Ring Chromosomes in Patients with Myeloid Neoplasms Are Associated with a Poor Response to Therapy
Bibliographic record
Abstract
Introduction: Ring chromosomes (RCs) are acquired circular structural abnormalities associated with gain or loss of genetic material, which are thought to be associated with inferior outcomes in patients with myeloid neoplasms (MNs). Responses of patients with MN and RC to the standard therapeutic options have not been previously reported. METHODS: We analyzed the demographics and outcomes of 31 consecutive patients with an MN and RC, comparing overall survival (OS) and progression-free survival (PFS) of patients who received supportive care (n = 9), cytotoxic chemotherapeutic options (n = 3), hypomethylating agents (HMA) alone (n = 6), or HMA in combination with venetoclax (n = 13). RESULTS: Over 60% of all patients with RC had either a TP53 mutation, loss of 17p, or both. Interestingly, 22/31 (71%) of patients had not received prior radiation or chemotherapy. Patients who received supportive care had a shorter OS (p = 0.001), but none of the therapeutic interventions were associated with further improvement in prolonging OS (p = 0.86) or PFS. The presence of a complex karyotype, TP53 mutations/loss of TP53, or a treatment-related MN was not independently associated with an inferior OS in MN patients with RCs. CONCLUSION: These findings indicate that patients with MN and RC have especially poor outcomes and that effective treatment strategies remain an unmet need. .
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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".