Customizing drug treatments based on individual tumor susceptibility and patient-specific factors is a complex task, highlighting the need for better predictive models tailored to each patient. Preserving tumor architecture is one strategy to address the intricate interactions between stromal cells and tumor cell populations within a patient. In this study, we explored the feasibility of using pretherapeutic endoscopic tissue cultures from patients (ePDTCs) with gastric and esophagogastric junction cancers to assess individual drug susceptibility. We treated these endoscopic tissue slice cultures with 5-FU (1 µM), a modified FLOT regimen comprising 5-FU (10 µM), leucovorin (10 µM), oxaliplatin (20 µM), and docetaxel (0.1 µM), the active metabolite of irinotecan (SN38, at 1 µM and 10 µM) and the PD-1 inhibitor nivolumab (3 µg/ml). Analysis of the tumor tissue revealed stable adaptations to the culture environment, which were further enhanced by adding 2% autologous human serum to the culture media. Dose-dependent responses were observed with SN38 across all samples and individual susceptibility at low concentrations. Both 5-FU and the FLOT regimen as well as PD-1 inhibition, tested at bioavailable dosages, further demonstrated individualized responses in ePDTCs. This study shows that ePDTCs can effectively assess tissue susceptibility to drugs, warranting further investigation in larger cohorts to validate this model's potential alongside clinical treatments.
Personalized drug stratification using endoscopic samples to assess ex vivo gastric cancer tissue susceptibility to chemotherapy and immune checkpoint inhibitors.
利用内镜样本进行个性化药物分层,以评估离体胃癌组织对化疗和免疫检查点抑制剂的敏感性
阅读:4
作者:Hennig Laura, Monecke Astrid, Hoang Ngoc Anh, Thieme René, Prill Sebastian, Hoffmeister Albrecht, Tuennemann Jan, Bechmann Ingo, Lordick Florian, Kallendrusch Sonja
| 期刊: | Clinical and Experimental Medicine | 影响因子: | 3.500 |
| 时间: | 2025 | 起止号: | 2025 Jun 4; 25(1):188 |
| doi: | 10.1007/s10238-025-01694-z | 研究方向: | 免疫/内分泌 |
| 疾病类型: | 胃癌 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
