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Characterization of ovarian cancer cell lines as in vivo models for preclinical studies
Open accessAbstract
Objective The value of cell lines for pre-clinical work lies in choosing those with similar characteristics. Selection of cell lines is typically based on patient history, histological subtype at diagnosis, mutation patterns, or signaling pathways. Although recent studies established consensus regarding molecular characteristics of ovarian cancer cell lines, data on in vivo tumorigenicity remains only sporadically available, impeding translation of in vitro work to xenograft models.Methods We introduced 18 ovarian cancer cell lines into athymic nude mice through subcutaneous, intraperitoneal, and ovary intrabursal routes, and observed tumor development over 6weeks. We also profiled cell line gene expression and identified differentially expressed gene sets based on their ability to form tumors in the subcutaneous or intraperitoneal locations. Representative cell lines were further subjected to proteomic analyses.Results Ovarian cancer cell lines showed variable ability to grow in mice when implanted subcutaneous, intraperitoneal, or intrabursal. While some cell lines grew well in both SC and IP locations, others showed a strong propensity to grow in one location only. Gene expression profiles suggested that cell lines showing preference for IP growth had gene expression patterns more similar to primary tumors.Conclusions We report the tumorigenicity of 17 human ovarian cancer cell lines and one mouse cell line in three distinct anatomical locations, and associated gene networks. Growth patterns and histopathology, linked to molecular characteristics, provide a valuable resource to the research community, and better guide the choice of cell lines for in vitro studies to translate efficiently into xenograft testing.
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“Ovarian cancer cell lines show variable ability to grow in nude mice when implanted either subcutaneously (SC), intraperitoneally (IP) or intrabursally (Hernandez et al., 2016).”
From Three-dimensional modelling of ovarian cancer: from cell lines to organoids for discovery and personalized medicine (2022) · cites this paper as Hernandez et al., 2016
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Cites
Siegel, R. L., Miller, K. D., & Jemal, A. (2015) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21254 · Cited by 11,854
Integrated genomic analyses of ovarian carcinoma
Perou, C. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/hvp3-wg08 · Cited by 7,927
Ovarian Cancer Development and Metastasis
Lengyel, E. R. (2010) · American Journal Of Pathology · doi:10.2353/ajpath.2010.100105 · Cited by 1,702
Novel Molecular Subtypes of Serous and Endometrioid Ovarian Cancer Linked to Clinical Outcome
Tothill, R. W., Tinker, A. V., George, J., Brown, R. E., Fox, S. B., Lade, S., Johnson, D., Trivett, M. K., Etemadmoghadam, D., Locandro, B., et al. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-08-0196 · Cited by 1,458
Evaluating cell lines as tumour models by comparison of genomic profiles
Domcke, S., Sinha, R., Levine, D. A., Sander, C., & Schultz, N. D. (2013) · Nature Communications · doi:10.1038/ncomms3126 · Cited by 1,457
Pearce, C. L., Templeman, C., Rossing, M. A., Lee, A., Near, A. M., Webb, P. M., Nagle, C. M., Doherty, J. A., Cushing-Haugen, K. L., Wicklund, K. G., et al. (2012) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70404-1 · Cited by 939
Absence of HeLa Cell Contamination in 169 Cell Lines Derived From Human Tumors2
Fogh, J., Wright, W. C., & Loveless, J. D. (1977) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/58.2.209 · Cited by 663
Development of a Syngeneic Mouse Model for Events Related to Ovarian Cancer
Roby, K. F., Taylor, C. C., Sweetwood, J. P., Cheng, Y., Pace, J. L., Tawfik, O., Persons, D. L., Smith, P. G., & Terranova, P. F. (2000) · Carcinogenesis · doi:10.1093/carcin/21.4.585 · Cited by 593
Hamilton, T. C., Young, R. C., McKoy, W. M., Grotzinger, K. R., Green, J. A., Chu, E. W., Whang‐Peng, J., Rogan, A. M., Green, W. R., & Ozols, R. F. (1983) · PubMed · Cited by 539
