<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>2023</volume><submitter>Lai W</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Primary liver cancer, dominated by hepatocellular carcinoma (HCC), is one of the most common cancer types and the third leading cause of cancer death in 2020. Previous studies have shown that liquid-liquid phase separation (LLPS) plays an important role in the occurrence and development of cancer including HCC, but its influence on the patient prognosis is still unknown. It is necessary to explore the effect of LLPS genes on prognosis to accurately forecast the prognosis of HCC patients and identify relevant targeted therapeutic sites.&lt;h4>Methods&lt;/h4>Using The Cancer Genome Atlas dataset and PhaSepDB dataset, we identified LLPS genes linked to the overall survival (OS) of HCC patients. We applied Least Absolute Shrinkage and Selection Operator (LASSO) Cox penalized regre</pubmed_abstract><journal>International journal of genomics</journal><pagination>7299276</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9977538</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A Five-LLPS Gene Risk Score Prognostic Signature Predicts Survival in Hepatocellular Carcinoma.</pubmed_title><pmcid>PMC9977538</pmcid><pubmed_authors>Li D</pubmed_authors><pubmed_authors>Lai W</pubmed_authors><pubmed_authors>Yan Y</pubmed_authors><pubmed_authors>Luo S</pubmed_authors><pubmed_authors>Ge Q</pubmed_authors><pubmed_authors>Lu Q</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Five-LLPS Gene Risk Score Prognostic Signature Predicts Survival in Hepatocellular Carcinoma.</name><description>&lt;h4>Background&lt;/h4>Primary liver cancer, dominated by hepatocellular carcinoma (HCC), is one of the most common cancer types and the third leading cause of cancer death in 2020. Previous studies have shown that liquid-liquid phase separation (LLPS) plays an important role in the occurrence and development of cancer including HCC, but its influence on the patient prognosis is still unknown. It is necessary to explore the effect of LLPS genes on prognosis to accurately forecast the prognosis of HCC patients and identify relevant targeted therapeutic sites.&lt;h4>Methods&lt;/h4>Using The Cancer Genome Atlas dataset and PhaSepDB dataset, we identified LLPS genes linked to the overall survival (OS) of HCC patients. We applied Least Absolute Shrinkage and Selection Operator (LASSO) Cox penalized regre</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-04-19T08:38:51.725Z</modification><creation>2025-04-19T08:38:51.725Z</creation></dates><accession>S-EPMC9977538</accession><cross_references><pubmed>36873244</pubmed><doi>10.1155/2023/7299276</doi></cross_references></HashMap>