henhaobio
Sign in

BiofabricationCancer BiologyPeer-reviewed journal article

Systematic Growth Factor Profiling Platform for 3D Tumor Models Reveals Estradiol-Responsive Cellular Mechanisms of Immunotherapy Resistance

Kwanghwan LeeiD, Minsung KimiD, Si On LimiD, Dong-Ju Shin, Yun Shin, Jung-Joo Choi, Jeong Won LeeiD, Hyun Ju KangiD

PDFDOIPreprint

Abstract

Current organoid culture systems face critical limitations: standardized growth factor formulations fail to capture patient-specific signaling requirements, and single-cell-type approaches overlook tumor-stromal interactions essential for understanding immunotherapy resistance. To address these challenges, we developed an innovative biofabrication platform that systematically integrates patient-derived three-dimensional (3D) cultures with comprehensive growth factor profiling across 128 combinations. Through systematic screening of 23 ovarian cancer patient samples and single-cell RNA sequencing, we identified two estradiol-responsive cellular populations that coordinate immunosuppression: a malignant cell fraction (MAL.PDCD5) and a cancer-associated fibroblast (CAF) fraction (FB.TNFSF10). MAL.PDCD5 cells suppress immune infiltration by downregulating antigen presentation, while FB.TNFSF10 cells promote immunosuppression through enhanced TGF-{beta} signaling. Spatial transcriptomic analysis revealed striking mutual exclusivity between FB.TNFSF10 cells and T/NK cells, providing evidence of active immune cell exclusion. Most significantly, FB.TNFSF10 abundance emerged as a robust predictor of immune checkpoint inhibitor therapy resistance across multiple cancer cohorts, independent of conventional biomarkers. This biofabrication platform provides a scalable framework for drug screening and biomarker discovery, with immediate applications in precision medicine for patient stratification and combination therapy development.

Citations
0
FWCI
0.00
Field percentile
21th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.