<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>93</volume><submitter>Ning C</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Various studies have reported cell-free RNAs (cfRNAs) as noninvasive biomarkers for detecting hepatocellular carcinoma (HCC). However, they have not been independently validated, and some results are contradictory. We provided a comprehensive evaluation of various types of cfRNA biomarkers and a full mining of the biomarker potential of new features of cfRNA.&lt;h4>Methods&lt;/h4>We first systematically reviewed reported cfRNA biomarkers and calculated dysregulated post-transcriptional events and cfRNA fragments. In 3 independent multicentre cohorts, we further selected 6 cfRNAs using RT-qPCR, built a panel called HCCMDP with AFP using machine learning, and internally and externally validated HCCMDP's performance.&lt;h4>Findings&lt;/h4>We identified 23 cfRNA biomarker candidates fro</pubmed_abstract><journal>EBioMedicine</journal><pagination>104645</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10363443</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A comprehensive evaluation of full-spectrum cell-free RNAs highlights cell-free RNA fragments for early-stage hepatocellular carcinoma detection.</pubmed_title><pmcid>PMC10363443</pmcid><pubmed_authors>Li G</pubmed_authors><pubmed_authors>Yan L</pubmed_authors><pubmed_authors>Ning C</pubmed_authors><pubmed_authors>Lu ZJ</pubmed_authors><pubmed_authors>Cai P</pubmed_authors><pubmed_authors>Chen L</pubmed_authors><pubmed_authors>Bao P</pubmed_authors><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Tang K</pubmed_authors><pubmed_authors>Ning M</pubmed_authors><pubmed_authors>Guo H</pubmed_authors><pubmed_authors>Luo Y</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Wang Z</pubmed_authors><pubmed_authors>Yin J</pubmed_authors></additional><is_claimable>false</is_claimable><name>A comprehensive evaluation of full-spectrum cell-free RNAs highlights cell-free RNA fragments for early-stage hepatocellular carcinoma detection.</name><description>&lt;h4>Background&lt;/h4>Various studies have reported cell-free RNAs (cfRNAs) as noninvasive biomarkers for detecting hepatocellular carcinoma (HCC). However, they have not been independently validated, and some results are contradictory. We provided a comprehensive evaluation of various types of cfRNA biomarkers and a full mining of the biomarker potential of new features of cfRNA.&lt;h4>Methods&lt;/h4>We first systematically reviewed reported cfRNA biomarkers and calculated dysregulated post-transcriptional events and cfRNA fragments. In 3 independent multicentre cohorts, we further selected 6 cfRNAs using RT-qPCR, built a panel called HCCMDP with AFP using machine learning, and internally and externally validated HCCMDP's performance.&lt;h4>Findings&lt;/h4>We identified 23 cfRNA biomarker candidates fro</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jul</publication><modification>2026-04-12T23:14:36.441Z</modification><creation>2024-12-03T20:33:55.5Z</creation></dates><accession>S-EPMC10363443</accession><cross_references><pubmed>37315449</pubmed><doi>10.1016/j.ebiom.2023.104645</doi></cross_references></HashMap>