Literature DB >> 23266295

The role of proteomics in prostate cancer research: biomarker discovery and validation.

Elisa Pin1, Claudia Fredolini, Emanuel F Petricoin.   

Abstract

PURPOSE: Prostate Cancer (PCa) represents the second most frequent type of tumor in men worldwide. Incidence increases with patient age and represents the most important risk factor. PCa is mostly characterized by indolence, however in a small percentage of cases (3%) the disease progresses to a metastatic state. To date, the most important issue concerning PCa research is the difficulty in distinguishing indolent from aggressive disease. This problem frequently results in low-grade PCa patient overtreatment and, in parallel; an effective treatment for distant and aggressive disease is not yet available. RESULT: Proteomics represents a promising approach for the discovery of new biomarkers able to improve the management of PCa patients. Markers more specific and sensitive than PSA are needed for PCa diagnosis, prognosis and response to treatment. Moreover, proteomics could represent an important tool to identify new molecular targets for PCa tailored therapy. Several possible PCa biomarkers sources, each with advantages and limitations, are under investigation, including tissues, urine, serum, plasma and prostatic fluids. Innovative high-throughput proteomic platforms are now identifying and quantifying new specific and sensitive biomarkers for PCa detection, stratification and treatment. Nevertheless, many putative biomarkers are still far from being applied in clinical practice.
CONCLUSIONS: This review aims to discuss the recent advances in PCa proteomics, emphasizing biomarker discovery and their application to clinical utility for diagnosis and patient stratification.
Copyright © 2012 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23266295     DOI: 10.1016/j.clinbiochem.2012.12.012

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  28 in total

1.  Bayesian proteoform modeling improves protein quantification of global proteomic measurements.

Authors:  Bobbie-Jo M Webb-Robertson; Melissa M Matzke; Susmita Datta; Samuel H Payne; Jiyun Kang; Lisa M Bramer; Carrie D Nicora; Anil K Shukla; Thomas O Metz; Karin D Rodland; Richard D Smith; Mark F Tardiff; Jason E McDermott; Joel G Pounds; Katrina M Waters
Journal:  Mol Cell Proteomics       Date:  2014-12       Impact factor: 5.911

2.  Precision medicine and molecular imaging: new targeted approaches toward cancer therapeutic and diagnosis.

Authors:  Mojtaba Ghasemi; Iraj Nabipour; Abdolmajid Omrani; Zeinab Alipour; Majid Assadi
Journal:  Am J Nucl Med Mol Imaging       Date:  2016-11-30

3.  Peptide serum markers in islet autoantibody-positive children.

Authors:  Christine von Toerne; Michael Laimighofer; Peter Achenbach; Andreas Beyerlein; Tonia de Las Heras Gala; Jan Krumsiek; Fabian J Theis; Anette G Ziegler; Stefanie M Hauck
Journal:  Diabetologia       Date:  2016-11-04       Impact factor: 10.122

4.  Hyaluronic acid and hyaluronidase as possible novel urine biomarkers for the diagnosis of prostate cancer.

Authors:  Ioannis Skarmoutsos; Athanasios Skarmoutsos; Ioannis Katafigiotis; Elisavet Tataki; Athina Giagini; Ioannis Adamakis; Christos Alamanis; Mordechai Duvdevani; Nikolaos Sitaras; Constantinos Constantinides
Journal:  Med Oncol       Date:  2018-05-25       Impact factor: 3.064

5.  Multiplexed Targeted Mass Spectrometry-Based Assays for the Quantification of N-Linked Glycosite-Containing Peptides in Serum.

Authors:  Stefani N Thomas; Robert Harlan; Jing Chen; Paul Aiyetan; Yansheng Liu; Lori J Sokoll; Ruedi Aebersold; Daniel W Chan; Hui Zhang
Journal:  Anal Chem       Date:  2015-10-21       Impact factor: 6.986

6.  Anti-metastatic effect of ranolazine in an in vivo rat model of prostate cancer, and expression of voltage-gated sodium channel protein in human prostate.

Authors:  Ilknur Bugan; Selma Kucuk; Zeynep Karagoz; Scott P Fraser; Handan Kaya; Andrew Dodson; Christopher S Foster; Seyhan Altun; Mustafa B A Djamgoz
Journal:  Prostate Cancer Prostatic Dis       Date:  2019-03-20       Impact factor: 5.554

Review 7.  Sarcosine as a potential prostate cancer biomarker--a review.

Authors:  Natalia Cernei; Zbynek Heger; Jaromir Gumulec; Ondrej Zitka; Michal Masarik; Petr Babula; Tomas Eckschlager; Marie Stiborova; Rene Kizek; Vojtech Adam
Journal:  Int J Mol Sci       Date:  2013-07-04       Impact factor: 5.923

Review 8.  Mass Spectrometry-Based Glycoproteomics and Prostate Cancer.

Authors:  Caterina Gabriele; Licia E Prestagiacomo; Giovanni Cuda; Marco Gaspari
Journal:  Int J Mol Sci       Date:  2021-05-14       Impact factor: 5.923

Review 9.  Proteomic approaches in biomarker discovery: new perspectives in cancer diagnostics.

Authors:  Petra Hudler; Nina Kocevar; Radovan Komel
Journal:  ScientificWorldJournal       Date:  2014-01-14

10.  Detecting Novel Urine Biomarkers for the Early Diagnosis of Prostate Cancer: Platelet Derived Growth Factor-BB as a Possible New Target.

Authors:  Athanasios Skarmoutsos; Ioannis Skarmoutsos; Ioannis Katafigiotis; Elisavet Tataki; Athina Giagini; Christos Alamanis; Ioannis Anastasiou; Anastasios Angelou; Mordechai Duvdevani; Nikolaos Sitaras; Constantinos Constantinides
Journal:  Curr Urol       Date:  2018-06-30
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