MALDI-TOF-MS Performance for M-Protein Detection in 137 Plasma Cell Disorder Patients

A study evaluating matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF-MS) for detecting monoclonal (M) proteins in blood samples. The dataset includes results from 137 newly diagnosed plasma cell disorder patients, comparing MALDI-TOF-MS performance against standard methods like immunofixation electrophoresis and serum protein electrophoresis. The research, authored by Mengmeng Dong and shared on figshare, reports detection rates, sensitivity for light chain and immunoglobulin identification, and observations on post-translational modifications.

Use Cases

• Benchmarking MALDI-TOF-MS detection sensitivity against SPEP/IFE/sFLC based on reported performance metrics
• Analyzing correlations between light chain glycosylation detected by MALDI-TOF-MS and patient treatment response
• Comparing M-protein identification rates across different plasma cell disorder subtypes mentioned in the cohort
• Evaluating the supplementary value of post-translational modification analysis for clinical proteomics

Strengths

• Includes data from 137 newly diagnosed patients, providing a defined clinical cohort size
• Reports specific performance metrics, such as a 98.5% detection rate for serum-based MALDI-TOF-MS
• Contains results for multiple PCD subtypes, including 116 multiple myeloma cases
• Provides sensitivity figures for identifying specific light chains (κ, λ) and immunoglobulins (IgG, IgA)

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect temporal or source bias inherent to the single-study cohort from figshare

Provenance

Source

figshare, authored by Mengmeng Dong

Collection Method

Laboratory analysis of blood samples from 137 newly diagnosed patients using MALDI-TOF-MS and standard clinical methods.

Freshness

Last updated 2026-04-28 06:40:11; freshness should be verified