<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Modi A</submitter><funding>CCR NIH HHS</funding><funding>Children&amp;apos;s Oncology Group</funding><funding>National Cancer Institute</funding><funding>NHGRI NIH HHS</funding><funding>NCI NIH HHS</funding><funding>National Human Genome Research Institute</funding><pagination>3462-3477</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10787516</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>83(20)</volume><pubmed_abstract>Long noncoding RNAs (lncRNA) play an important role in gene regulation and contribute to tumorigenesis. While pan-cancer studies of lncRNA expression have been performed for adult malignancies, the lncRNA landscape across pediatric cancers remains largely uncharted. Here, we curated RNA sequencing data for 1,044 pediatric leukemia and extracranial solid tumors and integrated paired tumor whole genome sequencing and epigenetic data in relevant cell line models to explore lncRNA expression, regulation, and association with cancer. A total of 2,657 lncRNAs were robustly expressed across six pediatric cancers, including 1,142 exhibiting histotype-elevated expression. DNA copy number alterations contributed to lncRNA dysregulation at a proportion comparable to protein coding genes. Application </pubmed_abstract><journal>Cancer research</journal><pubmed_title>Integrative Genomic Analyses Identify LncRNA Regulatory Networks across Pediatric Leukemias and Solid Tumors.</pubmed_title><pmcid>PMC10787516</pmcid><funding_grant_id>R01CA124709</funding_grant_id><funding_grant_id>R01 CA237562</funding_grant_id><funding_grant_id>R01 CA124709</funding_grant_id><funding_grant_id>CA098543</funding_grant_id><funding_grant_id>R01 HG010067</funding_grant_id><funding_grant_id>X01HL136997</funding_grant_id><funding_grant_id>U10 CA098543</funding_grant_id><funding_grant_id>R01CA237562</funding_grant_id><funding_grant_id>HHSN261200800001E</funding_grant_id><funding_grant_id>R01 CA204974</funding_grant_id><funding_grant_id>R01HG010067</funding_grant_id><funding_grant_id>R03CA230366</funding_grant_id><funding_grant_id>T32HG46-18</funding_grant_id><funding_grant_id>HHSN261200800001C</funding_grant_id><funding_grant_id>R03 CA230366</funding_grant_id><pubmed_authors>Gadd S</pubmed_authors><pubmed_authors>Maris JM</pubmed_authors><pubmed_authors>Su C</pubmed_authors><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>Cheung D</pubmed_authors><pubmed_authors>Meshinchi S</pubmed_authors><pubmed_authors>Leung TC</pubmed_authors><pubmed_authors>Johnson ME</pubmed_authors><pubmed_authors>Conkrite KL</pubmed_authors><pubmed_authors>Ramanan S</pubmed_authors><pubmed_authors>Grant SFA</pubmed_authors><pubmed_authors>Wells AD</pubmed_authors><pubmed_authors>Diskin SJ</pubmed_authors><pubmed_authors>Lopez G</pubmed_authors><pubmed_authors>Hunger SP</pubmed_authors><pubmed_authors>Modi A</pubmed_authors><pubmed_authors>Smith MA</pubmed_authors><pubmed_authors>Perlman EJ</pubmed_authors><pubmed_authors>Manduchi E</pubmed_authors><pubmed_authors>Guidry Auvil JM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrative Genomic Analyses Identify LncRNA Regulatory Networks across Pediatric Leukemias and Solid Tumors.</name><description>Long noncoding RNAs (lncRNA) play an important role in gene regulation and contribute to tumorigenesis. While pan-cancer studies of lncRNA expression have been performed for adult malignancies, the lncRNA landscape across pediatric cancers remains largely uncharted. Here, we curated RNA sequencing data for 1,044 pediatric leukemia and extracranial solid tumors and integrated paired tumor whole genome sequencing and epigenetic data in relevant cell line models to explore lncRNA expression, regulation, and association with cancer. A total of 2,657 lncRNAs were robustly expressed across six pediatric cancers, including 1,142 exhibiting histotype-elevated expression. DNA copy number alterations contributed to lncRNA dysregulation at a proportion comparable to protein coding genes. Application </description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Oct</publication><modification>2026-06-04T05:53:32.229Z</modification><creation>2026-05-05T03:13:21.95Z</creation></dates><accession>S-EPMC10787516</accession><cross_references><pubmed>37584517</pubmed><doi>10.1158/0008-5472.CAN-22-3186</doi><doi>10.1158/0008-5472.can-22-3186</doi></cross_references></HashMap>