| Literature DB >> 24748377 |
Ludmila Szabova1, Sujata Bupp1, Muhaymin Kamal1, Deborah B Householder1, Lidia Hernandez2, Jerome J Schlomer1, Maureen L Baran1, Ming Yi3, Robert M Stephens3, Christina M Annunziata2, Philip L Martin1, Terry A Van Dyke4, Zoe Weaver Ohler1, Simone Difilippantonio1.
Abstract
The high mortality rate from ovarian cancers can be attributed to late-stage diagnosis and lack of effective treatment. Despite enormous effort to develop better targeted therapies, platinum-based chemotherapy still remains the standard of care for ovarian cancer patients, and resistance occurs at a high rate. One of the rate limiting factors for translation of new drug discoveries into clinical treatments has been the lack of suitable preclinical cancer models with high predictive value. We previously generated genetically engineered mouse (GEM) models based on perturbation of Tp53 and Rb with or without Brca1 or Brca2 that develop serous epithelial ovarian cancer (SEOC) closely resembling the human disease on histologic and molecular levels. Here, we describe an adaptation of these GEM models to orthotopic allografts that uniformly develop tumors with short latency and are ideally suited for routine preclinical studies. Ovarian tumors deficient in Brca1 respond to treatment with cisplatin and olaparib, a PARP inhibitor, whereas Brca1-wild type tumors are non-responsive to treatment, recapitulating the relative sensitivities observed in patients. These mouse models provide the opportunity for evaluation of effective therapeutics, including prediction of differential responses in Brca1-wild type and Brca1-deficient tumors and development of relevant biomarkers.Entities:
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Year: 2014 PMID: 24748377 PMCID: PMC3991711 DOI: 10.1371/journal.pone.0095649
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Development and characterization of orthotopic models for SEOC.
A, Allograft models of SEOC were generated by transplantation of an ovarian tumor fragments from the de novo models of SEOC under the bursae of syngeneic immunocompetent mice. Primary ovarian carcinoma cell lines were generated simultaneously. The latency for tumor development in orthotopic models shortened substantially compared to the latency of the de novo model. B, H&E of primary tumors (PT) and corresponding passage 1 (p1) tumors from 4 different tumor lines indicating SEOC histology in PT and derived orthotopic tumor transplants. Scale bar represents 100 µm. C, Principal component analysis of normal ovarian surface epithelium, primary ovarian tumors and different passages of derived orthotopic tumors. D, Cluster analysis of merged human and mouse data using classifier gene sets showed that passaged tumors, similarly to primary tumors, represented all 4 subgroups of human SEOC originally derived from TCGA study [5].
Summary of orthotopic syngeneic tumor transplants.
| Primary | P1 | P2 | ||||||
| Line | Genotype | Latency | Take rate (N) | Average latency | Histology (inter-tumor) | Take rate (N) | Average latency | Histology (inter-tumor) |
|
| TgK18GT121 tg/+/ Brca1Δ/Δ/p53Δ/Δ | 7.3 | 100% (5/5) | 2.7 | 80% SEOC, poorly differentiated papillary; 20% SEOC, papillary | 100% (5/5) | 2.4 | 60% SEOC, poorly differentiated papillary; 40% undifferentiated carcinoma |
|
