AI-based AML risk stratification using next generation cytogenomics

Ended Project Grant Awarded Last action

Award ID
R44CA278140
Recipient
Awarding agency
Obligated
$3,000,000

Award facts

Assistance listing
93.394 Cancer Detection and Diagnosis Research
Completion date
Originally
Place of performance
Washington, USA

Award details come from USAspending.gov.

Description

Abstract
Chromosome aberrations are a hallmark of acute myeloid leukemia and offer mechanistic and prognostic insights into disease. As such, a combination of cytogenetic assays are routinely applied as a part of the AML diagnostic workflow. While offering invaluable information on disease severity, most chromosome aberrations fall into the "cytogenetic abnormalities not classified" or "complex karyotype" categories. A range of studies have shown that, while ambiguous, these variants have prognostic value, suggesting the existence of cryptic variants of significance or complex epistases that drive the AML phenotype. However, there is currently no system for translating genome-wide chromosomal aberration information into patient risk. To improve the predictive potential of chromosome aberration profiles, we propose the development of a risk-prediction metric that will add new prognostic value to AML studies. Specifically, we will produce a method which will establish a patient risk metric that can help guide treatment decisions for patients traditionally judged as of intermediate risk. This development will employ our scalable cytogenomic tools and novel machine learning analytics to generate a large collection of cytogenomic datasets and analyze them to identify patterns linked to AML phenotypes. Once completed, we will have a combined kit and software solution that will not only improve upon existing cytogenetic applications in AML, but will offer new prognostic insights beyond what is possible with current tools. This product will deliver high-resolution view of the chromosome aberration landscape in AML and an offer a data-driven interpretation of how variants will impact disease severity.

Transactions

Action Obligated Date
Amendment $0
Amendment $0
Amendment $1,000,000
Amendment $1,000,000
Original award $1,000,000

Subawards

Subrecipient Amount Awarded
Fred Hutchinson Cancer Center Statement of Work for Subaward R44CA278140 This document describes the work required by Fred Hutchinson Cancer Center (FH) to fulfill their requirements for… $85,953

Quick answers

Who received award R44CA278140?

R44CA278140 was awarded to Phase Genomics Inc. by National Cancer Institute (National Institutes of Health) on July 1, 2023.

How much is award R44CA278140 worth?

$3,000,000 has been obligated on R44CA278140.

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