Literature DB >> 34250400

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

David G Coffey1,2,3, Andrew J Cowan1,2, Bret DeGraaff2, Timothy J Martins4, Niall Curley1, Damian J Green1,2, Edward N Libby1,2, Rebecca Silbermann5, Sylvia Chien2, Jin Dai2, Alicia Morales1, Ted A Gooley1, Edus H Warren1,2,3, Pamela S Becker1,2,3,4,6.   

Abstract

Multiple myeloma (MM) is a genetically heterogeneous malignancy characterized by variable treatment responses. Although numerous drugs have been approved in recent years, the ability to predict treatment response and tailor individual therapy is limited by the absence of robust predictive biomarkers. The goal of this clinical trial was to use ex vivo, high-throughput screening (HTS) of 170 compounds to predict response among patients with relapsed or refractory MM and inform the next treatment decisions. Additionally, we integrated HTS with multi-omic analysis to uncover novel associations between in vitro drug sensitivity and gene expression and mutation profiles.
MATERIALS AND METHODS: Twenty-five patients with relapsed or refractory MM underwent a screening bone marrow or soft tissue biopsy. Sixteen patients were found to have sufficient plasma cells for HTS. Targeted next-generation sequencing was performed on plasma cell-free DNA from all patients who underwent HTS. RNA and whole-exome sequencing of bone marrow plasma cells were performed on eight and seven patients, respectively.
RESULTS: Results of HTS testing were made available to treating physicians within a median of 5 days from the biopsy. An actionable treatment result was identified in all 16 patients examined. Among the 13 patients who received assay-guided therapy, 92% achieved stable disease or better. The expression of 105 genes and mutations in 12 genes correlated with in vitro cytotoxicity.
CONCLUSION: In patients with relapsed or refractory MM, we demonstrate the feasibility of ex vivo drug sensitivity testing on isolated plasma cells from patient bone marrow biopsies or extramedullary plasmacytomas to inform the next line of therapy.
© 2021 by American Society of Clinical Oncology.

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Year:  2021        PMID: 34250400      PMCID: PMC8232547          DOI: 10.1200/PO.20.00442

Source DB:  PubMed          Journal:  JCO Precis Oncol        ISSN: 2473-4284


  15 in total

Review 1.  Mechanism of action of proteasome inhibitors and deacetylase inhibitors and the biological basis of synergy in multiple myeloma.

Authors:  Teru Hideshima; Paul G Richardson; Kenneth C Anderson
Journal:  Mol Cancer Ther       Date:  2011-11       Impact factor: 6.261

2.  An Ex Vivo Platform for the Prediction of Clinical Response in Multiple Myeloma.

Authors:  Ariosto Silva; Maria C Silva; Praneeth Sudalagunta; Allison Distler; Timothy Jacobson; Aunshka Collins; Tuan Nguyen; Jinming Song; Dung-Tsa Chen; Lu Chen; Christopher Cubitt; Rachid Baz; Lia Perez; Dmitri Rebatchouk; William Dalton; James Greene; Robert Gatenby; Robert Gillies; Eduardo Sontag; Mark B Meads; Kenneth H Shain
Journal:  Cancer Res       Date:  2017-04-11       Impact factor: 12.701

3.  Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma.

Authors:  Brian A Walker; Konstantinos Mavrommatis; Christopher P Wardell; T Cody Ashby; Michael Bauer; Faith E Davies; Adam Rosenthal; Hongwei Wang; Pingping Qu; Antje Hoering; Mehmet Samur; Fadi Towfic; Maria Ortiz; Erin Flynt; Zhinuan Yu; Zhihong Yang; Dan Rozelle; John Obenauer; Matthew Trotter; Daniel Auclair; Jonathan Keats; Niccolo Bolli; Mariateresa Fulciniti; Raphael Szalat; Philippe Moreau; Brian Durie; A Keith Stewart; Hartmut Goldschmidt; Marc S Raab; Hermann Einsele; Pieter Sonneveld; Jesus San Miguel; Sagar Lonial; Graham H Jackson; Kenneth C Anderson; Herve Avet-Loiseau; Nikhil Munshi; Anjan Thakurta; Gareth J Morgan
Journal:  Blood       Date:  2018-06-08       Impact factor: 22.113

