Literature DB >> 33351127

Prognostic and predictive performance of R-ISS with SKY92 in older patients with multiple myeloma: the HOVON-87/NMSG-18 trial.

Rowan Kuiper1, Sonja Zweegman2, Mark van Duin1, Martin H van Vliet3, Erik H van Beers3, Belinda Dumee3, Michael Vermeulen1, Jasper Koenders1, Bronno van der Holt4, Heleen Visser-Wisselaar4, Markus Hansson5,6, Annette W G van der Velden7, H Berna Beverloo8, Marian Stevens-Kroef9, Mark-David Levin10, Annemiek Broijl1, Anders Waage11, Pieter Sonneveld1.   

Abstract

The standard prognostic marker for multiple myeloma (MM) patients is the revised International Staging System (R-ISS). However, there is room for improvement in guiding treatment. This applies particularly to older patients, in whom the benefit/risk ratio is reduced because of comorbidities and subsequent side effects. We hypothesized that adding gene-expression data to R-ISS would generate a stronger marker. This was tested by combining R-ISS with the SKY92 classifier (SKY-RISS). The HOVON-87/NMSG-18 trial (EudraCT: 2007-004007-34) compared melphalan-prednisone-thalidomide followed by thalidomide maintenance (MPT-T) with melphalan-prednisone-lenalidomide followed by lenalidomide maintenance (MPR-R). From this trial, 168 patients with available R-ISS status and gene-expression profiles were analyzed. R-ISS stages I, II, and III were assigned to 8%, 75%, and 7% of patients, respectively (3-year overall survival [OS] rates: 80%, 65%, 33%, P = 8 × 10-3). Using the SKY92 classifier, 13% of patients were high risk (HR) (3-year OS rates: standard risk [SR], 70%; HR, 28%; P < .001). Combining SKY92 with R-ISS resulted in 3 risk groups: SKY-RISS I (SKY-SR + R-ISS-I; 15%), SKY-RISS III (SKY-HR + R-ISS-II/III; 11%), and SKY-RISS II (all other patients; 74%). The 3-year OS rates for SKY-RISS I, II, and III are 88%, 66%, and 26%, respectively (P = 6 × 10-7). The SKY-RISS model was validated in older patients from the CoMMpass dataset. Moreover, SKY-RISS demonstrated predictive potential: HR patients appeared to benefit from MPR-R over MPT-T (median OS, 55 and 14 months, respectively). Combined, SKY92 and R-ISS classify patients more accurately. Additionally, benefit was observed for MPR-R over MPT-T in SKY92-RISS HR patients only.
© 2020 by The American Society of Hematology.

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Year:  2020        PMID: 33351127      PMCID: PMC7756986          DOI: 10.1182/bloodadvances.2020002838

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


  34 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.  Prognostic Validation of SKY92 and Its Combination With ISS in an Independent Cohort of Patients With Multiple Myeloma.

Authors:  Erik H van Beers; Martin H van Vliet; Rowan Kuiper; Leonie de Best; Kenneth C Anderson; Ajai Chari; Sundar Jagannath; Andrzej Jakubowiak; Shaji K Kumar; Joan B Levy; Daniel Auclair; Sagar Lonial; Donna Reece; Paul Richardson; David S Siegel; A Keith Stewart; Suzanne Trudel; Ravi Vij; Todd M Zimmerman; Rafael Fonseca
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2017-07-04

3.  Melphalan and prednisone plus thalidomide or placebo in elderly patients with multiple myeloma.

Authors:  Anders Waage; Peter Gimsing; Peter Fayers; Niels Abildgaard; Lucia Ahlberg; Bo Björkstrand; Kristina Carlson; Inger Marie Dahl; Karin Forsberg; Nina Gulbrandsen; Einar Haukås; Oyvind Hjertner; Martin Hjorth; Torbjörn Karlsson; Lene Meldgaard Knudsen; Johan Lanng Nielsen; Olle Linder; Ulf-Henrik Mellqvist; Ingerid Nesthus; Jürgen Rolke; Maria Strandberg; Jon Hjalmar Sørbø; Finn Wisløff; Gunnar Juliusson; Ingemar Turesson
Journal:  Blood       Date:  2010-05-06       Impact factor: 22.113

4.  Next Generation Sequencing-based Validation of the Revised International Staging System for Multiple Myeloma: An Analysis of the MMRF CoMMpass Study.

Authors:  Scott R Goldsmith; Mark A Fiala; James Dukeman; Armin Ghobadi; Keith Stockerl-Goldstein; Mark A Schroeder; Michael Tomasson; Tanya M Wildes; Ravi Vij
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2019-01-19

5.  A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1.

Authors:  John D Shaughnessy; Fenghuang Zhan; Bart E Burington; Yongsheng Huang; Simona Colla; Ichiro Hanamura; James P Stewart; Bob Kordsmeier; Christopher Randolph; David R Williams; Yan Xiao; Hongwei Xu; Joshua Epstein; Elias Anaissie; Somashekar G Krishna; Michele Cottler-Fox; Klaus Hollmig; Abid Mohiuddin; Mauricio Pineda-Roman; Guido Tricot; Frits van Rhee; Jeffrey Sawyer; Yazan Alsayed; Ronald Walker; Maurizio Zangari; John Crowley; Bart Barlogie
Journal:  Blood       Date:  2006-11-14       Impact factor: 22.113

6.  The role of maintenance thalidomide therapy in multiple myeloma: MRC Myeloma IX results and meta-analysis.

Authors:  Gareth J Morgan; Walter M Gregory; Faith E Davies; Sue E Bell; Alexander J Szubert; Julia M Brown; Nuria N Coy; Gordon Cook; Nigel H Russell; Claudius Rudin; Huw Roddie; Mark T Drayson; Roger G Owen; Fiona M Ross; Graham H Jackson; J Anthony Child
Journal:  Blood       Date:  2011-10-20       Impact factor: 22.113

7.  Oral melphalan and prednisone chemotherapy plus thalidomide compared with melphalan and prednisone alone in elderly patients with multiple myeloma: randomised controlled trial.

