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Type-Specific Cell Line Models for Type-Specific Ovarian Cancer Research
Open accessAbstract
BACKGROUND: OVARIAN CARCINOMAS CONSIST OF AT LEAST FIVE DISTINCT DISEASES: high-grade serous, low-grade serous, clear cell, endometrioid, and mucinous. Biomarker and molecular characterization may represent a more biologically relevant basis for grouping and treating this family of tumors, rather than site of origin. Molecular characteristics have become the new standard for clinical pathology, however development of tailored type-specific therapies is hampered by a failure of basic research to recognize that model systems used to study these diseases must also be stratified. Unrelated model systems do offer value for study of biochemical processes but specific cellular context needs to be applied to assess relevant therapeutic strategies. METHODS: We have focused on the identification of clear cell carcinoma cell line models. A panel of 32 "ovarian cancer" cell lines has been classified into histotypes using a combination of mutation profiles, IHC mutation-surrogates, and a validated immunohistochemical model. All cell lines were identity verified using STR analysis. RESULTS: Many described ovarian clear cell lines have characteristic mutations (including ARID1A and PIK3CA) and an overall molecular/immuno-profile typical of primary tumors. Mutations in TP53 were present in the majority of high-grade serous cell lines. Advanced genomic analysis of bona-fide clear cell carcinoma cell lines also support copy number changes in typical biomarkers such at MET and HNF1B and a lack of any recurrent expressed re-arrangements. CONCLUSIONS: As with primary ovarian tumors, mutation status of cancer genes like ARID1A and TP53 and a general immuno-profile serve well for establishing histotype of ovarian cancer cell We describe specific biomarkers and molecular features to re-classify generic "ovarian carcinoma" cell lines into type specific categories. Our data supports the use of prototype clear cell lines, such as TOV21G and JHOC-5, and questions the use of SKOV3 and A2780 as models of high-grade serous carcinoma.
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Cites
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
ARID1A Mutations in Endometriosis-Associated Ovarian Carcinomas
Wiegand, K. C., Shah, S. P., Al-Agha, O. M., Zhao, Y., Tse, K., Zeng, T., Senz, J., McConechy, M. K., Anglesio, M. S., Kalloger, S. E., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1008433 · Cited by 1,712
Self-citationdeFuse: An Algorithm for Gene Fusion Discovery in Tumor RNA-Seq Data
McPherson, A., Hormozdiari, F., Zayed, A., Giuliany, R., Ha, G., Sun, M. G. F., Griffith, M., Heravi Moussavi, A., Senz, J., Melnyk, N., et al. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001138 · Cited by 557
Self-citationCheck your cultures! A list of cross‐contaminated or misidentified cell lines
Capes‐Davis, A., Theodosopoulos, G., Atkin, I., Drexler, H. G., Kohara, A., MacLeod, R. A. F., Masters, J. R., Nakamura, Y., Reid, Y. A., Reddel, R. R., et al. (2010) · International Journal of Cancer · doi:10.1002/ijc.25242 · Cited by 520 · cited 1×
“Additionally, human error, mislabeling and the generic feature of ‘‘epithelial-like’’ cell lines have also led to mix ups of cell lines and contamination which has resulted in un-interpretable data [32,33].”
