Imperial College London

ProfessorCharlotteBevan

Faculty of MedicineDepartment of Surgery & Cancer

Professor of Cancer Biology
 
 
 
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Contact

 

charlotte.bevan Website

 
 
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Assistant

 

Mrs Suzy Ford +44 (0)20 7594 2135

 
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Location

 

139ICTEM buildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Broomfield:2022:10.1021/acssensors.2c01463,
author = {Broomfield, J and Kalofonou, M and Pataillot-Meakin, T and Powell, SM and Fernandes, RC and Moser, N and Bevan, CL and Georgiou, P},
doi = {10.1021/acssensors.2c01463},
journal = {ACS Sensors},
pages = {3389--3398},
title = {Detection of YAP1 and AR-V7 mRNA for prostate cancer prognosis using an ISFET lab-on-chip platform},
url = {http://dx.doi.org/10.1021/acssensors.2c01463},
volume = {7},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Prostate cancer (PCa) is the second most common cause of male cancer-related death worldwide. The gold standard of treatment for advanced PCa is androgen deprivation therapy (ADT). However, eventual failure of ADT is common and leads to lethal metastatic castration-resistant PCa. As such, the detection of relevant biomarkers in the blood for drug resistance in metastatic castration-resistant PCa patients could lead to personalized treatment options. mRNA detection is often limited by the low specificity of qPCR assays which are restricted to specialized laboratories. Here, we present a novel reverse-transcription loop-mediated isothermal amplification assay and have demonstrated its capability for sensitive detection of AR-V7 and YAP1 RNA (3 × 101 RNA copies per reaction). This work presents a foundation for the detection of circulating mRNA in PCa on a non-invasive lab-on-chip device for use at the point-of-care. This technique was implemented onto a lab-on-chip platform integrating an array of chemical sensors (ion-sensitive field-effect transistors) for real-time detection of RNA. Detection of RNA presence was achieved through the translation of chemical signals into electrical readouts. Validation of this technique was conducted with rapid detection (<15 min) of extracted RNA from prostate cancer cell lines 22Rv1s and DU145s.
AU - Broomfield,J
AU - Kalofonou,M
AU - Pataillot-Meakin,T
AU - Powell,SM
AU - Fernandes,RC
AU - Moser,N
AU - Bevan,CL
AU - Georgiou,P
DO - 10.1021/acssensors.2c01463
EP - 3398
PY - 2022///
SN - 2379-3694
SP - 3389
TI - Detection of YAP1 and AR-V7 mRNA for prostate cancer prognosis using an ISFET lab-on-chip platform
T2 - ACS Sensors
UR - http://dx.doi.org/10.1021/acssensors.2c01463
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000885525100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://pubs.acs.org/doi/10.1021/acssensors.2c01463
UR - http://hdl.handle.net/10044/1/100966
VL - 7
ER -