1. bookVolume 75 (2021): Issue 1 (February 2021)
Journal Details
License
Format
Journal
First Published
14 Sep 2008
Publication timeframe
6 times per year
Languages
English
access type Open Access

Recapitulation of Transcriptomic Characteristics of Primary Breast Tumours in Patient-Derived 3D Cultures in Vitro

Published Online: 01 Mar 2021
Page range: 20 - 24
Received: 22 Jul 2020
Accepted: 13 Nov 2020
Journal Details
License
Format
Journal
First Published
14 Sep 2008
Publication timeframe
6 times per year
Languages
English
Abstract

Breast cancer (BC) is the most common cause of cancer-related deaths among women in Europe and worldwide. Adherent (2D) cell cultures have been the routine in vitro model system employed in preclinical BC research for the last half-century. Over the past decade, new protocols have been developed allowing patient-derived three-dimensional organoid (3D) cell culture development from a range of solid tumours, including BC. These 3D models offer a promise of closer resemblance to the native tumour than the 2D cultures. To test the assumption that an in vitro 3D BC model system provides increased faithfulness to the molecular processes happening in vivo, as compared to 2D BC cultures, post-operational material from three BC patients was used to simultaneously develop 2D and 3D cultures in vitro. When analysed by quantitative polymerase chain reaction (PCR), the gene expression patterns of the cells from 3D cultures resembled the original tissues, while the gene expression patterns of the conventional 2D cultures were more distant.

Keywords

Astashkina, A., Mann, B., Grainger, D. W. (2012). A critical evaluation of in vitro cell culture models for high-throughput drug screening and toxicity. Pharmacol. Ther., 134, 82–106.Search in Google Scholar

Azadi, M., Jamali, T., Kianmehr, Z., Kavoosi, G., Ardestani, S. K. (2020). In-vitro (2D and 3D cultures) and in-vivo cytotoxic properties of Zataria multiflora essential oil (ZEO) emulsion in breast and cervical cancer cells along with the investigation of immunomodulatory potential. J. Ethnopharmacol., 257, 112865.Search in Google Scholar

Baker, B. M., Chen, C. S. (2012). Deconstructing the third dimension — how 3D culture microenvironments alter cellular cues. J. Cell. Sci., 125 (Pt 13), 3015–3024.Search in Google Scholar

Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., Jemal, A. (2018). Global Cancer Statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin.,68 (6), 394–424.Search in Google Scholar

Bleijs, M., van de Wetering, M., Clevers, H., Drost, J. (2019). Xenograft and organoid model systems in cancer research. EMBO J., 38 (15), e101654.Search in Google Scholar

Boj, S. F., Hwang, C.-I., Baker, L. A., Chio, I. I. C., Engle, D. D., Corbo, V., Jager, M., Ponz-Sarvise, M., Tiriac, H., Spector, M. S. et al. (2015). Organoid models of human and mouse ductal pancreatic cancer. Cell, 160 (1–2), 324–338.Search in Google Scholar

Cardoso, F., Kyriakides, S., Ohno, S., Penault-Llorca, F., Poortmans, P., Rubio I. T., Zackrisson, S., Senkus, E. (2019). Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann. Oncol., 30 (8), 1194–1220.Search in Google Scholar

DeRose, Y. S., Gligorich, K. M., Wang, G., Georgelas, A., Bowman, P., Courdy, S. J., Welm, A. L., Welm, B. E. (2013). Patient-derived models of human breast cancer: Protocols for in vitro and in vivo applications in tumor biology and translational medicine. Curr. Protoc. Pharmacol, Chapt. 14, Unit14.23.Search in Google Scholar

Goldhammer, N., Kim, J., Timmermans-Wielenga, V., Petersen, O. W. (2019). Characterization of organoid cultured human breast cancer. Breast Cancer Res., 21, 141.Search in Google Scholar

Muguruma, M., Teraoka, S., Miyahara, K., Ueda, A., Asaoka, M., Okazaki, M., Kawate, T., Kuroda, M., Miyagi, Y., Ishikawa, T. (2020) Differences in drug sensitivity between two-dimensional and three-dimensional culture systems in triple-negative breast cancer cell lines. Biochem. Biophys. Res. Commun., 533 (3), 268–274.Search in Google Scholar

Pirsko, V., Čakstiņa, I., Nitiša, D., Samoviča, M., Daneberga, Z., Miklaševičs, E. (2019). Alterations of the stem-like properties in the breast cancer cell line MDA-MB-231 induced by single pulsed doxorubicin treatment. Proc. Latvian Acad. Sci., Section B, 73 (2), 89–99.Search in Google Scholar

Ramakrishnan, A.-B., Cadigan, K. M. (2017). Wnt target genes and where to find them. F1000Research, 6 (F1000 Faculty Rev), 746.Search in Google Scholar

Sachs, N., Clevers, H. (2014). Organoid cultures for the analysis of cancer phenotypes. Curr. Opin. in Genet. Dev., 24, 68–73.Search in Google Scholar

Sachs, N., de Ligt, J., Kopper, O., Gogola, E., Bounova, G., Weeber, F., Balgobind, A. V., Wind, K., Gracanin, A., Begthel, H. et al. (2018). A living biobank of breast cancer organoids captures disease heterogeneity. Cell, 172, 373–386.Search in Google Scholar

van Schie, E. H., van Amergongen, R. (2020) Aberrant WNT/ CTNNB1 signaling as a therapeutic target in human breast cancer: Weighing the evidence. Front. Cell Dev. Biol., 31, 25.Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo