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Genomic profile of metastatic breast cancer patient-derived xenografts established using percutaneous biopsy.
Kim, Seongyeong; Shin, Dongjin; Min, Ahrum; Kim, Minjung; Na, Deukchae; Lee, Han-Byeol; Ryu, Han Suk; Yang, Yaewon; Woo, Go-Un; Lee, Kyung-Hun; Lee, Dae-Won; Kim, Tae-Yong; Lee, Charles; Im, Seock-Ah; Kim, Jong-Il.
Affiliation
  • Kim S; Cancer Research Institute, Seoul National University, Seoul, Korea.
  • Shin D; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
  • Min A; Cancer Research Institute, Seoul National University, Seoul, Korea.
  • Kim M; Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea.
  • Na D; Medical Research Center, Genomic Medicine Institute (GMI), Seoul National University, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
  • Lee HB; Ewha Institute of Convergence Medicine, Ewha Womans University Mokdong Hospital, Seoul, Korea.
  • Ryu HS; Department of General Surgery, Seoul National University Hospital, Seoul, Korea.
  • Yang Y; Department of Pathology, Seoul National University Hospital, Seoul, Korea.
  • Woo GU; Cancer Research Institute, Seoul National University, Seoul, Korea.
  • Lee KH; Translational Medicine, Seoul National University College of Medicine, Seoul, Korea.
  • Lee DW; Department of Internal Medicine, Chungbuk University Hospital, Cheong-Ju, Korea.
  • Kim TY; Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
  • Lee C; Cancer Research Institute, Seoul National University, Seoul, Korea.
  • Im SA; Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
  • Kim JI; Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
J Transl Med ; 19(1): 7, 2021 01 06.
Article in En | MEDLINE | ID: mdl-33407601
ABSTRACT

BACKGROUND:

Metastatic breast cancer (mBC) is a complex and life-threatening disease and although it is difficult to cure, patients can benefit from sequential anticancer treatment, including endocrine therapy, targeted therapy and cytotoxic chemotherapy. The patient-derived xenograft (PDX) model is suggested as a practical tool to predict the clinical outcome of this disease as well as to screen novel drugs. This study aimed to establish PDX models in Korean patients and analyze their genomic profiles and utility for translational research.

METHODS:

Percutaneous core needle biopsy or punch biopsy samples were used for xenotransplantation. Whole exome sequencing and transcriptome analysis were performed to assess the genomic and RNA expression profiles, respectively. Copy number variation and mutational burden were analyzed and compared with other metastatic breast cancer genomic results. Mutational signatures were also analyzed. The antitumor effect of an ATR inhibitor was tested in the relevant PDX model.

RESULTS:

Of the 151 cases studied, 40 (26%) PDX models were established. Notably, the take rate of all subtypes, including the hormone receptor-positive (HR +) subtype, exceeded 20%. The PDX model had genomic fidelity and copy number variation that represented the pattern of its donor sample. TP53, PIK3CA, ESR1, and GATA3 mutations were frequently found in our samples, with TP53 being the most frequently mutated, and the somatic mutations in these genes strengthened their frequency in the PDX model. The ESR1 mutation, CCND1 amplification, and the APOBEC signature were significant features in our HR + HER2- PDX model. Fulvestrant in combination with palbociclib showed a partial response to the relevant patient's tumor harboring the ESR1 mutation, and CCND1 amplification was found in the PDX model. AZD6738, an ATR inhibitor, delayed tumor growth in a relevant PDX model.

CONCLUSIONS:

Our PDX model was established using core needle biopsy samples from primary and metastatic tissues. Genomic profiles of the samples reflected their original tissue characteristics and could be used for the interpretation of clinical outcomes.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: J Transl Med Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: J Transl Med Year: 2021 Document type: Article