R01CA255319
Project Grant
Overview
Grant Description
Leveraging Canine Spontaneous Cancer to Optimize the Power of Blood Biopsy - Project Summary
Recent technological advances have driven the development of novel, less invasive approaches for assessing the tumor genome. In particular, the "blood biopsy" which leverages circulating tumor DNA (ctDNA) released by dying cancer cells, has potential utility for screening individuals at risk for cancer, determining those patients likely to relapse post-treatment, identifying actionable mutations to plan treatment, and characterizing tumor genome evolution.
However, several challenges remain including the need to standardize collection and processing procedures, optimize sequencing/analysis platforms, and correlate data generated from ctDNA with patient outcomes. For example, factors such as time of day or vein used for blood collection (central vs. peripheral) may influence ctDNA yields and reproducibility of the assay. Moreover, while evaluation for common mutations can readily be performed using ctDNA (i.e., EGFR mutations in lung cancer), tumor types with low mutation burden and/or large structural variants (deletions/inversions) remain more difficult to characterize.
Finally, prospective sampling of human patients to assess the predictive value of blood biopsy requires a relatively long timeline (years). While such studies would presumably be ideal in murine cancer models where disease progression is rapid, blood volumes are limited, repeated sampling can be difficult, and it is problematic to accurately recapitulate cycles of treatment response and resistance.
Interestingly, pet dogs spontaneously develop cancers that closely mirror their human counterparts with respect to clinical course, molecular dysregulation, and genomic alterations, and as such, they represent a unique model for improving blood biopsy performance and application. Because pet dogs receive standard treatment (chemo/radiation/immunotherapy) yet experience a compressed disease timeline, critical information can typically be obtained quite rapidly.
Toward that end, we have generated preliminary data demonstrating that ctDNA is readily detectable in dogs with cancer, that genetic changes concordant with those in the tumor can be detected, and that treatment has a variable impact on ctDNA levels. The purpose of this proposal is to build upon these findings to credential dogs with cancer as a relevant tool for blood biopsy advancement and use this model to optimize and advance its application to human patients.
Specifically, we will determine how various factors affect ctDNA yield, assess concordance of tumor and ctDNA sequence data, develop and implement a diagnostic mutation panel for patient screening, and conduct longitudinal studies to track both minimal residual disease and likelihood of relapse.
To facilitate rapid clinical translation of findings, we selected canine cancers with genomic landscapes that have human equivalents: urothelial carcinoma (BRAF V595E), mast cell tumor (KIT internal tandem duplication), osteosarcoma (large structural variants), lymphoma (MYC amplification, TRAF3 mutation), and hemangiosarcoma (P53, PIK3CA mutation).
Tools created through this work will have utility for ongoing as well as future canine translational cancer research, thereby supporting the continued development of this model system.
Recent technological advances have driven the development of novel, less invasive approaches for assessing the tumor genome. In particular, the "blood biopsy" which leverages circulating tumor DNA (ctDNA) released by dying cancer cells, has potential utility for screening individuals at risk for cancer, determining those patients likely to relapse post-treatment, identifying actionable mutations to plan treatment, and characterizing tumor genome evolution.
However, several challenges remain including the need to standardize collection and processing procedures, optimize sequencing/analysis platforms, and correlate data generated from ctDNA with patient outcomes. For example, factors such as time of day or vein used for blood collection (central vs. peripheral) may influence ctDNA yields and reproducibility of the assay. Moreover, while evaluation for common mutations can readily be performed using ctDNA (i.e., EGFR mutations in lung cancer), tumor types with low mutation burden and/or large structural variants (deletions/inversions) remain more difficult to characterize.
Finally, prospective sampling of human patients to assess the predictive value of blood biopsy requires a relatively long timeline (years). While such studies would presumably be ideal in murine cancer models where disease progression is rapid, blood volumes are limited, repeated sampling can be difficult, and it is problematic to accurately recapitulate cycles of treatment response and resistance.
Interestingly, pet dogs spontaneously develop cancers that closely mirror their human counterparts with respect to clinical course, molecular dysregulation, and genomic alterations, and as such, they represent a unique model for improving blood biopsy performance and application. Because pet dogs receive standard treatment (chemo/radiation/immunotherapy) yet experience a compressed disease timeline, critical information can typically be obtained quite rapidly.
Toward that end, we have generated preliminary data demonstrating that ctDNA is readily detectable in dogs with cancer, that genetic changes concordant with those in the tumor can be detected, and that treatment has a variable impact on ctDNA levels. The purpose of this proposal is to build upon these findings to credential dogs with cancer as a relevant tool for blood biopsy advancement and use this model to optimize and advance its application to human patients.
Specifically, we will determine how various factors affect ctDNA yield, assess concordance of tumor and ctDNA sequence data, develop and implement a diagnostic mutation panel for patient screening, and conduct longitudinal studies to track both minimal residual disease and likelihood of relapse.
To facilitate rapid clinical translation of findings, we selected canine cancers with genomic landscapes that have human equivalents: urothelial carcinoma (BRAF V595E), mast cell tumor (KIT internal tandem duplication), osteosarcoma (large structural variants), lymphoma (MYC amplification, TRAF3 mutation), and hemangiosarcoma (P53, PIK3CA mutation).
Tools created through this work will have utility for ongoing as well as future canine translational cancer research, thereby supporting the continued development of this model system.
Funding Goals
TO PROVIDE FUNDAMENTAL INFORMATION ON THE CAUSE AND NATURE OF CANCER IN PEOPLE, WITH THE EXPECTATION THAT THIS WILL RESULT IN BETTER METHODS OF PREVENTION, DETECTION AND DIAGNOSIS, AND TREATMENT OF NEOPLASTIC DISEASES. CANCER BIOLOGY RESEARCH INCLUDES THE FOLLOWING RESEARCH PROGRAMS: CANCER CELL BIOLOGY, CANCER IMMUNOLOGY, HEMATOLOGY AND ETIOLOGY, DNA AND CHROMOSOMAL ABERRATIONS, TUMOR BIOLOGY AND METASTASIS, AND STRUCTURAL BIOLOGY AND MOLECULAR APPLICATIONS.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Worcester,
Massachusetts
016052324
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 380% from $645,307 to $3,095,555.
University Of Massachusetts Medical School was awarded
Canine Blood Biopsy for Cancer Detection and Treatment Optimization
Project Grant R01CA255319
worth $3,095,555
from National Cancer Institute in June 2021 with work to be completed primarily in Worcester Massachusetts United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.396 Cancer Biology Research.
The Project Grant was awarded through grant opportunity Research Projects to Enhance Applicability of Mammalian Models for Translational Research (R01).
Status
(Ongoing)
Last Modified 6/20/25
Period of Performance
6/7/21
Start Date
5/31/26
End Date
Funding Split
$3.1M
Federal Obligation
$0.0
Non-Federal Obligation
$3.1M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01CA255319
Transaction History
Modifications to R01CA255319
Additional Detail
Award ID FAIN
R01CA255319
SAI Number
R01CA255319-3993450484
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NC00 NIH National Cancer Institute
Funding Office
75NC00 NIH National Cancer Institute
Awardee UEI
MQE2JHHJW9Q8
Awardee CAGE
6R004
Performance District
MA-02
Senators
Edward Markey
Elizabeth Warren
Elizabeth Warren
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Cancer Institute, National Institutes of Health, Health and Human Services (075-0849) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,309,073 | 100% |
Modified: 6/20/25