36P Abacavir potentiates the efficacy of doxorubicin in breast cancer cells via KDM5B Inhibition
Bibliographic record
Abstract
Methods: In N.N.Blokhin NMRCO over 26 years identified 109 patients with BM from CRC.Of this number, 72 patients had a history of neurosurgical resection of BM.In turn, for 32 patients access to a pair of tumor samples: from the primary tumor and from intracranial metastases.GENCONCOR-1 study is translational research aimed to investigate the biological concordance between the CRC and BM.The study was conducted by post hoc analysis of pairs of FFPE tissue blocks.Tumor samples was tested for status of genes KRAS, NRAS, BRAF and microsatellite instability (MSI).The molecular profile of the BM was compared with the corresponding primary tumor with calculation of concordance rate (%).Table: 33P Baseline patient characteristics ITT (n [ 109) PP (n [ 32) Sex, n (%) Male: 54 (49.5%)Female: 55 (50.5%)Male: 16 (50%) Female: 16 (50%) Age, years (median) 57 (21-79) 55 (38-76) Site of the primary tumor, n (%) Left-sided: 89 (81.7%)Right-sided: 20 (18.3%) Left-sided: 25 (78%) Right-sided: 7 (22%) Extracranial metastases, n (%) Yes: 88 (80.7%)No: 21 (19.3%)
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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 | 0.000 |
| 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) | 0.004 | 0.001 |
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".