<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Duncavage EJ</submitter><funding>National Center for Advancing Translational Sciences</funding><funding>NCATS NIH HHS</funding><funding>Alvin J. Siteman Cancer Center</funding><funding>National Cancer Institute</funding><funding>NCI NIH HHS</funding><pagination>924-935</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8130455</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>384(10)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Genomic analysis is essential for risk stratification in patients with acute myeloid leukemia (AML) or myelodysplastic syndromes (MDS). Whole-genome sequencing is a potential replacement for conventional cytogenetic and sequencing approaches, but its accuracy, feasibility, and clinical utility have not been demonstrated.&lt;h4>Methods&lt;/h4>We used a streamlined whole-genome sequencing approach to obtain genomic profiles for 263 patients with myeloid cancers, including 235 patients who had undergone successful cytogenetic analysis. We adapted sample preparation, sequencing, and analysis to detect mutations for risk stratification using existing European Leukemia Network (ELN) guidelines and to minimize turnaround time. We analyzed the performance of whole-genome sequencing by</pubmed_abstract><journal>The New England journal of medicine</journal><pubmed_title>Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers.</pubmed_title><pmcid>PMC8130455</pmcid><funding_grant_id>R50 CA211782</funding_grant_id><funding_grant_id>R33 CA217700</funding_grant_id><funding_grant_id>UL1 TR002345</funding_grant_id><funding_grant_id>P01 CA101937</funding_grant_id><funding_grant_id>P01CA101937</funding_grant_id><funding_grant_id>P30CA091842</funding_grant_id><funding_grant_id>3UL1TR002345-02S1</funding_grant_id><funding_grant_id>19-FY19-01</funding_grant_id><funding_grant_id>P50 CA171963</funding_grant_id><funding_grant_id>P30 CA091842</funding_grant_id><funding_grant_id>R33CA217700-01</funding_grant_id><funding_grant_id>K08 CA190815</funding_grant_id><funding_grant_id>K08CA190815</funding_grant_id><funding_grant_id>R35 CA197561</funding_grant_id><pubmed_authors>Link DC</pubmed_authors><pubmed_authors>Christopher MJ</pubmed_authors><pubmed_authors>Wilson R</pubmed_authors><pubmed_authors>Hughes AEO</pubmed_authors><pubmed_authors>Fulton RS</pubmed_authors><pubmed_authors>Duncavage EJ</pubmed_authors><pubmed_authors>Baty JD</pubmed_authors><pubmed_authors>DiPersio JF</pubmed_authors><pubmed_authors>Spencer DH</pubmed_authors><pubmed_authors>Walter MJ</pubmed_authors><pubmed_authors>Miller CA</pubmed_authors><pubmed_authors>Garza J</pubmed_authors><pubmed_authors>Heath SE</pubmed_authors><pubmed_authors>Kruchowski S</pubmed_authors><pubmed_authors>Hughes E</pubmed_authors><pubmed_authors>Ley TJ</pubmed_authors><pubmed_authors>MacMillan S</pubmed_authors><pubmed_authors>Robinson J</pubmed_authors><pubmed_authors>Uy GL</pubmed_authors><pubmed_authors>Schroeder MC</pubmed_authors><pubmed_authors>Bohannon A</pubmed_authors><pubmed_authors>Jacoby MA</pubmed_authors><pubmed_authors>Du F</pubmed_authors><pubmed_authors>Payton JE</pubmed_authors><pubmed_authors>Westervelt P</pubmed_authors><pubmed_authors>O'Laughlin M</pubmed_authors><pubmed_authors>Neidich J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers.</name><description>&lt;h4>Background&lt;/h4>Genomic analysis is essential for risk stratification in patients with acute myeloid leukemia (AML) or myelodysplastic syndromes (MDS). Whole-genome sequencing is a potential replacement for conventional cytogenetic and sequencing approaches, but its accuracy, feasibility, and clinical utility have not been demonstrated.&lt;h4>Methods&lt;/h4>We used a streamlined whole-genome sequencing approach to obtain genomic profiles for 263 patients with myeloid cancers, including 235 patients who had undergone successful cytogenetic analysis. We adapted sample preparation, sequencing, and analysis to detect mutations for risk stratification using existing European Leukemia Network (ELN) guidelines and to minimize turnaround time. We analyzed the performance of whole-genome sequencing by</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Mar</publication><modification>2026-05-08T22:17:31.482Z</modification><creation>2022-02-11T10:37:45.43Z</creation></dates><accession>S-EPMC8130455</accession><cross_references><pubmed>33704937</pubmed><doi>10.1056/NEJMoa2024534</doi><doi>10.1056/nejmoa2024534</doi></cross_references></HashMap>