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Immunoglobulin Recovery after ASCT for Patients with Multiple Myeloma: Impact on Overall Survival and Progression-Free Survival

2016· article· en· W2979307590 on OpenAlexaff
Víctor H. Jiménez‐Zepeda, Peter Duggan, Paola Neri, Ahsan Chaudhry, Jason Tay, Nizar J. Bahlis

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsInstitute of Cancer ResearchUniversity of Calgary
Fundersnot available
KeywordsMedicineMultiple myelomaBortezomibInternal medicineProgression-free survivalLenalidomideOncologyUrologyGastroenterologySurgeryChemotherapy

Abstract

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Abstract Introduction Immunoparesis, defined as suppression of uninvolved immunoglobulins (Igs), has been described as one of the most common indicators of immune dysfunction in patients with multiple myeloma (MM). The role of immunoglobulin recovery, however, has not been properly evaluated, in particular in the setting of immunomodulatory therapy. In the present study, we aimed to assess the impact of immunoparesis and Igs recovery after ASCT on Overall and Progression-Free survival (OS and PFS). Methods All consecutive patients undergoing ASCT at our center from 01/2004 to 03/2016 were evaluated. All patients received induction chemotherapy before undergoing auto-SCT. Patients received conditioning with either HDM at 200 mg/m2 (or adjusted as per renal failure) or HDM with Bortezomib (Bor-HDM). Definitions of response and progression were used according to the EBMT modified criteria. Immunoglobulin recovery was assessed at 12 months post-ASCT in those cases where immunoparesis was noted at diagnosis. Results Clinical characteristics are shown in Table 1. Decrease of uninvolved Ig's was noted in 94% of cases. At the time of analysis, 69.2% of patients are alive and 54.9% have already progressed, respectively. Median OS did not differ between patients with or without immunoparesis (p=0.851). With regards to Ig recovery at 12 months post-ASCT, median OS was longer for those patients with complete or partial normalization of Ig's compared to those with no recovery at all (Estimate median OS of 97, 77 and 69 months, respectively, p=0.008) (Fig1a). In addition, median PFS was longer for those patients with normalization or partial recovery of Ig's at 12 months post-ASCT (median of 40.3 and 38 months, compared to 24.6 months for those without Ig recovery, p=0.002) (Fig1b). Furthermore, 121 patients receiving lenalidomide maintenance were evaluated, 49% of cases exhibited complete or partial recovery of Ig's at 12 months post-ASCT, compared to 40% for those cases that were not treated with any maintenance strategy (p=0.6). In conclusion, Immunoglobulin recovery at 12 months post-ASCT is an important factor to predict for better progression-free and overall survival. The use of lenalidomide as a maintenance strategy did not seem to affect the process of Ig recovery. Based on our observations, the use of immune enhancement strategies in the post-transplant setting seem appealing and requires further investigation. Disclosures Jimenez-Zepeda: Janssen: Honoraria; Amgen: Honoraria; Takeda: Honoraria; Celgene, Janssen, Amgen, Onyx: Honoraria. Neri:Celgene and Jannsen: Consultancy, Honoraria. Bahlis:Celgene: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau; BMS: Honoraria; Onyx: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau.

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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.281
Teacher spread0.269 · 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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Citations1
Published2016
Admission routes1
Has abstractyes

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