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Record W3217731526 · doi:10.1182/blood-2021-149785

M-Protein Sequencing and Monitoring in Serum of LC-Only Multiple Myeloma Patients

2021· article· en· W3217731526 on OpenAlexaffabout
Mariya Liyasova, Natalia Migdal, Zac McDonald, Liqiang Yang, Bin Ma, J Píza, Donna Reece, Elisabet E. Manasanch, Robert Z. Orlowski, Suzanne Trudel, Gregory P. Kaufman

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of Waterloo
Fundersnot available
KeywordsMedicineMultiple myelomaMelphalanSerum protein electrophoresisInternal medicineThalidomideLenalidomideBone marrowBortezomibAntibodyImmunofixationGastroenterologyImmunologyMonoclonalMonoclonal antibody

Abstract

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Abstract Background M-protein, a secreted antibody of malignant plasma cells, is a gold standard biomarker for monitoring the disease status in multiple myeloma (MM) patients (pts). The development of peripheral blood based ultrasensitive (MRD) methods of M protein detection is of high interest and importance. In 20% of MM pts, the M-protein consists of only the light chain (LC) of the immunoglobulin (Ig) molecule. For these LC-only MM pts, disease monitoring is challenging due to low levels of M-protein in serum. Urine protein electrophoresis (UPEP) and immunofixation electrophoresis (IFE), or serum free light chain (FLC) lack the sensitivity and/or specificity to track the M-protein in these pts, while bone marrow-based assays cannot be performed frequently due to their invasive nature. Thus, we evaluated the performance of EasyM, a mass spectrometry(MS)-based, non-invasive, sensitive assay for monitoring M-protein levels in LC-only patients in the MCRN-001 Canadian national and MD Anderson VRD-panobinostat frontline trials. Methods MCRN-001 trial is evaluating enhanced conditioning prior to ASCT for newly diagnosed MM (NDMM). After treatment with bortezomib (BTZ) based induction eligible MM pts received BuMel prior to ASCT. Busulfan was administered via IV at 3.2 mg/kg on days -5 to -3, or days -6 to -4 pre-ASCT (day 0) and melphalan was given at 140 mg/m 2 on day -2 or -3 pre-ASCT. Lenalidomide (LEN) administration began 100 days post-ASCT at 10 mg/d and continued until progressive disease (PD) onset. In the MDACC 2011-0192 frontline study in newly diagnosed MM, transplant-eligible pts received the novel combination of LEN, BTZ, dexamethasone (DEX) and panobinostat (RVD-panobinostat). The IMWG criteria were used to monitor clinical response in both trials. A total of 13 LC-only MM pts were selected for the study. Local IRB approval was obtained prior to the study. To derive the M-protein's full amino acid sequence, FLC was first enriched from the diagnostic serum sample. The FLC enrichment consisted of IgG depletion with protein A/G beads, followed by affinity purification of kappa or lambda LC containing Igs. Non-reducing PAGE was then used to separate FLC monomers, FLC dimers and full-length Igs. Finally, in-gel digestion of FLC monomers and dimers by multiple proteolytic enzymes were analyzed on a Q-Exactive mass spectrometer. Data analysis and sequence assembly were performed with the REmAb protein sequencing platform. To monitor M-protein levels in serum, unique, tryptic peptides from sequenced FLC were selected and quantified in diagnostic and follow-up samples with a PRM assay on a Q-Exactive instrument. Results M-protein sequencing The full FLC sequence was derived for 8 out of 13 (61.5%) LC-only pts. The M-protein was successfully sequenced even when the FLC concentration was as low as 147 mg/L. However, FLC concentration measured by FreeLite assay was not a reliable predictor of our ability to derive the full sequence. The appearance of a sharp FLC monomer and dimer bands on PAGE after FLC enrichment was a better predictor of the M-protein sequencing success. M-protein monitoring The M-protein of one pt did not contain any unique peptides. This pt was excluded for further analysis. In the remaining 7 pts, the M-protein contained at least one unique peptide and could thus be monitored by EasyM. For 6 LC-only pts, the M-protein monitored by EasyM correlated with the disease status measured by serum FLC, UPEP and urine IFE. A separate serial dilution test estimated that the limit of quantification can reach as low as 0.13 mg/L. Figure 1 shows representative data for two LC-only patients. One pt experienced relapse during the study; however, this relapse could not be detected by EasyM. This result could indicate a possible clonal switch at time of disease progression, but further investigation is needed to verify this. Conclusions Due to the rapid turnover and clearance of light chains conventional blood/urine tests have lacked the higher sensitivity needed to monitor disease state in LC only MM patients. To overcome the lower FLC concentration the current study successfully applied LC enrichment strategies to enable the sequencing and high sensitivity monitoring of FLC M-protein by MS in blood. The EasyM LC assay is non-invasive, sensitive, capable of assessing disease status, and has potential to be further investigated as a peripheral blood myeloma response and MRD monitoring biomarker. Figure 1 Figure 1. Disclosures Ma: Rapid Novor Inc.: Current holder of individual stocks in a privately-held company. Reece: Millennium: Research Funding; Amgen: Consultancy, Honoraria; GSK: Honoraria; Karyopharm: Consultancy, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Sanofi: Honoraria; BMS: Honoraria, Research Funding. Manasanch: GSK, Secura Bio,Takeda, Celgene, Sanofi, Janssen and Adaptive Biotechnologies: Consultancy; Sanofi, Quest Diagnostics, Novartis, JW Pharma, Merck: Research Funding. Orlowski: Amgen, Inc., BioTheryX, Inc., Bristol-Myers Squibb, Celgene, EcoR1 Capital LLC, Genzyme, GSK Biologicals, Janssen Biotech, Karyopharm Therapeutics, Inc., Neoleukin Corporation, Oncopeptides AB, Regeneron Pharmaceuticals, Inc., Sanofi-Aventis, and Takeda P: Consultancy, Honoraria; CARsgen Therapeutics, Celgene, Exelixis, Janssen Biotech, Sanofi-Aventis, Takeda Pharmaceuticals North America, Inc.: Other: Clinical research funding; Asylia Therapeutics, Inc., BioTheryX, Inc., and Heidelberg Pharma, AG.: Other: Laboratory research funding; Asylia Therapeutics, Inc.: Current holder of individual stocks in a privately-held company, Patents & Royalties; Amgen, Inc., BioTheryX, Inc., Bristol-Myers Squibb, Celgene, Forma Therapeutics, Genzyme, GSK Biologicals, Janssen Biotech, Juno Therapeutics, Karyopharm Therapeutics, Inc., Kite Pharma, Neoleukin Corporation, Oncopeptides AB, Regeneron Pharmaceuticals, I: Membership on an entity's Board of Directors or advisory committees. Trudel: GlaxoSmithKline: Consultancy, Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Roche: Consultancy; Genentech: Research Funding; Pfizer: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Sanofi: Honoraria; BMS/Celgene: Consultancy, Honoraria, Research Funding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.278
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes2
Has abstractyes

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