An Integrated, Multiplex Digital PCR-Based Microfluidic System for Quantification of Two Microrna Biomarkers for Diagnosis of Ovarian Cancer

Chi Chien Huang, Chia Yu Sung, Yi Sin Chen, Keng Fu Hsu, Gwo Bin Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Extracellular vesicle (EV)-derived microRNA (miRNA) has been reported to be a novel biomarker for diagnosis of ovarian cancer (OvCa). This study reported an integrated microfluidic system to automate extraction and quantification of EV-miRNA on a single chip within 120 min. The EV capture rate was 1.8-fold higher than our previous work (45%) due to the use of anti-CD63 beads and anti-EpCAM beads. Moreover, two miRNA biomarkers (i.e. miR-21 and miR-200a) were ultaneously detected and quantified with multiplex PCR while the resulting calibration curves exhibited a high linearity without false-positive signals, which could be carried out on a digital PCR module. With this approach, a precise and specific diagnostic tool for OvCa could be feasible.

Original languageEnglish
Title of host publication35th IEEE International Conference on Micro Electro Mechanical Systems Conference, MEMS 2022
PublisherIEEE Computer Society
Pages91-94
Number of pages4
ISBN (Electronic)9781665409117
DOIs
Publication statusPublished - 2022
Event35th IEEE International Conference on Micro Electro Mechanical Systems Conference, MEMS 2022 - Tokyo, Japan
Duration: 2022 Jan 92022 Jan 13

Publication series

NameIEEE Symposium on Mass Storage Systems and Technologies
Volume2022-January
ISSN (Print)2160-1968

Conference

Conference35th IEEE International Conference on Micro Electro Mechanical Systems Conference, MEMS 2022
Country/TerritoryJapan
CityTokyo
Period22-01-0922-01-13

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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