Behrens, B. C., Hamilton, T. C., Masuda, H., Grotzinger, K. R., Whang‐Peng, J., Louie, K. G., Knutsen, T., McKoy, W. M., Young, R. C., & Ozols, R. F. (1987) · PubMed · Cited by 498
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Rickard, B. P., Conrad, C., Sorrin, A. J., Ruhi, M. K., Reader, J. C., Huang, S. A., Franco, W., Scarcelli, G., Polacheck, W. J., Roque, D. M., et al. (2021) · Cancers · doi:10.3390/cancers13174318 · Cited by 163
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House, C. D., Jordan, E., Hernandez, L. F., Ozaki, M. K., James, J. M., Kim, M., Kruhlak, M. J., Batchelor, E., Elloumi, F., Cam, M. C., et al. (2017) · Cancer Research · doi:10.1158/0008-5472.can-17-0366 · Cited by 94
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Robinson, M., Gilbert, S. F., Waters, J. A., Lujano-Olazaba, O., Lara, J., Alexander, L. J., Green, S. E., Burkeen, G., Patrus, O., Sarwar, Z., et al. (2021) · Cancers · doi:10.3390/cancers13020262 · Cited by 84
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Reinartz, S., Lieber, S., Pesek, J., Brandt, D. T., Asafova, A., Finkernagel, F., Watzer, B., Nockher, W. A., Nist, A., Stiewe, T., et al. (2018) · Molecular Oncology · doi:10.1002/1878-0261.12396 · Cited by 73
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Yee, C., Dickson, K.-A., Muntasir, M. N., Ma, Y., & Marsh, D. J. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.836984 · Cited by 66
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Brown, Y., Hua, S., & Tanwar, P. S. (2023) · Matrix Biology · doi:10.1016/j.matbio.2023.02.004 · Cited by 47
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Wu, Y., Zhou, Y., He, J., Sun, H., & Jin, Z. (2019) · Europe PMC (PubMed Central) · Cited by 35
Fritz, J. L., Collins, O. M., Saxena, P., Buensuceso, A. V., Valdés, Y. R., Francis, K. E., Brown, K. R., Larsen, B. G., Colwill, K., Gingras, A., et al. (2020) · Cancers · doi:10.3390/cancers12051250 · Cited by 35
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Bortot, B., Mongiat, M., Valencic, E., Monego, S. D., Licastro, D., Crosera, M., Adami, G., Rampazzo, E., Ricci, G., Romano, F., et al. (2020) · International Journal of Nanomedicine · doi:10.2147/ijn.s247114 · Cited by 33
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Xu, S., Yue, Y., Zhang, S., Zhou, C., Cheng, X., Xie, X., Wang, X., & Lü, W. (2018) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-018-0977-y · Cited by 33
Sanz, D. J., Raivola, J., Karvonen, H., Arjama, M., Barker, H. R., Murumägi, A., & Ungureanu, D. (2021) · Cancers · doi:10.3390/cancers13153727 · Cited by 30
Jones, M. R., Peng, P.-C., Coetzee, S. G., Tyrer, J. P., Reyes, A. L. P., Corona, R. I., Davis, B. D., Chen, S., Dezem, F. S., Seo, J.-H., et al. (2020) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.08.021 · Cited by 25
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Zhu, Y., Borgogno, S. F., Sheng, J., Yeung, T.-L., Burks, J. K., Cappello, P., Jazaeri, A. A., Kim, J., Han, G. H., Birrer, M. J., et al. (2021) · Cancers · doi:10.3390/cancers13081777 · Cited by 26
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Brandon, A. D. H., Box, G., Hallsworth, A., Court, W. J., Matthews, N., Herodek, B., Bermejo-Arteagabeitia, A., Valenti, M. R., & Kirkin, V. (2020) · Scientific Reports · doi:10.1038/s41598-020-67533-1 · Cited by 23
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Waters, J. A., Robinson, M., Lujano-Olazaba, O., Lucht, C., Gilbert, S. F., & House, C. D. (2024) · Cancer Research · doi:10.1158/0008-5472.can-23-2613 · Cited by 20
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Rumman, M., Buck, S. A., Polin, L., Dzinic, S. H., Boerner, J. L., & Winer, I. S. (2021) · Cancer Medicine · doi:10.1002/cam4.3858 · Cited by 14
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Li, Y., Zhao, S., Zhang, F., Jin, G., Zhou, Y., Li, P., Shin, D. S., & Yang, X. (2020) · International Journal of Hyperthermia · doi:10.1080/02656736.2020.1711973 · Cited by 9
