Literature DB >> 24046818

Pre-analytical-related variability influencing serum peptide profiles demonstrated in a mass spectrometry-based search for colorectal and prostate cancer biomarkers.

Jakub Karczmarski1, Tymon Rubel, Michal Mikula, Jan Wolski, Andrzej Rutkowski, Edyta Zagorowicz, Michal Dadlez, Jerzy Ostrowski.   

Abstract

Although the degradome, which comprises proteolytic fragments of blood proteins, presents a potential source of diagnostic biomarkers, studies on cancer peptide biomarkers have provided inconsistent conclusions. In the present study, we reevaluated the usefulness of serum degradome analyses for searching peptide cancer biomarker candidates. Particular attention was paid to pre-analytical factors influencing the variability of determined peptide levels, including clotting time and control group selection. Studies were conducted on 44 and 86 serum samples collected from cancer patients and healthy individuals, respectively, using liquid chromatography electrospray ionization mass spectrometry (LC-ESI-MS)-based analyses. We identified 1373 unique peptides, nearly 40% of which originated from five blood proteins: fibrinogen alpha chain, apolipoprotein A-IV (APOA4), complement C3, apolipoprotein A-I, and alpha-1-antitrypsin. A set of 118 and 88 peptides exhibited highly significant differences (adjusted p-value ≤ 0.01 and fold change ≥ 2) in pair-wise comparisons of control vs. prostate cancer and control vs. colorectal cancer, respectively, with 37 peptides displaying a consistent direction of change for these pair-wise comparisons. The levels of 67 peptides differed significantly in serum samples collected from healthy individuals immediately prior to colonoscopy and those who underwent colonoscopic examination at least four weeks earlier. Of them, 49 peptides originated from APOA4. Whereas earlier studies, including ours, have utilized fragments of fibrinopeptide A (FPA) to distinguish cancer from healthy cases, here we show that their absolute abundance is a sensitive indicator of clotting time. These observations may have implications for future serum peptidome studies since these issues have not previously been recognized.

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Year:  2013        PMID: 24046818

Source DB:  PubMed          Journal:  Acta Biochim Pol        ISSN: 0001-527X            Impact factor:   2.149


  6 in total

1.  A Strong Neutrophil Elastase Proteolytic Fingerprint Marks the Carcinoma Tumor Proteome.

Authors:  Michał Kistowski; Janusz Dębski; Jakub Karczmarski; Agnieszka Paziewska; Jacek Olędzki; Michał Mikula; Jerzy Ostrowski; Michał Dadlez
Journal:  Mol Cell Proteomics       Date:  2016-12-07       Impact factor: 5.911

2.  Integrated Cellular and Plasma Proteomics of Contrasting B-cell Cancers Reveals Common, Unique and Systemic Signatures.

Authors:  Harvey E Johnston; Matthew J Carter; Kerry L Cox; Melanie Dunscombe; Antigoni Manousopoulou; Paul A Townsend; Spiros D Garbis; Mark S Cragg
Journal:  Mol Cell Proteomics       Date:  2017-01-04       Impact factor: 5.911

Review 3.  Complement in cancer: untangling an intricate relationship.

Authors:  Edimara S Reis; Dimitrios C Mastellos; Daniel Ricklin; Alberto Mantovani; John D Lambris
Journal:  Nat Rev Immunol       Date:  2017-09-18       Impact factor: 53.106

4.  Plasma degradome affected by variable storage of human blood.

Authors:  Leon F A van Dullemen; Marie-Laëtitia Thézénas; Rutger J Ploeg; Benedikt M Kessler; Maria Kaisar; M Zeeshan Akhtar; Honglei Huang; Sandrine Rendel; Philip D Charles; Roman Fischer
Journal:  Clin Proteomics       Date:  2016-09-26       Impact factor: 3.988

5.  Beads-free protein immunoprecipitation for a mass spectrometry-based interactome and posttranslational modifications analysis.

Authors:  Michal Mikula; Tymon Rubel; Jakub Karczmarski; Malgorzata Statkiewicz; Karol Bomsztyk; Jerzy Ostrowski
Journal:  Proteome Sci       Date:  2015-09-02       Impact factor: 2.480

6.  Histone-lysine N-methyltransferase SETD7 is a potential serum biomarker for colorectal cancer patients.

Authors:  Baojun Duan; Jun Bai; Jian Qiu; Jianhua Wang; Cong Tong; Xiaofei Wang; Jiyu Miao; Zongfang Li; Wensheng Li; Juan Yang; Chen Huang
Journal:  EBioMedicine       Date:  2018-10-22       Impact factor: 8.143

  6 in total

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