<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><study_type>Whole Genome Sequencing</study_type><full_dataset_link>https://ega-archive.org/studies/EGAS00001007400</full_dataset_link><host>EGA</host><description>EGA study EGAS00001007400</description><dataset_title>Xenograft cfDNA dataset</dataset_title><repository>EGA</repository><category>restricted</category></additional><is_claimable>false</is_claimable><name>Genome wide cell-free DNA biological patterns in patients with cancer</name><description>The structure of cell-free DNA (cfDNA) is altered in the blood of cancer patients. From whole genome sequencing we retrieved the cfDNA fragment-end composition using a new software (FrEIA), as well as the cfDNA size and tumor fraction in three independent cohorts (n=925 cancer from >10 types and 321 control samples). At 95% specificity, we detect 72% of cancer samples using at least one cfDNA measure, including 64% of early-stage cancer (n=220). cfDNA detection correlates with a shorter overall (p=0.018) and recurrence-free (p=0.006) survival in patients with resectable esophageal adenocarcinoma. Integrating cfDNA measures with machine learning in an independent test set (n=396 cancer, 90 controls) achieve a detection accuracy of 82% and AUROC of 96%. In conclusion, harnessing the biological features of cfDNA can improve at no-extra cost the diagnostic performance of liquid biopsies.</description><dates><updated>2023-07-13 09:23:22</updated></dates><accession>EGAS00001007400</accession><cross_references><TAXONOMY>9606</TAXONOMY><EGA>EGAD00001011128</EGA><EGA>EGAC00001003335</EGA></cross_references></HashMap>