Dataset Information

Proteomics-based approach reveals the involvement of SERPINB9 in recurrent and relapsed multiple myeloma

ABSTRACT: Multiple myeloma (MM) is a common hematological malignancy with poorly understood recurrence and relapse mechanisms. Notably, bortezomib resistance leading to relapse makes MM treatment significantly challenging. To clarify the drug resistance mechanism, we employed a quantitative proteomics approach to identify differentially expressed protein candidates implicated in bortezomib-resistant recurrent and relapsed MM (RRMM). Bone marrow biopsy specimens from five patients newly diagnosed with MM (NDMM) were compared with those from five patients diagnosed with bortezomib-resistant RRMM using tandem mass tag-mass spectrometry (TMT-MS). Subcellular localization and functional classification of the differentially expressed proteins were determined by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and hierarchical clustering. Top candidates identified were validated with parallel reaction monitoring (PRM) analysis using tissue samples from 11 NDMM and 8 RRMM patients, followed by comparison with the NCBI Gene Expression Omnibus (GEO) dataset of 10 MM patients and 10 healthy controls (Accession No.: GSE80608). Thirty-four differentially expressed proteins in RRMM, including proteinase inhibitor 9 (SERPINB9) were identified by TMT-MS. Subsequent functional enrichment analyses of the identified protein candidates indicated their involvement in regulating cellular metabolism, apoptosis, programmed cell death, lymphocyte-mediated immunity, and defense response pathways in RRMM. The top protein candidate SERPINB9 was confirmed by PRM analysis as well as by comparison with an NCBI GEO dataset. We elucidated the proteome landscape of bortezomib-resistant RRMM and identified SERPINB9 as a promising novel therapeutic target. Our results provide a resource for future studies on the mechanism of RRMM.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Bone Marrow

SUBMITTER: Lina Quan

LAB HEAD: Aichun Liu

PROVIDER: PXD022182 | Pride | 2021-03-03

REPOSITORIES: Pride

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Proteomics-Based Approach Reveals the Involvement of SERPINB9 in Recurrent and Relapsed Multiple Myeloma.

Chen Yao Y Quan Lina L Jia Chuiming C Guo Yiwei Y Wang Xinya X Zhang Yu Y Jin Yan Y Liu Aichun A

Journal of proteome research 20210302 5

Multiple myeloma (MM) is a common hematological malignancy with poorly understood recurrence and relapse mechanisms. Notably, bortezomib resistance leading to relapse makes MM treatment significantly challenging. To clarify the drug resistance mechanism, we employed a quantitative proteomics approach to identify differentially expressed protein candidates implicated in bortezomib-resistant recurrent and relapsed MM (RRMM). Bone marrow aspirates from five patients newly diagnosed with MM (NDMM) w ...[more]

PMID: 33650432

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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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