Fractionation and Profiling of Heterogeneous Circulating Tumor Cells Using a Hyperuniform- Structured Microchip

Information

  • Research Project
  • 10025872
  • ApplicationId
    10025872
  • Core Project Number
    R21CA240185
  • Full Project Number
    1R21CA240185-01A1
  • Serial Number
    240185
  • FOA Number
    RFA-CA-19-019
  • Sub Project Id
  • Project Start Date
    8/7/2020 - 3 years ago
  • Project End Date
    7/31/2023 - 10 months ago
  • Program Officer Name
    ZAHIR, NASTARAN Z
  • Budget Start Date
    8/7/2020 - 3 years ago
  • Budget End Date
    7/31/2023 - 10 months ago
  • Fiscal Year
    2020
  • Support Year
    01
  • Suffix
    A1
  • Award Notice Date
    8/7/2020 - 3 years ago
Organizations

Fractionation and Profiling of Heterogeneous Circulating Tumor Cells Using a Hyperuniform- Structured Microchip

Title: Fractionation and Profiling of Heterogeneous Circulating Tumor Cells Using a Hyperuniform-structured Microchip Project Summary/Abstract Circulating tumor cells (CTCs) are highly heterogeneous, and specific CTC subpopulations, rather than the whole, are responsible for cancer metastasis. Current CTC technologies simply isolate all CTCs in a blood sample without resolving them into distinct subpopulations, preventing researchers from acquiring true insights into the metastatic potential of CTCs. As a consequence, correlation between CTC heterogeneity and tumor progression is largely unknown. In addition, existing CTC characterization methods often involve destructive fixation and permeabilization protocols, which limit the potential for subsequent phenotypic analysis of CTCs and other downstream applications. The goal of this proposal is to understand the metastatic potential of CTCs through effective fractionation and profiling of CTC subpopulations. I propose to isolate, in-situ identify, and selectively recover CTCs using a microchip with hyperuniform structure. Hyperuniformity (HU) is an emerging concept of a packing pattern which contains local heterogeneity or randomness and global regularity or homogeneity. My work, for the first time, will integrate the concept of hyperuniformity into affinity-based microfluidic devices for CTC isolation. I hypothesize that due to the controlled differences in local flow patterns induced by the hyperuniform structure, cell arrest in different locations on the microchip will require different adhesive strengths. Further, this adhesive strength is anticipated to be related to the types and densities of surface markers on the captured CTCs and therefore, their metastatic character. Specific aims include (1) Design and characterize HU structured microchip for CTC capture and analyze flow pattern and adhesion force in the device; (2) Capture and identify subpopulations of CTCs with variable expression of the surface marker using a HU microchip; and (3) Explore several key factors for potential incorporation of the HU microchip platform into clinical oncology settings. The HU microchip offers a simple and unique resolution for fractionation of CTCs, as its global homogeneity provides equal possibility of CTC adherence; and local heterogeneity allows simultaneous differentiation of subpopulations by analyzing adhesive strength required for individual CTCs. As a result, subpopulations of CTCs can be identified using only their capture locations on the HU chip without requiring additional post-capture immunofluorescence characterization. The most significant quantitative milestones are to achieve 80% accuracy on statistical correlation on: 1) the locations on a HU chip with strength of cell-post interaction, 2) predictions of location vs. cell type in a cancer cell mixture (PC3 and LNCaP), and 3) achieving 80% accuracy on identification of released EMT and non-EMT cells from their locations on a HU microchip, validated by immunostaining. If successfully developed, this HU microchip can be easily integrated into research laboratories to study fundamental cancer biology related to CTC heterogeneity, as well as into clinical settings to profile CTC subpopulations to assist cancer diagnosis, predict tumor progression, and monitor therapeutic efficacy.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R21
  • Administering IC
    CA
  • Application Type
    1
  • Direct Cost Amount
    374000
  • Indirect Cost Amount
    179092
  • Total Cost
    553092
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    396
  • Ed Inst. Type
    BIOMED ENGR/COL ENGR/ENGR STA
  • Funding ICs
    NCI:553092\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZCA1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    TEXAS TECH UNIVERSITY
  • Organization Department
    ENGINEERING (ALL TYPES)
  • Organization DUNS
    041367053
  • Organization City
    LUBBOCK
  • Organization State
    TX
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    794091035
  • Organization District
    UNITED STATES