Skip to main content

Advertisement

Log in

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

  • Original Research
  • Published:
Clinical & Experimental Metastasis Aims and scope Submit manuscript

Abstract

Most studies on breast cancer metastasis have been performed using triple-negative breast cancer cells; thus, subtype-dependent metastatic ability of breast cancer is poorly understood. In this research, we performed intravenous injection (IVI) and intra-caudal arterial injections using nine human epidermal growth factor receptor-2 (HER2)-positive breast cancer cell lines for evaluating their metastatic abilities. Our results showed that MDA-MB-453, UACC-893, and HCC-202 had strong bone metastatic abilities, whereas HCC-2218 and HCC-1419 did not show bone metastasis. HER2-positive cell lines could hardly metastasize to the lung through IVI. From the genomic analysis, gene signatures were extracted according to the breast cancer subtypes and their metastatic preferences. The UACC-893 cell line was identified as a useful model for the metastasis study of HER2-positive breast cancer. Combined with our previous result on brain metastasis ability, we provide a characteristic metastasis profile of HER2-positive breast cancer cell lines in this study.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

The data of presented study are available from the corresponding author upon reasonable request.

References

  1. Jemal A, Bray FMM et al (2011) Global cancer statistics. CA Cancer J Clin 61:69–90. https://doi.org/10.3322/caac.20107

    Article  PubMed  Google Scholar 

  2. Liu K, Newbury PA, Glicksberg BS et al (2019) Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data. Nat Commun. https://doi.org/10.1038/s41467-019-10148-6

    Article  PubMed  PubMed Central  Google Scholar 

  3. Jin X, Demere Z, Nair K et al (2020) A metastasis map of human cancer cell lines. Nature 588:331–336. https://doi.org/10.1038/s41586-020-2969-2

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Moasser MM (2007) Targeting the function of the HER2 oncogene in human cancer therapeutics. Oncogene 26:6577–6592. https://doi.org/10.1038/sj.onc.1210478

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Gong Y, Liu YR, Ji P et al (2017) Impact of molecular subtypes on metastatic breast cancer patients: a SEER population-based study. Sci Rep. https://doi.org/10.1038/srep45411

    Article  PubMed  PubMed Central  Google Scholar 

  6. Jiang H, Rugo HS (2015) Human epidermal growth factor receptor 2 positive (HER2+) metastatic breast cancer: how the latest results are improving therapeutic options. Ther Adv Med Oncol 7:321–339. https://doi.org/10.1177/1758834015599389

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Asif HM, Sultana S, Ahmed S et al (2016) HER-2 positive breast cancer—A mini-review. Asian Pacific J Cancer Prev 17:1609–1615. https://doi.org/10.7314/APJCP.2016.17.4.1609

    Article  Google Scholar 

  8. Nakayama J, Han Y, Kuroiwa Y et al (2021) The in vivo selection method in breast cancer metastasis. Int J Mol Sci 22:1–19. https://doi.org/10.3390/ijms22041886

    Article  CAS  Google Scholar 

  9. Kuroiwa Y, Nakayama J, Adachi C et al (2020) Proliferative classification of intracranially injected HER2-positive breast cancer cell lines. Cancers (Basel). https://doi.org/10.3390/cancers12071811

    Article  Google Scholar 

  10. Kuchimaru T, Kataoka N, Nakagawa K et al (2018) A reliable murine model of bone metastasis by injecting cancer cells through caudal arteries. Nat Commun. https://doi.org/10.1038/s41467-018-05366-3

    Article  PubMed  PubMed Central  Google Scholar 

  11. Han Y, Nakayama J, Hayashi Y et al (2020) Establishment and characterization of highly osteolytic luminal breast cancer cell lines by intracaudal arterial injection. Genes Cells 25:111–123. https://doi.org/10.1111/gtc.12743

