Program Official

Principal Investigator

Yazhen
Zhu
Awardee Organization

University Of California Los Angeles
United States

Fiscal Year
2024
Activity Code
R01
Early Stage Investigator Grants (ESI)
Not Applicable
Project End Date

Extracellular Vesicle-Based Digital Scoring Assay for Detecting Early-stage Hepatocellular Carcinoma

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 tumorderived 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 (RTddPCR) 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 immunoaffinity-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.

Publications

  • Stackpole ML, Zeng W, Li S, Liu CC, Zhou Y, He S, Yeh A, Wang Z, Sun F, Li Q, Yuan Z, Yildirim A, Chen PJ, Winograd P, Tran B, Lee YT, Li PS, Noor Z, Yokomizo M, Ahuja P, Zhu Y, Tseng HR, Tomlinson JS, Garon E, French S, Magyar CE, Dry S, Lajonchere C, Geschwind D, Choi G, Saab S, Alber F, Wong WH, Dubinett SM, Aberle DR, Agopian V, Han SB, Ni X, Li W, Zhou XJ. Cost-effective methylome sequencing of cell-free DNA for accurately detecting and locating cancer. Nature communications. 2022 Sep 29;13(1):5566. PMID: 36175411
  • Sun N, Zhang C, Lee YT, Tran BV, Wang J, Kim H, Lee J, Zhang RY, Wang JJ, Hu J, Zhang Z, Alsudaney MS, Hou KC, Tang H, Zhang TX, Liang IY, Zhou Z, Chen M, Yeh AH, Li W, Zhou XJ, Chang HR, Han SB, Sadeghi S, Finn RS, Saab S, Busuttil RW, Noureddin M, Ayoub WS, Kuo A, Sundaram V, Al-Ghaieb B, Palomique J, Kosari K, Kim IK, Todo T, Nissen NN, Tomasi ML, You S, Posadas EM, Wu JX, Wadehra M, Sim MS, Li Y, Wang HL, French SW, Lu SC, Wu L, Pei R, Liang L, Yang JD, Agopian VG, Tseng HR, Zhu Y. HCC EV ECG score: An extracellular vesicle-based protein assay for detection of early-stage hepatocellular carcinoma. Hepatology (Baltimore, Md.). 2023 Mar 1;77(3):774-788. Epub 2023 Feb 17. PMID: 35908246