R35CA263817
Project Grant
Overview
Grant Description
Molecular Prediction of Myeloma Initiation
Molecular Prediction of Myeloma Initiation - Summary
Multiple myeloma (MM) is the second most common hematologic malignancy and is almost always preceded by monoclonal gammopathy of undetermined significance (MGUS) and smoldering myeloma (SMM). Recent randomized trials have shown that early therapeutic intervention at the stage of SMM can improve progression-free and overall survival. This indicates that early detection and therapeutic intervention before symptomatic MM occurs may lead to improved survival and decreased morbidity from other complications such as bone fractures, renal failure, and hospitalizations related to end-organ damage from myeloma.
Early detection requires a comprehensive screening of the population at risk for developing MM. Known risk factors for developing MM include aging, race (blacks), and familial history of hematologic malignancies. Our preliminary data of screening ~7,500 ethnically diverse individuals at risk of developing MM using a sensitive quantitative MALDI-TOF mass spectrometry has shown a prevalence rate of monoclonal protein in 45% of individuals of age >50y and having an early immune dysregulation that we termed monoclonal gammopathy of indeterminate potential (MGIP). MGUS was significantly more prevalent in black participants and participants with familial hematologic malignancy (HM) history than in white participants with no family history of HM.
To begin to delineate mechanisms by which these early MGIP clones progress to MGUS and further lead to MM, we plan to explore the host intrinsic (age, race, germline risk factors) and acquired (inflammation, antigenic activation) risk factors on the expanding clone and its environment that influence its behavior. We believe the next frontier in MM research is to understand how one develops myeloma and treat it early before end-organ damage. Identifying and preventing the development of the earliest stages of MM will lead to transformative approaches to treatment and serve as a paragon of cancer prevention.
We hypothesize that defining risk as ancestry scores and genomic signatures, instead of defining risk by self-identified race, can improve risk prediction for MM. Similarly, instead of using chronological age as a risk factor for MM, we will test the hypothesis that the effective age of the bone marrow niche confers biological risk of developing MM. Together, we believe that these studies will help define the mechanistic underpinnings of the carcinogenic process linked to MM. This approach will allow the field to transition from a purely demographic definition of risk to a biological one.
Molecular Prediction of Myeloma Initiation - Summary
Multiple myeloma (MM) is the second most common hematologic malignancy and is almost always preceded by monoclonal gammopathy of undetermined significance (MGUS) and smoldering myeloma (SMM). Recent randomized trials have shown that early therapeutic intervention at the stage of SMM can improve progression-free and overall survival. This indicates that early detection and therapeutic intervention before symptomatic MM occurs may lead to improved survival and decreased morbidity from other complications such as bone fractures, renal failure, and hospitalizations related to end-organ damage from myeloma.
Early detection requires a comprehensive screening of the population at risk for developing MM. Known risk factors for developing MM include aging, race (blacks), and familial history of hematologic malignancies. Our preliminary data of screening ~7,500 ethnically diverse individuals at risk of developing MM using a sensitive quantitative MALDI-TOF mass spectrometry has shown a prevalence rate of monoclonal protein in 45% of individuals of age >50y and having an early immune dysregulation that we termed monoclonal gammopathy of indeterminate potential (MGIP). MGUS was significantly more prevalent in black participants and participants with familial hematologic malignancy (HM) history than in white participants with no family history of HM.
To begin to delineate mechanisms by which these early MGIP clones progress to MGUS and further lead to MM, we plan to explore the host intrinsic (age, race, germline risk factors) and acquired (inflammation, antigenic activation) risk factors on the expanding clone and its environment that influence its behavior. We believe the next frontier in MM research is to understand how one develops myeloma and treat it early before end-organ damage. Identifying and preventing the development of the earliest stages of MM will lead to transformative approaches to treatment and serve as a paragon of cancer prevention.
We hypothesize that defining risk as ancestry scores and genomic signatures, instead of defining risk by self-identified race, can improve risk prediction for MM. Similarly, instead of using chronological age as a risk factor for MM, we will test the hypothesis that the effective age of the bone marrow niche confers biological risk of developing MM. Together, we believe that these studies will help define the mechanistic underpinnings of the carcinogenic process linked to MM. This approach will allow the field to transition from a purely demographic definition of risk to a biological one.
Awardee
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
Boston,
Massachusetts
022155418
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 288% from $1,059,900 to $4,108,272.
Dana-Farber Cancer Institute was awarded
Early Detection Prediction of Myeloma Development through Molecular Analysis
Project Grant R35CA263817
worth $4,108,272
from National Cancer Institute in September 2022 with work to be completed primarily in Boston Massachusetts United States.
The grant
has a duration of 7 years and
was awarded through assistance program 93.396 Cancer Biology Research.
The Project Grant was awarded through grant opportunity NCI Outstanding Investigator Award (R35 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 9/5/25
Period of Performance
9/6/22
Start Date
8/31/29
End Date
Funding Split
$4.1M
Federal Obligation
$0.0
Non-Federal Obligation
$4.1M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R35CA263817
Transaction History
Modifications to R35CA263817
Additional Detail
Award ID FAIN
R35CA263817
SAI Number
R35CA263817-851371437
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
DPMGH9MG1X67
Awardee CAGE
5E915
Performance District
MA-07
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) | $2,079,492 | 100% |
Modified: 9/5/25