Supplementary Figures S1-S10 from ZNF397 Deficiency Triggers TET2-Driven Lineage Plasticity and AR-Targeted Therapy Resistance in Prostate Cancer
Bibliographic record
Abstract
Figure S1. ZNF397-deficiency has bifurcated effects on PCa with or without AR inhibition. Figure S2. The impact of ZNF397-deficiency on AR protein and AR cistrome. Figure S3. ZNF397 is required for the activation of canonical AR transcriptional program. Figure S4. ZNF397-KO impairs DHT-induced AR signaling activation. Figure S5. ZNF397-KO promotes multilineage and lineage plastic gene expression. Figure S6. ZNF397-KO promotes stem-like and EMT-like transcriptional programs. Figure S7. ZNF397-KO led to induction of TET2 downstream genes. Figure S8. ZNF397-KO promotes transcriptional activation of TET2 downstream genes. Figure S9. ZNF397-deficiency has bifurcated effects on AR-dependent vs AR-independent PCas. Figure S10. Targeting TET2-driven epigenetic rewiring to overcome resistance.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.719 | 0.205 |
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".