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Phase I-II Trial of Oral Cyclophosphamide, Prednisone and Lenalidomide (Revlimid®) (CPR) for the Treatment of Patients with Relapsed and Refractory Multiple Myeloma.

2008· article· en· W2521999181 on OpenAlexaff
Donna Reece, Esther Masih‐Khan, Arooj Khan, Peter Anglin, Christine Chen, Vishal Kukreti, Joseph Mıkhael, Suzanne Trudel

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsLenalidomideMedicineThalidomideRegimenMultiple myelomaInternal medicineCyclophosphamidePrednisoneGastroenterologySurgeryBortezomibTransplantationChemotherapy

Abstract

fetched live from OpenAlex

Abstract Oral cyclophosphamide and prednisone is a convenient regimen in relapsed and refractory multiple myeloma (MM), with a partial response (PR) rate of 40% and median progression-free survival of 19 months in our retrospective analysis of patients in first or second relapse after autologous stem cell transplantation (ASCT) (Trieu Y, et al, Mayo Clin Proc2005; 80: 1582). We sought to enhance the efficacy of this regimen by adding oral lenalidomide (Revlimid®), a potent anti-myeloma agent, in a phase I-II trial. The CPR regimen consisted of cyclophosphamide on days 1, 8 and 15, lenalidomide on days 1–21, and prednisone 100 mg every other day in a 28-day cycle. ASA 81 mg/day was given to all patients (pts) as prophylaxis for DVT. Three dose levels were evaluated using a 3 by 3 dose escalation design. Between 11/2007–07/2008, 15 pts with relapsed/refractory MM were entered onto study. Median age was 60 (45–78) years and 60% were male. Immunoglobulin subtype was IgGκ:λ in 10:1; IgA κ:λ in 2:1 and κ light chain in 1. Median number of prior regimens was 2 (1–3) and 14 had undergone previous ASCT, including double transplants in 2 pts. Prior therapy also included thalidomide in 3 (20%) and bortezomib in 6 (40%). FISH cytogenetics were available in 9, but none had 13q deletion, t(4;14) or p53 deletion. At the time of protocol entry, median β2-microglobulin level was 222 (92–325) nm/L, albumin 38 (35–46) g/L, creatinine 78 (50–100) μmol/L, platelet count 230 (93–318) x 109/L and ANC 2.5 (1.9–9.0) x 109/L. Protocol treatment is summarized in Table 1. Dose level N Cyclophosphamide dose (mg/m2) Lenalidomide dose (mg) Prednisone dose (mg) Median # cycles given 1 3 150 15 100 9 2 3 150 25 100 6 3 6 300 25 100 4 3 (expanded) 3 300 25 100 1 Dose limiting toxicity was not observed during cycle 1 at any of the dose levels and the maximum tolerated dose of this regimen has not yet been reached at the highest dose level planned; all pts remain on active therapy. Grade 3/4 thrombocytopenia was seen in 1 pt (cohort 2) and neutropenia in 4 pts (1 in cohort 1, 1 in cohort 2 and 2 in cohort 3) and were managed with dose reduction and/or growth factor support. No episodes of febrile neutropenia occurred in any pt. Only 1 pt experienced varicella zoster; routine antiviral prophylaxis was not used. Other grade 3/4 non-hematologic toxicities were uncommon and included abdominal pain/bacteremia in 1 pt in cohort 1, hypokalemia in 1 pt in cohort 2, and DVT in 1 pt in cohort 3. Mild grade 1/2 constipation (47%), muscle cramps (33%) and fatigue (33%) were also noted. To date, best response includes the following: dose level 1 (1 near complete remission [nCR], 2 PR); dose level 2 (3 PR); dose level 3 (4 PR, 2 minimal response [MR]); expanded cohort 3 (1 MR, 2 too early). We conclude: 1) the combination of full doses of the agents in CPR can be given in a 28-day cycle with minimal toxicity; 2) the overall response rate (nCR + PR + MR) in 13 evaluable pts to date is 87%; 3) no pts have progressed in this preliminary analysis; 4) longer follow-up is required to assess the long-term efficacy of this regimen.

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)0.002
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.031
GPT teacher head0.291
Teacher spread0.260 · 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".

Quick stats

Citations23
Published2008
Admission routes1
Has abstractyes

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