<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>2022</volume><submitter>Bian-Fang Y</submitter><pubmed_abstract>&lt;h4>Objective&lt;/h4>This study is aimed at exploring the association between autophagy and tumor immune infiltration (TII) in colorectal cancer (CRC).&lt;h4>Methods and materials&lt;/h4>We downloaded the transcriptome profiling and clinical data for CRC from The Cancer Genome Atlas (TCGA) database and obtained the normal colon transcriptome profiling data from Genotype-Tissue Expression Project (GTEx) database. The list of autophagy-related signatures was obtained from the Human Autophagy Database. We isolated the autophagy-related genes from the CRC gene expression matrix and constructed an autophagy-related prognostic (ARP) risk model. Then, we constructed a multiROC curve to validate the prognostic ability of the ARP risk model. CIBERSORT was used to determine the fractions of 22 immune cells i</pubmed_abstract><journal>Analytical cellular pathology (Amsterdam)</journal><pagination>2055676</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8938087</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>The Role of Autophagy in Tumor Immune Infiltration in Colorectal Cancer.</pubmed_title><pmcid>PMC8938087</pmcid><pubmed_authors>Qing-Feng W</pubmed_authors><pubmed_authors>Dong-Ning W</pubmed_authors><pubmed_authors>Yan Z</pubmed_authors><pubmed_authors>Ben-Jun W</pubmed_authors><pubmed_authors>Wen-Wen Z</pubmed_authors><pubmed_authors>Xin D</pubmed_authors><pubmed_authors>Jian-Yu S</pubmed_authors><pubmed_authors>Shi-Yi W</pubmed_authors><pubmed_authors>Bian-Fang Y</pubmed_authors><pubmed_authors>Dan T</pubmed_authors></additional><is_claimable>false</is_claimable><name>The Role of Autophagy in Tumor Immune Infiltration in Colorectal Cancer.</name><description>&lt;h4>Objective&lt;/h4>This study is aimed at exploring the association between autophagy and tumor immune infiltration (TII) in colorectal cancer (CRC).&lt;h4>Methods and materials&lt;/h4>We downloaded the transcriptome profiling and clinical data for CRC from The Cancer Genome Atlas (TCGA) database and obtained the normal colon transcriptome profiling data from Genotype-Tissue Expression Project (GTEx) database. The list of autophagy-related signatures was obtained from the Human Autophagy Database. We isolated the autophagy-related genes from the CRC gene expression matrix and constructed an autophagy-related prognostic (ARP) risk model. Then, we constructed a multiROC curve to validate the prognostic ability of the ARP risk model. CIBERSORT was used to determine the fractions of 22 immune cells i</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2025-04-26T04:42:06.182Z</modification><creation>2025-04-06T11:12:59.377Z</creation></dates><accession>S-EPMC8938087</accession><cross_references><pubmed>35321516</pubmed><doi>10.1155/2022/2055676</doi></cross_references></HashMap>