Literature DB >> 23670859

Development of a label-free LC-MS/MS strategy to approach the identification of candidate protein biomarkers of disease recurrence in prostate cancer patients in a clinical trial of combined hormone and radiation therapy.

Brian Morrissey1, Carmel O'Shea, John Armstrong, Cathy Rooney, Lisa Staunton, Martina Sheehan, Aoife M Shannon, Stephen R Pennington.   

Abstract

PURPOSE: Combined hormone and radiation therapy (CHRT) is one of the principle curative regimes for localised prostate cancer (PCa). Following treatment, many patients subsequently experience disease recurrence however; current diagnostics tests fail to predict the onset of disease recurrence. Biomarkers that address this issue would be of significant advantage. EXPERIMENTAL
DESIGN: Label-free LC-MS/MS for protein biomarker discovery and MRM for targeted confirmation were applied to patient serum samples accrued in a non-interventional clinical trial of CHRT.
RESULTS: Analysis of time-matched patient samples from a patient with disease recurrence compared with a time match disease-free individual supported the identification of 287 proteins. Of these, 141 proteins were quantified, 95 proteins changed in their expression (P ≤ 0.05 and ≥1.5-fold change) and of these 16 were selected for MRM confirmation. The protein expression changes observed in the label-free LC-MS/MS and MRM analysis were found to be highly correlated (R(2) = 0.85). CONCLUSIONS AND CLINICAL RELEVANCE: The establishment of a clinical trial to support the acquisition of samples and development of a pipeline for MS-based biomarker discovery and validation should contribute to the identification of a serum protein signature to predict or monitor the outcome of treatment of patients with PCa.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2013        PMID: 23670859     DOI: 10.1002/prca.201300004

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  9 in total

Review 1.  Psoriatic arthritis under a proteomic spotlight: application of novel technologies to advance diagnosis and management.

Authors:  Aisha Q Butt; Angela McArdle; David S Gibson; Oliver FitzGerald; Stephen R Pennington
Journal:  Curr Rheumatol Rep       Date:  2015-05       Impact factor: 4.592

Review 2.  Clinical Features of Psoriatic Arthritis: a Comprehensive Review of Unmet Clinical Needs.

Authors:  Angela McArdle; Stephen Pennington; Oliver FitzGerald
Journal:  Clin Rev Allergy Immunol       Date:  2018-12       Impact factor: 8.667

Review 3.  Early biomarkers of joint damage in rheumatoid and psoriatic arthritis.

Authors:  Angela Mc Ardle; Brian Flatley; Stephen R Pennington; Oliver FitzGerald
Journal:  Arthritis Res Ther       Date:  2015-06-01       Impact factor: 5.156

Review 4.  The Role of Proteomics in Biomarker Development for Improved Patient Diagnosis and Clinical Decision Making in Prostate Cancer.

Authors:  Claire L Tonry; Emma Leacy; Cinzia Raso; Stephen P Finn; John Armstrong; Stephen R Pennington
Journal:  Diagnostics (Basel)       Date:  2016-07-18

Review 5.  Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer.

Authors:  Amilcar Flores-Morales; Diego Iglesias-Gato
Journal:  Front Oncol       Date:  2017-11-07       Impact factor: 6.244

6.  The effect of anaemia on normal tissue toxicity and survival outcomes in prostate cancer treated with radical radiotherapy and neo-adjuvant androgen deprivation.

Authors:  Lorna G Keenan; Nazir Ibrahim; Mary T Dunne; Marie Finn; John G Armstrong
Journal:  Br J Radiol       Date:  2020-01-29       Impact factor: 3.039

7.  The Amniotic Fluid Proteome Differs Significantly between Donor and Recipient Fetuses in Pregnancies Complicated by Twin-to-Twin Transfusion Syndrome.

Authors:  Sun Min Kim; Byoung Kyu Cho; Byoung Jae Kim; Ha Yun Lee; Errol R Norwitz; Min Jueng Kang; Seung Mi Lee; Chan Wook Park; Jong Kwan Jun; Eugene C Yi; Joong Shin Park
Journal:  J Korean Med Sci       Date:  2020-03-16       Impact factor: 2.153

8.  Differentially expressed serum proteins in children with or without asthma as determined using isobaric tags for relative and absolute quantitation proteomics.

Authors:  Ming Li; Mingzhu Wu; Ying Qin; Huaqing Liu; Chengcheng Tu; Bing Shen; Xiaohong Xu; Hongbo Chen
Journal:  PeerJ       Date:  2020-11-03       Impact factor: 2.984

9.  Biomarkers of connective tissue disease-associated interstitial lung disease in bronchoalveolar lavage fluid: A label-free mass spectrometry-based relative quantification study.

Authors:  Jing Ye; Pengcheng Liu; Renming Li; Hui Liu; Wenjing Pei; Changxiu Ma; Bing Shen; Dahai Zhao; Xiaoyu Chen
Journal:  J Clin Lab Anal       Date:  2022-03-25       Impact factor: 3.124

  9 in total

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