R01CA255727
Project Grant
Overview
Grant Description
Extracellular Vesicle-Based Digital Scoring Assay for Detecting Early-Stage Hepatocellular Carcinoma - Project Summary
Extracellular vesicles (EVs) are a heterogeneous group of phospholipid bilayer-enclosed particles that are released by all types of cells, and even more so by tumor cells. Since the biomolecular cargoes of tumor-derived EVs mirror those of the parental tumor cells, characterizing tumor-derived EVs and profiling their cargo are expected to be of substantial diagnostic value.
Hepatocellular carcinoma (HCC), the fourth most common cause of cancer-related deaths worldwide, most often develops in patients with underlying liver cirrhosis secondary to alcoholic liver disease (ALD), nonalcoholic fatty liver disease (NAFLD), or hepatitis B/C infections. Cirrhosis from any cause is a well-established risk factor for HCC; however, current surveillance regimens with abdominal imaging and serum biomarkers (e.g., AFP) have poor sensitivity for diagnosing HCC at an early stage, when it is potentially curable. Therefore, biomarkers that sensitively distinguish early-stage HCC from at-risk liver cirrhosis are desperately needed.
Exploring the diagnostic potential of HCC EVs and EV cargo profiling for detecting early-stage HCC holds great promise to significantly augment the ability of current diagnostic modalities. We propose an HCC EV digital scoring assay for detecting early-stage HCC, which couples two very powerful technologies: EV Click Chip for purification of HCC EVs and reverse-transcription droplet digital PCR (RT-ddPCR) for EV cargo profiling.
One of the major challenges emerging in the field of EV utilization for clinical use is the lack of robust and reproducible methods for the isolation of a pure tumor-derived EV population. Conventional methods for isolating EVs, such as ultracentrifugation, filtration, and precipitation, are incapable of discriminating tumor-derived EVs from non-tumor-derived EVs. New research efforts have been devoted to exploring immunaffinity-based capture techniques for enriching tumor-derived EVs in different solid tumors. However, there are challenges identified for the single antibody-mediated tumor-derived EV enriching approaches, such as limited sensitivity/specificity and a need for multiple capture antibodies to overcome the tumor heterogeneity.
The EV Click Chips can address these concerns with a 2-step covalent chemistry-based tumor-derived EV purification (click chemistry-mediated EV capture/disulfide cleavage-driven EV release) instead of antibody-mediated EV capture. The purified HCC EVs can then be characterized by quantifying a panel of 20 HCC-specific mRNA markers by incorporating RT-ddPCR technology.
The proposed research will conduct:
I) An exploratory development and optimization of the two functional components (i.e., EV Click Chip and RT-ddPCR) and analytically validate the proposed HCC EV digital scoring assay, and
II) An evaluation of the diagnostic performance of the proposed HCC EV digital scoring assay for detecting early-stage HCC using training and validation cohorts.
The long-term goal of this R01 proposal is to develop, optimize, and validate the proposed HCC EV digital scoring assay for detecting early-stage HCC from at-risk liver cirrhotic patients.
Extracellular vesicles (EVs) are a heterogeneous group of phospholipid bilayer-enclosed particles that are released by all types of cells, and even more so by tumor cells. Since the biomolecular cargoes of tumor-derived EVs mirror those of the parental tumor cells, characterizing tumor-derived EVs and profiling their cargo are expected to be of substantial diagnostic value.
Hepatocellular carcinoma (HCC), the fourth most common cause of cancer-related deaths worldwide, most often develops in patients with underlying liver cirrhosis secondary to alcoholic liver disease (ALD), nonalcoholic fatty liver disease (NAFLD), or hepatitis B/C infections. Cirrhosis from any cause is a well-established risk factor for HCC; however, current surveillance regimens with abdominal imaging and serum biomarkers (e.g., AFP) have poor sensitivity for diagnosing HCC at an early stage, when it is potentially curable. Therefore, biomarkers that sensitively distinguish early-stage HCC from at-risk liver cirrhosis are desperately needed.
Exploring the diagnostic potential of HCC EVs and EV cargo profiling for detecting early-stage HCC holds great promise to significantly augment the ability of current diagnostic modalities. We propose an HCC EV digital scoring assay for detecting early-stage HCC, which couples two very powerful technologies: EV Click Chip for purification of HCC EVs and reverse-transcription droplet digital PCR (RT-ddPCR) for EV cargo profiling.
One of the major challenges emerging in the field of EV utilization for clinical use is the lack of robust and reproducible methods for the isolation of a pure tumor-derived EV population. Conventional methods for isolating EVs, such as ultracentrifugation, filtration, and precipitation, are incapable of discriminating tumor-derived EVs from non-tumor-derived EVs. New research efforts have been devoted to exploring immunaffinity-based capture techniques for enriching tumor-derived EVs in different solid tumors. However, there are challenges identified for the single antibody-mediated tumor-derived EV enriching approaches, such as limited sensitivity/specificity and a need for multiple capture antibodies to overcome the tumor heterogeneity.
The EV Click Chips can address these concerns with a 2-step covalent chemistry-based tumor-derived EV purification (click chemistry-mediated EV capture/disulfide cleavage-driven EV release) instead of antibody-mediated EV capture. The purified HCC EVs can then be characterized by quantifying a panel of 20 HCC-specific mRNA markers by incorporating RT-ddPCR technology.
The proposed research will conduct:
I) An exploratory development and optimization of the two functional components (i.e., EV Click Chip and RT-ddPCR) and analytically validate the proposed HCC EV digital scoring assay, and
II) An evaluation of the diagnostic performance of the proposed HCC EV digital scoring assay for detecting early-stage HCC using training and validation cohorts.
The long-term goal of this R01 proposal is to develop, optimize, and validate the proposed HCC EV digital scoring assay for detecting early-stage HCC from at-risk liver cirrhotic patients.
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
California
United States
Geographic Scope
State-Wide
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 385% from $659,686 to $3,197,232.
Los Angeles University Of California was awarded
Early-Stage Hepatocellular Carcinoma Detection with EV Digital Scoring Assay
Project Grant R01CA255727
worth $3,197,232
from National Cancer Institute in January 2021 with work to be completed primarily in California 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 Program to Assess the Rigor and Reproducibility of Extracellular Vesicle-Derived Analytes for Cancer Detection (R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 7/21/25
Period of Performance
1/18/21
Start Date
12/31/25
End Date
Funding Split
$3.2M
Federal Obligation
$0.0
Non-Federal Obligation
$3.2M
Total Obligated
Activity Timeline
Transaction History
Modifications to R01CA255727
Additional Detail
Award ID FAIN
R01CA255727
SAI Number
R01CA255727-3836887648
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
RN64EPNH8JC6
Awardee CAGE
4B557
Performance District
CA-90
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
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) | $1,278,458 | 100% |
Modified: 7/21/25