Literature DB >> 26232337

Characterization of patient-derived tumor xenograft models of endometrial cancer for preclinical evaluation of targeted therapies.

Jeroen Depreeuw1, Els Hermans2, Stefanie Schrauwen3, Daniela Annibali4, Lieve Coenegrachts5, Debby Thomas6, Mathieu Luyckx7, Ilse Gutierrez-Roelens8, David Debruyne9, Katrien Konings10, Philippe Moerman11, Ignace Vergote12, Diether Lambrechts13, Frédéric Amant14.   

Abstract

OBJECTIVE: Endometrial carcinoma (EC) is the sixth most common cancer in women and therapies are limited for advanced and recurrent disease. Patient-derived tumor xenograft (PDTX) models are becoming popular tools in translational research because of their histological and genetic similarity to the original tumors and the ability to predict therapeutic response to treatments. Here, we established and characterized a panel of 24 EC PDTX models which includes the major histological and genetic subtypes observed in patients.
METHODS: Fresh tumor tissues collected from primary, metastatic and recurrent type I and type II EC patients were engrafted in immunocompromised mice. Histology, vimentin, and cytokeratin expression were evaluated, together with Microsatellite instability (MSI), mutation profiling by Whole Exome Sequencing and copy number profiling by Whole Genome Low Coverage Sequencing. The efficacy of both PI3K and MEK inhibitors was evaluated in a model of endometrioid carcinoma harboring PTEN, PIK3CA and KRAS mutations.
RESULTS: We observed good similarity between primary tumors and the corresponding xenografts, at histological and genetic level. Among the engrafted endometrioid models, we found a significant enrichment of MSI and POLE mutated tumors, compared to non-engrafted samples. Combination treatment with NVP-BEZ235 and AZD6244 showed the possibility to stabilize the tumor growth in one model originated from a patient who already received several lines of chemotherapy.
CONCLUSION: The established EC PDTX models, resembling the original human tumors, promise to be useful for preclinical evaluation of novel combination and targeted therapies in specific EC subgroups.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Endometrial cancer; Patient-derived tumor xenografts; Preclinical models; Targeted therapy

Mesh:

Substances:

Year:  2015        PMID: 26232337     DOI: 10.1016/j.ygyno.2015.07.104

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  14 in total

1.  The allosteric AKT inhibitor, MK2206, decreases tumor growth and invasion in patient derived xenografts of endometrial cancer.

Authors:  Abigail Winder; Kenji Unno; Yanni Yu; John Lurain; J Julie Kim
Journal:  Cancer Biol Ther       Date:  2017-11-27       Impact factor: 4.742

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.  An association between successful engraftment of osteosarcoma patient-derived xenografts and clinicopathological findings.

Authors:  Anneliese Fortuna-Costa; Regina Alcantara Granato; Walter Meohas; Ana Cristina de Sá Lopes; Anabela Cunha Caruso; Rafael Castro E Silva Pinheiro; Pedro da Gama d'Eça; Rhayra Braga Dias; Jamila Alessandra Perini; Ana Paula Fernandes Barbosa; Renato Augusto Moreira de Sá; João Antonio Matheus Guimarães; Samuel S Murray; Maria Eugenia Leite Duarte
Journal:  Histol Histopathol       Date:  2020-09-23       Impact factor: 2.303

4.  Establishment of patient-derived tumor xenograft (PDTX) models using samples from CT-guided percutaneous biopsy.

Authors:  Y-P Zhuang; Y-P Zhu; H-Y Wang; L Sun; J Zhang; Y-P Hao; L Wang
Journal:  Braz J Med Biol Res       Date:  2017-05-18       Impact factor: 2.590

5.  The Role of the Insulin-Like Growth Factor 1 Pathway in Immune Tumor Microenvironment and Its Clinical Ramifications in Gynecologic Malignancies.

Authors:  Muna Alemi Yahya; Shilhav Meisel Sharon; Shay Hantisteanu; Mordechai Hallak; Ilan Bruchim
Journal:  Front Endocrinol (Lausanne)       Date:  2018-06-05       Impact factor: 5.555

6.  The Use of Endometrial Cancer Patient-Derived Organoid Culture for Drug Sensitivity Testing Is Feasible.

Authors:  Eugenia Girda; Eric C Huang; Gary S Leiserowitz; Lloyd H Smith
Journal:  Int J Gynecol Cancer       Date:  2017-10       Impact factor: 3.437

7.  Development of an Image-Guided Orthotopic Xenograft Mouse Model of Endometrial Cancer with Controllable Estrogen Exposure.

Authors:  Gonda Fj Konings; Niina Saarinen; Bert Delvoux; Loes Kooreman; Pasi Koskimies; Camilla Krakstad; Kristine E Fasmer; Ingfrid S Haldorsen; Amina Zaffagnini; Merja R Häkkinen; Seppo Auriola; Ludwig Dubois; Natasja Lieuwes; Frank Verhaegen; Lotte Ejr Schyns; Roy Fpm Kruitwagen; Sofia Xanthoulea; Andrea Romano
Journal:  Int J Mol Sci       Date:  2018-08-28       Impact factor: 5.923

Review 8.  Patient-Derived Xenograft Models for Endometrial Cancer Research.

Authors:  Cristian P Moiola; Carlos Lopez-Gil; Silvia Cabrera; Angel Garcia; Tom Van Nyen; Daniela Annibali; Tina Fonnes; August Vidal; Alberto Villanueva; Xavier Matias-Guiu; Camilla Krakstad; Frédéric Amant; Antonio Gil-Moreno; Eva Colas
Journal:  Int J Mol Sci       Date:  2018-08-17       Impact factor: 5.923

9.  An immune competent orthotopic model of endometrial cancer with metastasis.

Authors:  Alyssa M Fedorko; Tae Hoon Kim; Russell Broaddus; Rosemarie Schmandt; Gadisetti V R Chandramouli; Hong Im Kim; Jae-Wook Jeong; John I Risinger
Journal:  Heliyon       Date:  2020-05-27

10.  Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer.

Authors:  Vanessa F Bonazzi; Olga Kondrashova; Deborah Smith; Katia Nones; Asmerom T Sengal; Robert Ju; Leisl M Packer; Lambros T Koufariotis; Stephen H Kazakoff; Aimee L Davidson; Priya Ramarao-Milne; Vanessa Lakis; Felicity Newell; Rebecca Rogers; Claire Davies; James Nicklin; Andrea Garrett; Naven Chetty; Lewis Perrin; John V Pearson; Ann-Marie Patch; Nicola Waddell; Pamela M Pollock
Journal:  Genome Med       Date:  2022-01-10       Impact factor: 11.117

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