Literature DB >> 23992230

Responsiveness of cytogenetically discrete human myeloma cell lines to lenalidomide: lack of correlation with cereblon and interferon regulatory factor 4 expression levels.

Alexandra J Greenberg1,2, Denise K Walters3, Shaji K Kumar4, S Vincent Rajkumar4, Diane F Jelinek3,4.   

Abstract

The introduction of novel immunomodulatory drugs (IMiDs) has dramatically improved the survival of patients with multiple myeloma (MM). While it has been shown that patients with specific cytogenetic subtypes, namely t(4;14), have the best outcomes when treated with bortezomib-based regimens, the relationship between cytogenetic subtypes and response to IMiDs remains unclear. Using DNA synthesis assays, we investigated the relationship between cytogenetic subtype and lenalidomide response in a representative panel of human myeloma cell lines (HMCLs). We examined HMCL protein expression levels of the lenalidomide target cereblon (CRBN) and its downstream target interferon regulatory factor-4 (IRF4), which have previously been shown to be predictive of lenalidomide response in HMCLs. Our results reveal that lenalidomide response did not correlate with specific cytogenetic translocations. There were distinct groups of lenalidomide-responsive and non-responsive HMCLs, as defined by inhibition of cellular proliferation; notably, all of the hyperdiploid HMCLs fell into the latter category. Repeated dosing of lenalidomide significantly lowered the IC50 of the responsive HMCL ALMC-1 (IC50 = 2.6 μm vs. 0.005 μm, P < 0.0001), but did not have an effect on the IC50 of the non-responsive DP-6 HMCL (P > 0.05). Moreover, no association was found between lenalidomide responsiveness and CRBN and IRF4 expression. Our data indicate that lenalidomide sensitivity is independent of cytogenetic subtype in HMCLs. While CRBN and IRF4 have been shown to be associated with response to lenalidomide in patients, these findings do not translate back to HMCLs, which could be attributable to factors present in the bone marrow microenvironment.
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  CRBN; IRF4; cytogenetics; lenalidomide; multiple myeloma

Mesh:

Substances:

Year:  2013        PMID: 23992230      PMCID: PMC3834223          DOI: 10.1111/ejh.12192

Source DB:  PubMed          Journal:  Eur J Haematol        ISSN: 0902-4441            Impact factor:   2.997


  30 in total

1.  Pharmacokinetics, metabolism and excretion of [(14)C]-lenalidomide following oral administration in healthy male subjects.

Authors:  Nianhang Chen; Lian Wen; Henry Lau; Sekhar Surapaneni; Gondi Kumar
Journal:  Cancer Chemother Pharmacol       Date:  2011-10-29       Impact factor: 3.333

2.  Lenalidomide downregulates the cell survival factor, interferon regulatory factor-4, providing a potential mechanistic link for predicting response.

Authors:  Antonia Lopez-Girona; Daniel Heintel; Ling-Hua Zhang; Derek Mendy; Svetlana Gaidarova; Helen Brady; Justin Blake Bartlett; Peter H Schafer; Martin Schreder; Arnold Bolomsky; Bernadette Hilgarth; Niklas Zojer; Heinz Gisslinger; Heinz Ludwig; Tom Daniel; Ulrich Jäger; Rajesh Chopra
Journal:  Br J Haematol       Date:  2011-06-24       Impact factor: 6.998

3.  Cereblon expression is required for the antimyeloma activity of lenalidomide and pomalidomide.

Authors:  Yuan Xiao Zhu; Esteban Braggio; Chang-Xin Shi; Laura A Bruins; Jessica E Schmidt; Scott Van Wier; Xiu-Bao Chang; Chad C Bjorklund; Rafael Fonseca; P Leif Bergsagel; Robert Z Orlowski; A Keith Stewart
Journal:  Blood       Date:  2011-08-22       Impact factor: 22.113

4.  Multiple myeloma: 2012 update on diagnosis, risk-stratification, and management.

Authors:  S Vincent Rajkumar
Journal:  Am J Hematol       Date:  2012-01       Impact factor: 10.047

5.  Trisomies in multiple myeloma: impact on survival in patients with high-risk cytogenetics.

Authors:  Shaji Kumar; Rafael Fonseca; Rhett P Ketterling; Angela Dispenzieri; Martha Q Lacy; Morie A Gertz; Suzanne R Hayman; Francis K Buadi; David Dingli; Ryan A Knudson; Alexandra Greenberg; Stephen J Russell; Steven R Zeldenrust; John A Lust; Robert A Kyle; Leif Bergsagel; S Vincent Rajkumar
Journal:  Blood       Date:  2012-01-10       Impact factor: 22.113

6.  Lenalidomide targets clonogenic side population in multiple myeloma: pathophysiologic and clinical implications.

Authors:  Jana Jakubikova; Sophia Adamia; Maria Kost-Alimova; Steffen Klippel; David Cervi; John F Daley; Dana Cholujova; Sun-Young Kong; Merav Leiba; Simona Blotta; Melissa Ooi; Jake Delmore; Jacob Laubach; Paul G Richardson; Jan Sedlak; Kenneth C Anderson; Constantine S Mitsiades
Journal:  Blood       Date:  2011-02-14       Impact factor: 22.113

Review 7.  A review of the history, properties, and use of the immunomodulatory compound lenalidomide.

