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Record W2552855124 · doi:10.1182/blood.v126.23.730.730

Impact of Cytogenetics on Outcomes of Transplant-Ineligible Patients with Newly Diagnosed Multiple Myeloma Treated with Continuous Lenalidomide Plus Low-Dose Dexamethasone in the First (MM-020) Trial

2015· article· en· W2552855124 on OpenAlexaff
Hervé Avet‐Loiseau, Cyrille Hulin, Lofti Benboubker, Meletios Α. Dimopoulos, Andrew Belch, Donna Reece, John Catalano, Antonio Pinto, Heinz Ludwig, Nizar J. Bahlis, Michèle Cavo, Michel Attal, Philippe Moreau, Lugui Qiu, Richard LeBlanc, Rik Schots, S. Vincent Rajkumar, Jennifer Marek, Guang Chen, Wai Yiu, Annette Ervin‐Haynes, Thierry Façon

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-RosemontUniversity of CalgaryPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineLenalidomideInternal medicineMultiple myelomaMelphalanPopulationClinical endpointOncologySurgeryRandomized controlled trial

Abstract

fetched live from OpenAlex

Abstract Introduction: Cytogenetic abnormalities in patients (pts) with multiple myeloma (MM) are of prognostic importance and can be associated with poor outcomes (Bergsagel, Blood, 2011). The FIRST trial is a pivotal phase 3 study with the largest data set in transplant-ineligible pts with newly diagnosed MM (NDMM). This subanalysis evaluates the impact of cytogenetics on outcomes in transplant-ineligible pts with NDMM continuously treated with lenalidomide plus low-dose dexamethasone until disease progression (Rd continuous). Methods: Transplant-ineligible pts with NDMM were randomized to 1 of 3 treatment arms: Rd continuous, Rd18 (Rd for 18 cycles [72 weeks]), or melphalan-prednisone-thalidomide (MPT; for 12 cycles [72 weeks]). Cytogenetics were assessed using fluorescence in situ hybridization. Pts were categorized into cytogenetic risk groups according to International Myeloma Working Group criteria. High-risk cytogenetics included del(17p), t(4;14), and t(14;16); all other pts were categorized as non-high risk. The primary endpoint was progression-free survival (PFS; primary comparators were Rd continuous vs MPT), and key secondary endpoints were overall survival (OS), overall response rate (ORR), and safety. Results: A total of 762 of 1623 pts from the intent-to-treat population had validated cytogenetic profiles, with 142 pts in the high-risk group and 620 pts in the non-high-risk group. Baseline characteristics were well balanced across cytogenetic risk groups (Table 1). The median follow-up for OS was 40.2 months for the 762 pts in this analysis (data cutoff, March 03, 2014). In the non-high-risk group, median duration of treatment was 19.4 months with Rd continuous and 16.6 months with both Rd18 and MPT. In the high-risk group, median duration of treatment was 10.0 months with Rd continuous, 8.2 months with Rd18, and 12.0 months with MPT. Rd continuous treatment resulted in a 24% reduced risk of death or progression compared with MPT and an even greater 32% reduced risk in pts without high-risk cytogenetics (Table 2). In non-high-risk pts, median PFS was 31.1 months with Rd continuous compared with 21.2 and 24.9 months with Rd18 and MPT, respectively (Figure). However, in high-risk pts, the observed numerical median PFS favoring Rd18 is mainly due to small pt numbers influenced by long runners (n = 5), and the greatly overlapping 95% CIs from all 3 arms show the difference is likely to be minimal. Rd continuous treatment resulted in a 28% reduced risk of death vs MPT overall and a 34% reduced risk in pts without high-risk cytogenetics. OS was similar across treatment arms for high-risk pts. ORRs in all cytogenetic risk groups favored Rd continuous vs MPT. In pts with high-risk cytogenetics, higher-quality responses were also observed with Rd continuous vs MPT treatment. Similar results were seen with Rd continuous compared with Rd18, although OS and ORR benefits overall and in pts without high-risk cytogenetics were not as pronounced. In all 3 treatment arms, adverse events were consistent across cytogenetic risk groups. Conclusions: Rd continuous treatment resulted in PFS and OS benefits vs MPT in pts with validated cytogenetic profiles. This was largely due to PFS and OS improvements in pts without high-risk cytogenetics. In the high-risk group, the longest PFS was observed with Rd18 treatment and OS was similar across treatment arms. Despite being on the continuous vs fixed duration treatment arm, high-risk pts on Rd continuous received a shorter duration of treatment than those on MPT, which may explain why PFS favored MPT vs Rd continuous. Higher response rates were observed with Rd continuous vs MPT, regardless of cytogenetic risk, and greater quality responses were observed in pts with high-risk cytogenetics. The safety profile of Rd continuous was manageable and consistent between cytogenetic risk groups. Results support Rd continuous as a standard treatment option for pts with NDMM who are ineligible for transplant, especially those without high-risk cytogenetics. Additional PFS and OS benefits may be achieved in pts with high-risk cytogenetics when Rd continuous is used as a backbone for combination therapy with a novel agent. Promising activity in pts with high-risk cytogenetic abnormalities has been demonstrated using this approach (Lonial et al, N Engl J Med, 2015; Stewart et al, N Engl J Med, 2015). Disclosures Hulin: Celgene Corporation: Honoraria; Janssen: Honoraria; Amgen: Honoraria; Bristol Myers Squibb: Honoraria. Dimopoulos:Celgene: Honoraria; Onyx: Honoraria; Novartis: Honoraria; Janssen-Cilag: Honoraria; Amgen: Honoraria; Janssen: Honoraria; Genesis: Honoraria. Reece:Lundbeck: Honoraria; Amgen: Honoraria; Merck: Research Funding; Bristol-Myers Squibb: Research Funding; Janssen-Cilag: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy, Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Millennium Takeda: Research Funding; Otsuka: Research Funding. Catalano:Roche: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Celgene Corporation: Consultancy, Honoraria. Pinto:Takeda: Honoraria, Research Funding; Celgene Corporation: Honoraria; Spectrum: Honoraria. Ludwig:Takeda: Research Funding; Celgene Corporation: Honoraria, Speakers Bureau; Onyx: Honoraria, Speakers Bureau; Bristol Myers Squibb: Honoraria, Speakers Bureau; Janssen Cilag: Honoraria, Speakers Bureau. Bahlis:Celgene Corporation: Honoraria, Research Funding. Cavo:Janssen-Cilag, Celgene, Amgen, BMS: Honoraria. Moreau:Takeda: Other: Adboard; Janssen: Other: Adboard; Novartis: Other: Adboard; Amgen: Other: Adboard; Celgene: Honoraria, Other: Adboard. Qiu:Johnson & Johnson: Speakers Bureau; Celgene Corporation: Speakers Bureau; Roche: Speakers Bureau. Schots:Celgene Corporation: Research Funding. Marek:Celgene Corporation: Employment, Equity Ownership. Chen:Celgene Corporation: Employment, Equity Ownership. Yiu:Celgene Corporation: Employment, Equity Ownership. Ervin-Haynes:Celgene Corporation: Employment. Facon:Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millenium: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Pierre Fabre: Membership on an entity's Board of Directors or advisory committees.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.293
Teacher spread0.262 · 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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Citations17
Published2015
Admission routes1
Has abstractyes

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