Abstract A20: Characterizing chromosome instability in chemonaïve, chemosensitive, and chemoresistant high-grade serous ovarian cancer
Bibliographic record
Abstract
Abstract High-grade serous ovarian cancer (HGSOC) is the most aggressive epithelial ovarian cancer subtype, and >75% of patients experience tumor recurrence following initial treatment, often with drug-resistant disease. Unfortunately, the aberrant events driving tumor progression, recurrence, and multidrug resistance in HGSOC remain largely unknown. Chromosome instability (CIN) is defined as an increased rate at which whole chromosomes (or large fragments) are gained or lost, and in many cancer types CIN is associated with tumor initiation, disease recurrence, multidrug resistance, and poor patient prognosis. Conceptually, the ongoing chromosome changes associated with CIN promote the production of genetically distinct daughter cells and drive cell-to-cell heterogeneity. As CIN remains largely unstudied in HGSOC, we now seek to characterize the prevalence and dynamics of CIN in chemonaïve, chemosensitive, and chemoresistant HGSOC patient samples, including samples isolated from ascites (metastatic cells) and solid tumors (primary tumor). Using single-cell quantitative imaging techniques, we evaluated CIN by assessing CIN phenotypes, including changes in nuclear areas and chromosome numbers. Changes in nuclear areas and increases in cell-to-cell heterogeneity are suggestive of CIN. Next, we employed fluorescence in situ hybridization and chromosome enumeration probes (CEPs) recognizing pericentric regions of chromosomes 8, 11, and 17 to quantify changes in chromosome numbers. Deviations from the expected number of two CEP foci/chromosome/nucleus (i.e., diploid state) are indicative of CIN. CEP specificity was validated within diploid and aneuploid fallopian tube (FT) secretory epithelial cell lines, a cell type of origin for HGSOC. The diploid FT cell lines show two CEPs/chromosome/nucleus and the aneuploid FT cell lines show an aberrant number of CEPs/chromosome/nucleus. CEPs are now being employed in HGSOC ascites samples and solid tumors within a HGSOC tissue microarray. Preliminary data show that nuclear areas and CEP numbers are heterogeneous and dynamic over time. More specifically, our data show CIN is highly prevalent in HGSOC cells isolated from ascites, increases with disease progression and drug resistance, and decreases in response to treatment. Additionally, we show that solid tumor samples (primary tumor) typically contain more frequent gains and/or losses in CEP foci (i.e., higher level of CIN) compared to the ascites samples (metastatic cells). Importantly, characterizing the prevalence of CIN in HGSOC will help researchers understand the association between CIN and tumor development, progression, response, and acquisition of drug resistance. Citation Format: Claire Morden, Ally Farrell, Mirka Sliwowski, Zelda Lichtensztejn, Mark Nachtigal, Kirk McManus. Characterizing chromosome instability in chemonaïve, chemosensitive, and chemoresistant high-grade serous ovarian cancer [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research; 2019 Sep 13-16, 2019; Atlanta, GA. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(13_Suppl):Abstract nr A20.
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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 | 0.001 | 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".