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

ABSTRACT: Patients with multiple myeloma have variable survival and require reliable prognostic and predictive scoring systems. Currently, clinical and biological risk markers are used independently. Here, International Staging System (ISS), fluorescence in situ hybridization (FISH) markers, and gene expression (GEP) classifiers were combined to identify novel risk classifications in a discovery/validation setting. We used the datasets of the Dutch-Belgium Hemato-Oncology Group and German-speaking Myeloma Multicenter Group (HO65/GMMG-HD4), University of Arkansas for Medical Sciences-TT2 (UAMS-TT2), UAMS-TT3, Medical Research Council-IX, Assessment of Proteasome Inhibition for Extending Remissions, and Intergroupe Francophone du Myelome (IFM-G) (total number of patients: 4750). Twenty risk markers were evaluated, including t(4;14) and deletion of 17p (FISH), EMC92, and UAMS70 (GEP classifiers), and ISS. The novel risk classifications demonstrated that ISS is a valuable partner to GEP classifiers and FISH. Ranking all novel and existing risk classifications showed that the EMC92-ISS combination is the strongest predictor for overall survival, resulting in a 4-group risk classification. The median survival was 24 months for the highest risk group, 47 and 61 months for the intermediate risk groups, and the median was not reached after 96 months for the lowest risk group. The EMC92-ISS classification is a novel prognostic tool, based on biological and clinical parameters, which is superior to current markers and offers a robust, clinically relevant 4-group model.

SUBMITTER: Kuiper R

PROVIDER: S-EPMC4616233 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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

Kuiper Rowan R van Duin Mark M van Vliet Martin H MH Broijl Annemiek A van der Holt Bronno B El Jarari Laila L van Beers Erik H EH Mulligan George G Avet-Loiseau Hervé H Gregory Walter M WM Morgan Gareth G Goldschmidt Hartmut H Lokhorst Henk M HM Sonneveld Pieter P

Blood 20150901 17

Patients with multiple myeloma have variable survival and require reliable prognostic and predictive scoring systems. Currently, clinical and biological risk markers are used independently. Here, International Staging System (ISS), fluorescence in situ hybridization (FISH) markers, and gene expression (GEP) classifiers were combined to identify novel risk classifications in a discovery/validation setting. We used the datasets of the Dutch-Belgium Hemato-Oncology Group and German-speaking Myeloma ...[more]

PMID: 26330243

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Project description:Despite ongoing therapeutic advances, multiple myeloma (MM) remains largely incurable, and outcomes in patients who develop resistance to immunomodulatory drugs or proteasome inhibitors remain grim. Allogeneic hematopoietic cell transplantation (alloHCT) is an alternative option that may offer potential for cure. Although rates of transplantation-related morbidity and mortality have decreased in recent years, weighing this approach's potential benefits against nontransplantation therapies demands a thoroughly informed pre-alloHCT assessment. Here we assess the impact of pre-alloHCT variables on important clinical outcomes in a large cohort of relapsed refractory MM (RRMM) CD34+-selected alloHCT recipients. We included all patients with MM who underwent CD34+-selected alloHCT at our center between June 2010 and December 2015. Patients were conditioned with busulfan (0.8 mg/kg × 10), melphalan (70 mg/m2 × 2), and fludarabine (25 mg/m2 × 5), followed by infusion of a CD34+-selected peripheral blood stem cell graft, without post-alloHCT graft-versus-host disease (GVHD) prophylaxis. The 73-patient cohort had a median age of 55 years (range, 37 to 66 years). Overall survival (OS) and progression-free survival (PFS) rates were 70% and 53%, respectively, at 1 year (95% confidence interval [CI], 58% to 79% and 41% to 64%) and 50% and 30%, respectively, at 3 years (95% CI, 38% to 62% and 19% to 41%). The cumulative incidence of relapse was 25% at 1 year (95% CI, 15% to 35%) and 47% at 3 years (95% CI, 35% to 58%). Nonrelapse mortality at 1 year was 22% (95% CI, 13% to 32%). The cumulative incidence of grade II-IV acute GVHD (aGVHD) was 7% at 100 days (95% CI, 3% to 14%), and that of any chronic GVHD (cGVHD) was 8% at 1 year (95% CI, 3% to 16%). International Staging System (ISS) stage II-III assessed before salvage therapy was associated with poorer 3-year OS (30% versus 54%; P = .037) and 3-year PFS (9% versus 33%; P = .013), and increased 3-year relapse incidence (72% versus 39%; P = .004). Older age and GVHD before 6 months (aGVHD grade II-IV or cGVHD of any grade) were also associated with poorer OS, and a greater number of pre-alloHCT lines of therapy was also associated with increased relapse incidence. Our findings reinforce that CD34+-selected alloHCT can achieve prolonged disease control and long-term survival in high- risk, heavily treated refractory MM populations. We also identified numerous pre-alloHCT variables associated with OS, PFS, and relapse. Amongst these, presalvage ISS stage II-III was consistently associated with poorer survival and relapse outcomes. Given the lack of established alternate therapies for patients with RRMM, we advocate the identification of adverse pre-alloHCT variables to inform alloHCT decision making rather than to exclude patient cohorts from this potentially curative treatment option.

Dataset Information

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

Publications

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

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