Chromosome 1p21 Deletion Defines a Subgroup of Multiple Myeloma with Poor Clinical Outcomes Independent of del (13q), del(p53), t(4;14) or 1q21 Amplification.
Bibliographic record
Abstract
Abstract Amplifications involving chromosome 1q and deletions involving 1p are frequent events in multiple myeloma (MM). The pathogenesis and clinical significance of these anomalies is largely unknown but CKS1B amplification at 1q21 detected in 30–40% of MM patients is associated with disease progression. As karyotyping and SNP based mapping analysis identify a minimal common deletion region involving the 1p21 locus, we used FISH combined with cytoplasmic light chain detection (cIg-FISH) to investigate the prevalence and prognostic significance of del(1p21) in a cohort of 186 MM patients undergoing autologous stem cell transplant. CIg-FISH detected hemizygous 1p21 deletions in 18% of the cases. The median percentage of clonal plasma cells harboring del(1p21) was 55% (range 20–95%). The presence of 1p21 deletions was strongly correlated with CKS1B amplification (p=0.004), t(4;14) (p= 0.027), and del(p53) (p=0.04), but not with del(13q) or t(11;14). There was no association between del (1p21) and other biological factors including age, gender, Hb, albumin, C-reactive protein, beta-2 microglobulin level, isotype or bone marrow plasmacytosis. Patients with 1p21 deletions had significantly shorter progression-free (median 10.5 vs. 25.4 months, p=0.0001) and overall survivals (median 33.9 months vs. not reached, p=0.001) than those without such deletions. On multivariate analysis, del(1p21) was an independent risk factor for progression free (p< 0.0001) and overall survivals (p=0.0005) after adjusting for other genetic risk factors including del(13q), del(p53), t(4;14) and CKS1B amplification. Our results indicate that del(1p21) is a novel genetic risk factor and warrant inclusion of this genetic aberration in the risk-stratification of MM. Further studies are required to identify candidate tumor suppressor gene(s) at the 1p21 locus and explore their role in the molecular pathogenesis of MM.
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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".