Project Summary/Abstract
Rapid and specific histopathologic diagnoses are critical for cancer treatment. Tumor tissue biopsy is routinely
performed to detect and monitor cancer progression. Current test biopsies require surgically-collected tissue
samples from detectable primary or metastatic tumors. Several difficulties, such as patient inconvenience,
multistep complicated procedure, partial samplings, and non-specific findings, make this process slow,
invasive, expensive, unfit for screening large sample sizes, and error-prone. Non-invasive selections of
biomarkers in body fluids, known as liquid biopsy, offer great promise in complementing or even substituting
surgical tissue biopsy in the diagnosis and prognosis of cancer patients. Recent studies have indicated
exosomal microRNAs (exmiRs) as promising liquid biopsy biomarkers in detecting cancer progression and
efficacy of therapy with high sensitivity and specificity. However, current technologies for ex-miR detection,
such as qRT-PCR, and microarray screening tests, require high sample volume, are expensive, slow, tedious,
requiring highly specialized skills and resources such as ultracentrifuge, expensive RNA extraction kits, etc.
Single-exosome level studies can significantly circumvent these problems. However, the few single-molecule
ex-miR quantification attempts lack amplification strategy, thus limiting their applications to resource-heavy
research settings. To address these problems, we have developed a molecular beacon-based
Transmembrane Nano-Sensor (TraNS) that inserts itself into the membrane of lipid vesicles and signals the
presence of a DNA target by an increase in fluorescence. We have successfully demonstrated the ability of the
TraNS device to spontaneously insert into the lipid membrane and sense membrane-enclosed nucleic acid
biomarkers with high specificity. In this study, we propose to (1) optimize the TraNS device to sense cancer-
specific ex-miRs from biofluids, (2) harness the transmembrane structural reconfiguration of TraNS to develop
an isothermal signal amplification method to improve the sensitivity of detection significantly, and (3) integrate
the TraNS device with our patented DNA origami-based biomarker detection array to improve the throughput,
specificity, and sensitivity of digital quantification of ex-miR stoichiometry with low sample volume. We will use
the platform’s sensitivity, specificity, and throughput on clinical samples from pancreatic cancer patients
against their healthy controls. This effort’s potential impact can help physicians and clinicians with rapid,
ultrasensitive, precise, and cost-effective cancer diagnostics without a surgical tissue biopsy.