U01CA272610
Cooperative Agreement
Overview
Grant Description
Elucidating and targeting tumor dependencies and drug resistance determinants at the single cell level - cancer targets fall into two major categories: oncoproteins that elicit tumor essentiality due to their direct role in tumorigenesis or tumor maintenance (oncogene dependencies) and proteins that elicit synthetic lethality with oncogene mutations but are not themselves mutated (non-oncogene dependencies).
Unfortunately, clonal selection and inherent cancer cell plasticity—as well as the ability of cancer cells to undergo adaptation and reprogramming to drug resistant states, following treatment—are currently challenging the concept of individual proteins as effective therapeutic targets for an entire tumor mass—especially if identified from bulk tissue analyses.
Indeed, despite several successes, only 5% – 11% of cancer patients benefit from targeted therapy, based on progression free survival, often with no substantial overall survival differences; while promising, immune therapy is also subject to selective response and relapse.
To address these challenges, our proposal will study a more universal class of mutation-agnostic, non-oncogene dependencies implemented by tightly-autoregulated sets of master regulator (MR) proteins that we have called tumor checkpoint (TC) modules.
We have shown that MR proteins mechanistically implement a tumor cell’s transcriptional state by canalizing the effect of mutations and aberrant signals in their upstream pathways. As such, within the context of a transcriptionally-distinct tumor subtype, they represent largely mutation-agnostic dependencies.
Our proposal will thus focus on the elucidation and pharmacological targeting of MRs and TC-modules at the single cell level, within molecularly distinct, yet co-existing tumor subpopulations. This will lead to design of successful combination therapy approaches and will help elucidate and pharmacologically target mechanisms of drug resistance and cell adaptation.
To accomplish these goals, we will extend a highly successful, network-based framework developed by our CTD2 center, for the elucidation, validation, and pharmacological targeting of MR proteins and TC-modules.
Indeed, we have shown that genetic or pharmacological targeting of this new class of tumor dependencies can induce collapse of TC-module activity and induce loss of tumor viability in a wide range of malignancies, ranging from glioblastoma, neuroblastoma, and neuroendocrine tumors, to prostate and breast adenocarcinoma, among many others.
In particular, analysis of 25 TCGA cohorts has identified 112 transcriptionally distinct tumor subtypes, each one regulated by a distinct subtype-specific TC-module, which was independent of patient-specific mutations. These methodologies are especially relevant in rare, aggressive tumors—including several pediatric malignancies—where cohort size may be too small to support correlative analyses.
Critically, these studies have led to the development of two NY/CA Dpt. of Health approved, CLIA-compliant tests, Oncotarget and Oncotreat, whose predictions have spurred several clinical trials.
These approaches will be extended to elucidate TC-module dependencies and to develop drug sensitivity biomarkers at the single cell level.
Unfortunately, clonal selection and inherent cancer cell plasticity—as well as the ability of cancer cells to undergo adaptation and reprogramming to drug resistant states, following treatment—are currently challenging the concept of individual proteins as effective therapeutic targets for an entire tumor mass—especially if identified from bulk tissue analyses.
Indeed, despite several successes, only 5% – 11% of cancer patients benefit from targeted therapy, based on progression free survival, often with no substantial overall survival differences; while promising, immune therapy is also subject to selective response and relapse.
To address these challenges, our proposal will study a more universal class of mutation-agnostic, non-oncogene dependencies implemented by tightly-autoregulated sets of master regulator (MR) proteins that we have called tumor checkpoint (TC) modules.
We have shown that MR proteins mechanistically implement a tumor cell’s transcriptional state by canalizing the effect of mutations and aberrant signals in their upstream pathways. As such, within the context of a transcriptionally-distinct tumor subtype, they represent largely mutation-agnostic dependencies.
Our proposal will thus focus on the elucidation and pharmacological targeting of MRs and TC-modules at the single cell level, within molecularly distinct, yet co-existing tumor subpopulations. This will lead to design of successful combination therapy approaches and will help elucidate and pharmacologically target mechanisms of drug resistance and cell adaptation.
