Targeting lysosome function causes selective cytotoxicity in VHL-inactivated renal cell carcinomas
Bibliographic record
Abstract
The inactivation of the tumor suppressor gene, von Hippel-Lindau (VHL), has been identified as the earliest event in renal cell carcinoma (RCC) development. The loss of heterogeneity by chromosome 3p deletion followed by inactivating mutations on the second VHL copy are events present in close to 90% of patients. Our study illustrates a lysosomal vulnerability in VHL-inactivated RCC in vitro. By investigating the mechanism of action of the previously identified STF-62247, a small bioactive compound known for its selective cytotoxic properties towards VHL-defective models, we present the promising approach of targeting truncal-driven VHL inactivation through lysosome disruption. Furthermore, by analyzing the open platform for exploring cancer genomic data (cbioportal), we uncover the high alteration frequency of essential lysosomal and autophagic genes in sequenced biopsies from clear cell RCC patient primary tumors. By investigating lysosome physiology, we also identify VHL-inactivated cells' inability to maintain their lysosomes at the perinuclear localization in response to STF-62247-induced stress and accumulate cytoplasmic inclusion bodies in response to an inefficient lysosomal degradative capacity. Finally, by testing other known lysosomal-disrupting agents (LDAs), we show that these are selectively cytotoxic to cells lacking VHL functions. Our study builds a strong platform that could specifically link genetic clonal ccRCC evolution to lysosomal and trafficking vulnerabilities.
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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) | 0.000 | 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) | 0.001 | 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".