MassIVE MSV000097497

Partial Public PXD062530

Proteomic analysis of bone marrow CD138+ cells to identify proteins associated with the response of multiple myeloma patients to commonly used therapeutic regimens.

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Description

Multiple Myeloma (MM) remains incurable; gaps in our understanding of MM molecular pathogenesis and drugs resistance mechanisms are involved in the failure of therapies to eradicate the disease. This study aims to identify proteins significantly impacting MM patients' response to commonly used therapeutic regimens. Bone marrow CD138+ selected plasma cells were isolated from patients that had achieved Response (Responders, R) and those who were Non-Responders (NR) to their primary MM therapy. We used LC-MS/MS to investigate the proteomic profile of MM samples, followed by statistical and bioinformatics analysis. Collectively, proteomics data obtained from R and NR to MM therapy displayed significant changes in the immune system and protein synthesis regulation, supporting their potential role in progression and therapeutic response of MM. [doi:10.25345/C56T0H81X] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Biomarkers, Cancer, Multiple Myeloma, Proteomics, Therapy ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		Jerome Zoidakis, BRFAA, Greece
Submitting User: mmakrid

Publications

Paradeisi F, Tserga A, Lygirou V, Makridakis M, Stroggilos R, Georgiou G, Spyrou GM, Kostopoulos IV, Liacos CI, Termentzi A, Dimopoulos MA, Tsitsilonis O, Vlahou A, Kastritis E, Zoidakis J.
Proteomic Analysis of Bone Marrow CD138+ Cells to Identify Proteins Associated With the Response of Multiple Myeloma Patients to Commonly Used Therapeutic Regimens.
Proteomics. 2025 Aug;25(16):48-60. doi: 10.1002/pmic.70025. Epub 2025 Aug 7.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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