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Final Overall Survival Results of a Randomized Trial Comparing Bortezomib Plus Pegylated Liposomal Doxorubicin with Bortezomib Alone in Subjects with Relapsed or Refractory Multiple Myeloma

2014· article· en· W2266244964 on OpenAlexaff
Robert Z. Orlowski, Arnon Nagler, Pieter Sonneveld, Joan Bladé, Roman Hájek, Andrew Spencer, Tadeusz Robak, Anna Dmoszyńska, Noemi Horvath, Ivan Špıčka, Heather J. Sutherland, А. Н. Суворов, Liang Xiu, Trilok Parekh, Jesús F. San Miguel

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBortezomibMultiple myelomaMedicineInternal medicineClinical endpointLenalidomideInterim analysisGastroenterologyUrologyPharmacologyOncologyRandomized controlled trial

Abstract

fetched live from OpenAlex

Abstract Introduction Previous results of an open-label, randomized, controlled, multicenter phase III study (DOXIL-MMY-3001) demonstrated that bortezomib+pegylated liposomal doxorubicin (PLD) was superior to bortezomib monotherapy in treating subjects with relapsed or refractory multiple myeloma (MM) whose disease had failed one or more lines of prior therapy. The risk of developing disease progression was significantly reduced by 45% with bortezomib+PLD (median time to progression (TTP) with bortezomib+PLD: 9.3 months, bortezomib: 6.5 months; HR=1.82, 95% confidence interval (CI) [1.41, 2.35]; p=0.000004). In the interim analysis, the 15-month overall survival (OS) rate for bortezomib+PLD was 76% (95% CI [70%, 83%]) compared with 65% (95% CI [58%, 73%]) for bortezomib alone (p=0.03)(Orlowski et al JCO 25: 3892-3901, 2007). A protocol-defined analysis of the final survival data of this study is provided here. Methods Subjects with confirmed MM, ECOG status 0 to 1, platelets ≥75,000/mm3, hemoglobin ≥8.0 g/dL, absolute neutrophils ≥1,000/mm3, and creatinine clearance ≥30 mL/min were randomized to bortezomib (bortezomib 1.3 mg/m2, intravenous, days 1, 4, 8, and 11 of an every 21-day cycle), or bortezomib+PLD (same bortezomib+PLD 30 mg/m2 intravenous on day 4). Randomization was stratified according to serum β2-microglobulin levels (≤2.5, >2.5 and ≤5.5, or >5.5 mg/L) and response to prior treatment (response followed by progression, or primary refractory). The primary endpoint was TTP; secondary efficacy endpoints included overall survival, progression-free survival (PFS) and overall response rate (complete response [CR] + partial response [PR]). Results A total of 646 subjects (bortezomib+PLD: 324; bortezomib: 322) were randomized between December 2004 and March 2006. In the pre-planned interim analysis, the study met its primary and other secondary end points. The study continued for long-term survival follow-up. At the clinical cutoff of 16 May, 2014, for the final survival analysis with a median follow-up of 103 months, 79% of subjects were dead (bortezomib+PLD: 253 [78%]; bortezomib: 257 [80%]), 6% withdrew consent, 4% were lost to follow-up, and 11% were still alive. Median OS in bortezomib+PLD–treated subjects was 33.0 months (95% CI [28.9, 37.1]) versus 30.8 months (95% CI [25.2, 36.5]) in bortezomib-treated subjects (HR=1.05, 95% CI [0.88, 1.25]; p=0.6068). The types of salvage therapies utilized included dexamethasone (49.1%), thalidomide (31.0%), cyclophosphamide (28.5%), melphalan (22.9%), lenalidomide (21.8%), bortezomib (20.4%) and doxorubicin (8.0%), which were well-balanced between the two treatment groups. Conclusion Despite inducing a superior TTP, long-term follow-up revealed that PLD+bortezomib-treatment did not improve the OS compared with bortezomib alone in subjects with relapsed or refractory MM. The inability to confirm the early survival advantage may be due to the effects of subsequent lines of therapy, and underscores the need for long-term follow-up of phase III trials. Disclosures Orlowski: Onyx Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Sonneveld:Orthobiotech;: Consultancy. Bladé:Celgene: Grant support, Grant support Other, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Grant support Other, Honoraria, Membership on an entity's Board of Directors or advisory committees. Hajek:Janssen: Honoraria; Celgene: Consultancy, Honoraria; Merck: Consultancy, Honoraria. Spencer:Hospira: Research Funding. Robak:MorphoSys AG: Research Funding. Dmoszynska:Johnson & Johnson Pharmaceutical Research & Development: Research Funding. Horvath:Johnson & Johnson Pharmaceutical Research & Development: Consultancy, Research Funding. Sutherland:OrthoBiotech: Consultancy. Xiu:Johnson & Johnson Pharmaceutical Research & Development: Consultancy, Employment, Equity Ownership. Parekh:Johnson & Johnson Pharmaceutical Research & Development: Employment, Equity Ownership. Miguel:Janssen Cilag: Consultancy, Honoraria.

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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)0.006
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.004
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 head0.034
GPT teacher head0.281
Teacher spread0.246 · 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 designRandomized 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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Citations1
Published2014
Admission routes1
Has abstractyes

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