Literature DB >> 21491939

In-depth proteomics of ovarian cancer ascites: combining shotgun proteomics and selected reaction monitoring mass spectrometry.

Sarah Elschenbroich1, Vladimir Ignatchenko, Blaise Clarke, Steve E Kalloger, Paul C Boutros, Anthony O Gramolini, Patricia Shaw, Igor Jurisica, Thomas Kislinger.   

Abstract

Epithelial ovarian cancer (EOC) is the most common gynecological cancer and the ninth most common cancer overall. Major problems associated with EOC include poorly characterized disease progression, disease heterogeneity, lack of early detection markers and the development of chemoresistance. Early detection and treatment of EOC would significantly benefit from routine screening tests on available biofluids. We built on our experience in analyzing ovarian cancer ascites and present an analysis pipeline that combines discovery-based proteomics, bioinformatics prioritization and targeted proteomics quantification using Selected Reaction Monitoring Mass Spectrometry (SRM-MS). Ascitic fluids from patients with serous-type epithelial ovarian cancer were analyzed using comprehensive shotgun proteomics and compared to noncancerous ascitic fluids from patients with benign ovarian tumors. Integration of our data with published mRNA transcriptomic and proteomic data sets led to a panel of 51 candidate proteins. Systematic SRM-MS assay development was performed for a subset of these proteins using both synthetic peptides (13 proteins) and stable isotope labeled standards (4 proteins). Subsequently, precise relative quantification by stable isotope dilution-SRM (SID-SRM) in independent ascites and serum samples was performed as a proof-of-concept validation. The analysis strategy outlined here lays the foundation for future experiments using both larger numbers of patient samples and additional candidate proteins, and provides a template for the proteomics-based discovery of cancer biomarkers.

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Year:  2011        PMID: 21491939     DOI: 10.1021/pr1011087

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  32 in total

Review 1.  Selected reaction monitoring-based proteomics: workflows, potential, pitfalls and future directions.

Authors:  Paola Picotti; Ruedi Aebersold
Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

2.  Comparative Proteomics of Ovarian Cancer Aggregate Formation Reveals an Increased Expression of Calcium-activated Chloride Channel Regulator 1 (CLCA1).

Authors:  Natasha Musrap; Alessandra Tuccitto; George S Karagiannis; Punit Saraon; Ihor Batruch; Eleftherios P Diamandis
Journal:  J Biol Chem       Date:  2015-05-24       Impact factor: 5.157

3.  Multiple Reaction Monitoring for the Quantitation of Serum Protein Glycosylation Profiles: Application to Ovarian Cancer.

Authors:  Suzanne Miyamoto; Carol D Stroble; Sandra Taylor; Qiuting Hong; Carlito B Lebrilla; Gary S Leiserowitz; Kyoungmi Kim; L Renee Ruhaak
Journal:  J Proteome Res       Date:  2017-12-19       Impact factor: 4.466

4.  Proteome-metabolome profiling of ovarian cancer ascites reveals novel components involved in intercellular communication.

Authors:  Victoria O Shender; Marat S Pavlyukov; Rustam H Ziganshin; Georgij P Arapidi; Sergey I Kovalchuk; Nikolay A Anikanov; Ilya A Altukhov; Dmitry G Alexeev; Ivan O Butenko; Alexey L Shavarda; Elena B Khomyakova; Evgeniy Evtushenko; Lev A Ashrafyan; Irina B Antonova; Igor N Kuznetcov; Alexey Yu Gorbachev; Mikhail I Shakhparonov; Vadim M Govorun
Journal:  Mol Cell Proteomics       Date:  2014-09-30       Impact factor: 5.911

5.  Application of proteomics to cancer early detection.

Authors:  Samir Hanash; Ayumu Taguchi
Journal:  Cancer J       Date:  2011 Nov-Dec       Impact factor: 3.360

6.  Identification of prostate-enriched proteins by in-depth proteomic analyses of expressed prostatic secretions in urine.

Authors:  Simona Principe; Yunee Kim; Simona Fontana; Vladimir Ignatchenko; Julius O Nyalwidhe; Raymond S Lance; Dean A Troyer; Riccardo Alessandro; O John Semmes; Thomas Kislinger; Richard R Drake; Jeffrey A Medin
Journal:  J Proteome Res       Date:  2012-02-29       Impact factor: 4.466

7.  Ascites analysis by a microfluidic chip allows tumor-cell profiling.

Authors:  Vanessa M Peterson; Cesar M Castro; Jaehoon Chung; Nathan C Miller; Adeeti V Ullal; Maria D Castano; Richard T Penson; Hakho Lee; Michael J Birrer; Ralph Weissleder
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

8.  Multi-peptide nLC-PC-IDMS-SRM-based assay for the quantification of biomarkers in the chicken ovarian cancer model.

Authors:  Genna L Andrews Kingon; James N Petitte; David C Muddiman; Adam M Hawkridge
Journal:  Methods       Date:  2013-04-19       Impact factor: 3.608

9.  Identification of differentially expressed proteins in direct expressed prostatic secretions of men with organ-confined versus extracapsular prostate cancer.

Authors:  Yunee Kim; Vladimir Ignatchenko; Cindy Q Yao; Irina Kalatskaya; Julius O Nyalwidhe; Raymond S Lance; Anthony O Gramolini; Dean A Troyer; Lincoln D Stein; Paul C Boutros; Jeffrey A Medin; O John Semmes; Richard R Drake; Thomas Kislinger
Journal:  Mol Cell Proteomics       Date:  2012-09-17       Impact factor: 5.911

Review 10.  Advancing the sensitivity of selected reaction monitoring-based targeted quantitative proteomics.

Authors:  Tujin Shi; Dian Su; Tao Liu; Keqi Tang; David G Camp; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

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