role of necroptosis in HCC prognosis remains elusive. <b>Methods:</b> The RNA-seq data and clinical information of HCC patients were downloaded from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. Differentially expressed genes (DEGs) and prognosis-related genes were explored, and the nonnegative matrix factorization (NMF) clustering algorithm was applied to divide HCC patients into different subtypes. Based on the prognosis-related DEGs, univariate Cox and LASSO Cox regression analyses were used to construct a necropt","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-05T08:56:18.172Z","creation":"2025-04-05T08:56:18.172Z"},"accession":"S-EPMC9357940","cross_references":{"pubmed":["35957699"],"doi":["10.3389/fgene.2022.900713"]}}