Literature DB >> 25187478

Mass spectrometry-based serum and plasma peptidome profiling for prediction of treatment outcome in patients with solid malignancies.

Mariette Labots1, Lisette M Schütte1, Johannes C van der Mijn1, Thang V Pham1, Connie R Jiménez1, Henk M W Verheul2.   

Abstract

INTRODUCTION: Treatment selection tools are needed to enhance the efficacy of targeted treatment in patients with solid malignancies. Providing a readout of aberrant signaling pathways and proteolytic events, mass spectrometry-based (MS-based) peptidomics enables identification of predictive biomarkers, whereas the serum or plasma peptidome may provide easily accessible signatures associated with response to treatment. In this systematic review, we evaluate MS-based peptide profiling in blood for prompt clinical implementation.
METHODS: PubMed and Embase were searched for studies using a syntax based on the following hierarchy: (a) blood-based matrix-assisted or surface-enhanced laser desorption/ionization time-of-flight MS peptide profiling (b) in patients with solid malignancies (c) prior to initiation of any treatment modality, (d) with availability of outcome data.
RESULTS: Thirty-eight studies were eligible for review; the majority were performed in patients with non-small cell lung cancer (NSCLC). Median classification prediction accuracy was 80% (range: 66%-93%) in 11 models from 14 studies reporting an MS-based classification model. A pooled analysis of 9 NSCLC studies revealed clinically significant median progression-free survival in patients classified as "poor outcome" and "good outcome" of 2.0 ± 1.06 months and 4.6 ± 1.60 months, respectively; median overall survival was also clinically significant at 4.01 ± 1.60 months and 10.52 ± 3.49 months, respectively.
CONCLUSION: Pretreatment MS-based serum and plasma peptidomics have shown promising results for prediction of treatment outcome in patients with solid tumors. Limited sample sizes and absence of signature validation in many studies have prohibited clinical implementation thus far. Our pooled analysis and recent results from the PROSE study indicate that this profiling approach enables treatment selection, but additional prospective studies are warranted. ©AlphaMed Press.

Entities:  

Keywords:  Blood; Cancer; MALDI; Peptidomics; Personalized medicine; SELDI

Mesh:

Substances:

Year:  2014        PMID: 25187478      PMCID: PMC4200992          DOI: 10.1634/theoncologist.2014-0101

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  78 in total

1.  Evaluation of changes in serum protein profiles during neoadjuvant chemotherapy in HER2-positive breast cancer using an LC-MALDI-TOF/MS procedure.

Authors:  Chafika Mazouni; Keith Baggerly; David Hawke; Spyros Tsavachidis; Fabrice André; Aman U Buzdar; Pierre-Marie Martin; Ryuji Kobayashi; Lajos Pusztai
Journal:  Proteomics       Date:  2010-10       Impact factor: 3.984

2.  Lessons from controversy: ovarian cancer screening and serum proteomics.

Authors:  David F Ransohoff
Journal:  J Natl Cancer Inst       Date:  2005-02-16       Impact factor: 13.506

3.  Analysis of serum proteome profiles in nasopharyngeal carcinoma with different radiosensitivity.

Authors:  F Su; X Zhu; Z Liang; L Li; S Qu; X Liang; Q Wang; S Liang; L Chen
Journal:  Clin Transl Oncol       Date:  2013-05-14       Impact factor: 3.405

4.  Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy.

Authors:  Fraser M Smith; William M Gallagher; Edward Fox; Richard B Stephens; Elton Rexhepaj; Emanuel F Petricoin; Lance Liotta; M John Kennedy; John V Reynolds
Journal:  Ann Surg       Date:  2007-02       Impact factor: 12.969

Review 5.  Tumor control versus adverse events with targeted anticancer therapies.

Authors:  Dorothy M K Keefe; Emma H Bateman
Journal:  Nat Rev Clin Oncol       Date:  2011-12-20       Impact factor: 66.675

6.  A parallel dose-escalation study of weekly and twice-weekly bortezomib in combination with gemcitabine and cisplatin in the first-line treatment of patients with advanced solid tumors.

Authors:  Jens Voortman; Egbert F Smit; Richard Honeywell; Bart C Kuenen; Godefridus J Peters; Helgi van de Velde; Giuseppe Giaccone
Journal:  Clin Cancer Res       Date:  2007-06-15       Impact factor: 12.531

7.  A retrospective analysis of VeriStrat status on outcome of a randomized phase II trial of first-line therapy with gemcitabine, erlotinib, or the combination in elderly patients (age 70 years or older) with stage IIIB/IV non-small-cell lung cancer.

Authors:  Thomas E Stinchcombe; Joanna Roder; Amy H Peterman; Julia Grigorieva; Carrie B Lee; Dominic T Moore; Mark A Socinski
Journal:  J Thorac Oncol       Date:  2013-04       Impact factor: 15.609

8.  VeriStrat: a prognostic and/or predictive biomarker for advanced lung cancer patients?

Authors:  Sonia Molina-Pinelo; María D Pastor; Luis Paz-Ares
Journal:  Expert Rev Respir Med       Date:  2013-12-03       Impact factor: 3.772

9.  VeriStrat classifier for survival and time to progression in non-small cell lung cancer (NSCLC) patients treated with erlotinib and bevacizumab.

Authors:  David P Carbone; J Stuart Salmon; Dean Billheimer; Heidi Chen; Alan Sandler; Heinrich Roder; Joanna Roder; Maxim Tsypin; Roy S Herbst; Anne S Tsao; Hai T Tran; Thao P Dang
Journal:  Lung Cancer       Date:  2009-12-29       Impact factor: 5.705

10.  Postoperative serum proteomic profiles may predict recurrence-free survival in high-risk primary breast cancer.

Authors:  Marie-Christine W Gast; Marc Zapatka; Harm van Tinteren; Marijke Bontenbal; Paul N Span; Vivianne C G Tjan-Heijnen; Jaco C Knol; Connie R Jimenez; Jan H M Schellens; Jos H Beijnen
Journal:  J Cancer Res Clin Oncol       Date:  2011-09-13       Impact factor: 4.553

View more
  3 in total

1.  Evaluation of a tyrosine kinase peptide microarray for tyrosine kinase inhibitor therapy selection in cancer.

Authors:  Mariette Labots; Kristy J Gotink; Henk Dekker; Kaamar Azijli; Johannes C van der Mijn; Charlotte M Huijts; Sander R Piersma; Connie R Jiménez; Henk M W Verheul
Journal:  Exp Mol Med       Date:  2016-12-16       Impact factor: 8.718

2.  Evaluation of potential circulating biomarkers for prediction of response to chemoradiation in patients with glioblastoma.

Authors:  Myra E van Linde; Johannes C van der Mijn; Thang V Pham; Jaco C Knol; Laurine E Wedekind; Koos E Hovinga; Esther Sanchez Aliaga; Jan Buter; Connie R Jimenez; Jaap C Reijneveld; Henk M W Verheul
Journal:  J Neurooncol       Date:  2016-07-21       Impact factor: 4.130

3.  Proteomics-based insights into mitogen-activated protein kinase inhibitor resistance of cerebral melanoma metastases.

Authors:  Nina Zila; Andrea Bileck; Besnik Muqaku; Lukas Janker; Ossia M Eichhoff; Phil F Cheng; Reinhard Dummer; Mitchell P Levesque; Christopher Gerner; Verena Paulitschke
Journal:  Clin Proteomics       Date:  2018-03-09       Impact factor: 3.988

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.