Background
Research works printed but not linked: 88
- N Auersperg, 2011, The origin of ovarian carcinomas: a unifying hypothesis, Int J Gynecol Pathol, 30, 12, 10.1097/PGP.0b013e3181f45f3e · DOI
- SE Kalloger, 2011, Calculator for ovarian carcinoma subtype prediction, Mod Pathol, 24, 512, 10.1038/modpathol.2010.215 · DOI
- RA Soslow, 2008, Histologic subtypes of ovarian carcinoma: an overview, Int J Gynecol Pathol, 27, 161
- M Kobel, 2008, Ovarian carcinoma subtypes are different diseases: implications for biomarker studies, PLoS Med, 5, e232, 10.1371/journal.pmed.0050232 · DOI · Paper page
- MS Anglesio, 2008, Mutation of ERBB2 provides a novel alternative mechanism for the ubiquitous activation of RAS-MAPK in ovarian serous low malignant potential tumors, Mol Cancer Res, 6, 1678, 10.1158/1541-7786.MCR-08-0193 · DOI
- RW Tothill, 2008, Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome, Clin Cancer Res, 14, 5198, 10.1158/1078-0432.CCR-08-0196 · DOI · Paper page
- RJ Kurman, 2011, Molecular pathogenesis and extraovarian origin of epithelial ovarian cancer-Shifting the paradigm, Hum Pathol, 42, 918, 10.1016/j.humpath.2011.03.003 · DOI · Paper page
- RJ Kurman, 2010, The origin and pathogenesis of epithelial ovarian cancer: a proposed unifying theory, Am J Surg Pathol, 34, 433, 10.1097/PAS.0b013e3181cf3d79 · DOI · Paper page
- Network The Cancer Genome Atlas Research, 2011, Integrated genomic analyses of ovarian carcinoma, Nature, 474, 609, 10.1038/nature10166 · DOI · Paper page
- WG McCluggage, 2011, Morphological subtypes of ovarian carcinoma: a review with emphasis on new developments and pathogenesis, Pathology, 43, 420, 10.1097/PAT.0b013e328348a6e7 · DOI · Paper page
- K Levanon, 2010, Primary ex vivo cultures of human fallopian tube epithelium as a model for serous ovarian carcinogenesis, Oncogene, 29, 1103, 10.1038/onc.2009.402 · DOI · Paper page
- JW Carlson, 2010, Serous tubal intraepithelial carcinoma: diagnostic reproducibility and its implications, Int J Gynecol Pathol, 29, 310, 10.1097/PGP.0b013e3181c713a8 · doi:10.1097/pgp.0b013e3181c713a8
- CP Crum, 2007, Lessons from BRCA: the tubal fimbria emerges as an origin for pelvic serous cancer, Clin Med Res, 5, 35, 10.3121/cmr.2007.702 · DOI · Paper page
- AR Laury, 2011, Fallopian tube correlates of ovarian serous borderline tumors, Am J Surg Pathol, 35, 1759, 10.1097/PAS.0b013e318233b0f7 · doi:10.1097/pas.0b013e318233b0f7
- MS Anglesio, 2011, Clear cell carcinoma of the ovary: a report from the first Ovarian Clear Cell Symposium, June 24th, 2010, Gynecol Oncol, 121, 407, 10.1016/j.ygyno.2011.01.005 · DOI · Paper page
- KM Feeley, 2001, Precursor lesions of ovarian epithelial malignancy, Histopathology, 38, 87, 10.1046/j.1365-2559.2001.01042.x · DOI · Paper page
- EJ Thomas, 2000, Evidence that endometriosis behaves in a malignant manner, Gynecol Obstet Invest, 50, 2, 10.1159/000052872 · DOI
- EJ Thomas, 2000, Molecular genetic defects in endometriosis, Gynecol Obstet Invest, 50, 44, 10.1159/000052878 · DOI
- AH Prowse, 2006, Molecular genetic evidence that endometriosis is a precursor of ovarian cancer, Int J Cancer, 119, 556, 10.1002/ijc.21845 · DOI · Paper page
- Schiavone MB, Herzog TJ, Lewin SN, Deutsch I, Sun X, <etal>et al</etal>.. (2011) Natural history and outcome of mucinous carcinoma of the ovary. Am J Obstet Gynecol 205: 480 e481–488. · doi:10.1016/j.ajog.2011.06.049
