Literature DB >> 31217882

Establishment of pancreatic cancer patient-derived xenograft models and comparison of the differences among the generations.

Wei Xu1, Xiao-Wei Yang1,2, Zheng-Yun Zhao3, Bin Dong4, Xiao-Ya Guan1, Xiu-Yun Tian1, Hong-Gang Qian1, Chun-Yi Hao1.   

Abstract

Tumor samples of pancreatic ductal adenocarcinoma patients, who underwent resection surgery, were implanted into NOD/SCID mice to construct pancreatic cancer patient-derived xenograft (PDX) models and explore the biological changes in the different generations of PDXs. Ten PDXs were successfully generated, and the tumor formation rate of F1 PDXs was found to be 38.46%, which was lower than F2 (77.78%) and F3 (71.43%) PDXs. In addition, latent periods of tumorigenesis of F2 and F3 PDXs were significantly shorter, compared to that in F1 PDXs (P<0.05). Comparison of H&amp;E staining of tumor tissue from primary pancreatic cancer and PDXs showed that all three generations of PDXs had similar histopathology to primary pancreatic cancer, indicating that PDXs may well reproduce the histological patterns of primary human cancer. Besides, Ki67 expression was increased in all three generations of PDXs compared to primary tumors of patients, and additionally, EpCAM expression was increased in F3 PDXs. These results were corroborated by the real-time qPCR and western blot results. Therefore, we concluded that PDXs are able to preserve the differentiation degree, morphological characteristics, and structural features of tumor cells. Furthermore, the latent periods of tumorigenesis are shortened after the first generation, which may be attributed to an increase in expression levels of tumor promoters such as Ki67 and EpCAM. PDX models may become an efficient tool for pancreatic cancer research.

Entities:  

Keywords:  Pancreatic cancer; animal model; patient-derived xenograft

Year:  2019        PMID: 31217882      PMCID: PMC6556656     

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


  5 in total

Review 1.  Role of Biobanks for Cancer Research and Precision Medicine in Hepatocellular Carcinoma.

Authors:  Peyda Korhan; Sanem Tercan Avcı; Yeliz Yılmaz; Yasemin Öztemur Islakoğlu; Neşe Atabey
Journal:  J Gastrointest Cancer       Date:  2021-11-22

2.  Comprehensive comparison of patient-derived xenograft models in Hepatocellular Carcinoma and metastatic Liver Cancer.

Authors:  Wei Xu; Zheng-Yun Zhao; Qi-Ming An; Bin Dong; Ang Lv; Cheng-Peng Li; Xiao-Ya Guan; Xiu-Yun Tian; Jian-Hui Wu; Chun-Yi Hao
Journal:  Int J Med Sci       Date:  2020-10-22       Impact factor: 3.738

3.  Establishment and evaluation of retroperitoneal liposarcoma patient-derived xenograft models: an ideal model for preclinical study.

Authors:  Chang Xu; Liang Yan; Qiming An; Sha Zhang; Xiaoya Guan; Zhen Wang; Ang Lv; Daoning Liu; Faqiang Liu; Bin Dong; Min Zhao; Xiuyun Tian; Chunyi Hao
Journal:  Int J Med Sci       Date:  2022-07-11       Impact factor: 3.642

Review 4.  A pancreas tumor derived organoid study: from drug screen to precision medicine.

Authors:  Jia Yao; Man Yang; Lawrence Atteh; Pinyan Liu; Yongcui Mao; Wenbo Meng; Xun Li
Journal:  Cancer Cell Int       Date:  2021-07-27       Impact factor: 5.722

5.  Patient-Derived Xenografts of High-Grade Serous Ovarian Cancer Subtype as a Powerful Tool in Pre-Clinical Research.

Authors:  Magdalena Cybula; Lin Wang; Luyao Wang; Ana Luiza Drumond-Bock; Katherine M Moxley; Doris M Benbrook; Camille Gunderson-Jackson; Maria J Ruiz-Echevarria; Resham Bhattacharya; Priyabrata Mukherjee; Magdalena Bieniasz
Journal:  Cancers (Basel)       Date:  2021-12-15       Impact factor: 6.639

  5 in total

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