| TgK18GT121 tg/+/ Brca1Δ/Δ/p53Δ/Δ | 8.7 | 100% (6/6) | 3.2 | 100% SEOC, papillary | 87% (13/15) | 2.2 | 77% SEOC, papillary; 23% SEOC, poorly differentiated papillary |
|
| TgK18GT121 tg/+/ Brca1Δ/Δ/p53Δ/Δ | 11.1 | 60% (3/5) | 3.4 | 100% SEOC, poorly differentiated papillary | 90% (9/10) | 1.4 | 67% undifferentiated carcinoma; 22% SEOC, poorly differentiated papillary; 11% SEOC, papillary |
|
| TgK18GT121 tg/+/ Brca1Δ/Δ/p53Δ/Δ | 8.4 | 100% (4/4) | 3.2 | 100% SEOC, papillary | 100% (5/5) | 1.4 | 100% SEOC, papillary |
|
| TgK18GT121 tg/+/ Brca1Δ/Δ/p53Δ/Δ | 9.6 | 100% (5/5) | 3.2 | 80% SEOC, papillary; 20% SEOC, poorly differentiated papillary | 100% (23/23) | 1.5 | 70% SEOC, papillary; 30% SEOC, poorly differentiated papillary |
|
| TgK18GT121 tg/+/ Brca1Δ/Δ/p53Δ/Δ | 9.8 | 100% (5/5) | 1.6 | 60% SEOC, poorly differentiated papillary; 40% undifferentiated carcinoma | 100% (9/9) | 1.5 | 100% undifferentiated carcinoma |
|
| TgK18GT121 tg/+/ Brca1Δ/Δ/p53Δ/Δ | 9.8 | 100% (5/5) | 2.4 | 100% SEOC, papillary | 100% (13/13) | 1.8 | 92% SEOC, papillary; 8% SEOC, poorly differentiated papillary |
|
| TgK18GT121 tg/+/ Brca1Δ/Δ/p53Δ/Δ | 8.6 | 100% (4/4) | 2.60 | 75% SEOC, papillary; 25% SEOC, poorly differentiated papillary | 100% (5/5) | 1.9 | 100% SEOC, papillary |
|
| TgK18GT121 tg/+ /Brca1Δ/Δ/p53R172H/Δ | 10.6 | 50% (2/4) | 5.4 | 100% SEOC, papillary | 54% (7/13) | 1.9–5.6 | 71% SEOC, papillary; 29% SEOC, poorly differentiated papillary |
|
| TgK18GT121 tg/+/ Brca2Δ/Δ/p53R172H/Δ | 9.4 | 20% (1/5) | 5.9 | 100% SEOC, papillary | 0% (0/4) | N/A | N/A |
|
| TgK18GT121 tg/+/ Brca2Δ/Δ/p53R172H/Δ | 8.9 | 100% nudes (5/5)0% FVB (0/5) | 2.8 nudes | 60% SEOC, papillary; 20% SEOC, poorly differentiated papillary; 20% undifferentiated carcinoma | 100% nudes (5/5) 20% FVB (1/18) | 3.2 nudes 3.5 FVB | FVB: 100% SEOC, poorly differentiated papillary; NUDES: 60% SEOC, papillary; 40% SEOC, poorly differentiated papillary |
|
| TgK18GT121 tg/+/ p53Δ/Δ | 11.7 | 60% (3/5) | 4 | 33% SEOC, papillary; 33% SEOC, poorly differentiated; 33% no diagnosis available | 93% (13/14) | 2.2 | 54% SEOC, papillary; 38% SEOC, poorly differentiated papillary; 8% undifferentiated carcinoma |
|
| TgK18GT121 tg/+/ p53Δ/Δ | 10.9 | 50% (2/4) | 3.6 | 66% SEOC, papillary; 33% no diagnosis available | 80% (4/5) | 3.2 | 25% no diagnosis; 75% SEOC, papillary |
|
| TgK18GT121 tg/+/ p53Δ/Δ | 10.3 | 50% (2/4) | 3.95 | 50% undifferentiated carcinoma; 50% SEOC, poorly differentiated papillary | 60% (3/5) | 3 | 66% undifferentiated carcinoma; 33% SEOC, poorly differentiated papillary |
|
| TgK18GT121 tg/+/ p53Δ/Δ | 11 | 80% (4/5) | 3.1 | 100% SEOC, papillary | 100% (4/4) | 2.8 | 100% SEOC, papillary |
|
| TgK18GT121 tg/+/ p53Δ/Δ | 11.9 | 80% (4/5) | 3.7 | 50% undifferentiated carcinoma; 25% SEOC, papillary; 25% SEOC, poorly differentiated papillary | 70% (7/10) | 2.3 | 57% SEOC, poorly differentiated papillary; 29% SEOC, papillary; 14% undifferentiated carcinoma |
|
| TgK18GT121 tg/+/ p53Δ/Δ | 11.2 | 67% (2/3) | 3.5 | 100% SEOC, papillary | N/A | N/A | N/A |
*latency of tumor development from induction or transplantation till end point.
TgK18G transgenic for bacterial artificial chromosome containing the mouse cytokeratin 18 gene, into which a Cre-conditional loxP-GFP-stop-loxP T121 cassette was inserted.
Brca1 deletion mutant for Brca1 gene.
Brca2 deletion mutant for Brca2 gene.
p53 = deletion mutant for p53 gene.
p53 = point mutation and deletion mutant for p53 gene.
