<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>10</volume><submitter>Quan J</submitter><pubmed_abstract>&lt;b>Background:&lt;/b> Renal cell carcinoma (RCC) is one of the most common cancers, with an annual incidence of nearly 400,000 cases worldwide. Increasing evidence has also demonstrated the vital role of neutrophil extracellular traps (NETs) in cancer progression and metastatic dissemination. &lt;b>Methods:&lt;/b> Consensus cluster analysis was performed to determine the number of ccRCC subtypes. The Kruskal-Wallis test or Student t-test was performed to evaluate the difference of infiltrating immune cell and gene expression in different groups. The Kaplan-Meier (KM) method was used to draw the survival curve. LASSO cox regression analysis was conducted to construct a NET-related prognostic signature. We also constructed a lncRNA-miRNA-mRNA regulatory axis by several miRNA and lncRNA target databas</pubmed_abstract><journal>Frontiers in cell and developmental biology</journal><pagination>1021690</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9745193</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Identification and validation of the molecular subtype and prognostic signature for clear cell renal cell carcinoma based on neutrophil extracellular traps.</pubmed_title><pmcid>PMC9745193</pmcid><pubmed_authors>Quan J</pubmed_authors><pubmed_authors>Huang B</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identification and validation of the molecular subtype and prognostic signature for clear cell renal cell carcinoma based on neutrophil extracellular traps.</name><description>&lt;b>Background:&lt;/b> Renal cell carcinoma (RCC) is one of the most common cancers, with an annual incidence of nearly 400,000 cases worldwide. Increasing evidence has also demonstrated the vital role of neutrophil extracellular traps (NETs) in cancer progression and metastatic dissemination. &lt;b>Methods:&lt;/b> Consensus cluster analysis was performed to determine the number of ccRCC subtypes. The Kruskal-Wallis test or Student t-test was performed to evaluate the difference of infiltrating immune cell and gene expression in different groups. The Kaplan-Meier (KM) method was used to draw the survival curve. LASSO cox regression analysis was conducted to construct a NET-related prognostic signature. We also constructed a lncRNA-miRNA-mRNA regulatory axis by several miRNA and lncRNA target databas</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2025-04-18T16:31:24.032Z</modification><creation>2025-04-07T03:47:05.21Z</creation></dates><accession>S-EPMC9745193</accession><cross_references><pubmed>36523511</pubmed><doi>10.3389/fcell.2022.1021690</doi></cross_references></HashMap>