Lipid nanoprobe integrated microdevice for extracellular vesicle isolation and duplex sequencing based mutation detection for non-invasive lung cancer diagnosis

Information

  • Research Project
  • 10248377
  • ApplicationId
    10248377
  • Core Project Number
    R01CA230339
  • Full Project Number
    5R01CA230339-04
  • Serial Number
    230339
  • FOA Number
    PA-16-160
  • Sub Project Id
  • Project Start Date
    8/6/2018 - 5 years ago
  • Project End Date
    7/31/2024 - 3 months from now
  • Program Officer Name
    OSSANDON, MIGUEL
  • Budget Start Date
    8/1/2021 - 2 years ago
  • Budget End Date
    7/31/2022 - a year ago
  • Fiscal Year
    2021
  • Support Year
    04
  • Suffix
  • Award Notice Date
    8/30/2021 - 2 years ago

Lipid nanoprobe integrated microdevice for extracellular vesicle isolation and duplex sequencing based mutation detection for non-invasive lung cancer diagnosis

PROJECT SUMMARY In this proposed research, we will develop a lipid nanoprobe (LNP) integrated microdevice, LiEVchip, for isolation of extracellular vesicles (EVs) from blood plasma of patients with non-small cell lung cancer (NSCLC). The proposed LiEVchip features high-throughput sample processing, one-step enrichment, and low cost. It is expected to isolate EVs from 1 ml of unprocessed plasma in 20 minutes with over 80% isolation efficiency. Furthermore, combination with duplex sequencing based ultrasensitive DNA mutation detection platform, the LiEVchip will significantly prompt EV-based cancer diagnostics in an invasive way. In our previous study, we developed a two-component LNP system for rapid EV isolation and comprehensively EV molecular analyses. Particularly, we successfully identified EV DNA mutations from four patients with advanced NSCLC. The LNP system overcomes low throughput, low purity and other common shortcomings in EV isolation, showing great potential for clinical use. Hence, we proposed to develop a highly integrated one- component LiEVchip for rapid and efficient EV isolation. Firstly, we will design and fabricate the proposed LiEVchip. The LiEVchip integrates the LNP to capture EVs based on their lipid membrane envelope. The EV isolation efficiency is boosted by the design of microchannel curvature to enhance flow-surface interaction by Dean flow, and the empowerment of electrokinetic enhanced EV isolation by the nanoelectrode array. Then, we will optimize its operational parameters to make a balance between EV isolation efficiency and purity. After comprehensive optimization, we will rigorously validate its performance with spike samples by analyzing EV content, including RNA, DNA, and proteins, and compare with those isolated by the prevalent EV isolation method, OptiPrep density gradient ultracentrifugation (odgUC). Subsequently, we will develop duplex sequencing based DNA mutation detection method with 3rd generation high-throughput sequencer (PacBio). The detection sensitivity of point/deletion mutations and complex structural variations (SVs) will be validated with spiked-in samples. Finally, in a cohort clinical study, we will first recruit 40 NSCLC patients at stage IV to validate the overall technology. EV from plasma will be isolated with LiEVchip, and a panel of 20 most common NSCLC mutated genes will be assayed simultaneously by duplex sequencing. We will further perform EV isolation and duplex sequencing in the additional 120 samples covering stage I-III NSCLC to investigate the potential of this technology in early NSCLC diagnosis. Besides, we will use the developed technology to monitor mutation status of 20 NSCLC patients undergoing targeted therapy to explore its clinical utility in treatment monitoring. The cohort clinical studies not only can testify whether LiEVchp combined with duplex sequencing can be routinely applied to detect diverse malignancies in NSCLC, but also can demonstrate the clinical diagnostic values of EV DNA. Altogether, the successful completion of this proposed project will pave the way for clinical translation of EV diagnostics.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R01
  • Administering IC
    CA
  • Application Type
    5
  • Direct Cost Amount
    8778
  • Indirect Cost Amount
    4986
  • Total Cost
    13764
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    394
  • Ed Inst. Type
    BIOMED ENGR/COL ENGR/ENGR STA
  • Funding ICs
    NCI:13764\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    EBIT
  • Study Section Name
    Enabling Bioanalytical and Imaging Technologies Study Section
  • Organization Name
    CARNEGIE-MELLON UNIVERSITY
  • Organization Department
    BIOMEDICAL ENGINEERING
  • Organization DUNS
    052184116
  • Organization City
    PITTSBURGH
  • Organization State
    PA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    152133815
  • Organization District
    UNITED STATES