scholarly journals Use of multiple biomarkers for a molecular diagnosis of prostate cancer

2005 ◽  
Vol 114 (6) ◽  
pp. 950-956 ◽  
Author(s):  
Kelly A. Landers ◽  
Michelle J. Burger ◽  
Michelle A. Tebay ◽  
David M. Purdie ◽  
Betty Scells ◽  
...  
2006 ◽  
Vol 175 (4S) ◽  
pp. 485-486
Author(s):  
Sabarinath B. Nair ◽  
Christodoulos Pipinikas ◽  
Roger Kirby ◽  
Nick Carter ◽  
Christiane Fenske

2007 ◽  
Vol 20 (4) ◽  
pp. 467-473 ◽  
Author(s):  
Jacques Lapointe ◽  
Young H Kim ◽  
Melinda A Miller ◽  
Chunde Li ◽  
Gulsah Kaygusuz ◽  
...  

Author(s):  
Zhi Liu ◽  
Christhunesa Christudass ◽  
Hui Zhang ◽  
Joon-Yong Chung ◽  
Stephen Hewitt ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Jane Politi ◽  
Silvia Zappavigna ◽  
Ilaria Rea ◽  
Paolo Grieco ◽  
Alessandro Caliò ◽  
...  

The development of simple, rapid, and low cost methods for early detection, identification, and measurement of multiple biomarkers remains a challenge to improve diagnosis, treatment monitoring, and prognosis of cancer. Biosensing technology, combining the properties of biological systems with functional advanced materials, guarantees rapid, reproducible, and highly sensitive cell detection. In this study, we developed silicon-based biochips for prostate cancer PC3 cells detection by using cytokeratin 8/18 and Urotensin Receptor (UTR) as markers in order to obtain a biochip-based diagnostic system. Spectroscopic ellipsometry and fluorescence microscopy were used to characterize surface homogeneity and chemical properties. Cell detection was investigated by optical microscopy. Moreover, synthetic fluorescently labeled peptides were prepared and used for developing faster and lower-cost identification assay compared with classic ELISA immunoassay. Results showed an effective immobilization of PC3 cells on silicon surface and the specific recognition of these cells by fluorescent Urotensin II (4–11). In conclusion, this strategy could be really useful as diagnostic system for prostate cancer.


2004 ◽  
Vol 5 (3) ◽  
pp. 203-211 ◽  
Author(s):  
Eduardo I. Canto ◽  
Shahrokh F. Shariat ◽  
Kevin M. Slawin

Author(s):  
Maciej Salagierski ◽  
Robert Grégoire ◽  
Marek Sosnowski ◽  
Jack A. Schalken

2014 ◽  
Vol 6 (3) ◽  
pp. 123
Author(s):  
Anna Meiliana ◽  
Andi Wijaya

BACKGROUND: Prostate cancer (PCa) was the second most common type of cancer and the fifth leading cause of cancer-related death in men. The great challenge for physicians is being able to accurately predict PCa prognosis and treatment response in order to reduce PCa-specific mortality while avoiding overtreatment by identifying of when to intervene, and in which patients.CONTENT: Currently, PCa prognosis and treatment decision of PCa involved digital rectal examination, Prostate-Speciic Antigens (PSA), and subsequent biopsies for histopathological staging, known as Gleason score. However, each procedure has its shortcomings. Efforts to find a better clinically meaningful and non-invasive biomarkers still developed involving proteins, circulating tumor cells, nucleic acids, and the ‘omics' approaches.SUMMARY: Biomarkers for PCa will most likely be an assay employing multiple biomarkers in combination using protein and gene microarrays, containing markers that are differentially expressed in PCa.KEYWORDS: prostate cancer, PSA, biomarkers, nomograms, miRNA, proteomic, genomic, metabolomic


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