To accomplish these goals, we will extend a highly successful, network-based framework developed by our CTD2 center, for the elucidation, validation, and pharmacological targeting of MR proteins and TC-modules.
Indeed, we have shown that genetic or pharmacological targeting of this new class of tumor dependencies can induce collapse of TC-module activity and induce loss of tumor viability in a wide range of malignancies, ranging from glioblastoma, neuroblastoma, and neuroendocrine tumors, to prostate and breast adenocarcinoma, among many others.
In particular, analysis of 25 TCGA cohorts has identified 112 transcriptionally distinct tumor subtypes, each one regulated by a distinct subtype-specific TC-module, which was independent of patient-specific mutations. These methodologies are especially relevant in rare, aggressive tumors—including several pediatric malignancies—where cohort size may be too small to support correlative analyses.
Critically, these studies have led to the development of two NY/CA Dpt. of Health approved, CLIA-compliant tests, Oncotarget and Oncotreat, whose predictions have spurred several clinical trials.
These approaches will be extended to elucidate TC-module dependencies and to develop drug sensitivity biomarkers at the single cell level.
Funding Goals
TO IMPROVE SCREENING AND EARLY DETECTION STRATEGIES AND TO DEVELOP ACCURATE DIAGNOSTIC TECHNIQUES AND METHODS FOR PREDICTING THE COURSE OF DISEASE IN CANCER PATIENTS. SCREENING AND EARLY DETECTION RESEARCH INCLUDES DEVELOPMENT OF STRATEGIES TO DECREASE CANCER MORTALITY BY FINDING TUMORS EARLY WHEN THEY ARE MORE AMENABLE TO TREATMENT. DIAGNOSIS RESEARCH FOCUSES ON METHODS TO DETERMINE THE PRESENCE OF A SPECIFIC TYPE OF CANCER, TO PREDICT ITS COURSE AND RESPONSE TO THERAPY, BOTH A PARTICULAR THERAPY OR A CLASS OF AGENTS, AND TO MONITOR THE EFFECT OF THE THERAPY AND THE APPEARANCE OF DISEASE RECURRENCE. THESE METHODS INCLUDE DIAGNOSTIC IMAGING AND DIRECT ANALYSES OF SPECIMENS FROM TUMOR OR OTHER TISSUES. SUPPORT IS ALSO PROVIDED FOR ESTABLISHING AND MAINTAINING RESOURCES OF HUMAN TISSUE TO FACILITATE RESEARCH. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO EXPAND AND IMPROVE THE SBIR PROGRAM, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE AND FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH AND DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
New York,
New York
100323802
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 288% from $991,182 to $3,840,901.
The Trustees Of Columbia University In The City Of New York was awarded
Targeting Tumor Dependencies via TC-Modules at Single Cell Level
Cooperative Agreement U01CA272610
worth $3,840,901
from National Cancer Institute in September 2022 with work to be completed primarily in New York New York United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.396 Cancer Biology Research.
The Cooperative Agreement was awarded through grant opportunity Cancer Target Discovery and Development (CTD2) (U01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 8/20/25
Period of Performance
9/21/22
Start Date
8/31/27
End Date
Funding Split
$3.8M
Federal Obligation
$0.0
Non-Federal Obligation
$3.8M
Total Obligated
Activity Timeline
Transaction History
Modifications to U01CA272610
Additional Detail
Award ID FAIN
U01CA272610
SAI Number
U01CA272610-3515113675
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
75NC00 NIH National Cancer Institute
Funding Office
75NC00 NIH National Cancer Institute
Awardee UEI
QHF5ZZ114M72
Awardee CAGE
3FHD3
Performance District
NY-13
Senators
Kirsten Gillibrand
Charles Schumer
Charles Schumer
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) | $1,947,348 | 100% |
Modified: 8/20/25