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Article

Tumoroid model recreates clinically relevant phenotypes of high grade serous ovarian cancer cells, carcinoma associated fibroblasts, and macrophages.

Acta biomaterialia - 1 Mar 2026

Burkhard Kathleen M, Semwal Ayush, Johnson Benjamin K, Chu Kristina C, Kranick Riley J, Rayan Mihika, DiFeo Analisa, Shen Hui, Mehta Geeta

Abstract excerpt

Ovarian cancer, the gynecological malignancy with the lowest survival rate, is significantly influenced by the tumor microenvironment. The mesenchymal subtype of high-grade serous carcinoma (HGSC) shows poor outcomes due to high stromal and low immune response. Single-cell RNA sequencing (scRNA-seq) of HGSC metastatic ascites has identified carcinoma-associated fibroblasts (CAFs), macrophages, and...

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Share to Cancer-Associated Fibroblasts
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41655669
DOI: 10.1016/j.actbio.2026.02.005

Genes

CD44

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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Tumoroid model recreates clinically relevant phenotypes of high grade serous ovarian cancer cells, carcinoma associated fibroblasts, and macrophages.PMID 41655669Read ↗

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Single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinomaSemantic proximity Read ↗

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