Authors:  Antonio Palumbo; Sara Bringhen; Tommaso Caravita; Emanuela Merla; Vincenzo Capparella; Vincenzo Callea; Clotilde Cangialosi; Mariella Grasso; Fausto Rossini; Monica Galli; Lucio Catalano; Elena Zamagni; Maria Teresa Petrucci; Valerio De Stefano; Manuela Ceccarelli; Maria Teresa Ambrosini; Ilaria Avonto; Patrizia Falco; Giovannino Ciccone; Anna Marina Liberati; Pellegrino Musto; Mario Boccadoro
Journal:  Lancet       Date:  2006-03-11       Impact factor: 79.321

Review 8.  Thalidomide analogues as anticancer drugs.

Authors:  Jeanny B Aragon-Ching; Haiqing Li; Erin R Gardner; William D Figg
Journal:  Recent Pat Anticancer Drug Discov       Date:  2007-06       Impact factor: 4.169

9.  High somatic mutation and neoantigen burden are correlated with decreased progression-free survival in multiple myeloma.

Authors:  A Miller; Y Asmann; L Cattaneo; E Braggio; J Keats; D Auclair; S Lonial; S J Russell; A K Stewart
Journal:  Blood Cancer J       Date:  2017-09-22       Impact factor: 11.037

10.  Prediction of high- and low-risk multiple myeloma based on gene expression and the International Staging System.

Authors:  Rowan Kuiper; Mark van Duin; Martin H van Vliet; Annemiek Broijl; Bronno van der Holt; Laila El Jarari; Erik H van Beers; George Mulligan; Hervé Avet-Loiseau; Walter M Gregory; Gareth Morgan; Hartmut Goldschmidt; Henk M Lokhorst; Pieter Sonneveld
Journal:  Blood       Date:  2015-09-01       Impact factor: 22.113

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  8 in total

Review 1.  High-risk disease in newly diagnosed multiple myeloma: beyond the R-ISS and IMWG definitions.

Authors:  Patrick Hagen; Jiwang Zhang; Kevin Barton
Journal:  Blood Cancer J       Date:  2022-05-30       Impact factor: 9.812

2.  Prognostic gene expression analysis in a retrospective, multinational cohort of 155 multiple myeloma patients treated outside clinical trials.

Authors:  Yan-Ting Chen; Erik T Valent; Erik H van Beers; Rowan Kuiper; Stefania Oliva; Torsten Haferlach; Wee-Joo Chng; Martin H van Vliet; Pieter Sonneveld; Alessandra Larocca
Journal:  Int J Lab Hematol       Date:  2021-08-26       Impact factor: 3.450

Review 3.  Gene expression profiling as a prognostic tool in multiple myeloma.

Authors:  Harmony Black; Siobhan Glavey
Journal:  Cancer Drug Resist       Date:  2021-12-01

Review 4.  Risk Stratification Before and During Treatment in Newly Diagnosed Multiple Myeloma: From Clinical Trials to the Real-World Setting.

Authors:  Francesca Bonello; Lorenzo Cani; Mattia D'Agostino
Journal:  Front Oncol       Date:  2022-03-09       Impact factor: 6.244

Review 5.  Gene Expression Profiling in Multiple Myeloma: Redefining the Paradigm of Risk-Adapted Treatment.

Authors:  Claudio Cerchione; Saad Z Usmani; A Keith Stewart; Martin Kaiser; Leo Rasche; Martin Kortüm; María-Victoria Mateos; Andrew Spencer; Pieter Sonneveld; Kenneth C Anderson
Journal:  Front Oncol       Date:  2022-02-08       Impact factor: 6.244

6.  Prognostic Stratification of Multiple Myeloma Using Clinicogenomic Models: Validation and Performance Analysis of the IAC-50 Model.

Authors:  Adrián Mosquera Orgueira; Marta Sonia González Pérez; José Ángel Díaz Arias; Beatriz Antelo Rodríguez; María-Victoria Mateos
Journal:  Hemasphere       Date:  2022-08-02

7.  Correlations between apparent diffusion coefficient values of WB-DWI and clinical parameters in multiple myeloma.

Authors:  Bei Zhang; Bingyang Bian; Zhiwei Zhao; Fang Lin; Zining Zhu; Mingwu Lou
Journal:  BMC Med Imaging       Date:  2021-06-08       Impact factor: 1.930

Review 8.  Multiple Myeloma: Heterogeneous in Every Way.

Authors:  Anaïs Schavgoulidze; Titouan Cazaubiel; Aurore Perrot; Hervé Avet-Loiseau; Jill Corre
Journal:  Cancers (Basel)       Date:  2021-03-13       Impact factor: 6.639

  8 in total

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