PXD069556

PXD069556 is an original dataset announced via ProteomeXchange.

Title	Identification of bone marrow and peripheral blood plasma extracellular vesicle protein biomarker signatures for multiple myeloma diagnosis and staging
Description	Multiple myeloma (MM) is a hematological malignancy characterised by the clonal proliferation of abnormal plasma cells within the bone marrow (BM). Despite advances in treatment that have improved survival, the disease remains incurable. MM diagnosis requires invasive bone marrow biopsy to quantify the percentage of malignant plasma cells. In this study, the potential of extracellular vesicles (EVs) as a non-invasive liquid biopsy for MM diagnosis and staging was investigated. The proteomic content of patient-derived EVs was profiled via mass spectrometry from peripheral blood and bone marrow of 33 MM patients and 12 healthy donors. Biomarker signatures were identified using supervised machine learning to predict asymptomatic MM, progression to symptomatic MM, and relapse. The analysis identified a six-protein biomarker signature, comprising APOC1, KRT78, ALAD, S100A7, LGALS1, and CD226 forming four optimal logistic regression diagnostic MM models with predictive accuracies of >85%. The performance of the identified proteins, supports their potential as a minimally invasive EV-based liquid biopsy in MM diagnosis and monitoring.
HostingRepository	PRIDE
AnnounceDate	2026-08-24
AnnouncementXML	Submission_2026-08-23_19:39:50.972.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Kieran Wynne
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606;
ModificationList	monohydroxylated residue; iodoacetamide derivatized residue
Instrument	timsTOF

Revision	Datetime	Status	ChangeLog Entry
0	2025-10-16 15:10:32	ID requested
⏵ 1	2026-08-23 19:39:51	announced

Cheryl A, Sheridan R, Brennan K, Bazou D, Matallanas D, O'Gorman P, Iglesias-Martinez LF, Mc Gee MM, Identification of Bone Marrow and Peripheral Blood Plasma Extracellular Vesicle Protein Biomarker Signatures for Multiple Myeloma Diagnosis and Staging. Int J Nanomedicine, 21():576858(2026) [pubmed]

10.2147/ijn.s576858;

submitter keyword: machine learning, cancer,multiple myeloma, extracellular vesicles, biomarker signature, proteomic

Margaret Mc Gee
contact affiliation	University College Dublin, School of Biomolecular and Biomedical Science, Conway Institute Belfield Dublin 4
contact email	margaret.mcgee@ucd.ie
lab head
Kieran Wynne
contact affiliation	University College Dublin
contact email	kieran.wynne1@ucd.ie
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD069556
     1. Label: PRIDE project
     2. Name: Identification of bone marrow and peripheral blood plasma extracellular vesicle protein biomarker signatures for multiple myeloma diagnosis and staging