<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dittmar RL</submitter><funding>The Cancer Prevention Institute of Texas</funding><funding>NIEHS NIH HHS</funding><funding>NIEHS</funding><funding>NCI NIH HHS</funding><funding>National Institutes of Health Translational Genomics and Precision Medicine in Cancer T32 Training Program</funding><funding>Cancer Prevention Research Institute of Texas</funding><funding>NIH</funding><funding>NIH NCI</funding><pagination>729-740</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8818322</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(7)</volume><pubmed_abstract>Early detection of pancreatic ductal adenocarcinoma (PDAC) is key to improving patient outcomes; however, PDAC is usually diagnosed late. Therefore, blood-based minimally invasive biomarker assays for limited volume clinical samples are urgently needed. A novel miRNA profiling platform (Abcam Fireplex-Oncology Panel) was used to investigate the feasibility of developing early detection miRNA biomarkers with 20 μL plasma from a training set (58 stage II PDAC cases and 30 controls) and two validation sets (34 stage II PDAC cases and 25 controls; 44 stage II PDAC cases and 18 controls). miR-34a-5p [AUC = 0.77; 95% confidence interval (CI), 0.66-0.87], miR-130a-3p (AUC = 0.74; 95% CI, 0.63-0.84), and miR-222-3p (AUC = 0.70; 95% CI, 0.58-0.81) were identified as significantly differentially abu</pubmed_abstract><journal>Cancer prevention research (Philadelphia, Pa.)</journal><pubmed_title>Plasma miRNA Biomarkers in Limited Volume Samples for Detection of Early-stage Pancreatic Cancer.</pubmed_title><pmcid>PMC8818322</pmcid><funding_grant_id>U01 CA200466</funding_grant_id><funding_grant_id>U01 CA252965</funding_grant_id><funding_grant_id>1P42ES0327725</funding_grant_id><funding_grant_id>RP170005</funding_grant_id><funding_grant_id>U01CA200468</funding_grant_id><funding_grant_id>CA125123</funding_grant_id><funding_grant_id>U01 CA196403</funding_grant_id><funding_grant_id>U01 CA200468</funding_grant_id><funding_grant_id>T32 CA217789</funding_grant_id><funding_grant_id>P30 ES030285</funding_grant_id><funding_grant_id>5T32CA217789-03</funding_grant_id><funding_grant_id>P30 CA125123</funding_grant_id><funding_grant_id>U01CA196403</funding_grant_id><funding_grant_id>U01 CA214263</funding_grant_id><funding_grant_id>P50CA221707</funding_grant_id><funding_grant_id>P50 CA221707</funding_grant_id><funding_grant_id>RP180392</funding_grant_id><funding_grant_id>1 U01 CA214263</funding_grant_id><funding_grant_id>1P30ES030285</funding_grant_id><pubmed_authors>Tai MC</pubmed_authors><pubmed_authors>Longton G</pubmed_authors><pubmed_authors>DeCapite C</pubmed_authors><pubmed_authors>Coarfa C</pubmed_authors><pubmed_authors>Rajapakshe K</pubmed_authors><pubmed_authors>Liu S</pubmed_authors><pubmed_authors>Paris PL</pubmed_authors><pubmed_authors>Sen S</pubmed_authors><pubmed_authors>Huang Y</pubmed_authors><pubmed_authors>Kirkwood KS</pubmed_authors><pubmed_authors>Maitra A</pubmed_authors><pubmed_authors>Hurd MW</pubmed_authors><pubmed_authors>Brand RE</pubmed_authors><pubmed_authors>Dittmar RL</pubmed_authors><pubmed_authors>Killary AM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Plasma miRNA Biomarkers in Limited Volume Samples for Detection of Early-stage Pancreatic Cancer.</name><description>Early detection of pancreatic ductal adenocarcinoma (PDAC) is key to improving patient outcomes; however, PDAC is usually diagnosed late. Therefore, blood-based minimally invasive biomarker assays for limited volume clinical samples are urgently needed. A novel miRNA profiling platform (Abcam Fireplex-Oncology Panel) was used to investigate the feasibility of developing early detection miRNA biomarkers with 20 μL plasma from a training set (58 stage II PDAC cases and 30 controls) and two validation sets (34 stage II PDAC cases and 25 controls; 44 stage II PDAC cases and 18 controls). miR-34a-5p [AUC = 0.77; 95% confidence interval (CI), 0.66-0.87], miR-130a-3p (AUC = 0.74; 95% CI, 0.63-0.84), and miR-222-3p (AUC = 0.70; 95% CI, 0.58-0.81) were identified as significantly differentially abu</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Jul</publication><modification>2026-05-31T20:54:43.615Z</modification><creation>2025-04-06T11:13:34.788Z</creation></dates><accession>S-EPMC8818322</accession><cross_references><pubmed>33893071</pubmed><doi>10.1158/1940-6207.capr-20-0303</doi><doi>10.1158/1940-6207.CAPR-20-0303</doi></cross_references></HashMap>