Abstract 5528: The protein phosphatase 2A regulatory subunit PR70 is a gonosomal melanoma tumor suppressor gene
Bibliographic record
Abstract
Abstract Male gender is independently and significantly associated with poor prognosis in melanoma of all clinical stages. The biological underpinnings of this sex difference remain largely unknown, but we hypothesize that gene expression from gonosomes may play an important role. The current study demonstrates that loss of the inactivated X chromosome in melanomas arising in females is strongly associated with poor distant metastasis-free survival, suggesting a dosage benefit of two X-chromosomes. The gonosomal PPP2R3B gene is located on the pseudo-autosomal region (PAR) of the X-chromosome in females and on the Y-chromosome in males. We observed that despite its location on the PAR that predicts equal dosage across genders, PPP2R3B expression is lower in males than in females, and is independently correlated with poor clinical outcome. PPP2R3B codes for the PR70 protein, a regulatory substrate recognizing subunit of PP2A, that decreases melanoma growth by negatively interfering with DNA replication and cell cycle progression through its role in stabilizing CDC6/CDT1 interaction that delays the firing of origins of DNA replication. As such, PR70 behaves functionally as an X-linked tumor suppressor gene. Citation Format: Léon C.L. Van Kempen, Margaret Redpath, Mounib Elchebly, Kathleen Oros Klein, Andreas Papadakis, James Willmott, Richard Scolyer, Per-Henrik Edqvist, Fredrik Ponten, Dirk Schadendorf, Anke van Rjk, Stefan Michiels, Anne Dumay, Anne Helbling-Leclerc, Philippe Dessen, Jasper Wouters, Marguerite Stass, Celia Greenwood, G. Elias Ghanem, Joost van den Oord, Jean Feunteun, Alan Spatz. The protein phosphatase 2A regulatory subunit PR70 is a gonosomal melanoma tumor suppressor gene [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5528. doi:10.1158/1538-7445.AM2017-5528
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".