Authors:  Jerome B Zeldis; Robert Knight; Mohamad Hussein; Rajesh Chopra; George Muller
Journal:  Ann N Y Acad Sci       Date:  2011-03       Impact factor: 5.691

8.  Multiple myeloma: 2013 update on diagnosis, risk-stratification, and management.

Authors:  S Vincent Rajkumar
Journal:  Am J Hematol       Date:  2013-03       Impact factor: 10.047

Review 9.  Molecular mechanism of action of immune-modulatory drugs thalidomide, lenalidomide and pomalidomide in multiple myeloma.

Authors:  Yuan Xiao Zhu; K Martin Kortuem; A Keith Stewart
Journal:  Leuk Lymphoma       Date:  2012-09-28

10.  Cereblon is a direct protein target for immunomodulatory and antiproliferative activities of lenalidomide and pomalidomide.

Authors:  A Lopez-Girona; D Mendy; T Ito; K Miller; A K Gandhi; J Kang; S Karasawa; G Carmel; P Jackson; M Abbasian; A Mahmoudi; B Cathers; E Rychak; S Gaidarova; R Chen; P H Schafer; H Handa; T O Daniel; J F Evans; R Chopra
Journal:  Leukemia       Date:  2012-05-03       Impact factor: 11.528

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  7 in total

Review 1.  Cereblon: promise and challenges for combating human diseases.

Authors:  Hyoung Kyu Kim; Jung Eun Seol; Sang Woo Ahn; Seungje Jeon; Chul-Seung Park; Jin Han
Journal:  Pflugers Arch       Date:  2021-09-22       Impact factor: 3.657

2.  In vivo murine model of acquired resistance in myeloma reveals differential mechanisms for lenalidomide and pomalidomide in combination with dexamethasone.

Authors:  E M Ocio; D Fernández-Lázaro; L San-Segundo; L López-Corral; L A Corchete; N C Gutiérrez; M Garayoa; T Paíno; A García-Gómez; M Delgado; J C Montero; E Díaz-Rodríguez; M V Mateos; A Pandiella; S Couto; M Wang; C C Bjorklund; J F San-Miguel
Journal:  Leukemia       Date:  2014-08-08       Impact factor: 11.528

3.  Patterns of substrate affinity, competition, and degradation kinetics underlie biological activity of thalidomide analogs.

Authors:  Adam S Sperling; Michael Burgess; Hasmik Keshishian; Jessica A Gasser; Shruti Bhatt; Max Jan; Mikołaj Słabicki; Rob S Sellar; Emma C Fink; Peter G Miller; Brian J Liddicoat; Quinlan L Sievers; Rohan Sharma; Dylan N Adams; Elyse A Olesinski; Mariateresa Fulciniti; Namrata D Udeshi; Eric Kuhn; Anthony Letai; Nikhil C Munshi; Steven A Carr; Benjamin L Ebert
Journal:  Blood       Date:  2019-05-01       Impact factor: 25.476

Review 4.  Trial Watch: Lenalidomide-based immunochemotherapy.

Authors:  Michaela Semeraro; Erika Vacchelli; Alexander Eggermont; Jerome Galon; Laurence Zitvogel; Guido Kroemer; Lorenzo Galluzzi
Journal:  Oncoimmunology       Date:  2013-10-21       Impact factor: 8.110

Review 5.  Germline Risk Contribution to Genomic Instability in Multiple Myeloma.

Authors:  Siegfried Janz; Fenghuang Zhan; Fumou Sun; Yan Cheng; Michael Pisano; Ye Yang; Hartmut Goldschmidt; Parameswaran Hari
Journal:  Front Genet       Date:  2019-05-08       Impact factor: 4.599

6.  FN14 and GRP94 expression are prognostic/predictive biomarkers of brain metastasis outcome that open up new therapeutic strategies.

Authors:  Antonio Martínez-Aranda; Vanessa Hernández; Emre Guney; Laia Muixí; Ruben Foj; Núria Baixeras; Daniel Cuadras; Víctor Moreno; Ander Urruticoechea; Miguel Gil; Baldo Oliva; Ferran Moreno; Eva González-Suarez; Noemí Vidal; Xavier Andreu; Miquel A Seguí; Rosa Ballester; Eva Castella; Angels Sierra
Journal:  Oncotarget       Date:  2015-12-29

7.  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

  7 in total

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