Literature DB >> 32311014

Measurement of ex vivo resistance to proteasome inhibitors, IMiDs, and daratumumab during multiple myeloma progression.

Zachary J Walker1, Michael J VanWyngarden1, Brett M Stevens1, Diana Abbott2, Andrew Hammes2, Christophe Langouët-Astrie1, Clayton A Smith1,3, Brent E Palmer3,4, Peter A Forsberg1, Tomer M Mark1, Craig T Jordan1,4, Daniel W Sherbenou1,4.   

Abstract

The oncogenic drivers and progression factors in multiple myeloma (MM) are heterogeneous and difficult to target therapeutically. Many different MM drugs have emerged, however, that attack various phenotypic aspects of malignant plasma cells. These drugs are administered in numerous, seemingly interchangeable combinations. Although the availability of many treatment options is useful, no clinical test capable of optimizing and sequencing the treatment regimens for an individual patient is currently available. To overcome this problem, we developed a functional ex vivo approach to measure patients' inherent and acquired drug resistance. This method, which we termed myeloma drug sensitivity testing (My-DST), uses unselected bone marrow mononuclear cells with a panel of drugs in clinical use, followed by flow cytometry to measure myeloma-specific cytotoxicity. We found that using whole bone marrow cultures helped preserve primary MM cell viability. My-DST was used to profile 55 primary samples at diagnosis or at relapse. Sensitivity or resistance to each drug was determined from the change in MM viability relative to untreated control samples. My-DST identified progressive loss of sensitivity to immunomodulatory drugs, proteasome inhibitors, and daratumumab through the disease course, mirroring the clinical development of resistance. Prospectively, patients' ex vivo drug sensitivity to the drugs subsequently received was sensitive and specific for clinical response. In addition, treatment with <2 drugs identified as sensitive by My-DST led to inferior depth and duration of clinical response. In summary, ex vivo drug sensitivity is prognostically impactful and, with further validation, may facilitate more personalized and effective therapeutic regimens.
© 2020 by The American Society of Hematology.

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Year:  2020        PMID: 32311014      PMCID: PMC7189287          DOI: 10.1182/bloodadvances.2019000122

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  41 in total

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Authors:  Michel de Weers; Yu-Tzu Tai; Michael S van der Veer; Joost M Bakker; Tom Vink; Daniëlle C H Jacobs; Lukas A Oomen; Matthias Peipp; Thomas Valerius; Jerry W Slootstra; Tuna Mutis; Wim K Bleeker; Kenneth C Anderson; Henk M Lokhorst; Jan G J van de Winkel; Paul W H I Parren
Journal:  J Immunol       Date:  2010-12-27       Impact factor: 5.422

2.  Recent major improvement in long-term survival of younger patients with multiple myeloma.

Authors:  Hermann Brenner; Adam Gondos; Dianne Pulte
Journal:  Blood       Date:  2007-09-27       Impact factor: 22.113

3.  Proteasome inhibitors block Ikaros degradation by lenalidomide in multiple myeloma.

Authors:  Chang-Xin Shi; Klaus Martin Kortüm; Yuan Xiao Zhu; Patrick Jedlowski; Laura Bruins; Esteban Braggio; A Keith Stewart
Journal:  Haematologica       Date:  2015-05-14       Impact factor: 9.941

4.  Daratumumab plus Bortezomib, Melphalan, and Prednisone for Untreated Myeloma.

Authors:  María-Victoria Mateos; Meletios A Dimopoulos; Michele Cavo; Kenshi Suzuki; Andrzej Jakubowiak; Stefan Knop; Chantal Doyen; Paulo Lucio; Zsolt Nagy; Polina Kaplan; Ludek Pour; Mark Cook; Sebastian Grosicki; Andre Crepaldi; Anna M Liberati; Philip Campbell; Tatiana Shelekhova; Sung-Soo Yoon; Genadi Iosava; Tomoaki Fujisaki; Mamta Garg; Christopher Chiu; Jianping Wang; Robin Carson; Wendy Crist; William Deraedt; Huong Nguyen; Ming Qi; Jesus San-Miguel
Journal:  N Engl J Med       Date:  2017-12-12       Impact factor: 91.245

5.  Differential activity of Cremophor EL and paclitaxel in patients' tumor cells and human carcinoma cell lines in vitro.

