Abstract 756: Whole exome sequencing identifies frequent mutations of PTPRB and KDR in secondary angiosarcoma
Bibliographic record
Abstract
Abstract Angiosarcoma is an uncommon malignant vascular tumor that can occur anywhere on the body, with a predilection for the skin or soft tissues of the scalp and face. By whole exome sequencing, we identified recurrent somatic mutations in PTPRB, which encodes an endothelial-specific phosphatase that negatively regulates angiogenesis, in three secondary angiosarcoma tumors (3/10). In addition, four tumors harbored missense variants in the KDR gene, including three germline substitutions. Neither the PTPRB nor the KDR alterations were found in the 5 primary tumors studied. Copy number analysis derived from the exome and methylation data revealed frequent MYC amplification in the majority of secondary angiosarcoma tumors (9/10). Altogether, our data provide a comprehensive overview of genetic and epigenetic landscapes of angiosarcoma, and demonstrate that aberrant angiogenesis associated with PTPRB and KDR mutations may contribute to the pathogenesis of angiosarcoma. Citation Format: Tenzin Gayden, Brendan C. Dickson, Hamid Nikbakht, Pierre-Olivier Fiset, Nicolas De Jay, Javad Nadaf, David L. Burk, Albert Berghuis, Rebecca Gladdy, Jay Wunder, Robert Turcotte, Jacek Majewski, Nada Jabado. Whole exome sequencing identifies frequent mutations of PTPRB and KDR in secondary angiosarcoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 756.
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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 | 0.000 |
| 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) | 0.001 | 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".