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Record W4409631174 · doi:10.1158/1538-7445.am2025-5201

Abstract 5201: Modeling human mammary epithelial lineages using patient-derived organoid cultures

2025· article· en· W4409631174 on OpenAlexaff
David A. Rowbotham, Samantha Rothwell, Sharon A. Louis, Allen Eaves, Julia Stingl

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsStemcell Technologies
Fundersnot available
KeywordsOrganoidBiologyEpitheliumCell biologyCancer researchGenetics

Abstract

fetched live from OpenAlex

Abstract Organoids have emerged as a powerful model for studying normal and tumor cell biology; however, the application of organoid technology for culturing human breast epithelial cells has been challenging due to the difficulty in maintaining estrogen receptor (ER)-expressing cells in culture. To address this problem, we have developed MammoCult™ Organoid Kit (Human), a modular serum- and phenol red-free cell culture kit that promotes the growth of multilineage organoids, as well as organoids composed solely of ER+ and ER- luminal or basal cells. Primary human breast cells from reduction mammoplasty tissues from both pre- and postmenopausal donors were dissociated and seeded in 3D extracellular matrix domes, as either single cells or tissue fragments. Organoids were typically dissociated and passaged every 10 - 20 days. Cultures were analyzed by flow cytometry and immunocytochemistry for the expression of the pan epithelial marker EpCAM, the luminal markers Keratin 8 (K8), KIT, ER, MUC1, progesterone receptor (PR), and the basal markers CD49f, smooth muscle actin (SMA), and K14. Organoid cultures initiated from single cell suspensions generated distinct organoid morphologies reflective of their cell of origin. Luminal cells generated small hollow cystic organoids composed predominantly of cells that expressed K8, MUC1, and variable levels of expression of ER, PR, and KIT (n = 6 - 12). Notably, ER expression was maintained in luminal organoids for a minimum of 5 passages when split at a 1:3 to 1:5 split ratio (n = 3). Basal cells seeded in Corning® Matrigel® supplemented with collagen I (2 mg/mL) formed terminal ductal lobular unit (TDLU)-like branching structures that were composed solely of K14+SMA+ basal cells and could be passaged for a minimum of 2 passages when co-seeded with human mammary fibroblasts (n = 3). Multilineage organoids composed of both luminal and basal cells could be generated when cell aggregates or tissue fragments were initially seeded (n = 5). These results demonstrate that the MammoCult™ Organoid Kit (Human) offers a robust, in vitro model system for studying human mammary gland biology. Citation Format: David A. Rowbotham, Samantha Rothwell, Sharon A. Louis, Allen C. Eaves, John Stingl. Modeling human mammary epithelial lineages using patient-derived organoid cultures [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5201.

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)0.000
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.122
GPT teacher head0.455
Teacher spread0.333 · 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
Published2025
Admission routes1
Has abstractyes

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