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

Authors:  Zachary J Walker; Michael J VanWyngarden; Brett M Stevens; Diana Abbott; Andrew Hammes; Christophe Langouët-Astrie; Clayton A Smith; Brent E Palmer; Peter A Forsberg; Tomer M Mark; Craig T Jordan; Daniel W Sherbenou
Journal:  Blood Adv       Date:  2020-04-28

Review 5.  International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma.

Authors:  Shaji Kumar; Bruno Paiva; Kenneth C Anderson; Brian Durie; Ola Landgren; Philippe Moreau; Nikhil Munshi; Sagar Lonial; Joan Bladé; Maria-Victoria Mateos; Meletios Dimopoulos; Efstathios Kastritis; Mario Boccadoro; Robert Orlowski; Hartmut Goldschmidt; Andrew Spencer; Jian Hou; Wee Joo Chng; Saad Z Usmani; Elena Zamagni; Kazuyuki Shimizu; Sundar Jagannath; Hans E Johnsen; Evangelos Terpos; Anthony Reiman; Robert A Kyle; Pieter Sonneveld; Paul G Richardson; Philip McCarthy; Heinz Ludwig; Wenming Chen; Michele Cavo; Jean-Luc Harousseau; Suzanne Lentzsch; Jens Hillengass; Antonio Palumbo; Alberto Orfao; S Vincent Rajkumar; Jesus San Miguel; Herve Avet-Loiseau
Journal:  Lancet Oncol       Date:  2016-08       Impact factor: 41.316

6.  Functional profiling of venetoclax sensitivity can predict clinical response in multiple myeloma.

Authors:  Shannon M Matulis; Vikas A Gupta; Paola Neri; Nizar J Bahlis; Paulo Maciag; Joel D Leverson; Leonard T Heffner; Sagar Lonial; Ajay K Nooka; Jonathan L Kaufman; Lawrence H Boise
Journal:  Leukemia       Date:  2019-01-24       Impact factor: 11.528

7.  A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Authors:  Su-In Lee; Safiye Celik; Benjamin A Logsdon; Scott M Lundberg; Timothy J Martins; Vivian G Oehler; Elihu H Estey; Chris P Miller; Sylvia Chien; Jin Dai; Akanksha Saxena; C Anthony Blau; Pamela S Becker
Journal:  Nat Commun       Date:  2018-01-03       Impact factor: 14.919

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

9.  Overall survival of transplant eligible patients with newly diagnosed multiple myeloma: comparative effectiveness analysis of modern induction regimens on outcome.

Authors:  Ashley R Paquin; Shaji K Kumar; Francis K Buadi; Morie A Gertz; Martha Q Lacy; Angela Dispenzieri; David Dingli; Lisa Hwa; Amie Fonder; Miriam Hobbs; Suzanne R Hayman; Steven R Zeldenrust; John A Lust; Stephen J Russell; Nelson Leung; Prashant Kapoor; Ronald S Go; Yi Lin; Wilson I Gonsalves; Taxiarchis Kourelis; Rahma Warsame; Robert A Kyle; S Vincent Rajkumar
Journal:  Blood Cancer J       Date:  2018-12-11       Impact factor: 11.037

10.  smCounter2: an accurate low-frequency variant caller for targeted sequencing data with unique molecular identifiers.

Authors:  Chang Xu; Xiujing Gu; Raghavendra Padmanabhan; Zhong Wu; Quan Peng; John DiCarlo; Yexun Wang
Journal:  Bioinformatics       Date:  2019-04-15       Impact factor: 6.937

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  1 in total

Review 1.  Functional Drug Screening in the Era of Precision Medicine.

Authors:  Giulia C Napoli; William D Figg; Cindy H Chau
Journal:  Front Med (Lausanne)       Date:  2022-07-08
  1 in total

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