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Evaluation of Serum Free Light Chains and Outcome in Multiple Myeloma Patients with an Intact Monoclonal Immunoglobulin Treated with Autologous Stem Cell Transplantation.

2008· article· en· W2573219103 on OpenAlexaff
Young Trieu, Wei Xu, Peter Anglin, Christine Chen, Vishal Kukreti, Suzanne Trudel, Donna Reece

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMultiple myelomaAutologous stem-cell transplantationMedicineTransplantationImmunoglobulin light chainMonoclonal gammopathy of undetermined significanceInternal medicineMonoclonalImmunoglobulin DGastroenterologyMelphalanPlasma cellKappaAntibodyMonoclonal antibodyImmunologyB cell

Abstract

fetched live from OpenAlex

Abstract Introduction: The serum free light chain (FLC) assay is a useful tool in diagnosing and monitoring multiple myeloma (MM) patients (pts) with non-secretory and light chain only disease. In addition, the detection of an abnormal serum FLC ratio is an adverse prognostic factor in pts with monoclonal gammopathy of undetermined significance. However, the relationship of the FLC assay to the outcome of patients with an intact monoclonal immunoglobulin following a single autologous stem cell transplantation (ASCT) has not been studied. Thus, the objective of this single centre, retrospective review study was to evaluate the usefulness of the FLC assay as a predictor for response rate and progression free survival (PFS) in this category of pts. Patients & Methods: We identified in our Princess Margaret Hospital MM database a total of 290 pts who underwent a single ASCT between June 2003 and May 2006. Of these, 65 had an intact monoclonal immunoglobulin (IgG in 47, IgA in 16 and IgD in 2) detected at diagnosis plus FLCs measured at referral. Normal range for FLC measurements is as follows: kappa 3.3–13.1 mg/L, lambda 5.7–26.3 mg/L, and kappa/lambda ratio of 0.26–1.65. Results: The median age at diagnosis was 59 years (range, 34–73); 33 (51%) were male. The median time from diagnosis to ASCT was 9.0 months (range, 5.0–29), with a median follow-up time of 27 months (range, 1.0–58.0). Assessment of best response following ASCT revealed that 20 (31%) pts achieved CR/nCR, 21 (32%) VGPR, 21 (32%) PR, 2 (3%) MR, and 1 (2%) was not evaluable for response. No prognostic factors for response were identified. To date, only 9 pts have died and the median overall survival is not yet reached. The median PFS is 25.4 months, with 36 patients progressing after ASCT. An elevated kappa and lambda light chain was detected in 30 (46%) and 22 (34%) of the 65 pts, respectively. Additionally, 52 (82%) of the 65 pts were found to have an abnormal kappa/lambda ratio. There was no significant difference in the PFS of patients with abnormal vs. normal free kappa light chains or FLC ratio. However, a decreased PFS was associated with elevated levels of serum free lambda light chains (p=0.01), β-2 microglobulin (p=0.007) and LDH (p=0.01). Conclusions: The majority of pts with an intact monoclonal immunoglobulin also have an abnormally high level of the corresponding serum FLC and an abnormal FLC ratio; an elevated serum free lambda level as well as increased β-2 microglobulin and LDH levels, as previously described, were identified as adverse prognostic factors for PFS in this population; we continue to routinely assess serum FLC for all pts at referral; however, longer follow-up is needed to further evaluate the prognostic significance of this parameter on the clinical outcome of pts.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.034
GPT teacher head0.268
Teacher spread0.235 · 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
Published2008
Admission routes1
Has abstractyes

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