Prognostic Relevance of Genomic Aberrations In Light Chain Only Multiple Myeloma
Bibliographic record
Abstract
Abstract Abstract 4036 Background: Multiple myeloma (MM) is characterized by an expansion of clonal plasma cells with production of monoclonal immunoglobulin. The majority of MM patients produce an intact immunoglobulin, but in a subset of patients (≂f15%), the tumor produces monoclonal light chains only (LCO). Although specific genomic aberrations have emerged as a major prognostic factor in MM, the genomic changes and their prognostic impact on LCO myeloma patients are not clear. Methods: A total of 86 patients with LCO MM identified by urine and serum immunoelectrophoresis were included in this study. They were all uniformly treated with high dose chemotherapy followed by autologous stem cell transplant (ASCT). The genomic risk factors including del(13q), del(17p), t(4;14), 1q21 gain and 1p loss– were evaluated by cytoplasmic fluorescence in situ hybridization (cIg-FISH) in clonal plasma cells and correlated with patients clinical outcomes. Results: cIg-FISH detected del(13q) in 41%, t(4;14) in 12%, del(17p) in18%, 1q21 gain in 25%, and 1p loss in 19% of the evaluable cases. In our entire cohort, the median post-transplant follow-up was 36.5 months with a median progression free survival (PFS) of 24.8 months [95% confidence interval (CI): 18.4–31.3] and overall survival (OS) of 68.8 months (95% CI: 50.2–87.5). Patients with del(13q) and 1q21 gains had a significantly shorter PFS (median 15.8 vs. 33.4 months, p=0.002; median 19.1 vs. 33.4 months, p=0.011, respectively), and shorter OS (median 56.2 vs. 80.4 months, p=0.021; median 26.9 vs. 77.9 months, p=0.006, respectively), than those without such genetic abnormalities. In addition, 1p loss was associated with a significantly shorter PFS (median 18.2 vs. 37.9 months, p=0.001). However, there was no significant difference in PFS or OS in patients with or without the high-risk genetic factors t(4;14) or del(17p). On multivariate analysis adjusting for all 5 genetic risk factors, del(13q) was an independent prognostic factor for PFS (p=0.011) and OS (p=0.045). Conclusion: Although LCO MM had a similar incidence of genetic abnormalities to common MM, only del(13q) and chromosome 1 abnormalities appear to adversely affect the survival in our cohort. Further larger, prospective studies are warranted to verify the role of these genomic aberrations in the genetic risk stratification of LCO MM. Disclosures: Reece: Celgene: Honoraria, Research Funding.
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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".