Abstract 2974: Loss of <i>TSC1</i> or <i>TSC2</i> drives lineage infidelity and hamartoma formation in a renal organoid model of angiomyolipoma
Bibliographic record
Abstract
Abstract Renal angiomyolipomas (R-AMLs) are hamartomatous kidney tumors which stain positively for markers of adipocytic, vascular, smooth muscle, and melanocytic lineages. These lesions possess loss of function mutations in either TSC1 or TSC2, which are canonical negative regulators of mTORC1 signaling. To date, there exists no in vitro or in vivo model which faithfully recapitulates the architectural and molecular complexity of R-AMLs. Considering these lesions can be detected very early in life- even congenitally- we hypothesized they arise as a consequence of aberrant tissue development. To test this hypothesis, we generated TSC1-/- and TSC2-/- mutants in four human pluripotent stem cell (hPSC) backgrounds using CRISPR/Cas9 genome engineering. Wild type hPSCs differentiated into renal organoids express markers of the glomerulus, proximal and distal tubules, in a topology that resembles human nephron patterning. Remarkably, wild type renal organoids downregulate mTORC1 signaling compared to adjacent undifferentiated cells. In contrast, both TSC1-/- and TSC2-/- hPSCs exhibit substantial lineage infidelity upon differentiation, staining positively for adipocytic and melanocytic markers which are absent in matched wild type controls. Additionally, knockout lines formed nodular growths with disorganized architecture, resembling the hamartomatous organization of R-AML lesions. These lesions exhibit hyperactive mTORC1 signaling, consistent with human pathology. Together, these data suggest three primary findings: loss of TSC1/2 drives lineage infidelity; TSC1/2 may be required for architectural organization of the kidney parenchyma; and a developmental approach to R-AML modelling may best recapitulate the human disease. Citation Format: Adam Pietrobon, Sean P. Delaney, Carole Doré, Julien Yockell-Lelievre, Lisa Julian, William L. Stanford. Loss of TSC1 or TSC2 drives lineage infidelity and hamartoma formation in a renal organoid model of angiomyolipoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2974.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".