- MS Anglesio, 2013, Molecular characterization of mucinous ovarian tumours supports a stratified treatment approach with HER2 targeting in 19% of carcinomas, J Pathol, 229, 111, 10.1002/path.4088 · DOI · Paper page
- V Hess, 2004, Mucinous epithelial ovarian cancer: a separate entity requiring specific treatment, J Clin Oncol, 22, 1040, 10.1200/JCO.2004.08.078 · DOI · Paper page
- EM Berns, 2012, The changing view of high-grade serous ovarian cancer, Cancer Res, 72, 2701, 10.1158/0008-5472.CAN-11-3911 · DOI · Paper page
- S Vaughan, 2011, Rethinking ovarian cancer: recommendations for improving outcomes, Nat Rev Cancer, 11, 719, 10.1038/nrc3144 · DOI · Paper page
- JN McAlpine, 2012, BRCA1 and BRCA2 mutations correlate with TP53 abnormalities and presence of immune cell infiltrates in ovarian high-grade serous carcinoma, Mod Pathol, 25, 740, 10.1038/modpathol.2011.211 · DOI · Paper page
- HA Risch, 2006, Population BRCA1 and BRCA2 mutation frequencies and cancer penetrances: a kin-cohort study in Ontario, Canada, J Natl Cancer Inst, 98, 1694, 10.1093/jnci/djj465 · DOI · Paper page
- K Alsop, 2012, BRCA mutation frequency and patterns of treatment response in BRCA mutation-positive women with ovarian cancer: a report from the Australian Ovarian Cancer Study Group, J Clin Oncol, 30, 2654, 10.1200/JCO.2011.39.8545 · DOI · Paper page
- JT Quirk, 2005, Ovarian cancer incidence in the United States, 1992–1999, Gynecol Oncol, 97, 519, 10.1016/j.ygyno.2005.02.007 · DOI · Paper page
- V McGuire, 2002, Survival among U.S. women with invasive epithelial ovarian cancer, Gynecol Oncol, 84, 399, 10.1006/gyno.2001.6536 · DOI
- DM Gershenson, 2012, Treatment of ovarian cancer in young women, Clin Obstet Gynecol, 55, 65, 10.1097/GRF.0b013e318248045b · DOI
- C Korch, 2012, DNA profiling analysis of endometrial and ovarian cell lines reveals misidentification, redundancy and contamination, Gynecol Oncol, 127, 241, 10.1016/j.ygyno.2012.06.017 · DOI · Paper page
- Kommoss S, Gilks CB, Kommoss F, Anglesio MS, Chow C, <etal>et al</etal>.. (2013) Accelerating type-specific ovarian carcinoma research: Calculator for Ovarian Subtype Prediction (COSP) is a reliable high-throughput tool for case review. Histopathology (accepted June 2, 2013). · doi:10.1111/his.12219
- FI Lu, 2012, Prevalence of loss of expression of DNA mismatch repair proteins in primary epithelial ovarian tumors, Int J Gynecol Pathol, 31, 524, 10.1097/PGP.0b013e31824fe2aa · DOI
- VA Malkov, 2009, Multiplexed measurements of gene signatures in different analytes using the Nanostring nCounter Assay System, BMC Res Notes, 2, 80, 10.1186/1756-0500-2-80 · DOI · Paper page
- MK McConechy, 2012, Use of mutation profiles to refine the classification of endometrial carcinomas, J Pathol, 228, 20, 10.1002/path.4056 · DOI · Paper page
- SA Forbes, 2011, COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer, Nucleic Acids Res, 39, D945, 10.1093/nar/gkq929 · DOI · Paper page
- M Kobel, 2011, Biomarker expression in pelvic high-grade serous carcinoma: comparison of ovarian and omental sites, Int J Gynecol Pathol, 30, 366, 10.1097/PGP.0b013e31820d20ba · doi:10.1097/pgp.0b013e31820d20ba
- M Kobel, 2010, The biological and clinical value of p53 expression in pelvic high-grade serous carcinomas, J Pathol, 222, 191, 10.1002/path.2744 · DOI · Paper page
- JN McAlpine, 2009, HER2 overexpression and amplification is present in a subset of ovarian mucinous carcinomas and can be targeted with trastuzumab therapy, BMC Cancer, 9, 433, 10.1186/1471-2407-9-433 · DOI · Paper page
