Abstract AP09: GENOMIC ALTERATIONS IN ENDOMETRIOSIS
Bibliographic record
Abstract
Abstract BACKGROUND: Endometriosis affects ~10% of reproductive–aged women and is characterized by extra–uterine biphasic growth of uterine endometrial epithelium and stroma. Endometriosis is widely considered to be a hormonally–dependent inflammatory condition and is classified into three anatomically defined types: deep infiltrating endometriosis that locally invades pelvic organs; ovarian endometriotic cysts, and superficial peritoneal endometriosis. A clonal “precursor–cancer” link to co–occurring clear cell and endometrioid ovarian cancers has been established and somatic mutations occur in these cancer–associated endometriotic cysts, including distant benign–appearing lesions. The spectrum of genetic alteration in non–cancer associated endometriosis is not known. METHODS: We screened a pilot series of 10 deep–infiltrating [pelvic] endometriosis lesions, without co–occurrence or history of cancer, for somatic alterations using laser captured endometrial stroma and epithelium. Two overlapping amplicon panels and digital PCR were used to validate mutations. RESULTS: In four of ten cases we validated the presence of activating codon 12 KRAS mutations. Mutations were restricted to the epithelium and no evidence of any alterations was found in the stromal fraction. CONCLUSIONS: We provide incontrovertible evidence of activating KRAS mutations in 40% of deep infiltrating endometriosis. This frequency of KRAS mutations is substantially higher than what has been observed in clear cell (CCOC) or endometrioid (ENOC) ovarian cancers and the occurrence of non–ovarian primary CCOC/ENOC is largely anecdotal. Our evidence suggests that these mutations represent core features of endometriosis itself, rather than a risk of malignant transformation. Overall we propose this as an opportunity to fundamentally shift the study of endometriosis to a spectrum of neoplasms. This may lead to the generation of a molecularly informed classification system and ultimately to improved prognostication and treatment. Citation Format: Michael S. Anglesio, Tayyebeh M. Nazeran, Hugo M. Horlings, Vivian Lac, Amy Lum, Janine Senz, Julie Ho, Amy Wang, Fontayne Wong, Catherine Allaire, Christina Williams, C. Blake Gilks, Paul J. Yong, and David G. Huntsman. GENOMIC ALTERATIONS IN ENDOMETRIOSIS [abstract]. In: Proceedings of the 11th Biennial Ovarian Cancer Research Symposium; Sep 12-13, 2016; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2017;23(11 Suppl):Abstract nr AP09.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".