Literature DB >> 30587497

Multiregion Genomic Analysis of Serially Transplanted Patient-derived Xenograft Tumors.

Kuniaki Sato1,2, Atsushi Niida3, Takaaki Masuda1, Dai Shimizu1, Taro Tobo4, Yousuke Kuroda1, Hidetoshi Eguchi1, Takashi Nakagawa2, Yutaka Suzuki5, Koshi Mimori6.   

Abstract

BACKGROUND: Intratumoral heterogeneity (ITH) is a major cause underlying therapeutic difficulty of cancer. Although an understanding of ITH is critically important in order to develop novel therapeutic strategies, experimental models that enable the examination of ITH in a time series are lacking.
MATERIALS AND METHODS: We developed an experimental approach based on patient-derived xenograft (PDX) mice and a multiregional sequencing approach (MRA). The multiple regions of primary colorectal cancer (CRC) and serially transplanted PDX tumors were analyzed via whole-exome sequencing and bioinformatic analyses.
RESULTS: Our PDX-MRA of CRC indicated the spatiotemporal genetic transition of ITH. It was found that the subclonal architecture of CRC dynamically changes during serial transplantation. Furthermore, our data suggest that environmental selective pressures drive the development of minor pre-existing subclones in PDX-MRA.
CONCLUSION: PDX-MRA is a useful tool for understanding the spatiotemporal dynamics of ITH. Copyright
© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Colorectal cancer; intratumor heterogeneity; patient-derived xenograft; whole exome sequencing

Mesh:

Year:  2019        PMID: 30587497      PMCID: PMC6348396          DOI: 10.21873/cgp.20109

Source DB:  PubMed          Journal:  Cancer Genomics Proteomics        ISSN: 1109-6535            Impact factor:   4.069


  3 in total

1.  Clonal populations of a human TNBC model display significant functional heterogeneity and divergent growth dynamics in distinct contexts.

Authors:  Hendrik J Kuiken; Sabin Dhakal; Laura M Selfors; Chandler M Friend; Tian Zhang; Maurizio Callari; Ron C J Schackmann; G Kenneth Gray; Jett Crowdis; Hyo-Eun C Bhang; Timour Baslan; Frank Stegmeier; Steven P Gygi; Carlos Caldas; Joan S Brugge
Journal:  Oncogene       Date:  2021-10-26       Impact factor: 9.867

Review 2.  Deciphering Tumor Heterogeneity in Hepatocellular Carcinoma (HCC)-Multi-Omic and Singulomic Approaches.

Authors:  Renumathy Dhanasekaran
Journal:  Semin Liver Dis       Date:  2021-01-14       Impact factor: 6.115

3.  A unified simulation model for understanding the diversity of cancer evolution.

Authors:  Atsushi Niida; Takanori Hasegawa; Hideki Innan; Tatsuhiro Shibata; Koshi Mimori; Satoru Miyano
Journal:  PeerJ       Date:  2020-04-08       Impact factor: 2.984

  3 in total

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