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Record W4362596584 · doi:10.1158/1538-7445.am2023-152

Abstract 152: Robust establishment and expansion of human fallopian tube organoids in serum-free culture

2023· article· en· W4362596584 on OpenAlexaff
Victor Ho, Maggie Mee Kie Chan, Manreet Chehal, Alice Liang, Allen Eaves, Sharon A. Louis, Julia Stingl

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsStemcell Technologies
Fundersnot available
KeywordsOrganoidMatrigelPopulationBiologyFallopian tubeOvarian cancerCell cultureAndrologyPathologyCancerCell biologyMedicineAnatomy

Abstract

fetched live from OpenAlex

Abstract High-grade serous ovarian cancer (HGSOC) is the most prevalent subtype of epithelial ovarian cancer. Despite its name, HGSOC originates in the fallopian tube (FT), but metastasizes quickly in the adnexal region and is the most lethal gynecological cancer worldwide. Organoid culture is emerging as a powerful model for studying normal FT cell biology and ovarian cancer. To standardize primary human FT and HGSOC organoid culture, we have developed GyneCult Fallopian Tube Organoid Medium (FTOM), an optimized serum-free medium and a workflow that supports robust and representative FT organoid culture from freshly isolated or cryopreserved primary human FT cells. FT cultures were initiated by seeding 4000 dissociated single cells directly into 20 µL Corning® Matrigel® domes and overlaying them with FT Organoid Medium. After seeding, cultures were maintained with full-medium changes every 3 - 4 days and were split either in a passage ratio of 1:3, or at 4,000 cells per 20 µL of Matrigel®, as single cells every 8 - 14 days. Cultures were analyzed by immunocytochemistry (ICC) to detect secretory markers keratin 7 (KRT7), oviductal glycoprotein 1 (OVGP1), and PAX8, as well as ciliated cell markers acetylated alpha tubulin (TUBA1A) and FOXJ1. Across all donor samples, approximately 16 ± 8% (mean ± SD) of dissociated EpCAM+ FT cells formed 50 - 300 µm diameter cystic organoids within 14 days (n = 8). Cultures can be maintained for at least 5 passages with 14 - 20 cumulative population doublings, at 3 - 4 doublings per passage. ICC analysis confirmed that organoids contain both polarized KRT7+ OVGP1+ PAX8+ secretory cells and acetylated TUBA1A+ FOXJ1+ ciliated cells, indicating multilineage capacity (n = 5). We also tested the compatibility of GyneCult FTOM for growing HGSOC samples, and we observed that 1 of the 3 tumor samples tested generated organoids with a solid and irregular shaped morphology. These cells could undergo a minimum of 5 cumulative population doublings over 5 passages, at 0.5 - 2 doublings per passage; this performance is in line with recently published HGSOC organoid culture methods. These results demonstrate that GyneCult Fallopian Tube Organoid Medium is a robust medium for initiating and culturing FT epithelium as organoids and is a valuable tool for studying FT biology, with the capacity to support HGSOC organoid culture. Citation Format: Victor Ho, Maggie Chan, Manreet Chehal, Alice Liang, Allen Eaves, Sharon Louis, John Stingl. Robust establishment and expansion of human fallopian tube organoids in serum-free culture [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 152.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.112
GPT teacher head0.415
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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