R01CA289886
Project Grant
Overview
Grant Description
A compass for those with relapsed leukemia after transplant - abstract
Relapse of leukemia occurs in nearly half of patients after hematopoietic cell transplantation (HCT). While there are a growing number of therapeutic options for leukemic relapse after HCT, we lack a clinical assay capable of simultaneously detecting disease and triaging patients to treatment which will most likely benefit them.
In this application, we propose to rigorously evaluate and employ novel single-cell genomic methods and their accompanying computational approaches to detect disease at low levels, inform mechanisms of relapse, and direct future therapy. In Aim 1, we will optimize computational methods for detecting natural genetic variation between donor and recipient, a diagnostic maneuver we believe will improve the sensitivity of detecting malignant cells after HCT.
We will then validate these methods using samples from patients in a retrospective fashion. To provide insight into mechanisms of relapse, we have developed a novel molecular approach for identifying perturbations in HLA and related genes, a common means by which leukemia evades the immune system after HCT. In Aim 2, we will validate this method in a manner that explores the lower limit of detection for HLA-perturbed cells.
Finally, in Aim 3, we will build on decades of work using flow cytometry to assess the heterogeneity of myeloid neoplasms by integrating our single-cell molecular measures with cell-surface immunophenotype. Using this approach, we seek to define common molecular signatures in leukemia-initiating cells (LICs), a subset of cells in myeloid neoplasms thought to be a chemo-resistant reservoir of leukemia.
The proposed studies will establish a new method for surveillance of residual disease after HCT, which we believe will provide a deeper level of confidence and insight into leukemic relapse post-transplant. We expect these studies to form the foundational preclinical data for a single-cell genomics clinical assay capable of risk-stratifying patients with early evidence of leukemic relapse after HCT.
Relapse of leukemia occurs in nearly half of patients after hematopoietic cell transplantation (HCT). While there are a growing number of therapeutic options for leukemic relapse after HCT, we lack a clinical assay capable of simultaneously detecting disease and triaging patients to treatment which will most likely benefit them.
In this application, we propose to rigorously evaluate and employ novel single-cell genomic methods and their accompanying computational approaches to detect disease at low levels, inform mechanisms of relapse, and direct future therapy. In Aim 1, we will optimize computational methods for detecting natural genetic variation between donor and recipient, a diagnostic maneuver we believe will improve the sensitivity of detecting malignant cells after HCT.
We will then validate these methods using samples from patients in a retrospective fashion. To provide insight into mechanisms of relapse, we have developed a novel molecular approach for identifying perturbations in HLA and related genes, a common means by which leukemia evades the immune system after HCT. In Aim 2, we will validate this method in a manner that explores the lower limit of detection for HLA-perturbed cells.
Finally, in Aim 3, we will build on decades of work using flow cytometry to assess the heterogeneity of myeloid neoplasms by integrating our single-cell molecular measures with cell-surface immunophenotype. Using this approach, we seek to define common molecular signatures in leukemia-initiating cells (LICs), a subset of cells in myeloid neoplasms thought to be a chemo-resistant reservoir of leukemia.
The proposed studies will establish a new method for surveillance of residual disease after HCT, which we believe will provide a deeper level of confidence and insight into leukemic relapse post-transplant. We expect these studies to form the foundational preclinical data for a single-cell genomics clinical assay capable of risk-stratifying patients with early evidence of leukemic relapse after HCT.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Seattle,
Washington
981094433
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 376% from $734,482 to $3,497,050.
Fred Hutchinson Cancer Center was awarded
Genomic Compass for Leukemic Relapse Post-Transplant
Project Grant R01CA289886
worth $3,497,050
from National Cancer Institute in June 2024 with work to be completed primarily in Seattle Washington United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.394 Cancer Detection and Diagnosis Research.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 6/22/26
Period of Performance
6/1/24
Start Date
5/31/29
End Date
Funding Split
$3.5M
Federal Obligation
$0.0
Non-Federal Obligation
$3.5M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01CA289886
Transaction History
Modifications to R01CA289886
Additional Detail
Award ID FAIN
R01CA289886
SAI Number
R01CA289886-3820922779
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Nonprofit With 501(c)(3) IRS Status (Other Than An Institution Of Higher Education)
Awarding Office
75NC00 NIH National Cancer Institute
Funding Office
75NC00 NIH National Cancer Institute
Awardee UEI
TJFZLPP6NYL6
Awardee CAGE
50WB4
Performance District
WA-07
Senators
Maria Cantwell
Patty Murray
Patty Murray
Modified: 6/22/26