- M Kobel, 2009, A limited panel of immunomarkers can reliably distinguish between clear cell and high-grade serous carcinoma of the ovary, Am J Surg Pathol, 33, 14, 10.1097/PAS.0b013e3181788546 · DOI · Paper page
- S Jones, 2010, Frequent mutations of chromatin remodeling gene ARID1A in ovarian clear cell carcinoma, Science, 330, 228, 10.1126/science.1196333 · DOI · Paper page
- P Taverna, 2000, Characterization of MLH1 and MSH2 DNA mismatch repair proteins in cell lines of the NCI anticancer drug screen, Cancer Chemother Pharmacol, 46, 507, 10.1007/s002800000186 · DOI
- CT Warnick, 2001, Identification of a p53 response element in the promoter region of the hMSH2 gene required for expression in A2780 ovarian cancer cells, J Biol Chem, 276, 27363, 10.1074/jbc.M103088200 · DOI
- IG Campbell, 2004, Mutation of the PIK3CA gene in ovarian and breast cancer, Cancer Res, 64, 7678, 10.1158/0008-5472.CAN-04-2933 · DOI · Paper page
- KT Kuo, 2009, Frequent activating mutations of PIK3CA in ovarian clear cell carcinoma, Am J Pathol, 174, 1597, 10.2353/ajpath.2009.081000 · DOI · Paper page
- A Hirasawa, 2003, Association of 17q21–q24 gain in ovarian clear cell adenocarcinomas with poor prognosis and identification of PPM1D and APPBP2 as likely amplification targets, Clin Cancer Res, 9, 1995
- DS Tan, 2009, PPM1D is a potential therapeutic target in ovarian clear cell carcinomas, Clin Cancer Res, 15, 2269, 10.1158/1078-0432.CCR-08-2403 · DOI · Paper page
- DS Tan, 2011, Genomic analysis reveals the molecular heterogeneity of ovarian clear cell carcinomas, Clin Cancer Res, 17, 1521, 10.1158/1078-0432.CCR-10-1688 · DOI
- MS Anglesio, 2011, IL6-STAT3-HIF signaling and therapeutic response to the angiogenesis inhibitor sunitinib in ovarian clear cell cancer, Clin Cancer Res, 17, 2538, 10.1158/1078-0432.CCR-10-3314 · DOI · Paper page
- Spowart JE, Townsend KN, Huwait H, Eshragh S, West NR, <etal>et al</etal>.. (2012) The Autophagy Protein LC3A Correlates with Hypoxia and is a Prognostic Marker of Patient Survival in Clear Cell Ovarian Cancer. J Pathol. · DOI
- MT Rahman, 2012, Prognostic and therapeutic impact of the chromosome 20q13.2 ZNF217 locus amplification in ovarian clear cell carcinoma, Cancer, 118, 2846, 10.1002/cncr.26598 · DOI
- S Yamamoto, 2011, Gene amplification and protein overexpression of MET are common events in ovarian clear-cell adenocarcinoma: their roles in tumor progression and prognostication of the patient, Mod Pathol, 24, 1146, 10.1038/modpathol.2011.70 · DOI
- S Yamamoto, 2012, Accumulative copy number increase of MET drives tumor development and histological progression in a subset of ovarian clear-cell adenocarcinomas, Mod Pathol, 25, 122, 10.1038/modpathol.2011.143 · DOI
- KT Kuo, 2010, DNA copy numbers profiles in affinity-purified ovarian clear cell carcinoma, Clin Cancer Res, 16, 1997, 10.1158/1078-0432.CCR-09-2105 · DOI
- X Zhang, 2011, The Hippo pathway transcriptional co-activator, YAP, is an ovarian cancer oncogene, Oncogene, 30, 2810, 10.1038/onc.2011.8 · DOI · Paper page
- JJ Wei, 2011, Endometriosis and ovarian cancer: a review of clinical, pathologic, and molecular aspects, International journal of gynecological pathology: official journal of the International Society of Gynecological Pathologists, 30, 553, 10.1097/PGP.0b013e31821f4b85 · DOI · Paper page
