Establishment and characterization of an ovarian yolk sac tumor patient-derived xenograft model
| Autor: | Manling Luo, Yuanqiao He, Puying Luo, Shiyun Li, Baogang Xie, Fuqiang Gan, Shouhua Zhang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
endocrine system
medicine.medical_treatment Transplantation Heterologous Mice Nude Antineoplastic Agents Bleomycin Pathogenesis Mice chemistry.chemical_compound In vivo medicine Animals Humans Etoposide Ovarian Neoplasms Cisplatin Mice Inbred BALB C Chemotherapy business.industry Endodermal Sinus Tumor General Medicine Neoplasms Germ Cell and Embryonal Xenograft Model Antitumor Assays Disease Models Animal chemistry Pediatrics Perinatology and Child Health Cancer research Heterografts Immunohistochemistry Female Surgery business Ovarian Yolk Sac Tumor medicine.drug |
| Zdroj: | Pediatric Surgery International. 37:1031-1040 |
| ISSN: | 1437-9813 0179-0358 |
| Popis: | The lack of appropriate preclinical models of ovarian yolk sac tumor (OYST) is currently hindering the pursuit of new methods of treatment and investigation of the pathogenesis of the disease. We developed and characterized an OYST patient-derived xenograft (PDX) model in this study. Tumor fragments from a patient with an OYST were implanted subcutaneously into BALB/c Nude mice. Engrafted xenografts were compared with the original tumor according to histology, immunohistochemistry, humanized identified, and drug efficacy testing with in vivo treatment programs. There was a high degree of histologic and immunohistochemical (IHC) resemblance between the established PDX model and its corresponding human tumors. Bleomycin, etoposide, and cisplatin (JEB) chemotherapy regimens were effective in clinical patients and were effective in the OYST PDX model; therefore, the effect of PDX intervention was consistent with clinical outcomes of OYSTs. We have successfully established an OYST PDX model. This OYST model preserves the basic molecular features of the primary human tumor, thereby providing a valuable method to preclinically evaluate new treatments and explore disease pathogenesis. |
| Databáze: | OpenAIRE |
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