Literature DB >> 26847058

Impact of Genes Highly Correlated with MMSET Myeloma on the Survival of Non-MMSET Myeloma Patients.

S Peter Wu1, Ruth M Pfeiffer2, Inhye E Ahn1, Sham Mailankody3, Pieter Sonneveld4, Mark van Duin4, Nikhil C Munshi5, Brian A Walker6, Gareth Morgan7, Ola Landgren8.   

Abstract

PURPOSE: The poor prognosis of multiple myeloma with t(4;14) is driven by the fusion of genes encoding multiple myeloma SET domain (MMSET) and immunoglobulin heavy chain. Specific genes affected by MMSET and their clinical implications in non-MMSET myeloma remain undetermined. EXPERIMENTAL
DESIGN: We obtained gene expression profiles of 1,032 newly diagnosed myeloma patients enrolled in Total Therapy 2, Total Therapy 3, Myeloma IX, and HOVON65-GMMGHD4 trials and 156 patients from Multiple Myeloma Resource Collection. Probes that correlated most with MMSET myeloma were selected on the basis of a multivariable linear regression and Bonferroni correction and refined on the basis of the strength of association with survival in non-MMSET patients.
RESULTS: Ten MMSET-like probes were associated with poor survival in non-MMSET myeloma. Non-MMSET myeloma patients in the highest quartile of the 10-gene signature (MMSET-like myeloma) had 5-year overall survival similar to that of MMSET myeloma [highest quartile vs. lowest quartile HR = 2.0; 95% confidence interval (CI), 1.5-2.8 in MMSET-like myeloma; HR = 2.3; 95% CI, 1.6-3.3 in MMSET myeloma]. Analyses of MMSET-like gene signature suggested the involvement of p53 and MYC pathways.
CONCLUSIONS: MMSET-like gene signature captures a subset of high-risk myeloma patients underrepresented by conventional risk stratification platforms and defines a distinct biologic subtype. Clin Cancer Res; 22(16); 4039-44. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26847058      PMCID: PMC5576175          DOI: 10.1158/1078-0432.CCR-15-2366

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  33 in total

1.  A gene expression signature for high-risk multiple myeloma.

Authors:  R Kuiper; A Broyl; Y de Knegt; M H van Vliet; E H van Beers; B van der Holt; L el Jarari; G Mulligan; W Gregory; G Morgan; H Goldschmidt; H M Lokhorst; M van Duin; P Sonneveld
Journal:  Leukemia       Date:  2012-05-08       Impact factor: 11.528

2.  Prediction error estimation: a comparison of resampling methods.

Authors:  Annette M Molinaro; Richard Simon; Ruth M Pfeiffer
Journal:  Bioinformatics       Date:  2005-05-19       Impact factor: 6.937

3.  Poor outcome with front-line autologous transplantation in t(4;14) multiple myeloma: low complete remission rate and short duration of remission.

Authors:  Michele Cavo; Carolina Terragna; Matteo Renzulli; Elena Zamagni; Patrizia Tosi; Nicoletta Testoni; Chiara Nicci; Delia Cangini; Paola Tacchetti; Tiziana Grafone; Claudia Cellini; Michela Ceccolini; Giulia Perrone; Giovanni Martinelli; Michele Baccarani; Luciano Guardigni
Journal:  J Clin Oncol       Date:  2006-01-20       Impact factor: 44.544

4.  The MMSET histone methyl transferase switches global histone methylation and alters gene expression in t(4;14) multiple myeloma cells.

Authors:  Eva Martinez-Garcia; Relja Popovic; Dong-Joon Min; Steve M M Sweet; Paul M Thomas; Leonid Zamdborg; Aaron Heffner; Christine Will; Laurence Lamy; Louis M Staudt; David L Levens; Neil L Kelleher; Jonathan D Licht
Journal:  Blood       Date:  2010-10-25       Impact factor: 22.113

5.  MMSET stimulates myeloma cell growth through microRNA-mediated modulation of c-MYC.

Authors:  D-J Min; T Ezponda; M K Kim; C M Will; E Martinez-Garcia; R Popovic; V Basrur; K S Elenitoba-Johnson; J D Licht
Journal:  Leukemia       Date:  2012-09-13       Impact factor: 11.528

6.  p53-Dependent transcriptional repression of c-myc is required for G1 cell cycle arrest.

Authors:  Jenny S L Ho; Weili Ma; Daniel Y L Mao; Samuel Benchimol
Journal:  Mol Cell Biol       Date:  2005-09       Impact factor: 4.272

7.  The t(4;14) translocation in myeloma dysregulates both FGFR3 and a novel gene, MMSET, resulting in IgH/MMSET hybrid transcripts.

