Literature DB >> 20511484

Evidence for cytogenetic and fluorescence in situ hybridization risk stratification of newly diagnosed multiple myeloma in the era of novel therapie.

Prashant Kapoor1, Rafael Fonseca, S Vincent Rajkumar, Shirshendu Sinha, Morie A Gertz, A Keith Stewart, P Leif Bergsagel, Martha Q Lacy, David D Dingli, Rhett P Ketterling, Francis Buadi, Robert A Kyle, Thomas E Witzig, Philip R Greipp, Angela Dispenzieri, Shaji Kumar.   

Abstract

Overall survival (OS) has improved with increasing use of novel agents in multiple myeloma (MM). However, the disease course remains highly variable, and the heterogeneity largely reflects different genetic abnormalities. We studied the impact of the Mayo risk-stratification model of MM on patient outcome in the era of novel therapies, evaluating each individual component of the model-fluorescence in situ hybridization (FISH), conventional cytogenetics (CG), and the plasma cell labeling index-that segregates patients into high- and standard-risk categories. This report consists of 290 patients with newly diagnosed MM, predominantly treated with novel agents, who were risk-stratified at diagnosis and were followed up for OS. Of these patients, 81% had received primarily thalidomide (n=50), lenalidomide (n=199), or bortezomib (n=79) as frontline or salvage therapies. Our retrospective analysis validates the currently proposed Mayo risk-stratification model (median OS, 37 months vs not reached for high- and standard-risk patients, respectively; P=.003). Although the FISH or CG test identifies a high-risk cohort with hazard ratios of 2.1 (P=.006) and 2.5 (P=.006), respectively, the plasma cell labeling index cutoff of 3% fails to independently prognosticate patient risk (hazard ratio, 1.4; P=.41). In those stratified as standard-risk by one of the 2 tests (FISH or CG), the other test appears to be of additional prognostic significance. This study validates the high-risk features defined by FISH and CG in the Mayo risk-stratification model for patients with MM predominantly treated with novel therapies based on immunomodulatory agents.

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Year:  2010        PMID: 20511484      PMCID: PMC2878257          DOI: 10.4065/mcp.2009.0677

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  27 in total

1.  Plasma cell labeling index.

Authors:  Philip R Greipp; Shaji Kumar
Journal:  Methods Mol Med       Date:  2005

2.  An internationally recognized uniform cytogenetic classification system is needed for multiple myeloma.

Authors:  A Dispenzieri
Journal:  Leukemia       Date:  2007-01       Impact factor: 11.528

3.  The molecular classification of multiple myeloma.

Authors:  Fenghuang Zhan; Yongsheng Huang; Simona Colla; James P Stewart; Ichiro Hanamura; Sushil Gupta; Joshua Epstein; Shmuel Yaccoby; Jeffrey Sawyer; Bart Burington; Elias Anaissie; Klaus Hollmig; Mauricio Pineda-Roman; Guido Tricot; Frits van Rhee; Ronald Walker; Maurizio Zangari; John Crowley; Bart Barlogie; John D Shaughnessy
Journal:  Blood       Date:  2006-05-25       Impact factor: 22.113

4.  Cytogenetic abnormalities correlate with the plasma cell labeling index and extent of bone marrow involvement in myeloma.

Authors:  S V Rajkumar; R Fonseca; G W Dewald; T M Therneau; M Q Lacy; R A Kyle; P R Greipp; M A Gertz
Journal:  Cancer Genet Cytogenet       Date:  1999-08

5.  Prognostic and biological implications of genetic abnormalities in multiple myeloma undergoing autologous stem cell transplantation: t(4;14) is the most relevant adverse prognostic factor, whereas RB deletion as a unique abnormality is not associated with adverse prognosis.

