Literature DB >> 25824111

Proteomic profiling of naïve multiple myeloma patient plasma cells identifies pathways associated with favourable response to bortezomib-based treatment regimens.

Dominik Dytfeld1,2, Shaun Rosebeck1, Malathi Kandarpa3, Anoop Mayampurath4, Dattatreya Mellacheruvu5,6, Mattina M Alonge1, Lambert Ngoka7, Jagoda Jasielec1, Paul G Richardson8, Samuel Volchenboum4, Alexey I Nesvizhskii5, Arun Sreekumar5, Andrzej J Jakubowiak1.   

Abstract

Toward our goal of personalized medicine, we comprehensively profiled pre-treatment malignant plasma cells from multiple myeloma patients and prospectively identified pathways predictive of favourable response to bortezomib-based treatment regimens. We utilized two complementary quantitative proteomics platforms to identify differentially-regulated proteins indicative of at least a very good partial response (VGPR) or complete response/near complete response (CR/nCR) to two treatment regimens containing either bortezomib, liposomal doxorubicin and dexamethasone (VDD), or lenalidomide, bortezomib and dexamethasone (RVD). Our results suggest enrichment of 'universal response' pathways that are common to both treatment regimens and are probable predictors of favourable response to bortezomib, including a subset of endoplasmic reticulum stress pathways. The data also implicate pathways unique to each regimen that may predict sensitivity to DNA-damaging agents, such as mitochondrial dysfunction, and immunomodulatory drugs, which was associated with acute phase response signalling. Overall, we identified patterns of tumour characteristics that may predict response to bortezomib-based regimens and their components. These results provide a rationale for further evaluation of the protein profiles identified herein for targeted selection of anti-myeloma therapy to increase the likelihood of improved treatment outcome of patients with newly-diagnosed myeloma.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  bortezomib; lenalidomide; multiple myeloma; proteomics

Mesh:

Substances:

Year:  2015        PMID: 25824111     DOI: 10.1111/bjh.13394

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  6 in total

Review 1.  Towards Stratified Medicine in Plasma Cell Myeloma.

Authors:  Philip Egan; Stephen Drain; Caroline Conway; Anthony J Bjourson; H Denis Alexander
Journal:  Int J Mol Sci       Date:  2016-10-21       Impact factor: 5.923

2.  RPL5 on 1p22.1 is recurrently deleted in multiple myeloma and its expression is linked to bortezomib response.

Authors:  I J F Hofman; M van Duin; E De Bruyne; L Fancello; G Mulligan; E Geerdens; E Garelli; C Mancini; H Lemmens; M Delforge; P Vandenberghe; I Wlodarska; A Aspesi; L Michaux; K Vanderkerken; P Sonneveld; K De Keersmaecker
Journal:  Leukemia       Date:  2016-12-02       Impact factor: 11.528

Review 3.  Multi-omics tumor profiling technologies to develop precision medicine in multiple myeloma.

Authors:  Sara Ovejero; Jerome Moreaux
Journal:  Explor Target Antitumor Ther       Date:  2021-02-28

Review 4.  The future of myeloma precision medicine: integrating the compendium of known drug resistance mechanisms with emerging tumor profiling technologies.

Authors:  Taylor Harding; Linda Baughn; Shaji Kumar; Brian Van Ness
Journal:  Leukemia       Date:  2019-01-25       Impact factor: 11.528

5.  Comparative proteomic profiling of refractory/relapsed multiple myeloma reveals biomarkers involved in resistance to bortezomib-based therapy.

Authors:  Dominik Dytfeld; Magdalena Luczak; Tomasz Wrobel; Lidia Usnarska-Zubkiewicz; Katarzyna Brzezniakiewicz; Krzysztof Jamroziak; Krzysztof Giannopoulos; Anna Przybylowicz-Chalecka; Blazej Ratajczak; Joanna Czerwinska-Rybak; Adam Nowicki; Monika Joks; Elzbieta Czechowska; Magdalena Zawartko; Tomasz Szczepaniak; Norbert Grzasko; Marta Morawska; Maciej Bochenek; Tadeusz Kubicki; Michalina Morawska; Katarzyna Tusznio; Andrzej Jakubowiak; MieczysÅ Aw Komarnicki
Journal:  Oncotarget       Date:  2016-08-30

6.  Discovery and validation of surface N-glycoproteins in MM cell lines and patient samples uncovers immunotherapy targets.

Authors:  Robyn A A Oldham; Mary L Faber; Theodore R Keppel; Amanda R Buchberger; Matthew Waas; Parameswaran Hari; Rebekah L Gundry; Jeffrey A Medin
Journal:  J Immunother Cancer       Date:  2020-08       Impact factor: 13.751

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.