<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>11</volume><submitter>Shi JY</submitter><pubmed_abstract>Despite extensive research, the exact mechanisms involved in colorectal cancer (CRC) etiology and pathogenesis remain unclear. This study aimed to examine the correlation between tumor-associated alternative splicing (AS) events and tumor immune infiltration (TII) in CRC. We analyzed transcriptome profiling and clinical CRC data from The Cancer Genome Atlas (TCGA) database and lists of AS-related and immune-related signatures from the SpliceSeq and Innate databases, respectively to develop and validate a risk model of differential AS events and subsequently a TII risk model. We then conducted a two-factor survival analysis to study the association between TII and AS risk and evaluated the associations between immune signatures and six types of immune cells based on the TIMER database. Subs</pubmed_abstract><journal>Frontiers in oncology</journal><pagination>583547</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8117221</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Alternative Splicing Events in Tumor Immune Infiltration in Colorectal Cancer.</pubmed_title><pmcid>PMC8117221</pmcid><pubmed_authors>Yu BF</pubmed_authors><pubmed_authors>Wang QF</pubmed_authors><pubmed_authors>Wu DN</pubmed_authors><pubmed_authors>Shi JY</pubmed_authors><pubmed_authors>Teng D</pubmed_authors><pubmed_authors>Bi YY</pubmed_authors></additional><is_claimable>false</is_claimable><name>Alternative Splicing Events in Tumor Immune Infiltration in Colorectal Cancer.</name><description>Despite extensive research, the exact mechanisms involved in colorectal cancer (CRC) etiology and pathogenesis remain unclear. This study aimed to examine the correlation between tumor-associated alternative splicing (AS) events and tumor immune infiltration (TII) in CRC. We analyzed transcriptome profiling and clinical CRC data from The Cancer Genome Atlas (TCGA) database and lists of AS-related and immune-related signatures from the SpliceSeq and Innate databases, respectively to develop and validate a risk model of differential AS events and subsequently a TII risk model. We then conducted a two-factor survival analysis to study the association between TII and AS risk and evaluated the associations between immune signatures and six types of immune cells based on the TIMER database. Subs</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021</publication><modification>2025-04-04T14:34:45.824Z</modification><creation>2025-04-04T14:34:45.824Z</creation></dates><accession>S-EPMC8117221</accession><cross_references><pubmed>33996533</pubmed><doi>10.3389/fonc.2021.583547</doi></cross_references></HashMap>