Patient-derived 3D bioprinting pan-cancer drug screening platform for personalized medicine.

医学 个性化医疗 精密医学 药品 生物信息学 病理 药理学 生物
作者
Huiyu Yang,Jiangang Zhang,Ying Shan,Yanan Wang,Yaning Cao,Yuning Sun,Ying Jin,Lingya Pan,Chunhai Ke,Wei Cui,Mian Yang,Bo Zhou,Ziqi Jia,Heng Cao,Yu Wang,Wenbin Ma,Xiao Xu,Haitao Zhao,Huayu Yang,Yilei Mao
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:42 (16_suppl): e15088-e15088 被引量:2
标识
DOI:10.1200/jco.2024.42.16_suppl.e15088
摘要

e15088 Background: Patient-derived tumor model offers an individualized approach to overcome interpatient heterogeneity in cancer therapy. 3D bioprinting (3DB) enables construction of in vitro model with high-throughput, high-fidelity, and high efficacy. We hereby report a pipeline of establishing pan-cancer patient-derived 3DB (PT-3DB) models with personalized drug sensitivity results in 148 patients from multiple medical centers. Methods: Tumor tissues of 148 patients were collected with informed consent at 4 medical centers in Beijing, Hangzhou and Ningbo from 2022-12 to 2023-12. Tumors were digested into cell suspension and mixed with GelMA, and PT-3DB was fabricated by extrusion-based bioprinter. A panel of chemotherapies and targeted therapies was selected based on first-line treatment of corresponding cancer type. PT-3DB was treated with drugs in dose gradient at DIV 5. Cell viability was measured by ATP quantification at DIV 8 and dose-response curve and IC 50 of each drug was calculated. Results: We have established PT-3DB in 148 patients with success rate of > 95% and turnaround time of only 8 days. 137 were surgically resected samples and 11 were biopsy samples. Cancer types included ovarian cancer (OC, n = 52), colorectal cancer (CRC, n = 51), hepatobiliary cancer (HBC, n = 17), breast cancer (BC, n = 10), high-grade glioma (HGG, n = 10), cervical cancer (CC, n = 4), pancreatic cancer (PC, n = 2), and gastric cancer (GC, n = 2). A total of 27 drugs were screened, of which 15 were chemotherapies and 12 were targeted therapies. The median number of drugs tested for each patient was 5 (4-6) (Q25-Q75). Significant interpatient heterogeneous drug response was observed within each cancer type and between tumors with the same treatment regime. Representative data were presented in the attached table. Conclusions: We have successfully constructed pan-cancer PT-3DB platform for personalized drug screening in 148 cases, with outstanding stability across multiple centers. The timeline of 8 days preceded pathological diagnosis, which is the earliest start of systematic treatment, underscoring its high translational potential. PT-3DB has demonstrated interpatient heterogeneous response to systematic treatment, providing a strong foundation for precision medicine. Our ongoing research aims to correlate PT-3DB drug responses with clinical outcomes. [Table: see text]

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