Literature DB >> 31312388

Establishment of the PDTX model of gynecological tumors.

Wen Yang1, Wen-Sheng Fan1, Ming-Xia Ye1, Zhen Li1, Cheng-Lei Gu1, Yan-Ping Zhu2, Yan-Peng Hao2, Zhi-Qiang Wang2, Li Wang2, Yuan-Guang Meng1.   

Abstract

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.

Entities:  

Keywords:  Gynecological tumors; PDTX; pharmacodynamic screening; xenograft model

Year:  2019        PMID: 31312388      PMCID: PMC6614644     

Source DB:  PubMed          Journal:  Am J Transl Res            Impact factor:   4.060


  5 in total

Review 1.  The mouse resource at National Resource Center for Mutant Mice.

Authors:  Cunxiang Ju; Juan Liang; Mingkun Zhang; Jinlong Zhao; Ling'en Li; Shuai Chen; Jing Zhao; Xiang Gao
Journal:  Mamm Genome       Date:  2022-02-09       Impact factor: 2.957

2.  Validation of a Patient-Derived Xenograft Model for Cervical Cancer Based on Genomic and Phenotypic Characterization.

Authors:  Shunsuke Miyamoto; Tomohito Tanaka; Kensuke Hirosuna; Ruri Nishie; Shoko Ueda; Sousuke Hashida; Shinichi Terada; Hiromi Konishi; Yuhei Kogata; Kohei Taniguchi; Kazumasa Komura; Masahide Ohmichi
Journal:  Cancers (Basel)       Date:  2022-06-16       Impact factor: 6.575

3.  A multicenter clinical study: personalized medication for advanced gastrointestinal carcinomas with the guidance of patient-derived tumor xenograft (PDTX).

Authors:  Yuan Cheng; Shu-Kui Qin; Jin Li; Guang-Hai Dai; Bai-Yong Shen; Jie-Er Ying; Yi Ba; Han Liang; Xin-Bo Wang; Ye Xu; Lin Zhou; Ke-Feng Ding; Yan-Ru Qin; Shu-Jun Yang; Wen-Xian Guan; Hui Zheng; Qian Wang; Hang Song; Yan-Ping Zhu
Journal:  J Cancer Res Clin Oncol       Date:  2021-04-17       Impact factor: 4.553

4.  Identification of Prognostic Markers of Gynecologic Cancers Utilizing Patient-Derived Xenograft Mouse Models.

Authors:  Ha-Yeon Shin; Eun-Ju Lee; Wookyeom Yang; Hyo Sun Kim; Dawn Chung; Hanbyoul Cho; Jae-Hoon Kim
Journal:  Cancers (Basel)       Date:  2022-02-06       Impact factor: 6.639

Review 5.  Opportunities and challenges of patient-derived models in cancer research: patient-derived xenografts, patient-derived organoid and patient-derived cells.

Authors:  Xiaoying Hou; Cong Du; Ligong Lu; Shengtao Yuan; Meixiao Zhan; Pengtao You; Hongzhi Du
Journal:  World J Surg Oncol       Date:  2022-02-17       Impact factor: 2.754

  5 in total

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