512 A PROSTATE CANCER DIAGNOSTIC TOOL BASED ON HIGH-THROUGHPUT MS SERUM PROTEIN PROFILES

2007 ◽  
Vol 6 (2) ◽  
pp. 150
Author(s):  
A.E. Pelzer ◽  
I. Feuerstein ◽  
S. Ongarello ◽  
C. Fuchsberger ◽  
E. Steiner ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Serum Protein ◽  
High Throughput ◽  
Diagnostic Tool ◽  
Protein Profiles ◽  
Cancer Diagnostic

Serum pharmacoproteomics of erlotinib-treated advanced prostate cancer patients: A SELDI-TOF mass spectrometry analysis

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 14603-14603
Author(s):  
A. Gonçalves ◽  
B. Taylor ◽  
Y. Toiron ◽  
B. Esterni ◽  
N. Salem ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Mass Spectrometry ◽  
Cancer Patients ◽  
Serum Protein ◽  
Advanced Prostate Cancer ◽  
Protein Profiling ◽  
Mass Spectrometry Analysis ◽  
Protein Profiles ◽  
Protein Biomarkers ◽  
Tof Ms

14603 Background: EGFR (Epidermal Growth Factor Receptor) is a promising target in various epithelial cancers. Erlotinib is an orally active small molecule tyrosine kinase inhibitor (TKI) targeting EGFR, under evaluation in prostate cancer. To identify protein biomarkers associated with EGFR TKI treatment we performed serum protein profiling in advanced prostate cancer patients receiving erlotinib, using Surface Enhanced Laser Desorption/Ionization-Time of Flight Mass Spectrometry (SELDI-TOF MS). Method: Serums from 23 advanced or metastatic prostate cancer patients enrolled in a phase II study of erlotinib as single agent were collected before treatment, on D28 and D56 and kept frozen in liquid nitrogen until analysis. Serum samples from each patients and each time points were first urea treated and then incubated with 3 different ProteinChip arrays (Ciphergen Biosystems): IMAC-Cu, CM10 and H50 using a fully automated platform (Tecan). After adding SPA matrix, arrays were analysed using a PBSIIc ProteinChip reader (Ciphergen Biosystems). After noise reduction, baseline substraction, and data normalisation, protein peaks were detected using the Biomarker Wizard tool integrated to the ProteinChip Software 3.1. Numeric data were then exported to excel files that were used for further biostatistic processing. Results: Combining protein profiles resolved from each experimental condition, several hundreds of protein peaks were obtained. Protein profiles from untreated and D28 and D56-treated patients were compared using non-parametric statistical methods and several protein peaks appeared differentially expressed between pre and post-treatment samples. Supervised methods identified protein peaks correlating with specific erlotinib toxicity on day 28. Since only minimal activity was noted in this trial, no protein profile correlating with anti-tumor effect was identified. Purification and identification of proteins modulated by treatment and associated with toxicity are ongoing. Conclusion: Serum protein profiling using SELDI-TOF MS is a promising method to characterize pharmacoproteomics of innovative compounds under development and to identify protein biomarkers potentially associated with drug effects. No significant financial relationships to disclose.

154: Integration of TPSA and High-Throughput Mass Spectrometry Data Improves Prostate Cancer Prediction

2007 ◽  
Vol 177 (4S) ◽  
pp. 52-53
Author(s):  
Stefano Ongarello ◽  
Eberhard Steiner ◽  
Regina Achleitner ◽  
Isabel Feuerstein ◽  
Birgit Stenzel ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Mass Spectrometry ◽  
High Throughput ◽  
Mass Spectrometry Data ◽  
Cancer Prediction

scholarly journals A Meta-Analysis of the Accuracy of Prostate Cancer Studies Which Use Magnetic Resonance Spectroscopy as a Diagnostic Tool

2008 ◽  
Vol 9 (5) ◽  
pp. 432 ◽  
Author(s):  
Peng Wang ◽  
You-min Guo ◽  
Min Liu ◽  
Yong-qian Qiang ◽  
Xiao-juan Guo ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Diagnostic Tool ◽  
Meta Analysis ◽  
Resonance Spectroscopy ◽  
Cancer Studies

Using Serum Protein Profiles for Diagnosis

2002 ◽  
Vol 24 (9) ◽  
pp. 41
Author(s):  
&NA;
Keyword(s):  
Serum Protein ◽  
Protein Profiles

Computer-aided diagnostic tool for early detection of prostate cancer

2016 ◽  
Author(s):  
Islam Reda ◽  
Ahmed Shalaby ◽  
Fahmi Khalifa ◽  
Mohammed Elmogy ◽  
Ahmed Aboulfotouh ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Early Detection ◽  
Diagnostic Tool ◽  
Computer Aided

scholarly journals Hydrogel-based hybridization chain reaction (HCR) for detection of urinary exosomal miRNAs as a diagnostic tool of prostate cancer

2021 ◽  
pp. 113504
Author(s):  
Junbeom Kim ◽  
Ji Sung Shim ◽  
Bo Hoon Han ◽  
Hye Jin Kim ◽  
Jaesung Park ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diagnostic Tool ◽  
Hybridization Chain Reaction ◽  
Chain Reaction ◽  
Exosomal Mirnas
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