Literature DB >> 34453155

Proteomic discovery of non-invasive biomarkers of localized prostate cancer using mass spectrometry.

Amanda Khoo1,2, Lydia Y Liu1,2,3,4,5, Julius O Nyalwidhe6,7, O John Semmes6,7, Danny Vesprini8,9, Michelle R Downes10, Paul C Boutros11,12,13,14,15,16,17, Stanley K Liu18,19,20, Thomas Kislinger21,22.   

Abstract

Prostate cancer is the second most frequently diagnosed non-skin cancer in men worldwide. Patient outcomes are remarkably heterogeneous and the best existing clinical prognostic tools such as International Society of Urological Pathology Grade Group, pretreatment serum PSA concentration and T-category, do not accurately predict disease outcome for individual patients. Thus, patients newly diagnosed with prostate cancer are often overtreated or undertreated, reducing quality of life and increasing disease-specific mortality. Biomarkers that can improve the risk stratification of these patients are, therefore, urgently needed. The ideal biomarker in this setting will be non-invasive and affordable, enabling longitudinal evaluation of disease status. Prostatic secretions, urine and blood can be sources of biomarker discovery, validation and clinical implementation, and mass spectrometry can be used to detect and quantify proteins in these fluids. Protein biomarkers currently in use for diagnosis, prognosis and relapse-monitoring of localized prostate cancer in fluids remain centred around PSA and its variants, and opportunities exist for clinically validating novel and complimentary candidate protein biomarkers and deploying them into the clinic.
© 2021. Springer Nature Limited.

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Year:  2021        PMID: 34453155      PMCID: PMC8639658          DOI: 10.1038/s41585-021-00500-1

Source DB:  PubMed          Journal:  Nat Rev Urol        ISSN: 1759-4812            Impact factor:   14.432


  181 in total

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Authors:  Alexander Leitner
Journal:  Methods Mol Biol       Date:  2016

2.  Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations.

Authors:  Joshua E Elias; Wilhelm Haas; Brendan K Faherty; Steven P Gygi
Journal:  Nat Methods       Date:  2005-09       Impact factor: 28.547

3.  Overall Survival of Black and White Men With Metastatic Castration-Resistant Prostate Cancer Treated With Docetaxel.

Authors:  Susan Halabi; Sandipan Dutta; Catherine M Tangen; Mark Rosenthal; Daniel P Petrylak; Ian M Thompson; Kim N Chi; John C Araujo; Christopher Logothetis; David I Quinn; Karim Fizazi; Michael J Morris; Mario A Eisenberger; Daniel J George; Johann S De Bono; Celestia S Higano; Ian F Tannock; Eric J Small; William Kevin Kelly
Journal:  J Clin Oncol       Date:  2018-12-21       Impact factor: 44.544

4.  A transgenic mouse prostate cancer model.

Authors:  J R Gingrich; N M Greenberg
Journal:  Toxicol Pathol       Date:  1996 Jul-Aug       Impact factor: 1.902

5.  Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.

Authors:  Justin M Drake; Evan O Paull; Nicholas A Graham; John K Lee; Bryan A Smith; Bjoern Titz; Tanya Stoyanova; Claire M Faltermeier; Vladislav Uzunangelov; Daniel E Carlin; Daniel Teo Fleming; Christopher K Wong; Yulia Newton; Sud Sudha; Ajay A Vashisht; Jiaoti Huang; James A Wohlschlegel; Thomas G Graeber; Owen N Witte; Joshua M Stuart
Journal:  Cell       Date:  2016-08-04       Impact factor: 41.582

6.  OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data.

Authors:  Hannes L Röst; George Rosenberger; Pedro Navarro; Ludovic Gillet; Saša M Miladinović; Olga T Schubert; Witold Wolski; Ben C Collins; Johan Malmström; Lars Malmström; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

Review 7.  Modeling prostate cancer in mice: limitations and opportunities.

Authors:  Patrick J Hensley; Natasha Kyprianou
Journal:  J Androl       Date:  2011-06-16

8.  The cost-effectiveness of immunohistochemistry.

Authors:  S S Raab
Journal:  Arch Pathol Lab Med       Date:  2000-08       Impact factor: 5.534

9.  The single-cell pathology landscape of breast cancer.

Authors:  Hartland W Jackson; Jana R Fischer; Vito R T Zanotelli; H Raza Ali; Robert Mechera; Savas D Soysal; Holger Moch; Simone Muenst; Zsuzsanna Varga; Walter P Weber; Bernd Bodenmiller
Journal:  Nature       Date:  2020-01-20       Impact factor: 49.962

Review 10.  Application of Prostate Cancer Models for Preclinical Study: Advantages and Limitations of Cell Lines, Patient-Derived Xenografts, and Three-Dimensional Culture of Patient-Derived Cells.

Authors:  Takeshi Namekawa; Kazuhiro Ikeda; Kuniko Horie-Inoue; Satoshi Inoue
Journal:  Cells       Date:  2019-01-20       Impact factor: 6.600

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  5 in total

1.  Use of MS-GUIDE for identification of protein biomarkers for risk stratification of patients with prostate cancer.

Authors:  Sandra Goetze; Peter Schüffler; Alcibiade Athanasiou; Anika Koetemann; Cedric Poyet; Christian Daniel Fankhauser; Peter J Wild; Ralph Schiess; Bernd Wollscheid
Journal:  Clin Proteomics       Date:  2022-04-27       Impact factor: 5.000

2.  Optimization of training and measurement protocol for eNose analysis of urine headspace aimed at prostate cancer diagnosis.

Authors:  Laura Capelli; Carmen Bax; Fabio Grizzi; Gianluigi Taverna
Journal:  Sci Rep       Date:  2021-10-22       Impact factor: 4.379

3.  Identification of Urine Biomarkers to Improve Eligibility for Prostate Biopsy and Detect High-Grade Prostate Cancer.

Authors:  Nagjie Alijaj; Blaz Pavlovic; Paul Martel; Arnas Rakauskas; Valérie Cesson; Karim Saba; Thomas Hermanns; Pascal Oechslin; Markus Veit; Maurizio Provenzano; Jan H Rüschoff; Muriel D Brada; Niels J Rupp; Cédric Poyet; Laurent Derré; Massimo Valerio; Irina Banzola; Daniel Eberli
Journal:  Cancers (Basel)       Date:  2022-02-23       Impact factor: 6.639

4.  Proteomic Analysis of Prostate Cancer FFPE Samples Reveals Markers of Disease Progression and Aggressiveness.

Authors:  Vasiliki Lygirou; Konstantinos Fasoulakis; Rafael Stroggilos; Manousos Makridakis; Agnieszka Latosinska; Maria Frantzi; Ioannis Katafigiotis; Christos Alamanis; Konstantinos G Stravodimos; Constantinos A Constantinides; Antonia Vlahou; Jerome Zoidakis
Journal:  Cancers (Basel)       Date:  2022-08-02       Impact factor: 6.575

5.  Prognostic significance of lncRNA AP004608.1 in prostate cancer.

Authors:  Wei Li; Runze Zhou; Bo Sun; Xin Jin; Yuan Chen; Xuefen Xu
Journal:  Front Oncol       Date:  2022-09-29       Impact factor: 5.738

  5 in total

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