Literature DB >> 22002565

Modeling of response to endocrine therapy in a panel of human luminal breast cancer xenografts.

P Cottu1, E Marangoni, F Assayag, P de Cremoux, A Vincent-Salomon, Ch Guyader, L de Plater, C Elbaz, N Karboul, J J Fontaine, S Chateau-Joubert, P Boudou-Rouquette, S Alran, V Dangles-Marie, D Gentien, M-F Poupon, D Decaudin.   

Abstract

Resistance to endocrine therapy is a major complication of luminal breast cancer and studies of the biological features of hormonal resistance are limited by the lack of adequate preclinical models. The aim of this study is to establish and characterize a panel of primary human luminal breast carcinoma xenografts, and to evaluate their response to endocrine therapies. Four hundred and twenty-three tumor fragments obtained directly from patients have been grafted in the interscapular fatpad of Swiss nude mice. After stable engraftment with estradiol supplementation, xenografted tumors have been validated by conventional pathology and immunohistochemistry examination, and additional molecular studies. In vivo tumor growth and response to different endocrine treatments were evaluated. We have engrafted 423 tumors including 314 ER+ tumors, and 8 new luminal breast cancer xenografts have been obtained (2.5%). Tumor take was much lower for luminal tumors than for non-luminal tumors (2.5 vs. 24.7%, P < 0.0001), and was associated with two independent criteria, i.e., ER status (P < 0.0001) and a high grade tumor (P = 0.05). Histological and immunohistochemical analyses performed on patient's tumors and xenografts showed striking similarities in the tumor morphology as well as in the expression level of ER, PR, and HER2. Response to hormone therapy, evaluated in 6 luminal models, showed different sensitivities, thus exhibiting heterogeneity similar to what is observed in the clinic. We have established a panel of primary human luminal breast cancer xenografts, recapitulating the biological and clinical behaviors of patient tumors, and therefore suitable for further preclinical experiments.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22002565     DOI: 10.1007/s10549-011-1815-5

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  42 in total

1.  Can FDG PET/CT monitor the response to hormonal therapy in breast cancer patients?

Authors:  Laura Evangelista; Domenico Rubello; Giorgio Saladini
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-03       Impact factor: 9.236

Review 2.  The need for complex 3D culture models to unravel novel pathways and identify accurate biomarkers in breast cancer.

Authors:  Britta Weigelt; Cyrus M Ghajar; Mina J Bissell
Journal:  Adv Drug Deliv Rev       Date:  2014-01-09       Impact factor: 15.470

3.  Orthotopic Implantation Achieves Better Engraftment and Faster Growth Than Subcutaneous Implantation in Breast Cancer Patient-Derived Xenografts.

Authors:  Maiko Okano; Masanori Oshi; Ali Butash; Ichiro Okano; Katsuharu Saito; Tsutomu Kawaguchi; Masayuki Nagahashi; Koji Kono; Toru Ohtake; Kazuaki Takabe
Journal:  J Mammary Gland Biol Neoplasia       Date:  2020-02-27       Impact factor: 2.673

Review 4.  Steroid Hormone Receptor Positive Breast Cancer Patient-Derived Xenografts.

Authors:  Shawna B Matthews; Carol A Sartorius
Journal:  Horm Cancer       Date:  2016-10-28       Impact factor: 3.869

5.  Characterization of patient-derived tumor xenografts (PDXs) as models for estrogen receptor positive (ER+HER2- and ER+HER2+) breast cancers.

Authors:  Noriko Kanaya; George Somlo; Jun Wu; Paul Frankel; Masaya Kai; Xueli Liu; Shang Victoria Wu; Duc Nguyen; Nymph Chan; Meng-Yin Hsieh; Michele Kirschenbaum; Laura Kruper; Courtney Vito; Behnam Badie; John H Yim; Yuan Yuan; Arti Hurria; Chu Peiguo; Joanne Mortimer; Shiuan Chen
Journal:  J Steroid Biochem Mol Biol       Date:  2016-05-03       Impact factor: 4.292

Review 6.  Interrogating open issues in cancer precision medicine with patient-derived xenografts.

Authors:  Annette T Byrne; Denis G Alférez; Frédéric Amant; Daniela Annibali; Joaquín Arribas; Andrew V Biankin; Alejandra Bruna; Eva Budinská; Carlos Caldas; David K Chang; Robert B Clarke; Hans Clevers; George Coukos; Virginie Dangles-Marie; S Gail Eckhardt; Eva Gonzalez-Suarez; Els Hermans; Manuel Hidalgo; Monika A Jarzabek; Steven de Jong; Jos Jonkers; Kristel Kemper; Luisa Lanfrancone; Gunhild Mari Mælandsmo; Elisabetta Marangoni; Jean-Christophe Marine; Enzo Medico; Jens Henrik Norum; Héctor G Palmer; Daniel S Peeper; Pier Giuseppe Pelicci; Alejandro Piris-Gimenez; Sergio Roman-Roman; Oscar M Rueda; Joan Seoane; Violeta Serra; Laura Soucek; Dominique Vanhecke; Alberto Villanueva; Emilie Vinolo; Andrea Bertotti; Livio Trusolino
Journal:  Nat Rev Cancer       Date:  2017-01-20       Impact factor: 60.716

Review 7.  Metastasis dormancy in estrogen receptor-positive breast cancer.

Authors:  Xiang H-F Zhang; Mario Giuliano; Meghana V Trivedi; Rachel Schiff; C Kent Osborne
Journal:  Clin Cancer Res       Date:  2013-12-01       Impact factor: 12.531

8.  Combined targeting of mTOR and AKT is an effective strategy for basal-like breast cancer in patient-derived xenograft models.

Authors:  Siguang Xu; Shunqiang Li; Zhanfang Guo; Jingqin Luo; Matthew J Ellis; Cynthia X Ma
Journal:  Mol Cancer Ther       Date:  2013-05-20       Impact factor: 6.261

9.  Ovarian carcinoma patient derived xenografts reproduce their tumor of origin and preserve an oligoclonal structure.

Authors:  Pierre-Emmanuel Colombo; Stanislas du Manoir; Béatrice Orsett; Rui Bras-Gonçalves; Mario B Lambros; Alan MacKay; Tien-Tuan Nguyen; Florence Boissière; Didier Pourquier; Frédéric Bibeau; Jorge S Reis-Filho; Charles Theillet
Journal:  Oncotarget       Date:  2015-09-29

10.  Anti-Tumoral Effects of Anti-Progestins in a Patient-Derived Breast Cancer Xenograft Model.

Authors:  Nathalie Esber; Clément Cherbonnier; Michèle Resche-Rigon; Abdallah Hamze; Mouad Alami; Jérôme Fagart; Hugues Loosfelt; Marc Lombès; Nathalie Chabbert-Buffet
Journal:  Horm Cancer       Date:  2016-03-03       Impact factor: 3.869

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.