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Abstract 1950: Differential expression of MUC16 mucin (CA125) depending on the architecture of the tumors developed in an orthotopic mouse model of high-grade serous ovarian cancer

2019· article· en· W2955183120 on OpenAlexaff
Alicia A. Goyeneche, Michael A. Lisio, Zu‐Hua Gao, Carlos M. Telleria

Bibliographic record

VenueTumor Biology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Research and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsMucinSerous fluidOvarian cancerCancerSerous ovarian cancerImmunohistochemistryExpression (computer science)Cancer researchPathologyMedicineComputer scienceInternal medicine

Abstract

fetched live from OpenAlex

The histopathology of high-grade serous ovarian cancer (HGSOC) in orthotopic mouse models has received limited attention. Using immunosuppressed mice, we generated intraperitoneal HGSOC disease that includes formation of ascites and/or pleural effusions, together with a myriad of intra-abdominal growths. We studied 3 HGSOC cell lines evolved from the same patient along disease progression—a platinum-sensitive, PEO1; a platinum-resistant after further relapse, PEO4; and another at the end of life, PEO6. We found that the animals were prone to develop the disease sooner when implanted with cells obtained from the most advanced disease. Using these models, we characterized the histopathology of the masses preferably developed in the stomach-spleen-pancreas region enclosing the omentum. Other sites of tumor formation we found where the lower pelvic cavity, the peritoneal wall, the liver base, the diaphragm, the lungs, the uterus, and the ovaries. The architecture of the tumors was more often represented by slit-like fenestrations, yet certain zones displayed papillary, glandular, or solid structures sometimes including infiltrating lymphocytes. When we studied the expression of antigen CA125, we found that its pattern of staining was highly heterogeneous. In PEO1/4/6 cells maintained in culture CA125 was expressed in all cell types, yet with a major abundance aligned with disease evolution. In vivo, within the tumors, the expression of CA125 was mostly limited to the apical region of cells facing slit-like spaces generated in between solid sheets of tumor cells surrounded by fibrovascular stroma. When tumor cells were located deep within homogeneous solid masses devoid of slit-like fenestrations, they usually did not express CA125. In contrast, when cells were found gathered as multicellular structures free-floating in open spaces surrounding target organs—e.g. within the bursa around the ovaries—CA125 was highly expressed. This is coincident with the high expression of CA125 observed in vitro in cells spontaneously forming multicellular aggregates in suspension. It is likely that HGSOC cells express CA125 to face or invade into open spaces. In summary, this work reveals tissue heterogeneity and polarity in the expression of CA125 in solid tumors of HGSOC developed in immunosuppressed mice. This selected pattern of expression may be related to the oncogenic functions of CA125 (a.k.a. MUC16, a glycoprotein), such as protecting cells from immunological attacks, or promoting metastases by binding to mesothelin produced by mesothelial cells that line the peritoneal cavity.Citation Format: Alicia A. Goyeneche, Michael A. Lisio, Zu-hua Gao, Carlos M. Telleria. Differential expression of MUC16 mucin (CA125) depending on the architecture of the tumors developed in an orthotopic mouse model of high-grade serous ovarian cancer [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 1950.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.287
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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