Literature DB >> 28000849

Comparative analysis of gene regulatory networks of highly metastatic breast cancer cells established by orthotopic transplantation and intra-circulation injection.

Jun Nakayama1, Emi Ito2, Jiro Fujimoto1, Shinya Watanabe2, Kentaro Semba1.   

Abstract

Metastasis signature genes in breast cancer have been studied comparing transcriptomic profiles of highly metastatic cancer cell lines established by intra-circulation injection with that of their parental cell line. However, this method is not suitable to analyze the initial steps of metastasis including invasion into local tissues and the circulatory system. To characterize the molecular mechanisms of early metastasis, we established highly metastatic MDA-MB-231 cell lines that metastasized to lung by the two animal transplantation models: the orthotopic transplantation method, which mimics all steps of metastasis, or intra-circulation injection method. We then performed data-mining and network analysis of gene expression profiles of metastatic cell lines established by each transplantation method. Transcriptome analysis of seven metastatic cell lines revealed novel lung metastasis signature genes, including known metastasis promoting genes and signature genes. In the OXconc (orthotopic xenograft concentration) signature, 'chemotaxis' and 'cell adhesion' terms were enriched. In the TVIconc (tail vein injection concentration) signature, 'antigen recognition' and 'cell adhesion' were enriched. Furthermore, network analysis of the metastasis signature genes highlighted hub genes in the gene regulatory network. Our findings show that expression profiles of highly metastatic cell lines were different between the orthotopic transplantation and intra-circulation injection method. It also indicates that some metastatic signature genes have been missed in previous studies. Characterization of metastasis genes using the orthotopic transplantation method will be helpful in understanding the multi-step mechanisms of metastasis. Signature genes in OXconc may have the potential to become prognostic markers.

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Year:  2016        PMID: 28000849     DOI: 10.3892/ijo.2016.3809

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  9 in total

1.  Epithelial cells remove precancerous cells by cell competition via MHC class I-LILRB3 interaction.

Authors:  Nagisa Kamoshita; Jun Nakayama; Shiyu Ayukawa; Ryohei Teramoto; Novalia Pishesha; Kenji Ohba; Nanami Sato; Kei Kozawa; Hikari Abe; Kentaro Semba; Nobuhito Goda; Yasuyuki Fujita; Takeshi Maruyama
Journal:  Nat Immunol       Date:  2021-10-22       Impact factor: 31.250

2.  CD44 Mediates Oral Squamous Cell Carcinoma-Promoting Activity of MRE11 via AKT Signaling.

Authors:  Shyng-Shiou F Yuan; Amos C Hung; Ching-Wei Hsu; Ting-Hsun Lan; Chang-Wei Su; Tsung-Chen Chi; Yu-Chiuan Chang; Yuk-Kwan Chen; Yen-Yun Wang
Journal:  J Pers Med       Date:  2022-05-21

3.  Metastasis-Specific Gene Expression in Autochthonous and Allograft Mouse Mammary Tumor Models: Stratification and Identification of Targetable Signatures.

Authors:  Christina Ross; Karol Szczepanek; Maxwell Lee; Howard Yang; Cody J Peer; Jessica Kindrick; Priya Shankarappa; Zhi-Wei Lin; Jack D Sanford; William D Figg; Kent W Hunter
Journal:  Mol Cancer Res       Date:  2020-06-08       Impact factor: 5.852

4.  Metastatic profiling of HER2-positive breast cancer cell lines in xenograft models.

Authors:  Yuxuan Han; Kazushi Azuma; Shinya Watanabe; Kentaro Semba; Jun Nakayama
Journal:  Clin Exp Metastasis       Date:  2022-02-01       Impact factor: 5.150

5.  Generation of Rat Monoclonal Antibodies Specific for Human Stromal Cell-Derived Factor-2.

Authors:  Masako Tanaka; Masayuki Shiota; Masaru Koyama; Jun Nakayama; Masakazu Yashiro; Kentaro Semba; Nobuhito Goda
Journal:  Monoclon Antib Immunodiagn Immunother       Date:  2020-01-09

Review 6.  How to Select Firefly Luciferin Analogues for In Vivo Imaging.

Authors:  Ryohei Saito-Moriya; Jun Nakayama; Genta Kamiya; Nobuo Kitada; Rika Obata; Shojiro A Maki; Hiroshi Aoyama
Journal:  Int J Mol Sci       Date:  2021-02-12       Impact factor: 5.923

Review 7.  The In Vivo Selection Method in Breast Cancer Metastasis.

Authors:  Jun Nakayama; Yuxuan Han; Yuka Kuroiwa; Kazushi Azuma; Yusuke Yamamoto; Kentaro Semba
Journal:  Int J Mol Sci       Date:  2021-02-14       Impact factor: 5.923

8.  Identification of two cancer stem cell-like populations in triple-negative breast cancer xenografts.

Authors:  Jun Nakayama; Hiroko Matsunaga; Koji Arikawa; Takuya Yoda; Masahito Hosokawa; Haruko Takeyama; Yusuke Yamamoto; Kentaro Semba
Journal:  Dis Model Mech       Date:  2022-06-23       Impact factor: 5.732

9.  High Sensitivity In Vivo Imaging of Cancer Metastasis Using a Near-Infrared Luciferin Analogue seMpai.

Authors:  Jun Nakayama; Ryohei Saito; Yusuke Hayashi; Nobuo Kitada; Shota Tamaki; Yuxuan Han; Kentaro Semba; Shojiro A Maki
Journal:  Int J Mol Sci       Date:  2020-10-24       Impact factor: 5.923

  9 in total

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