Authors:  N C Gutiérrez; M V Castellanos; M L Martín; M V Mateos; J M Hernández; M Fernández; D Carrera; L Rosiñol; J M Ribera; J M Ojanguren; L Palomera; S Gardella; L Escoda; J C Hernández-Boluda; J L Bello; J de la Rubia; J J Lahuerta; J F San Miguel
Journal:  Leukemia       Date:  2006-10-05       Impact factor: 11.528

6.  International staging system for multiple myeloma.

Authors:  Philip R Greipp; Jesus San Miguel; Brian G M Durie; John J Crowley; Bart Barlogie; Joan Bladé; Mario Boccadoro; J Anthony Child; Herve Avet-Loiseau; Jean-Luc Harousseau; Robert A Kyle; Juan J Lahuerta; Heinz Ludwig; Gareth Morgan; Raymond Powles; Kazuyuki Shimizu; Chaim Shustik; Pieter Sonneveld; Patrizia Tosi; Ingemar Turesson; Jan Westin
Journal:  J Clin Oncol       Date:  2005-04-04       Impact factor: 44.544

7.  Treatment of newly diagnosed multiple myeloma based on Mayo Stratification of Myeloma and Risk-adapted Therapy (mSMART): consensus statement.

Authors:  Angela Dispenzieri; S Vincent Rajkumar; Morie A Gertz; Rafael Fonseca; Martha Q Lacy; P Leif Bergsagel; Robert A Kyle; Philip R Greipp; Thomas E Witzig; Craig B Reeder; John A Lust; Stephen J Russell; Suzanne R Hayman; Vivek Roy; Shaji Kumar; Steven R Zeldenrust; Robert J Dalton; A Keith Stewart
Journal:  Mayo Clin Proc       Date:  2007-03       Impact factor: 7.616

8.  A practical guide to defining high-risk myeloma for clinical trials, patient counseling and choice of therapy.

Authors:  A K Stewart; P L Bergsagel; P R Greipp; A Dispenzieri; M A Gertz; S R Hayman; S Kumar; M Q Lacy; J A Lust; S J Russell; T E Witzig; S R Zeldenrust; D Dingli; C B Reeder; V Roy; R A Kyle; S V Rajkumar; R Fonseca
Journal:  Leukemia       Date:  2007-01-18       Impact factor: 11.528

9.  Bortezomib appears to overcome the poor prognosis conferred by chromosome 13 deletion in phase 2 and 3 trials.

Authors:  S Jagannath; P G Richardson; P Sonneveld; M W Schuster; D Irwin; E A Stadtmauer; T Facon; J-L Harousseau; J M Cowan; K C Anderson
Journal:  Leukemia       Date:  2006-11-09       Impact factor: 11.528

10.  Benefit of complete response in multiple myeloma limited to high-risk subgroup identified by gene expression profiling.

Authors:  Jeffrey Haessler; John D Shaughnessy; Fenghuang Zhan; John Crowley; Joshua Epstein; Frits van Rhee; Elias Anaissie; Mauricio Pineda-Roman; Maurizio Zangari; Klaus Hollmig; Abid Mohiuddin; Yazan Alsayed; Antje Hoering; Guido Tricot; Bart Barlogie
Journal:  Clin Cancer Res       Date:  2007-12-01       Impact factor: 12.531

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  31 in total

Review 1.  Update on risk stratification and treatment of newly diagnosed multiple myeloma.

Authors:  Prashant Kapoor; S Vincent Rajkumar
Journal:  Int J Hematol       Date:  2011-10-18       Impact factor: 2.490

2.  Impact of gene expression profiling-based risk stratification in patients with myeloma receiving initial therapy with lenalidomide and dexamethasone.

Authors:  Shaji K Kumar; Hajime Uno; Susanna J Jacobus; Scott A Van Wier; Greg J Ahmann; Kimberly J Henderson; Natalie S Callander; Jessica L Haug; David S Siegel; Philip R Greipp; Rafael Fonseca; S Vincent Rajkumar
Journal:  Blood       Date:  2011-08-22       Impact factor: 22.113

3.  Impact of cytogenetic classification on outcomes following early high-dose therapy in multiple myeloma.

Authors:  G P Kaufman; M A Gertz; A Dispenzieri; M Q Lacy; F K Buadi; D Dingli; S R Hayman; P Kapoor; J A Lust; S Russell; R S Go; Y L Hwa; R A Kyle; S V Rajkumar; S K Kumar
Journal:  Leukemia       Date:  2015-10-21       Impact factor: 11.528

4.  Fluorescence in situ hybridization analysis of chromosome aberrations in 60 Chinese patients with multiple myeloma.

Authors:  Xiao Gao; Chunming Li; Run Zhang; Ruifang Yang; Xiaoyan Qu; Hairong Qiu; Jiaren Xu; Hua Lu; Jianyong Li; Lijuan Chen
Journal:  Med Oncol       Date:  2011-05-25       Impact factor: 3.064

5.  Conventional Cytogenetics and Interphase Fluorescence In Situ Hybridization Results in Multiple Myeloma: A Turkey Laboratory Analysis of 381 Cases.

Authors:  Cigdem Aydin; Turgay Ulas; Ceren Hangul; Orhan Kemal Yucel; Utku Iltar; Ozan Salim; Deniz Ekinci; Sibel Berker Karauzum
Journal:  Indian J Hematol Blood Transfus       Date:  2019-10-25       Impact factor: 0.900

6.  Combining fluorescent in situ hybridization data with ISS staging improves risk assessment in myeloma: an International Myeloma Working Group collaborative project.

Authors:  H Avet-Loiseau; B G M Durie; M Cavo; M Attal; N Gutierrez; J Haessler; H Goldschmidt; R Hajek; J H Lee; O Sezer; B Barlogie; J Crowley; R Fonseca; N Testoni; F Ross; S V Rajkumar; P Sonneveld; J Lahuerta; P Moreau; G Morgan
Journal:  Leukemia       Date:  2012-10-03       Impact factor: 11.528

7.  Late relapses following reduced intensity allogeneic transplantation in patients with multiple myeloma: a long-term follow-up study.

Authors:  Firoozeh Sahebi; Yan Shen; Sandra H Thomas; Amalia Rincon; Joyce Murata-Collins; Joycelynne Palmer; Amrita Y Krishnan; Chatchada Karanes; Myo Htut; George Somlo; Stephen J Forman
Journal:  Br J Haematol       Date:  2012-11-15       Impact factor: 6.998

8.  Implications of continued response after autologous stem cell transplantation for multiple myeloma.

Authors:  Wilson I Gonsalves; Morie A Gertz; Angela Dispenzieri; Martha Q Lacy; Yi Lin; Preet P Singh; Vinay Gupta; Suzanne R Hayman; Francis K Buadi; David Dingli; Prashant Kapoor; Arleigh R McCurdy; Shaji K Kumar
Journal:  Blood       Date:  2013-07-17       Impact factor: 22.113

9.  SAR650984 directly induces multiple myeloma cell death via lysosomal-associated and apoptotic pathways, which is further enhanced by pomalidomide.

Authors:  H Jiang; C Acharya; G An; M Zhong; X Feng; L Wang; N Dasilva; Z Song; G Yang; F Adrian; L Qiu; P Richardson; N C Munshi; Y-T Tai; K C Anderson
Journal:  Leukemia       Date:  2015-09-04       Impact factor: 11.528

10.  The prognostic significance of CD45 expression by clonal bone marrow plasma cells in patients with newly diagnosed multiple myeloma.

Authors:  Wilson I Gonsalves; Michael M Timm; S Vincent Rajkumar; William G Morice; Angela Dispenzieri; Francis K Buadi; Martha Q Lacy; David Dingli; Nelson Leung; Prashant Kapoor; Robert A Kyle; Morie A Gertz; Shaji K Kumar
Journal:  Leuk Res       Date:  2016-03-10       Impact factor: 3.156

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