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Kudo, K., Greer, Y. E., Crooks, D. R., Yang, Y., Brender, J., Yoshida, T., Harrington, B. S., Kamdar, R. D., Korrapati, S., Shibuya, Y., et al. (2025) · Cell Death and Disease · doi:10.1038/s41419-025-07672-3 · Cited by 7
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Mlynarčíková, A. B., & Scsuková, S. (2024) · Food and Chemical Toxicology · doi:10.1016/j.fct.2024.114889 · Cited by 6
Shen, Y. T., Wang, L. L., Evans, J. C., Allen, C. J., & Piquette‐Miller, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20102498 · Cited by 6
Gündoğan, G. İ., Kığ, C., Karacan, M., & Doğruman, H. (2020) · Turkish Journal of Pharmaceutical Sciences · doi:10.4274/tjps.galenos.2020.58827 · Cited by 6
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Xie, H., Chen, J., Ma, C., Zhao, J., & Cui, M. (2023) · Cell Biology International · doi:10.1002/cbin.12028 · Cited by 6
Ward, A. S., Hall, C. N., Tree, M. O., & Kohtz, D. S. (2024) · Molecular Biology Reports · doi:10.1007/s11033-023-09168-9 · Cited by 6
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Liao, K., Zheng, R., Feng, J., Liu, H., & Xie, G. (2023) · Tropical Journal of Pharmaceutical Research · doi:10.4314/tjpr.v22i4.11 · Cited by 4
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Bose, B., & Bozdag, S. (2020) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/3388440.3412456 · Cited by 2
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Zuo, L., Tan, Y., Xu, Q., Li, X., & Mi, X. (2024) · Biochemical Genetics · doi:10.1007/s10528-024-10665-0 · Cited by 2
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Pundel, O. J., & Neel, B. G. (2025) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a041949 · Cited by 2
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Baert, T., Garg, A. D., Agostinis, P., Vergote, I. B., & Coosemans, A. (2017) · International Journal of Gynecological Cancer · doi:10.1097/igc.0000000000001053 · Cited by 1
Gupta, R. K. (2025) · DNA and cell biology reports. · doi:10.1177/29979811251379351 · Cited by 1
Pangjaya, L. F., Khaerunnisa, S., Mazfufah, N. F., Budiman, R. L., & Antarianto, R. D. (2021) · AIP conference proceedings · doi:10.1063/5.0049155 · Cited by 1
Bose, B., & Bozdag, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.18.520831 · Cited by 1
Bose, B., & Bozdag, S. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.13.149666
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Sodi, V. L., Craig, A. D., Peri, S., & Connolly, D. C. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819840-7.00012-1
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Baghal-Sadriforoush, S., Bagheri, M., Rad, I. A., & Sotoodehnejadnematalahi, F. (2021) · Research Square · doi:10.21203/rs.3.rs-497936/v1
Metadata
- Authors
- Hernandez, L., Kim, M. K., Lyle, L. T., Bunch, K. P., House, C. D., Ning, F., Noonan, A. M., & Annunziata, C. M.
- Affiliations
- National Cancer Institute (US)
- Corresponding author
- Annunziata, Christina M.
- ORCID
- Venue
- Gynecologic Oncology
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 142
- Issue
- 2
- Pages
- 332-340
- ISSN
- 0090-8258 (ISSN-L)
- PMC
- PMC4961516
- OpenAlex
- W2399911066
- Cited by
- 121
- References
- 43
- Citations by year
- 2026: 10 · 2025: 10 · 2024: 15 · 2023: 16 · 2022: 17 · 2021: 15 · 2020: 17 · 2019: 14 · 2018: 4 · 2017: 3
- FWCI
- 9.30
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Gynecologic Oncology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute Intramural Research Program (ZIA BC 011054)
- Topics
- Health Sciences › Medicine › Oncology › Ovarian cancer diagnosis and treatment
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Health Sciences › Medicine › Reproductive Medicine › Reproductive Biology and Fertility
- Keywords
- ovarian cancer cell lines, in vivo tumorigenicity, xenograft models, nude mice, subcutaneous implantation, intraperitoneal implantation, gene expression profiling, proteomic profiling, preclinical model selection
- MeSH terms
- Animals, Drug Screening Assays, Antitumor, Female, Humans, Neoplasm Transplantation, Ovarian Neoplasms, Xenograft Model Antitumor Assays, Cell Line, Tumor, Mice, Heterografts
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