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Volatiloma urinário para o diagnóstico do cancro da próstata

The lack of a sensitive and specific biomarker for early detection of prostate cancer (PCa) is a major obstacle to the effective treatment of these patients. This study aimed to study the volatile urinary metabolic profile of PCa patients (n=58) and control individuals (cancer-free, n=60), to identify a potential panel of biomarkers for non-invasive PCa detection. The results obtained revealed a panel of biomarkers with 6 volatile compounds, which was able to identify this type of cancer with a sensitivity, specificity and accuracy of 89%, 83% and 86%, respectively.

Volatiloma urinário para o diagnóstico do cancro da próstata

A falta de um biomarcardor sensível e específico para a deteção precoce do cancro da próstata constitui um obstáculo ao tratamento eficaz destes doentes. Este trabalho pretendeu estudar o perfil metabólico volátil de urinas de doentes com cancro da próstata (n=58) e de indivíduos controlo (sem cancro, n=60), com o objetivo de identificar um potencial painel de biomarcadores para a deteção não invasiva do cancro da próstata.

Tracking Cancer: Detection and Monitoring, from Diagnosis to Therapy

CosmoCaixa Science Museum, Barcelona, Spain

 

04-06 February, 2018

 

See more informations here: https://www.eacr.org/conference/trackingcancers2019

Tracking Cancer: Detection and Monitoring, from Diagnosis to Therapy

CosmoCaixa Science Museum, Barcelona, Spain

 

04-06 February, 2018

 

See more informations here: https://www.eacr.org/conference/trackingcancers2019

Supramolecular nanoscale assemblies for cancer diagnosis and therapy

Authors and Affiliations:

Sílvia Castro Coelho1, Maria Carmo Pereira1, Asta Juzeniene2, Petras Juzenas2, Manuel Álvaro Coelho1

 1 LEPABE, Department of Chemical Engineering, Faculty of Engineering, University of Porto, Rua Roberto Frias, PT-4200-465 Porto, Portugal

2 Department of Radiation Biology, Institute for Cancer Research, Radiumhospital, Oslo University Hospital, NO-0310 Oslo, Norway

 

Abstract: