<i>Kdm6a</i> Deficiency Activates Inflammatory Pathways, Promotes M2 Macrophage Polarization, and Causes Bladder Cancer in Cooperation with <i>p53</i> Dysfunction
Bibliographic record
Abstract
Abstract Purpose: Epigenetic deregulation is deeply implicated in the pathogenesis of bladder cancer. KDM6A (Lysine (K)-specific demethylase 6A) is a histone modifier frequently mutated in bladder cancer. However, the molecular mechanisms of how KDM6A deficiency contributes to bladder cancer development remains largely unknown. We hypothesized that clarification of the pathogenic mechanisms underlying KDM6A-mutated bladder cancer can help in designing new anticancer therapies. Experimental Design: We generated mice lacking Kdm6a in the urothelium and crossed them with mice heterozygous for p53, whose mutation/deletion significantly overlaps with the KDM6A mutation in muscle-invasive bladder cancer (MIBC). In addition, BBN (N-butyl-N-(4-hydroxybutyl) nitrosamine), a cigarette smoke-like mutagen, was used as a tumor-promoting agent. Isolated urothelia were subjected to phenotypic, pathologic, molecular, and cellular analyses. The clinical relevance of our findings was further analyzed using genomic and clinical data of patients with MIBC. Results: We found that Kdm6a deficiency activated cytokine and chemokine pathways, promoted M2 macrophage polarization, increased cancer stem cells and caused bladder cancer in cooperation with p53 haploinsufficiency. We also found that BBN treatment significantly enhanced the expression of proinflammatory molecules and accelerated disease development. Human bladder cancer samples with decreased KDM6A expression also showed activated proinflammatory pathways. Notably, dual inhibition of IL6 and chemokine (C-C motif) ligand 2, upregulated in response to Kdm6a deficiency, efficiently suppressed Kdm6a-deficient bladder cancer cell growth. Conclusions: Our findings provide insights into multistep carcinogenic processes of bladder cancer and suggest molecular targeted therapeutic approaches for patients with bladder cancer with KDM6A dysfunction.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".