Relationship of Treatment Effects On Hemoglobin and M-Protein Levels in Relapsed or Refractory Multiple Myeloma: Final Analysis of a Retrospective Chart Review Study.
Bibliographic record
Abstract
Abstract Abstract 4892 Introduction In multiple myeloma (MM), hemoglobin (Hb) levels have long been part of staging of the disease and an important determinant in assessing treatment options, response to therapy and prognosis. The causes of a low Hb level are complex, but reflect in part the extent of myeloma cell infiltration in the bone marrow. Changes in the level of the monoclonal immunoglobulin protein in the blood and/or urine (M protein) serve as the main surrogate marker for response to treatment and progression of disease in the majority of patients (pts). This analysis explores the longitudinal relationship between treatment response (using M protein levels from serum protein electrophoresis [SPEP] results) and Hb levels. Methods This retrospective chart review included all pts who initiated drug treatment for relapsed/refractory MM between Jan-06 and Dec-07, inclusive, at Princess Margaret Hospital, Toronto, ON. Hb and M protein (SPEP) results were collected before the start of each treatment cycle. These results were then plotted over time to explore the association between these 2 variables. Results 136 of 281 (48.4%) of pts treated for relapsed/refractory MM had at least one simultaneous measurement of Hb and serum M protein levels and were included in the analysis. Mean age was 66 (SD±9.7) years, 65% of pts were male. More than half (63.2%) of the pts were receiving treatment for 1st MM relapse. Treatments for relapsed/refractory MM included cyclophosphamide ± steroids (33.1%), bortezomib-based regimens (20.6%), thalidomide-based regimens (26.5%), steroid monotherapy (15.4%), and other regimens (4.4 %). Patients received between 1 and 17 cycles of therapy (mean = 2.5 ± 2.9 cycles). Supportive care measures included erythropoiesis stimulating agents (ESAs) in 33.8% [mean dose was 488 (SD±23) μg q3 weeks and 42,343 (SD±7,768) IU weekly for darbepoetin alfa and Epoetin alfa, respectively], RBC and/or platelet transfusions in 17% (14.1% RBC and 6.7% platelets), and G-CSF in 7.4% of pts. The plot below (Figure 1) demonstrates a decrease in serum M protein levels over time and an inverse relationship between Hb and serum M protein levels. Both the decrease of serum M protein levels (p-value <0.001)) and the relationship to rising Hb levels (p-value < 0.001) were found to be statistically significant based on mixed model analyses (linear model taking into account repeated measurements) after accounting for confounding factors such as transfusions and ESA use. Conclusion There was a statistically significant improvement in disease burden across all treatments as evidenced by the drop in serum M protein levels over the cycles of therapy, which was accompanied by a decrease in the level of anemia. A statistically significant inverse relationship between Hb and serum M protein levels was observed in this exploratory analysis. Further studies are required to assess the relevance of Hb change as a viable clinical surrogate marker of response in MM and its potential predictive impact on outcome over time. This research was funded by an unrestricted grant from Ortho Biotech (a division of Janssen-Ortho, Inc.), Toronto, ON, Canada. Disclosures Reece: Ortho Biotech: Honoraria, Research Funding. Teixeira:Ortho Biotech: Employment. Yoong:Janssen Ortho Inc: Employment. Camacho:Janssen Ortho Inc: Consultancy. Plante:Janssen Ortho: Employment.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".