(PQA4) Point-of-Care Test of Exposure to Hepatocellular Carcinoma Risk by V-Chip Underlying mechanisms for synergisms of HCC risks may provide efficient and accurate HCC prevention strategies for high-risk individuals. People exposed to environmental or life-style risk factors simultaneously exhibit the increased incidence of HCC development. However, most of the burden of HCC is associated with the group of people with low income, with the highest incidence rates reported in regions where infection with hepatitis B virus (HBV) is endemic. Therefore, developing an accurate, quantitative, and also low-cost technology for the rapid detection of biomarkers is required for HCC risk assessment. Herein, we propose an ELISA-based new technology platform, the multiplexed volumetric bar-chart chip (V- Chip), to detect biomarkers in blood samples. The proposed V-Chip is based on microfluidics technology. The integrated volumetric readouts, based on measurements of oxygen generated by a reaction between catalase and hydrogen peroxide, allow rapid ELISA quantitation of biomarkers and provide visualized bar charts on V- Chip without any assistance from instruments, data processing, or graphic plotting. The accuracy of the V-Chip will be validated in HCC cases and controls using standard ELISA assay. Based on epidemiological risk factors and biomarkers on V-chip, we will develop a risk prediction model to predict a person's probability of developing HCC in the next 5 and 10 years based on current risk profiles as well as risk reduction if the patient's modifiable risk factors change. This risks prediction V chip is particularly suitable for the application in resource-limited areas with higher HCC incidence. Patients can use V-Chip in home and personally monitor cirrhosis or HBV/HCV development by themselves, which may bring potential HCC patients to hospital and professionals earlier and thus greatly reduced the costs and risks of HCC.

Public Health Relevance

(PQA4) Point-of-Care Test of Exposure to Hepatocellular Carcinoma Risk by V-Chip Underlying mechanisms for synergisms of HCC risks may provide efficient and accurate HCC prevention strategies for high-risk individuals. People exposed to several risk factors simultaneously exhibit synergistically increased risks of HCC development. As hepatitis virus infections, especially hepatitis B virus (HBV), are endemic in the group of people in low income, developing an accurate, quantitative, and also low-cost technology for the rapid detection of biomarkers is required for HCC risk assessment. The development of the V-Chip holds the potential to meet the technological challenges listed in the PQA4 grant mechanism.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA180083-02
Application #
8732616
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Rinaudo, Jo Ann S
Project Start
2013-09-10
Project End
2017-06-30
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
2
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Methodist Hospital Research Institute
Department
Type
DUNS #
City
Houston
State
TX
Country
United States
Zip Code
77030
Tu, Huakang; Wen, Chi Pang; Tsai, Shan Pou et al. (2018) Cancer risk associated with chronic diseases and disease markers: prospective cohort study. BMJ 360:k134
Vu, Timothy Quang; de Castro, Ricardo Miguel Bessa; Qin, Lidong (2017) Bridging the gap: microfluidic devices for short and long distance cell-cell communication. Lab Chip 17:1009-1023
Liu, Zongbin; Han, Xin; Zhou, Qing et al. (2017) Integrated Microfluidic System for Gene Silencing and Cell Migration. Adv Biosyst 1:
Li, Ying; Uddayasankar, Uvaraj; He, Bangshun et al. (2017) Fast, Sensitive, and Quantitative Point-of-Care Platform for the Assessment of Drugs of Abuse in Urine, Serum, and Whole Blood. Anal Chem 89:8273-8281
Ma, Yuan; Han, Xin; Quintana Bustamante, Oscar et al. (2017) Highly efficient genome editing of human hematopoietic stem cells via a nano-silicon-blade delivery approach. Integr Biol (Camb) 9:548-554
Zhang, Kai; Gao, Min; Chong, Zechen et al. (2016) Single-cell isolation by a modular single-cell pipette for RNA-sequencing. Lab Chip 16:4742-4748
Han, Xin; Liu, Zongbin; Zhao, Li et al. (2016) Microfluidic Cell Deformability Assay for Rapid and Efficient Kinase Screening with the CRISPR-Cas9 System. Angew Chem Int Ed Engl 55:8561-5
Liu, Zongbin; Han, Xin; Qin, Lidong (2016) Recent Progress of Microfluidics in Translational Applications. Adv Healthc Mater 5:871-88
Jo, Myeong Chan; Qin, Lidong (2016) Microfluidic Platforms for Yeast-Based Aging Studies. Small 12:5787-5801
Song, Yujun; Wang, Yuzhen; Qi, Wenjin et al. (2016) Integrative volumetric bar-chart chip for rapid and quantitative point-of-care detection of myocardial infarction biomarkers. Lab Chip 16:2955-62

Showing the most recent 10 out of 27 publications