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Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers

by Kruchowski, Scott , Uy, Geoffrey L , Duncavage, Eric J , Heath, Sharon E , Du, Feiyu , Neidich, Julie , Westervelt, Peter , DiPersio, John F , Link, Daniel C , Fulton, Robert S , Payton, Jacqueline E , Schroeder, Molly C , Hughes, Emma , O’Laughlin, Michele , Baty, Jack D , Spencer, David H , Jacoby, Meagan A , MacMillan, Sandra , Christopher, Matthew J , Walter, Matthew J , Robinson, Josh , Ley, Timothy J , Hughes, Andrew E.O , Wilson, Roxanne , Bohannon, Andrew , Garza, John , Miller, Christopher A

in Acute myeloid leukemia / Algorithms / Bone marrow / Cancer / Cancer research / Cytogenetic Analysis / Cytogenetics / Feasibility Studies / Female / Genes / Genomes / Genomic analysis / Humans / Laboratories / Leukemia / Leukemia, Myeloid, Acute - genetics / Male / Middle Aged / Mutation / Myelodysplastic syndrome / Myelodysplastic syndromes / Myelodysplastic Syndromes - genetics / Myeloid leukemia / Patients / Proportional Hazards Models / Risk groups / Statistical analysis / Survival Analysis / Translocation / Whole genome sequencing / Whole Genome Sequencing - methods

2021

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Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers

2021

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Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers

2021

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Journal Article

Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers

Kruchowski, Scott,

Uy, Geoffrey L,

Duncavage, Eric J,

Heath, Sharon E,

Du, Feiyu,

Neidich, Julie,

Westervelt, Peter,

DiPersio, John F,

Link, Daniel C,

Fulton, Robert S,

Payton, Jacqueline E,

Schroeder, Molly C,

Hughes, Emma,

O’Laughlin, Michele,

Baty, Jack D,

Spencer, David H,

Jacoby, Meagan A,

MacMillan, Sandra,

Christopher, Matthew J,

Walter, Matthew J,

Robinson, Josh,

Ley, Timothy J,

Hughes, Andrew E.O,

Wilson, Roxanne,

Bohannon, Andrew,

Garza, John,

Miller, Christopher A

2021

Overview

In this study, investigators compared genome sequencing with cytogenetic analysis in 263 patients with acute myeloid leukemia or myelodysplastic syndromes. Prospective sequencing detected new genetic information that was not revealed by cytogenetic analysis in nearly 25% of the patients, which altered the risk category for most of these patients.

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Publisher

Massachusetts Medical Society

Subject

Acute myeloid leukemia

/ Algorithms

/ Bone marrow

/ Cancer

/ Cancer research

/ Cytogenetic Analysis

/ Cytogenetics