GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE298nnn/GSE298447/primaryOK200TranscriptomicsHomo sapiensExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE298447GEOGSEfalseTranscriptomic analysis of Bioprinted 3D Lung Spheroid Model Mimicking Tumor MicroenvironmentConventional 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.2026/07/08GSE298447GSM9014569GSM9014568GSM901456734281298447Homo sapiens[42102353]