- A LaGrenade, 1988, Ovarian tumors associated with atypical endometriosis, Hum Pathol, 19, 1080, 10.1016/S0046-8177(88)80090-X · DOI · Paper page
- K Razzouk, 2007, Mixed clear cell and endometrioid carcinoma arising in parietal endometriosis, Gynecol Obstet Invest, 63, 140, 10.1159/000096437 · DOI
- PJ DiSaia, 1972, Cell-mediated immunity to human malignant cells. A brief review and further studies with two gynecologic tumors, Am J Obstet Gynecol, 114, 979, 10.1016/0002-9378(72)90109-3 · DOI
- TJ Shaw, 2004, Characterization of intraperitoneal, orthotopic, and metastatic xenograft models of human ovarian cancer, Mol Ther, 10, 1032, 10.1016/j.ymthe.2004.08.013 · DOI · Paper page
- J Madore, 2010, Characterization of the molecular differences between ovarian endometrioid carcinoma and ovarian serous carcinoma, J Pathol, 220, 392, 10.1002/path.2659 · DOI
- Farley JH, Brady WE, Birrer MJ, Lankes H, Coleman R, <etal>et al</etal>.. (2012) A phase II trial of selumetinib in women with recurrent low-grade serous carcinoma of the ovary or peritoneum. AACR Annual Meeting 2012, Chicogo, IL, USA. · doi:10.1158/1538-7445.am2012-ct-05
- Altman AD, Nelson GS, Ghatage P, McIntyre JB, Capper D, <etal>et al</etal>.. (2013) The diagnostic utility of TP53 and CDKN2A to distinguish ovarian high-grade serous carcinoma from low-grade serous ovarian tumors. Mod Pathol. · DOI
- I Danjoh, 2013, Dominant expansion of a cryptic subclone with an abnormal karyotype in B lymphoblastoid cell lines during culture, Cytogenet Genome Res, 139, 88, 10.1159/000343757 · DOI
- KQ Cai, 2004, Microsatellite instability and alteration of the expression of hMLH1 and hMSH2 in ovarian clear cell carcinoma, Hum Pathol, 35, 552, 10.1016/j.humpath.2003.12.009 · DOI
- J Liu, 2004, Microsatellite instability and expression of hMLH1 and hMSH2 proteins in ovarian endometrioid cancer, Mod Pathol, 17, 75, 10.1038/modpathol.3800017 · DOI
- K Domanska, 2007, Ovarian cancer at young age: the contribution of mismatch-repair defects in a population-based series of epithelial ovarian cancer before age 40, Int J Gynecol Cancer, 17, 789, 10.1111/j.1525-1438.2007.00875.x · DOI
- KC Jensen, 2008, Microsatellite instability and mismatch repair protein defects in ovarian epithelial neoplasms in patients 50 years of age and younger, Am J Surg Pathol, 32, 1029, 10.1097/PAS.0b013e31816380c4 · DOI
- E Hernandez, 1984, Interobserver variability in the interpretation of epithelial ovarian cancer, Gynecol Oncol, 17, 117, 10.1016/0090-8258(84)90065-9 · doi:10.1016/0090-8258(84)90065-9
- A Sakamoto, 1994, Observer disagreement in histological classification of ovarian tumors in Japan, Gynecol Oncol, 54, 54, 10.1006/gyno.1994.1165 · doi:10.1006/gyno.1994.1165
- SF Cramer, 1987, Evaluation of the reproducibility of the World Health Organization classification of common ovarian cancers. With emphasis on methodology, Arch Pathol Lab Med, 111, 819
- KD Swenerton, 2011, Histotype predicts the curative potential of radiotherapy: the example of ovarian cancers, Ann Oncol, 22, 341, 10.1093/annonc/mdq383 · DOI
- SM Hunter, 2011, Copy number aberrations in benign serous ovarian tumors: a case for reclassification?, Clin Cancer Res, 17, 7273, 10.1158/1078-0432.CCR-11-2080 · DOI
- M Kobel, 2010, Tumor type and substage predict survival in stage I and II ovarian carcinoma: insights and implications, Gynecol Oncol, 116, 50, 10.1016/j.ygyno.2009.09.029 · DOI
