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Медицинская библиотека · American journal of translational research · 2019

Establishment of the PDTX model of gynecological tumors.

Yang Wen, Fan Wen-Sheng, Ye Ming-Xia, Li Zhen, Gu Cheng-Lei, Zhu Yan-Ping, Hao Yan-Peng, Wang Zhi-Qiang, Wang Li, Meng Yuan-Guang

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Аннотация

OBJECTIVE

Fresh tumor tissues from patients with gynecological tumors were obtained by surgery or biopsy, and transplanted into NOD-Prkdcem26ll2rgem26Nju (NCG) mice to establish a patient-derived tumor xenograft (PDTX).

MATERIALS AND

METHODS

A total of 15 patients with gynecologic tumors were enrolled into the present study. Among these patients, 12 patients had epithelial fallopian tube/ovarian/peritoneal cancer, one patient had metastatic ovarian cancer, and two patients had cervical cancer. Furthermore, among these patients, three patients were treated with puncture or microscopy biopsy, six patients underwent laparoscopic surgery, and six patients underwent robotic surgery. The tumor formation latency, tumor formation rate, tumor volume, tumor invasion and metastasis of the transplanted tumor were observed, the consistency of the PDTX model tumor tissue and patient's primary tumor tissue was compared by pathological H&E staining, and pharmacodynamics testing was performed.

RESULTS

Seven of 15 PDTX models were successfully established, with a success rate of 46.7%. The tumor formation time ranged within 21-130 days, with a median tumor formation time of 73 days. The PDTX model maintained the differentiation, morphological and structural characteristics of tumor cells, and the pharmacodynamic test was completed in five patients.

CONCLUSION

The PDTX model is highly consistent with the pathology of the patient's tumor, and can be used as a substitute for clinical patients to guide the accurate treatment and scientific research of gynecological tumors.

Для цитирования: Yang Wen, Fan Wen-Sheng, Ye Ming-Xia, Li Zhen, Gu Cheng-Lei, Zhu Yan-Ping, Hao Yan-Peng, Wang Zhi-Qiang, Wang Li, Meng Yuan-Guang. Establishment of the PDTX model of gynecological tumors.. American journal of translational research. 2019.
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