التفاصيل البيبلوغرافية
| العنوان: |
Zebrafish Patient-Derived Xenograft Model to Predict Treatment Outcomes of Colorectal Cancer Patients |
| المؤلفون: |
Gregorio Di Franco, Alice Usai, Margherita Piccardi, Perla Cateni, Matteo Palmeri, Luca Emanuele Pollina, Raffaele Gaeta, Federica Marmorino, Chiara Cremolini, Luciana Dente, Alessandro Massolo, Vittoria Raffa, Luca Morelli |
| المصدر: |
Biomedicines; Volume 10; Issue 7; Pages: 1474 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2022 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
zebrafish avatar, chemosensitivity, preclinical model, colorectal cancer, personalized medicine |
| الوصف: |
The use of zebrafish embryos for personalized medicine has become increasingly popular. We present a co-clinical trial aiming to evaluate the use of zPDX (zebrafish Patient-Derived Xenografts) in predicting the response to chemotherapy regimens used for colorectal cancer patients. zPDXs are generated by xenografting tumor tissues in two days post-fertilization zebrafish embryos. zPDXs were exposed to chemotherapy regimens (5-FU, FOLFIRI, FOLFOX, FOLFOXIRI) for 48 h. We used a linear mixed effect model to evaluate the zPDX-specific response to treatments showing for 4/36 zPDXs (11%), a statistically significant reduction of tumor size compared to controls. We used the RECIST criteria to compare the outcome of each patient after chemotherapy with the objective response of its own zPDX model. Of the 36 patients enrolled, 8 metastatic colorectal cancer (mCRC), response rate after first-line therapy, and the zPDX chemosensitivity profile were available. Of eight mCRC patients, five achieved a partial response and three had a stable disease. In 6/8 (75%) we registered a concordance between the response of the patient and the outcomes reported in the corresponding zPDX. Our results provide evidence that the zPDX model can reflect the outcome in mCRC patients, opening a new frontier to personalized medicine. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
Cancer Biology and Therapeutics; https://dx.doi.org/10.3390/biomedicines10071474Test |
| DOI: |
10.3390/biomedicines10071474 |
| الإتاحة: |
https://doi.org/10.3390/biomedicines10071474Test |
| حقوق: |
https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.ED45F53B |
| قاعدة البيانات: |
BASE |