- M Kobel, 2010, Differences in tumor type in low-stage versus high-stage ovarian carcinomas, Int J Gynecol Pathol, 29, 203, 10.1097/PGP.0b013e3181c042b6 · DOI · Paper page
- M Kobel, 2010, Diagnosis of ovarian carcinoma cell type is highly reproducible: a transcanadian study, Am J Surg Pathol, 34, 984, 10.1097/PAS.0b013e3181e1a3bb · DOI
- CB Gilks, 2008, Tumor cell type can be reproducibly diagnosed and is of independent prognostic significance in patients with maximally debulked ovarian carcinoma, Hum Pathol, 39, 1239, 10.1016/j.humpath.2008.01.003 · DOI · Paper page
- IG Campbell, 2001, Endometriosis: candidate genes, Hum Reprod Update, 7, 15, 10.1093/humupd/7.1.15 · DOI
- JD Seidman, 2008, Exploring the histogenesis of ovarian mucinous and transitional cell (Brenner) neoplasms and their relationship with Walthard cell nests: a study of 120 tumors, Arch Pathol Lab Med, 132, 1753, 10.5858/132.11.1753 · DOI · Paper page
- CP Crum, 2009, Intercepting pelvic cancer in the distal fallopian tube: theories and realities, Mol Oncol, 3, 165, 10.1016/j.molonc.2009.01.004 · DOI · Paper page
- AA Ahmed, 2010, Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary, J Pathol, 221, 49, 10.1002/path.2696 · DOI · Paper page
- PA Shaw, 2002, Histopathologic features of genetically determined ovarian cancer, Int J Gynecol Pathol, 21, 407, 10.1097/00004347-200210000-00011 · DOI
- McBride DJ, Etemadmoghadam D, Cooke SL, Alsop K, George J, <etal>et al</etal>.. (2012) Tandem duplication of chromosomal segments is common in ovarian and breast cancer genomes. J Pathol. · DOI
- LR Duska, 2010, When ‘never-events’ occur despite adherence to clinical guidelines: the case of venous thromboembolism in clear cell cancer of the ovary compared with other epithelial histologic subtypes, Gynecol Oncol, 116, 374, 10.1016/j.ygyno.2009.10.069 · DOI
- HJ Mackay, 2010, Prognostic relevance of uncommon ovarian histology in women with stage III/IV epithelial ovarian cancer, Int J Gynecol Cancer, 20, 945, 10.1111/IGC.0b013e3181dd0110 · DOI · Paper page
- DJ Storey, 2008, Endometrioid epithelial ovarian cancer: 20 years of prospectively collected data from a single center, Cancer, 112, 2211, 10.1002/cncr.23438 · DOI
- KM Schmeler, 2008, Neoadjuvant chemotherapy for low-grade serous carcinoma of the ovary or peritoneum, Gynecol Oncol, 108, 510, 10.1016/j.ygyno.2007.11.013 · DOI · Paper page
- R Vang, 2009, Ovarian low-grade and high-grade serous carcinoma: pathogenesis, clinicopathologic and molecular biologic features, and diagnostic problems, Advances in anatomic pathology, 16, 267, 10.1097/PAP.0b013e3181b4fffa · DOI · Paper page
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“Comparison of our results with the two earlier studies [31,57] shows similar prediction for HGS and some discrepancies for the non-serous cell lines.”
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Metadata
- Authors
- Anglesio, M. S., Wiegand, K. C., Melnyk, N., Chow, C., Salamanca, C., Prentice, L. M., Senz, J., Yang, W., Spillman, M. A., Cochrane, D. R., Shumansky, K., Shah, S. P., Kalloger, S. E., & Huntsman, D. G.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-09-04
- Volume
- 8
- Issue
- 9
- Pages
- e72162
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2025669441
- Cited by
- 253
- References
- 4
- FWCI
- 23.70
- Type
- journal article
- Language
- en
- Update notices
- Open access
- gold
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