Abstract GMM-020: CELL OF ORIGIN, MUTATION AND MICROENVIRONMENT: MODELING EARLY EVENTS OF ENDOMETRIOSIS ASSOCIATED CANCERS
Bibliographic record
Abstract
Abstract Both clear cell ovarian carcinoma (CCOC) and endometrioid ovarian carcinoma (ENOC) are associated with ovarian endometriotic cysts, which is believed to be their precursor lesion. However, genomic evidence is lacking which could explain how these two clinically distinct histotypes of ovarian cancer arise from the same precursor lesion. We therefore hypothesized that these cancers arise from distinct cells of origin within endometrial tissue. Global proteomic analysis of ovarian cancer histotypes identified CTH as a marker for CCOC. We further found that CTH is highly expressed in the ciliated cells of endometrium (both ectopic endometrium and endometriosis), and of the fallopian tube, with little expression in the secretory cells. We also find that other ciliated cell markers are expressed in CCOC, whereas endometrial secretory cell markers are expressed in ENOC. We propose a new model of CCOC and ENOC histogenesis wherein ENOC is derived from cells of secretory cell lineage whereas CCOC is derived from cells of ciliated cell lineage. However, it remains unclear how external factors in the endometriotic cyst cooperate with cell of origin and mutation to promote cancer formation. To study normal tissue biology, we are using organoid cultures of normal endometrium. As ciliated cells of the endometrium are rare, and we have a particular interest in determining whether they have other features that may link them to CCOC, we used a Notch inhibitor, DBZ, to force ciliated cell differentiation in the organoids. We observed a dramatic shift in the cellular content with DBZ treamtment towards ciliated cells. We performed single cell RNA sequencing (scRNAseq) on these endometrial organoids. In the normal endometrial organoids, cells were predominantly a secretory phenotype, characterized by high ESR1 expression, with a minor ciliated cell population. The ciliated cell population expressed several known ciliated markers (FOXJ1 and DNAH12). Upon treatment with DBZ, the number of secretory cells decreases dramatically and two populations of cells emerge which have ciliated cell markers. The larger ciliated cell population is similar to the ciliated cells in the untreated organoids. The smaller ciliated cell population in the DBZ treated organoids express some ciliated cell markers, but clusters separately from normal ciliated cells. We believe this population may reprepsent an intermediary population, which has not fully differentiated. Interestingly, this population expresses the cytokine IL6, while the normal ciliated cell population does not. This is of note because CCOCs express more IL6 compared to the other histotypes. Therefore, we can speculate that this intermediary ciliated cell population may represent cells from which CCOC arise, however more testing is needed. In the future, the scRNAseq data from organoids will be compared to CCOC and ENOC tumors to determine whether the tumors resemble more closely one population of normal cells. We will use viral transduction to introduce mutations into the organoid cultures to determine whether specific mutation leads to transformation towards a CCOC or ENOC-like phenotype. These studies will enable us to tease apart the relative contribution of mutation, microenvironment and the cell of origin to promote tumor formation. Citation Format: Dawn R Cochrane, Basile Tessier-Cloutier, Germain Ho, Kieran Campbell, Evan Gibbard, Katherine M Lawrence, Tayyebeh Nazeran, Anthony N. Karnezis, Clara Salamanca, Angela S Cheng, Jessica N McAlpine, Sohrab Shah, Lien N Hoang, C Blake Gilks and David G Huntsman. CELL OF ORIGIN, MUTATION AND MICROENVIRONMENT: MODELING EARLY EVENTS OF ENDOMETRIOSIS ASSOCIATED CANCERS [abstract]. In: Proceedings of the 12th Biennial Ovarian Cancer Research Symposium; Sep 13-15, 2018; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2019;25(22 Suppl):Abstract nr GMM-020.
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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) | 0.001 | 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 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".