Research on individualized drug sensitivity detection technology based on bio-3D printing technology for precision treatment of gastrointestinal stromal tumors.
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引用次数: 0
Abstract
This study aims to analyze and explore whether tumor biological three-dimensional printing (3DP) models can serve as reliable preclinical model research tools and assist in the personalized treatment of gastrointestinal stromal tumor (GIST) patients. Ten GIST cases admitted to our hospital from May 2024 to September 2024 were included in the personalized treatment group. Patient-derived GIST 3DP models were established, and treatment plans were selected based on the results of drug sensitivity tests. The progression-free survival (PFS) of the personalized treatment group was compared with that of GIST patients who had progressed after first-line treatment and were admitted to our hospital before the study. Treatment safety was also assessed. Immunofluorescence staining technology was used to observe tumor markers in the 3DP tumor models and their corresponding parent tumor tissues, revealing a high degree of consistency, which indicates that the 3DP tumor models highly retain the histological characteristics of the parent tumor tissues. The median PFS of patients in the personalized treatment group was 6.1 months, compared to 5.3 months in the previous treatment group, with a statistically significant difference (P-value <0.05). The individualized drug sensitivity detection technology based on bio-3D printing technology, used for the personalized treatment of GIST patients who have progressed after first-line treatment, can benefit patients.
期刊介绍:
Open Life Sciences (previously Central European Journal of Biology) is a fast growing peer-reviewed journal, devoted to scholarly research in all areas of life sciences, such as molecular biology, plant science, biotechnology, cell biology, biochemistry, biophysics, microbiology and virology, ecology, differentiation and development, genetics and many others. Open Life Sciences assures top quality of published data through critical peer review and editorial involvement throughout the whole publication process. Thanks to the Open Access model of publishing, it also offers unrestricted access to published articles for all users.