Abstract PR07: Synchronous ovarian and endometrial carcinomas: The case for pseudo-metastasis.
Bibliographic record
Abstract
Abstract Background: Almost half of ovarian endometrioid histotype carcinomas present with concurrent endometrial carcinoma or pre-cancerous lesions. These “synchronous” ovarian and endometrial (SEO) tumors, when organ-confined and low-grade, consistently behave as two independent primary tumors, rather than a tumor-metastasis pair typical of advanced-stage carcinoma. Our study aims to investigate the ancestral relationship between ovarian and endometrial components of SEOs. Methods: We identified a cohort of SEOs and performed targeted, with the Illumina Truseq Custom Amplicon assay, and exome-level, with Nugen Ovation Library System and Agilent SureSelect XT2 capture, library construction followed by massively parallel sequencing on illumina MiSeq or HiSeq. Results: Despite complexities introduced as a result of sampling formalin fixed and paraffin embedded archival specimens we were able to confirm shared identical mutations, and thus a clonal relationship, between ovarian and endometrial tumors in all but one case. Discussion: In simultaneous presentation of cancer of the endometrium and ovary from our series we observed strong evidence of a primary tumor and metastasis relationship. However, the clinical behavior of this series, and SEOs in general, defies the basic tenant of cancer metastasis as a dire prognosis. Curiously similar anomalies, where there is advanced stage yet favorable outcome, occur in other organ systems. We therefore suggest a generalizable process “pseudo-metastasis” through which cells can spread to microenvironment-compatible and physically accessible sites. This restricted metastatic process can occur in cells that lack the full complement of cancer-associated transformation hallmarks required for tissue invasion and hematogenous or lymphatic metastasis. This phenomenon may be an important early step in dissemination of apparent multi-focal benign lesions, pre-malignant lesions, and low-grade carcinomas. This abstract is also presented as Poster B07. Citation Format: Michael S. Anglesio, Yi Kan Wang, Madlen Maassen, Hugo M. Horlings, Ali Bashashati, Blake Gilks, Stefan Kommoss, David G. Huntsman. Synchronous ovarian and endometrial carcinomas: The case for pseudo-metastasis. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: Exploiting Vulnerabilities; Oct 17-20, 2015; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(2 Suppl):Abstract nr PR07.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".