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Integration between MCL1 gene co-expression module and the Revised International Staging System enables precise prognostication and prediction of response to proteasome inhibitor-based therapy in individual multiple myeloma

ABSTRACT: We recently identified a gene module of 87 genes co-expressed with MCL1 (MCL1-M), a critical regulator of plasma cell survival. MCL1-M captures both MM cell-intrinsically acting signals and the signals regulating the interaction between MM cells with bone marrow microenvironment. MM can be clustered into MCL1-M high and MCL1-M low subtypes. While the MCL1-M high MMs are enriched in a preplasmablast signature, the MCL1-M low MMs are enriched in B cell-specific genes. In multiple independent datasets, MCL1-M high MMs exhibited poorer prognosis compared to MCL1-M low MMs. Re-analysis of the phase III HOVON-65/GMMG-HD4 showed that only MCL1-M MMs, but not MCL1-M low MMs, benefited from bortezomib-based treatment. To translate the MCL1-M clustering scheme into a platform for individual diagnosis, we refined the classifier genes and developed a support vector machine-based algorithm. Individual MMs with transcriptome assessed at the RNA-seq or U133 plus 2.0 array platform can be robustly assigned as the MCL1-M high or low subtype with high confidence. Analyses of the MM samples in the HOVON-65/GMMG-HD4 trial and APEX trial reinforce that only MCL1-M high MMs benefit from bortezomib-based treatment with a hazard ratio of 0.58 (P = 0.010) and 0.47 (P = 0.009), respectively. Thus, MCL1-M based subtyping assigns MMs into prognostic and predictive molecular subtypes driven by subtype-specific pathogenic pathways.

ORGANISM(S): Homo sapiens

PROVIDER: GSE190042 | GEO | 2024/12/01

REPOSITORIES: GEO

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Project description:Performing GWAS on multiple myeloma in relation to the development of the toxicity neuropathy. This set was used as validation set. We performed a genome-wide association study using Affymetrix HD-SNP arrays 6.0 to identify risk variants for developing bortezomib-induced peripheral neuropathy (BiPN) in 469 multiple myeloma (MM) patients who received bortezomib-dexamethasone therapy prior to autologous stem-cell transplantation and conducted validation in an independent cohort of 116 MM patients. We identified one previously unreported BiPN risk locus at 21q22.3 (rs2839629, PKNOX1; OR = 0.53, 95% CI: [0.40-0.69]). PKNOX1 is known to regulate MCP-1, a potent mediator of chemotherapy-induced peripheral neuropathy. rs2839629 is in strong linkage disequilibrium ( r2 = 0.87) with rs915854, localized 6.5kb centromeric to CBS encoding endogenous H2S-producing enzyme. CBS-H2S signalling pathway is implicated in the pathogenesis of a variety of neurodegenerative and inflammatory disorders, and specifically in neuropathy models. Our data provide conclusive evidence for genetic susceptibility to BiPN in MM and new potential targets in neuro-protective strategies of treatment. Each patient of both IFM and HOVON cohorts was genotyped using the Affymetrix SNP6.0 Human DNA chip (Affymetrix, Santa Clara, CA) according to manufacturerâs instructions (Affymetrix, Santa Clara, CA). The HOVON65 samples were genotyped using CRLMM v2 resulting in a call rate higher than 95%. Unannotated SNPs according to the hg19 na32 SNP6 Affymetrix annotations (n= 130) along with SNPs from MT and sexual chromosomes (n= 37,326) were not considered in the study. To perform GWAS in the IFM cohort, we used stringent criteria to select a total of 370,605 SNPs from the 872,166 SNPs available onto the array. A SNP was analysed if an AA or BB genotype was present in more than 5% of patients, if its genotype was determined in at least 95% of the patients and if the Hardy-Weinberg rule was not rejected. Statistical analyses were performed using SNPTEST v2.5.11. Firstly, we compared 370,605 genotypes from 155 IFM patients with neuropathy (grade >= 2) after bortezomib exposure to 314 control patients treated with bortezomib who did not develop neuropathy (grade 0-1). Secondly, we performed a validation in the HOVON 65/GMMG-HD4cohort for the highest associated SNPs as identified in the discovery cohort. We compared 41 bortezomib-treated patients with neuropathy (grade >= 2) with 75 bortezomib-treated controls who did not develop neuropathy. We applied a one-sided logistic regression with 10,000 label swapping permutations to correct for multiple testing in order to confirm BiPN association in this independent cohort. This set was used as a validation set. An independent dataset was used for discovery [GSE65777].

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Integration between MCL1 gene co-expression module and the Revised International Staging System enables precise prognostication and prediction of response to proteasome inhibitor-based therapy in individual multiple myeloma

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