    Article  CAS  PubMed  Google Scholar 

  12. Nakayama J, Ito E, Fujimoto J et al (2017) Comparative analysis of gene regulatory networks of highly metastatic breast cancer cells established by orthotopic transplantation and intra-circulation injection. Int J Oncol 50:497–504. https://doi.org/10.3892/ijo.2016.3809

    Article  CAS  PubMed  Google Scholar 

  13. Ito E, Honma R, Yanagisawa Y et al (2007) Novel clusters of highly expressed genes accompany genomic amplification in breast cancers. FEBS Lett 581:3909–3914. https://doi.org/10.1016/j.febslet.2007.07.016

    Article  CAS  PubMed  Google Scholar 

  14. Zhou Y, Zhou B, Pache L et al (2019) Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun. https://doi.org/10.1038/s41467-019-09234-6

    Article  PubMed  PubMed Central  Google Scholar 

  15. Murakami A, Maekawa M, Kawai K et al (2019) Cullin-3 / KCTD10 E3 complex is essential for Rac1 activation through RhoB degradation in human epidermal growth factor receptor 2- ­ positive breast cancer cells. Cancer Sci 110:650–661. https://doi.org/10.1111/cas.13899

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Nishiyama K, Maekawa M, Nakagita T et al (2021) CNKSR1 serves as a scaffold to activate an EGFR phosphatase via exclusive interaction with RhoB-GTP. Life Sci Alliance 4:e202101095

    Article  CAS  Google Scholar 

  17. Goldenberg DM, Stein R, Sharkey RM (2018) The emergence of trophoblast cell-surface antigen 2 (TROP-2) as a novel cancer target. Oncotarget 9:28989–29006

    Article  Google Scholar 

  18. Dalotto-Moreno T, Croci DO, Cerliani JP et al (2013) Targeting galectin-1 overcomes breast cancer-associated immunosuppression and prevents metastatic disease. Cancer Res 73:1107–1117. https://doi.org/10.1158/0008-5472.CAN-12-2418

    Article  CAS  PubMed  Google Scholar 

  19. Escárcega RO, Fuentes-Alexandro S, García-Carrasco M et al (2007) The transcription factor nuclear factor-kappa b and cancer. Clin Oncol 19:154–161. https://doi.org/10.1016/j.clon.2006.11.013

    Article  Google Scholar 

  20. Li Q, Lai Q, He C et al (2019) RUNX1 promotes tumour metastasis by activating the Wnt/β-catenin signalling pathway and EMT in colorectal cancer. J Exp Clin Cancer Res. https://doi.org/10.1186/s13046-019-1330-9

    Article  PubMed  PubMed Central  Google Scholar 

  21. Cleris D, Fina C (2019) The detection and morphological analysis of circulating tumor and host cells in breast cancer xenograft models. Cells 8:683. https://doi.org/10.3390/cells8070683

    Article  CAS  PubMed Central  Google Scholar 

  22. Chen F, Liu X, Bai J et al (2016) The emerging role of RUNX3 in cancer metastasis (Review). Oncol Rep 35:1227–1236. https://doi.org/10.3892/or.2015.4515

    Article  CAS  PubMed  Google Scholar 

  23. Manandhar S, Lee YM (2018) Emerging role of RUNX3 in the regulation of tumor microenvironment. BMB Rep 51:174–181. https://doi.org/10.5483/BMBRep.2018.51.4.033

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Park J, Kim HJ, Kim KR et al (2017) Loss of RUNX3 expression inhibits bone invasion of oral squamous cell carcinoma. Oncotarget 8:9079–9092

    Article  Google Scholar 

  25. Barkovskaya A, Buffone A, Žídek M, Weaver VM (2020) Proteoglycans as mediators of cancer tissue mechanics. Front Cell Dev Biol. https://doi.org/10.3389/fcell.2020.569377

    Article  PubMed  PubMed Central  Google Scholar 

  26. Fjeldstad K, Kolset SO (2005) Decreasing the metastatic potential in cancers–targeting the heparan sulfate proteoglycans. Curr Drug Targets 6:665–682. https://doi.org/10.2174/1389450054863662

