PRCC-TFE3 fusion-mediated PRKN/parkin-dependent mitophagy promotes cell survival and proliferation in PRCC-TFE3 translocation renal cell carcinoma
Bibliographic record
Abstract
TFE3 (transcription factor binding to IGHM enhancer 3) nuclear translocation and transcriptional activity has been implicated in PINK1-PRKN/parkin-dependent mitophagy. However, the transcriptional control governing the mitophagy in TFE3/Xp11.2 translocation renal cell carcinoma (<i>TFE3</i> tRCC) is largely unknown. Here, we investigated the role and mechanisms of PRCC-TFE3 fusion protein, one of TFE3 fusion types in TFE3 tRCC, in governing mitophagy to promote development of <i>PRCC-TFE3</i> tRCC. We observed and analyzed mitophagy, transcriptional control of PRCC-TFE3 on PINK1-PRKN-dependent mitophagy, PRCC-TFE3 fusions nuclear translocation, cancer cell survival and proliferation under mitochondrial oxidative damage in <i>PRCC-TFE3</i> tRCC cell line. We found that nuclear-aggregated PRCC-TFE3 fusions constitutively activated expression of the target gene E3 ubiquitin ligase <i>PRKN</i>, leading to rapid PINK1-PRKN-dependent mitophagy that promoted cell survival under mitochondrial oxidative damage as well as cell proliferation through decreasing mitochondrial ROS formation. However, nuclear translocation of TFE3 fusions escaped from PINK1-PRKN-dependent mitophagy. Furthermore, we confirmed that PRCC-TFE3 fusion accelerated mitochondrial turnover by activating PPARGC1A/PGC1α-NRF1. In conclusion, our findings indicated a major role of PRCC-TFE3 fusion-mediated mitophagy and mitochondrial biogenesis in promoting proliferation of <i>PRCC-TFE3</i> tRCC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 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".