Use of Lenalidomide (Revlimid® +/− Corticosteroids in Relapsed/Refractory Multiple Myeloma Patients with Elevated Baseline Serum Creatinine Levels.
Bibliographic record
Abstract
Abstract Lenalidomide (Revlimid®; Rev) is an important novel agent for the treatment of multiple myeloma (MM) patients (pts). Since MM pts are at risk for renal insufficiency, we evaluated whether an abnormal serum creatinine (cr) level affected the outcome of pts treated with Rev +/− corticosteroids (CS). Between 12/05 and 07/06, 69 MM pts who had progressed after at least 1 line of prior therapy were treated in our center with Rev +/− CS as part of Celgene’s Expanded Access Program in Canada. Eligibility criteria included a platelet count (pl ct) ≥ 30 x 109/L and neutrophil count ≥ 1.0 x 109/L; a cr level of ≤220 umol/L was required unless a waiver was obtained. Protocol therapy consisted of Rev + dexamethasone (dex) in 44, Rev + prednisone in 7, Rev + dex and prednisone at different time points in 5 and Rev alone in 13. The median age was 60 yrs (35–79); 36 (52%) were male; median β2-microglobulin was 214 nm/L (114–1420); Ig subtype was IgG in 42, IgA in 12, IgM in 1 and light chain only in 14. Prior therapy included ASCT in 59 pts (86%), thalidomide in 51 (74%), bortezomib in 21 (30%) and oral cyclophosphamide in 52 (75%); the median number of prior regimens was 2 (1–5). Twenty-three pts (33%) had an elevated baseline cr level (> 89 umol/L for females and 109 umol/L for males in our center). The median cr was 138 umol/L (110–412) in these pts (group 1), compared with 80 umol/L (51–109) in group 2 (control) (p=0.001). Five pts in group 1 had a cr level ≥ 177 umol/L (2 mg/dL). Both groups were similar except that group 1 had more males (p=0.04) and the baseline platelet count (pl ct) was lower (35% vs. 4% with pl ct less than 50 x 109/L; p=0.0007). RESULTS: The median number of cycles of Rev +/− CS given to date was 4 (1–8) in both groups, and the median follow-up is 4 mos (0.5–8). After 3 cycles of Rev, the median cr was 104 umol/L (61–372) in group 1 and 79 umol/L (53–180) in group 2. In group1, cr decreased in 39% and increased in 26%, compared with 39% and 32% in group 2, respectively (p=0.56). The incidence of grade 3–4 neutropenia was 43% vs. 46%, febrile neutropenia 13% vs. 9%, any infection 17% vs. 20% and G-CSF use 66% vs. 57% among pts in group 1 vs. 2 (p=NS for all comparisons). More in group 1 experienced grade 3–4 thrombocytopenia and required at least 1 pl transfusion (52% vs. 17%; p=0.003). In group 1, 6 (26%) pts required pl transfusion in only 1 cycle, 5 (22%) in 2 cycles and 1 (4%) in 3 cycles. However, the only 2 significant bleeding complications were seen in group 2. There were 2 deaths (8.7%) in group 1 and 4 (8.7%) in group 2. Table 1 summarizes the preliminary anti-myeloma results in these 2 groups. CONCLUSIONS: Rev +/− CS can be given safely to selected patients with an elevated baseline cr level; pts with an elevated cr had lower baseline pl cts, and required more pl transfusions; the response rate, PFS and OS to date are similar in patients with a normal vs. elevated cr level. Table 1 Serum cr N nCR/PR PFS 95% CI OS 95% CI PFS=progression free survival; OS=overall survival; the differences are not significant. Elevated 23 61% 30% 11–52% 72% 46–86% Normal 46 54% 50% 31–67% 76% 55–88%
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".