Authors:  M Chesi; E Nardini; R S Lim; K D Smith; W M Kuehl; P L Bergsagel
Journal:  Blood       Date:  1998-11-01       Impact factor: 22.113

8.  Prediction of survival in multiple myeloma based on gene expression profiles reveals cell cycle and chromosomal instability signatures in high-risk patients and hyperdiploid signatures in low-risk patients: a study of the Intergroupe Francophone du Myélome.

Authors:  Olivier Decaux; Laurence Lodé; Florence Magrangeas; Catherine Charbonnel; Wilfried Gouraud; Pascal Jézéquel; Michel Attal; Jean-Luc Harousseau; Philippe Moreau; Régis Bataille; Loïc Campion; Hervé Avet-Loiseau; Stéphane Minvielle
Journal:  J Clin Oncol       Date:  2008-06-30       Impact factor: 44.544

Review 9.  IMWG consensus on risk stratification in multiple myeloma.

Authors:  W J Chng; A Dispenzieri; C-S Chim; R Fonseca; H Goldschmidt; S Lentzsch; N Munshi; A Palumbo; J S Miguel; P Sonneveld; M Cavo; S Usmani; B G M Durie; H Avet-Loiseau
Journal:  Leukemia       Date:  2013-08-26       Impact factor: 11.528

10.  Gene-panel sequencing and the prediction of breast-cancer risk.

Authors:  Douglas F Easton; Paul D P Pharoah; Antonis C Antoniou; Marc Tischkowitz; Sean V Tavtigian; Katherine L Nathanson; Peter Devilee; Alfons Meindl; Fergus J Couch; Melissa Southey; David E Goldgar; D Gareth R Evans; Georgia Chenevix-Trench; Nazneen Rahman; Mark Robson; Susan M Domchek; William D Foulkes
Journal:  N Engl J Med       Date:  2015-05-27       Impact factor: 91.245

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  5 in total

1.  ROBO1 Promotes Homing, Dissemination, and Survival of Multiple Myeloma within the Bone Marrow Microenvironment.

Authors:  Giada Bianchi; Peter G Czarnecki; Matthew Ho; Aldo M Roccaro; Antonio Sacco; Yawara Kawano; Annamaria Gullà; Anil Aktas Samur; Tianzeng Chen; Kenneth Wen; Yu-Tzu Tai; Maria Moscvin; Xinchen Wu; Gulden Camci-Unal; Matteo C Da Vià; Niccolo' Bolli; Tomasz Sewastianik; Ruben D Carrasco; Irene M Ghobrial; Kenneth C Anderson
Journal:  Cancer Discov       Date:  2021-04-10       Impact factor: 39.397

2.  A Network Analysis of Multiple Myeloma Related Gene Signatures.

Authors:  Yu Liu; Haocheng Yu; Seungyeul Yoo; Eunjee Lee; Alessandro Laganà; Samir Parekh; Eric E Schadt; Li Wang; Jun Zhu
Journal:  Cancers (Basel)       Date:  2019-09-27       Impact factor: 6.639

3.  Prognostic significance of esterase gene expression in multiple myeloma.

Authors:  Romika Kumari; Muntasir Mamun Majumder; Juha Lievonen; Raija Silvennoinen; Pekka Anttila; Nina N Nupponen; Fredrik Lehmann; Caroline A Heckman
Journal:  Br J Cancer       Date:  2021-02-03       Impact factor: 7.640

Review 4.  NSD2 as a Promising Target in Hematological Disorders.

Authors:  Alba Azagra; César Cobaleda
Journal:  Int J Mol Sci       Date:  2022-09-21       Impact factor: 6.208

5.  ROBO1 Promotes Homing, Dissemination, and Survival of Multiple Myeloma within the Bone Marrow Microenvironment.

Authors:  Giada Bianchi; Peter G Czarnecki; Matthew Ho; Aldo M Roccaro; Antonio Sacco; Yawara Kawano; Annamaria Gullà; Anil Aktas Samur; Tianzeng Chen; Kenneth Wen; Yu-Tzu Tai; Maria Moscvin; Xinchen Wu; Gulden Camci-Unal; Matteo C Da Vià; Niccolo' Bolli; Tomasz Sewastianik; Ruben D Carrasco; Irene M Ghobrial; Kenneth C Anderson
Journal:  Blood Cancer Discov       Date:  2021-07
  5 in total

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