Figure 2In vitro sensitivity of human and mouse ovarian epithelial carcinoma cells to anti-cancer treatment.
Human (A, B) and murine (C–H) ovarian cancer cells were exposed to cisplatin, olaparib or vehicle for 7 days after which cell viability was measured using XTT reagent. Proportional viability was calculated by comparing the drugs with vehicle controls whose viability was assumed to be 100%. C. Panel of murine cell lines was selected based on Brca1 status containing Brca1-deficient (striped bar) and –wild type lines (filled bars) maintaining similar Brca1 expression as their tumors of origin (D). IC50 values for individual cancer cell lines are shown in the legends (A, B, E, G, parenthesis behind the cell line designation). Comparison of the IC50 for cisplatin (F) and olaparib (H) in wild type (TgK18G; R5810T, R5838T) and mutant (TgK18G; 39647T, 60577T, 60580T, 82394T) murine cell lines shows significant difference between the genotypes (T-test, 333.7±54.1 vs 146.0±8.2, p<0.01 and 18.2±1.4 vs 10.4±1.2, p<0.05, respectively for drugs). The average and standard error is shown.
Figure 3Quantification of tumor progression in orthotopic SEOC models and treatment with cisplatin and/or olaparib.
A, Schematics of dosing regimen and imaging in efficacy studies. B, Inhibition of PAR formation in tumor lysates treated with olaparib for 2(C). The average and standard error is shown. D, Representative MR images before and after 2 weeks of treatment with vehicle, olaparib, cisplatin or combination of olaparib and cisplatin are shown. Scale bar represents 1 cm. White arrows point to the tumors, green arrows point to contralateral ovaries. MRI based quantification of tumor volume changes expressed as RTV following 2 week (E) and 3 week (F) treatment regimen. Statistical differences between groups were analyzed by one-way ANOVA and Tukey's multiple comparisons test. Each point represents one animal. V; vehicle, O; olaparib, C; cisplatin, O+C; olaparib and cisplatin.
Figure 4Assessment of histopathological changes induced by drug treatment in Brca1-wild type and -deficient tumor lines.
A, An example of histology and IHC of TgK18G tumors treated with cisplatin and/or olaparib (a–l). Tumor line 39877 was sensitive to drug treatment, which resulted in decreased proliferation (Ki67) (A e–h) and increased DNA damage (γ-H2AX) (A i–l). Olaparib treatment resulted in increased nuclear size and pleiomorphism (A, b, f, j) as well as decreased degree of papillary differentiation. Note the marked increase in tumor multinucleated giant cells in the cisplatin (A, c, g, k) and combination treated (A, d, h, l). Scale bar represents 100 µm. Quantitative analysis of Ki67 (B), and γH2AX (C) in 3 different tumor lines. Proliferation rate is expressed as the percentage of Ki67 positive nuclei (brown-DAB) to the total number of nuclei in the tumor section (brown-DAB + blue-hematoxylin counter-stained negative nuclei). γH2AX is expressed as the percentage of total nuclear area (blue-hematoxylin counter-stain) to the total area positive for γH2AX (brown-DAB). Statistical differences between groups were analyzed by one-way ANOVA and Tukey's multiple comparisons test. Each point represents one animal. V; vehicle, O; olaparib, C; cisplatin, O+C; olaparib and cisplatin.
Figure 5Effect of long term treatment on mouse survival.
A, RTV measurements in survival study comparing the effect of different treatments on tumor development. RTV compares tumor volume at any given time point to the baseline (pre-dosing) tumor volume. Each point represents an individual animal. B, Kaplan-Mayer graph of mouse survival after long term treatment. Dashed line represents cessation of treatment at Day 68. Three out of 12 mice treated with combination therapy died early in the study and although they presented with small ovarian tumors they did not succumb to metastatic SEOC. Histopathological signs of mild nephrosis as a result of cytotoxicity have been observed in their tissues [V; vehicle (n = 10), O; olaparib (n = 12), C; cisplatin (n = 10), O+C; olaparib and cisplatin (n = 12)]. C, effect of second round of platinum or combination treatment following the tumor relapses in mice. Tumor volumes were determined by US imaging. Dashed line represents end of first round of treatment, dotted lines represent start of the second round of treatment (two different start dates for 2 different mouse groups).