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The Impact of Cytogenetics on the Outcomes of Treatment with Lenalidomide Plus Dexamethasone in Relapsed or Refractory Multiple Myeloma.

2008· article· en· W2546416649 on OpenAlexaff
Nizar J. Bahlis, Kevin Song, Tommy Fu, Birgitte Roland, Hong Chang, Doug Horsman, Adnan Mansoor, Christine Chen, Esther Masih- Khan, Young Trieu, Hélène Bruyèrè, Douglas A. Stewart, Donna Reece

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer CentreBC Cancer AgencyCalgary Laboratory ServicesLeukemia & Lymphoma Society of CanadaUniversity of Calgary
Fundersnot available
KeywordsLenalidomideThalidomideMultiple myelomaMedicineDexamethasoneInternal medicineRefractory (planetary science)BortezomibGastroenterologySurgeryOncologyBiology

Abstract

fetched live from OpenAlex

Abstract Background: Lenalidomide improves survival for patients with relapsed or refractory multiple myeloma (MM). However, the benefit of this treatment in patients with highrisk cytogenetic abnormalities is not well studied. We have previously reported in an initial sub-analysis of a large, open-label study (MM016 study) the effects of the most common unfavorable cytogenetic abnormalities on outcomes in MM patients treated with lenalidomide plus dexamethasone. Since then we have performed an update of this sub-analysis within a larger cohort of patients and a longer median follow-up time of 19.6 months. Methods: The MM016 is a multicenter single arm open label expanded access program for Lenalidomide in relapsed and refractory MM. Patients received dexamethasone orally (40mg, days 1–4; 9–12 and 17–20 for 4 cycles, then days 1–4 beginning with cycle 5) and Lenalidomide 25mg orally on days 1–21 of a 28 days cycle. Using fluorescence in situ hybridization, we examined the influence of three most common and recurrent cytogenetic abnormalities [del(13q), t(4;14), and del(17p13)] in 130 patients with FISH results available for the three genomic aberrations. Blade criteria were used to define RR. TTP and OS were defined according to the international uniform response criteria. Results: The median age was 61 yrs (31–84), 55.4% had ISS stage II or III, median beta2-microglobulin was 3.125 mg/L (1.1–16.75), median number of prior treatments was 2 (1–6) with 53.8% previously treated with thalidomide, 45.9% with bortezomib and 73.3% with SCT. Del(13q), t(4;14) and del(17p13) were detected in 54 (41.5%), 28(21.5%) and 12 (9.2%) of patients, respectively. The overall response RR (CR+PR) to len-dex was 83.1% (13.1% CR and nCR) and 76.4% for the del13q, 78.6% for t(4;14) and 58.3% for del17p patients. In univariate analysis the time-to-progression (TTP) hazard ratio (HR) for del(13q) and for t(4;14) were 1.563 (P = .0479) and 1.680 (P = .0470) respectively. However in multivariate analysis, neither the presence of either del(13q) nor t(4;14) did adversely affect TTP. Similarly neither of these genomic aberrations did affect overall survival (OS) hazard ratio with HR= 1.472 (P= .1507) for del(13q) and HR=1.091 (P = .788) for t(4;14). TTP (HR 2.626, P = .0032) and OS (HR 3.213, P =0.0016) were significantly worse with del(17p13) in univariate and multivariate analysis. Among the other variables studied prior thalidomide exposure did result in a shorter TTP (HR= 2.330; P = .0004) but not OS (HR= 1.690; P = .0612). Conclusion: Lenalidomide plus dexamethasone can overcome the negative prognostic effect of high-risk cytogenetic abnormalities conferred by the presence of del(13q) and t(4;14), and represents a good treatment option for relapsed or refractory MM patients with these adverse cytogenetic profiles. (Clinicaltrials.gov number, NCT00179647.)

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)0.002
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.068
GPT teacher head0.333
Teacher spread0.265 · 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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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