Genetic profiles associated with chemoresistance in patient-derived xenograft models of ovarian cancer

Lan Ying Li, Hee Jung Kim, Sun Ae Park, So Hyun Lee, Lee Kyung Kim, Jung Yun Lee, Sunghoon Kim, Young Tae Kim, Sang Wun Kim, Eun Ji Nam

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Purpose Recurrence and chemoresistance (CR) are the leading causes of death in patients with high-grade serous carcinoma (HGSC) of the ovary. The aim of this study was to identify genetic changes associated with CR mechanisms using a patient-derived xenograft (PDX) mouse model and genetic sequencing. Materials and Methods To generate a CR HGSC PDX tumor, mice bearing subcutaneously implanted HGSC PDX tumors were treated with paclitaxel and carboplatin. We compared gene expression and mutations between chemosensitive (CS) and CR PDX tumors with whole exome and RNA sequencing and selected candidate genes. Correlations between candidate gene expression and clinicopathological variables were explored using the Cancer Genome Atlas (TCGA) database and the Human Protein Atlas (THPA). Results Three CR and four CS HGSC PDX tumor models were successfully established. RNA sequencing analysis of the PDX tumors revealed that 146 genes were significantly up-regulated and 54 genes down-regulated in the CR group compared with the CS group. Whole exome sequencing analysis showed 39 mutation sites were identified which only occurred in CR group. Differential expression of SAP25, HLA-DPA1, AKT3, and PIK3R5 genes and mutation of TMEM205 and POLR2A may have important functions in the progression of ovarian cancer chemoresistance. According to TCGA data analysis, patients with high HLA-DPA1 expression were more resistant to initial chemotherapy (p=0.030; odds ratio, 1.845). Conclusion We successfully established CR ovarian cancer PDX mouse models. PDX-based genetic profiling study could be used to select some candidate genes that could be targeted to overcome chemoresistance of ovarian cancer.

Original languageEnglish
Pages (from-to)1117-1127
Number of pages11
JournalCancer Research and Treatment
Volume51
Issue number3
DOIs
Publication statusPublished - 2019 Jul 1

Bibliographical note

Funding Information:
This research was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute funded by the Ministry of Health &Welfare, Republic of Korea (grant number: HI17C0321), by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, ICT & Future Planning (2011-0013127, 2014R1A1A2053635, 2014R1A1A1A-05002926, 2015R1A2A2A01008162, 2015R1C1A2A01053516, and 2017R1A2B4005503) and faculty research grant of Yonsei University College of Medicine (6-2018-0053).

Funding Information:
This research was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Devel- opment Institute funded by the Ministry of Health &Welfare, Republic of Korea (grant number: HI17C0321), by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, ICT & Future Planning (2011-0013127, 2014R1A1A2053635, 2014R1A1A1A-05002926, 2015R1A2A2A01008162, 2015R1C1A2A01053516, and 2017R1A2B4005503) and faculty research grant of Yonsei University College of Medicine (6-2018-0053).

Publisher Copyright:
Copyright 2019 by the Korean Cancer Association This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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