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

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

研究成果: ジャーナルへの寄稿学術誌査読

24 被引用数 (Scopus)


The research was to appraise the utility of the patient-derived tumor xenografts (PDXs) as models of estrogen receptor positive (ER+HER2− and ER+HER2+) breast cancers. We compared protein expression profiles by Reverse Phase Protein Array (RPPA) in tumors that resulted in PDXs compared to those that did not. Our overall PDX intake rate for ER+ breast cancer was 9% (9/97). The intake rate for ER+HER2+ tumors (3/16, 19%) was higher than for ER+HER2− tumors (6/81, 7%). Heat map analyses of RPPA data showed that ER+HER2− tumors were divided into 2 groups by luminal A/B signature [protein expression of ER, AR, Bcl-2, Bim (BCL2L11), GATA3 and INPP4b], and this expression signature was also associated with the rate of PDX intake. Cell survival pathways such as the PI3K/AKT signaling and RAS/ERK pathways were more activated in the specimens that could be established as PDX in both classes. Expression of the ER protein itself may have a bearing on the potential success of an ER+ PDX model. In addition, HER2 and its downstream protein expressions were up-regulated in the ER+HER2+ patient tumors that were successfully established as PDX models. Moreover, the comparison of RPPA data between original and PDX tumors suggested that the selection/adaptation process required to grow the tumors in mice is unavoidable for generation of ER+ PDX models, and we identified differences between patient tumor samples and paired PDX tumors. A better understanding of the biological characteristics of ER + PDX would be the key to using PDX models in assessing treatment strategies in a preclinical setting.

ジャーナルJournal of Steroid Biochemistry and Molecular Biology
出版ステータス出版済み - 6月 1 2017

!!!All Science Journal Classification (ASJC) codes

  • 内分泌学、糖尿病および代謝内科学
  • 生化学
  • 分子医療
  • 分子生物学
  • 内分泌学
  • 臨床生化学
  • 細胞生物学


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