    Article  CAS  PubMed  Google Scholar 

  27. Quinn JJ, Jones MG, Okimoto RA et al (2021) Single-cell lineages reveal the rates, routes, and drivers of metastasis in cancer xenografts. Science 371:1–21

    Article  Google Scholar 

  28. Chen Y, Qian B, Sun X et al (2021) Sox9/INHBB axis-mediated crosstalk between the hepatoma and hepatic stellate cells promotes the metastasis of hepatocellular carcinoma. Cancer Lett 499:243–254. https://doi.org/10.1016/j.canlet.2020.11.025

    Article  CAS  PubMed  Google Scholar 

  29. Chen X, Cao Q, Liao R et al (2019) Loss of ABAT-mediated GABAergic system promotes basal-like breast cancer progression by activating Ca2+-NFAT1 axis. Theranostics 9:34–47. https://doi.org/10.7150/thno.29407

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Jansen MPHM, Sas L, Sieuwerts AM et al (2015) Decreased expression of ABAT and STC2 hallmarks ER-positive inflammatory breast cancer and endocrine therapy resistance in advanced disease. Mol Oncol 9:1218–1233. https://doi.org/10.1016/j.molonc.2015.02.006

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank Ms Yuka Kuroiwa and laboratory members for the meaningful comments and discussion.

Funding

This study was supported by JSPS KAKENHI (Grant No. 18K16269: Grant-in-Aid for Early-Career Scientist to JN; Grant No. 20J01794, Grant-in-Aid for JSPS fellows to JN; Grant No. 20J23297, Grant-in-Aid for JSPS fellows to YH) and partially supported by the grants for translational research programs from Fukushima Prefecture (SW and KS).

Author information

Authors and Affiliations

Authors

Contributions

YH and KA performed the in vivo experiments. YH preformed the bioinformatics analyses. SW and KS interpreted the data. YH, KA, and JN wrote the manuscript. JN conceived and designed the study. All the authors reviewed and edited the manuscript.

Corresponding author

Correspondence to Jun Nakayama.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Ethical approval

The animal experiments were conducted under the approval of the ethics committee of Waseda University (2020-A067, 2021-A074).

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

10585_2022_10150_MOESM1_ESM.tif

Supplementary Fig. S1 Evaluation of bone metastasis potential of HER2-positive cell lines. The bone metastatic tumors of all transplanted mice (n = 4) at week 8 were observed and summarized. (a) High bone metastatic potential group. (b) Non-high bone metastatic potential group. One of the mice transplanted with BT-474 died during the observation. The mouse indicated with a yellow star exhibited metastatic tumors other than bone tumors. (c) Average tumor size ± standard error of the mean at week 8 for each cell line (TIF 111426 kb)

10585_2022_10150_MOESM2_ESM.tif

Supplementary Fig. S2 Transplantation of the HER2-positive cell lines via IVI. UACC-893, HCC-202, MDA-MB-453, ZR-75–1, HCC-1419, HCC-2218, BT-474, MDA-MB-361, and UACC-812 cells were intravenously injected in the NOD-SCID mice (MDA-MB-453, n = 9; UACC-893, n = 7; HCC-202, n = 5; MDA-MB-361, n = 3; others, n = 4). (a) Lung metastasis was quantified by measuring bioluminescence every week. Left: Bioluminescence on week 1. Right: Bioluminescence on week 8. (b) The lungs were removed from each mouse after the 8-week measurement, and luminescence from the lung was detected using ex vivo BLI (TIF 93701 kb)

Supplementary file3 (PDF 109 kb)

Supplementary file4 (PDF 110 kb)

Supplementary file5 (PDF 104 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Han, Y., Azuma, K., Watanabe, S. et al. Metastatic profiling of HER2-positive breast cancer cell lines in xenograft models. Clin Exp Metastasis 39, 467–477 (2022). https://doi.org/10.1007/s10585-022-10150-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10585-022-10150-1

Keywords

Navigation