Development and characterization of molecularly imprinted polymer-based sensor for biomarker detection

• Grant number: 14/50792-3
• Support Opportunities: Regular Research Grants
• Start date: May 01, 2015
• End date: April 30, 2016
• Field of knowledge: Physical Sciences and Mathematics - Chemistry - Analytical Chemistry
• Agreement: University of Surrey
• Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
• Principal Investigator: Thiago Regis Longo Cesar da Paixão
• Grantee: Thiago Regis Longo Cesar da Paixão
• Principal researcher abroad: Subrayal Medapati Reddy
• Institution abroad: University of Surrey, England
• Host Institution: Instituto de Química (IQ). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 12/12106-5 - Development of intelligent devices (electronic noses and tongues) using electrochemical, colorimetric and mass measurements aiming to the discrimination of forensic and food samples, AP.R

Abstract

Prostate cancer (PC) is the most frequently diagnosed male cancer in the world and this type of cancer is the second most common cause of death among males. Men diagnosed with prostate cancer survive longer earlier the disease is diagnosed. A summary of survival from prostate cancer showed that whilst the 5-year survival was about 80%, this varied significantly by stage; with men with metastatic disease at diagnosis having a 5-year survival of around 30%. Prostate specific antigen (PSA) has been used as a serum based marker for prostate cancer monitoring since the 1980's, but lack of specificity and sensitivity have meant its use as a screening tool in the general population is controversial, and not currently recommended in either UK. In this proposal, Dr. Paixão's group and Dr. Reddy's group will jointly develop a molecularly imprinted polymer -based device for monitoring EN2. EN2 is a member of the HOX gene family, a subgroup of the homeobox superfamily important in embryonal development. EN2 expression has been described in breast cancer and PC. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

BUENO, LIGIA; COTTELL, ALISON; REDDY, SUBRAYAL M.; PAIXAO, THIAGO R. L. C.. Coupling dye-integrated polymeric membranes with smartphone detection to classify bacteria. RSC ADVANCES, v. 5, n. 119, p. 97962-97965, 2015. (14/50792-3, 11/23355-3)