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Investigating Efficacy, Safety, and Biomarkers in a Phase 2 Trial of Pomalidomide + Low-Dose Dexamethasone (POM + LoDEX) Following Second-Line Lenalidomide-Based Therapy (Tx) in Relapsed or Refractory Multiple Myeloma (RRMM)

2015· article· en· W2573557015 on OpenAlexaffabout
David S. Siegel, Gary J. Schiller, Kevin Song, Richy Agajanian, Keith Stockerl‐Goldstein, Hakan Kaya, Michaël Sébag, Frederic J. Reu, Jorge Mouro, Michael Sturniolo, Shankar Srinivasan, Anjan Thakurta, Yasir M. Nagarwala, Nizar J. Bahlis

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of CalgaryMcGill UniversityVancouver General Hospital
Fundersnot available
KeywordsMedicinePomalidomideLenalidomideInternal medicineTolerabilityPopulationNeutropeniaClinical endpointDiscontinuationProgressive diseaseOncologyPhases of clinical researchMultiple myelomaSurgeryAdverse effectClinical trialChemotherapy

Abstract

fetched live from OpenAlex

Abstract Background: Preclinical studies indicate that lenalidomide (LEN) and POM are not cross-resistant (Ocio et al Leukemia, 2015) and that POM remains active in LEN-resistant myeloma cells (Lopez-Girona et al Leukemia, 2012). Likewise, POM + LoDEX showed comparable efficacy in patients (pts) refractory to LEN administered as last prior Tx vs the full population in subanalyses of the clinical trials MM-002 and MM-003 (San Miguel et al Lancet Oncol, 2013; Richardson et al Blood, 2014). To confirm these observations, we initiated a single-arm, phase 2 trial evaluating POM + LoDEX immediately following second-line LEN-based Tx in advanced RRMM (MM-014; NCT01946477). Methods: Eligible pts (aged ≥ 18 yrs) had received 2 prior lines of Tx, with ≥ 2 cycles of LEN-based Tx in the second line. Pts must have had documented progressive disease (PD) during or after their last antimyeloma Tx and Eastern Cooperative Oncology Group (ECOG) performance status ≤ 2. POM was administered 4 mg/day on days 1-21 of a 28-day cycle with LoDEX 40 mg/day (20 mg/day for pts aged > 75 yrs) on days 1, 8, 15, and 22 until PD or discontinuation for any reason. Pts received mandatory thromboprophylaxis. The primary end point was overall response rate by modified International Myeloma Working Group criteria (including minor response). Secondary end points included progression-free survival, overall survival, time to progression, safety, and duration of response. Exploratory end points were included to identify molecular, immune, and cellular biomarkers that might inform POM + LoDEX response, resistance, or mechanism of action. Results: As of March 20, 2015, 27 of the 85 planned pts were enrolled and received POM + LoDEX. Twelve pts remain on Tx, whereas 15 have discontinued, due to PD (n = 7) and withdrawal (n = 5), but not adverse events (n = 0). Males comprised 59% of pts; 85% were white and the median age was 69 yrs (range, 44-85 yrs), with 67% of pts aged ≥ 65 yrs. The median time since diagnosis was 3.9 yrs (range, 1.3-13.3 yrs), and 59% of pts received prior stem cell transplant. Most pts (81%) were refractory to the most recent prior LEN-containing Tx, and the median duration of the most recent prior LEN Tx was 8.3 mos (range, 0.3-56.3 mos). The 19% of pts who were not refractory to the most recent prior LEN-containing Tx remain on Tx. Pts predominantly had ECOG performance status 0 or 1 (30% and 63%, respectively) vs 2 (7%). Of the 19 pts with International Staging System assessment reported, most were stage I (n = 7) or II (n = 11) vs III (n = 1). Efficacy and safety data will be presented. Conclusions: The MM-014 study is assessing the efficacy and safety of POM + LoDEX in pts with RRMM who have received second-line LEN-based Tx. MM-014 is designed to confirm and expand the results from MM-002 and MM-003 with translational data. Clonality and biomarkers, including Aiolos, Ikaros, IRF-4, and c-Myc, will be evaluated to determine association with POM + LoDEX synergy, high-risk MM-associated genetic aberrations, clonal evolution, and minimal residual disease. Disclosures Siegel: Celgene Corporation: Speakers Bureau; Amgen: Speakers Bureau; Takeda: Speakers Bureau; Merck: Speakers Bureau; Novartis: Speakers Bureau. Schiller:Celgene Corporation: Research Funding. Song:Celgene Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Stockerl-Goldstein:Celgene Corporation: Speakers Bureau; Onyx: Speakers Bureau. Kaya:Novartis: Honoraria, Speakers Bureau; Millennium: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Onyx: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau. Sebag:Amgen: Honoraria; Celgene: Honoraria; Novartis: Honoraria; Janssen: Honoraria. Reu:Takeda/Millennium: Research Funding; Novartis: Research Funding; Celgene: Research Funding. Mouro:Celgene Corporation: Employment, Equity Ownership. Sturniolo:Celgene Corporation: Employment. Srinivasan:Celgene Corporation: Employment, Equity Ownership. Thakurta:Celgene Corporation: Employment, Equity Ownership. Nagarwala:Celgene Corporation: Employment, Equity Ownership. Bahlis:Johnson & Johnson: Speakers Bureau; Johnson & Johnson: Consultancy; Amgen: Consultancy; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Johnson & Johnson: 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)0.003
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.075
GPT teacher head0.352
Teacher spread0.277 · 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 designNon-randomized trial
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
Published2015
Admission routes2
Has abstractyes

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