Lung cancer remains a major health problem despite the considerable research into prevention and treatment methods. Through a deeper understanding of tumors, patient-specific ex vivo spheroid models with high specificity can be used to accurately investigate the cause, metastasis, and treatment strategies for lung cancer. Biofabricate lung tumors are presented, consisting of patient-derived tumor spheroids, endothelial cells, and lung decellularized extracellular matrix, which maintain a radial oxygen gradient, as well as biophysicochemical behaviors of the native tumors for precision medicine. It is also demonstrated that the developed lung-cancer spheroid model reproduces patient responses to chemotherapeutics and targeted therapy in a co-clinical trial, with 85% accuracy, 86.7% sensitivity, and 80% specificity. RNA sequencing analysis validates that the gene expression in the spheroids replicates that in the patient's primary tumor. This model can be used as an ex vivo predictive model for personalized cancer therapy and to improve the quality of clinical care.
In article number 2206603 by Mien-Chie Hung, Der-Yang Cho, Yi-Wen Chen, and co-workers, a facile route to construct sophisticated ex vivo lung tumors models consisting of patientderived tumor spheroids, vasculature barrier, and bovine lung ECMs, which maintained a radial oxygen gradient, as well as biophysical and biochemical behaviors of the native tumors is established. This model demonstrates the excellent prediction results (accuracy: 85%; sensitivity: 86.7% and specificity: 80%) for applying in patient-specific precision therapies.
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