Authors:  K Csóka; S Dhar; H Fridborg; R Larsson; P Nygren
Journal:  Cancer       Date:  1997-03-15       Impact factor: 6.860

6.  Human myeloma in vitro colony growth: interrelationships between drug sensitivity, cell kinetics, and patient survival duration.

Authors:  B G Durie; L A Young; S E Salmon
Journal:  Blood       Date:  1983-05       Impact factor: 22.113

7.  The therapeutic human CD38 antibody daratumumab improves the anti-myeloma effect of newly emerging multi-drug therapies.

Authors:  M S van der Veer; M de Weers; B van Kessel; J M Bakker; S Wittebol; P W H I Parren; H M Lokhorst; T Mutis
Journal:  Blood Cancer J       Date:  2011-10-28       Impact factor: 11.037

8.  Identification of precision treatment strategies for relapsed/refractory multiple myeloma by functional drug sensitivity testing.

Authors:  Muntasir Mamun Majumder; Raija Silvennoinen; Pekka Anttila; David Tamborero; Samuli Eldfors; Bhagwan Yadav; Riikka Karjalainen; Heikki Kuusanmäki; Juha Lievonen; Alun Parsons; Minna Suvela; Esa Jantunen; Kimmo Porkka; Caroline A Heckman
Journal:  Oncotarget       Date:  2017-05-05

Review 9.  Drug resistance in multiple myeloma: latest findings and new concepts on molecular mechanisms.

Authors:  Jahangir Abdi; Guoan Chen; Hong Chang
Journal:  Oncotarget       Date:  2013-12

10.  Antibody-mediated phagocytosis contributes to the anti-tumor activity of the therapeutic antibody daratumumab in lymphoma and multiple myeloma.

Authors:  Marije B Overdijk; Sandra Verploegen; Marijn Bögels; Marjolein van Egmond; Jeroen J Lammerts van Bueren; Tuna Mutis; Richard W J Groen; Esther Breij; Anton C M Martens; Wim K Bleeker; Paul W H I Parren
Journal:  MAbs       Date:  2015       Impact factor: 5.857

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  5 in total

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Authors:  Christina Mark; Natalie S Callander; Kenny Chng; Shigeki Miyamoto; Jay Warrick
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2.  Potent Activity of an Anti-ICAM1 Antibody-Drug Conjugate against Multiple Myeloma.

Authors:  Daniel W Sherbenou; Yang Su; Christopher R Behrens; Blake T Aftab; Olivia Perez de Acha; Megan Murnane; Shelby C Bearrows; Byron C Hann; Jeffery L Wolf; Thomas G Martin; Bin Liu
Journal:  Clin Cancer Res       Date:  2020-09-11       Impact factor: 12.531

3.  High-Throughput Drug Screening and Multi-Omic Analysis to Guide Individualized Treatment for Multiple Myeloma.

Authors:  David G Coffey; Andrew J Cowan; Bret DeGraaff; Timothy J Martins; Niall Curley; Damian J Green; Edward N Libby; Rebecca Silbermann; Sylvia Chien; Jin Dai; Alicia Morales; Ted A Gooley; Edus H Warren; Pamela S Becker
Journal:  JCO Precis Oncol       Date:  2021-04-06

4.  A pilot study of 3D tissue-engineered bone marrow culture as a tool to predict patient response to therapy in multiple myeloma.

Authors:  Kinan Alhallak; Amanda Jeske; Pilar de la Puente; Jennifer Sun; Mark Fiala; Feda Azab; Barbara Muz; Ilyas Sahin; Ravi Vij; John F DiPersio; Abdel Kareem Azab
Journal:  Sci Rep       Date:  2021-09-29       Impact factor: 4.379

5.  Exploiting Protein Translation Dependence in Multiple Myeloma with Omacetaxine-Based Therapy.

Authors:  Zachary J Walker; Beau M Idler; Lorraine N Davis; Brett M Stevens; Michael J VanWyngarden; Denis Ohlstrom; Shelby C Bearrows; Andrew Hammes; Clayton A Smith; Craig T Jordan; Tomer M Mark; Peter A Forsberg; Daniel W Sherbenou
Journal:  Clin Cancer Res       Date:  2020-10-27       Impact factor: 13.801

  5 in total

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