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Transcriptomic analysis of Bioprinted 3D Lung Spheroid Model Mimicking Tumor Microenvironment

GSE298447 Homo sapiens Expression profiling by high throughput sequencing 3 samples Submitted 2026/07/08 Platform GPL34281
Summary
Conventional in vitro and in vivo models often fail to accurately predict clinical outcomes due to their inability to capture the full complexity of the tumor microenvironment (TME). Existing 3D models also face difficulties in reproducing TME complexity and encounter various engineering limitations. In this study, 3D embedded bioprinting was used to construct a heterogeneous lung spheroid (HLS) model that integrates key stromal factors to more closely simulate the TME. RNA sequencing–based transcriptomic profiling revealed gene signatures related to extracellular matrix remodeling, immune suppression, and tumor progression, which showed strong resemblance to patient-derived lung tumor samples and supported the model’s biological relevance. In summary, this model reproduces essential characteristics of the lung TME and holds promise as a tool for assessing advanced therapies targeting complex solid tumors.
Published in
Bioprinted Tumor Microenvironment Models Reveal Immune Evasion and Guide CAR-NK Therapeutic Strategies
Kim D, Jo S, Jang IH et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2026 · PMID 42102353 · doi:10.1002/advs.202521188
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Direct links to NCBI, no account and no request form: the whole study as GSE298447_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 3 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1269475 and SRA study SRP588519. Searching any of these in the dataset finder brings you back here.

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