| Literature DB >> 26380555 |
Alexander S Bobbs1, Jennifer M Cole1, Karen D Cowden Dahl2.
Abstract
Ovarian cancer (OC) is the leading cause of death from a gynecological malignancy in the United States. By the time a woman is diagnosed with OC, the tumor has usually metastasized. Mouse models that are used to recapitulate different aspects of human OC have been evolving for nearly 40 years. Xenograft studies in immunocompromised and immunocompetent mice have enhanced our knowledge of metastasis and immune cell involvement in cancer. Patient-derived xenografts (PDXs) can accurately reflect metastasis, response to therapy, and diverse genetics found in patients. Additionally, multiple genetically engineered mouse models have increased our understanding of possible tissues of origin for OC and what role individual mutations play in establishing ovarian tumors. Many of these models are used to test novel therapeutics. As no single model perfectly copies the human disease, we can use a variety of OC animal models in hypothesis testing that will lead to novel treatment options. The goal of this review is to provide an overview of the utility of different mouse models in the study of OC and their suitability for cancer research.Entities:
Keywords: Adeno-Cre; genetically engineered mouse models; high-grade serous ovarian cancer; ovarian cancer; patient-derived xenograft; xenograft
Year: 2015 PMID: 26380555 PMCID: PMC4558890 DOI: 10.4137/CGM.S21221
Source DB: PubMed Journal: Cancer Growth Metastasis ISSN: 1179-0644
Figure 1Two-photon microscopy image of SKOV3IP tumor expressing green fluorescent protein (GFP). SKOV3IP labeled with GFP were injected SC into nude mice. After one week, two-photon microscopy was conducted to image tumor cells (green), collagen (blue), and vasculature (red). Therefore, imaging subcutaneous tumor can provide information about how genetic variation affects tumor microenvironment.
Figure 2Tumor cells can be genetically manipulated in culture, and then implanted in mice to form a tumor. Growth of the tumor can be measured as well as response to chemotherapy. Genetic models of cancer have increased our understanding of how OC originates and what mutations or combinations of mutations may lead to tumor establishment by disruption of tumor suppressor genes, introduction of oncogenes, and tumor origin manipulations. These provide valuable information on metastasis and highlight potential therapeutic targets.
Summary of GEMMs.
| REFERENCE | TRANSFORMING GENES | METHOD OF INDUCTION | TISSUE ORIGIN | HISTOLOGY |
|---|---|---|---|---|
| Flesken-Nikitin et al | Injected Cre adenovirus-induced knockout | Ovary | Serous epithelial ovarian cancer | |
| Szbova et al | SV40 T antigen expression, Injected Cre adenovirus-induced knockout | Ovary | Serous epithelial ovarian cancer | |
| Orulic et al | Syngeneic cells transduced with RCAS viral vectors injected into p53-null mice | Ovary | Undifferentiated carcinoma | |
| Connolly et al | Chimeric expression of SV40A under MISIIR promoter | Ovary | Poorly-differentiated neoplasia | |
| Xing et al | Syngeneic cells transduced with RCAS viral vectors, Cre-induced knockout | Ovary | Serous epithelial ovarian cancer | |
| Perets et al | Cre-recombinase driven by Pax8 promoter | Fallopian tube | Serous tubal intraepithelial carcinomas | |
| Sherman-Baust et al | Expression of SV40A under Ovp-1 promoter | Fallopian tube | Serous tubal intraepithelial carcinomas | |
| Tirodkar et al | Injected Cre adenovirus-induced knockout | Ovary, oviduct, and uterus | Endometrioid adenocarcinoma | |
| Wu et al | Injected Cre adenovirus-induced knockout | Uterus | Endometrioid adenocarcinoma |
Ovarian mouse model systems.
| MODEL TYPE | ADVANTAGES | DISADVANTAGES |
|---|---|---|
| Xenograft | Effective at measuring tumor growth in response to mutations or exogenous gene expression. They allow for validation of therapies and studies of drug resistance. Xenografts also can faithfully recapitulate aspects of ovarian tumor progression and metastasis. | Does not recapitulate the initial transforming events leading to tumorigenesis. Many xenograft mouse models are conducted using immunocompromised mice, which will lack the contribution of the full complement of immune cells to the tumor growth process. |
| Subcutaneous xenografts | It is well suited for investigating imaging modalities such as 2-photon microscopy. | It is not well suited for ovarian metastasis studies as the tumors do not typically metastasize and the tumor is not positioned in the right anatomic location or microenvironment. |
| Intraperitoneal xenografts | Can mimic aspects of tumor metastasis, particularly metastatic dissemination; IP injected tumor cells, such as SKOV3IP cells, metastasize to the ovary, peritoneal wall, diaphragm, and form ascites fluid similarly to human disease. Tumor growth can be monitored using | Tumor initiation and initial tranforming events cannot be studied. Cannot image |
| Intrabursal xenografts | IB injection mimics the initial steps in metastasis, as the tumor cells exit the bursa to spread throughout the peritoneal cavity. | Tumor initiation and initial tranforming events cannot be studied. Cannot image |
| Patient Derived Xenografts | Tumors from diverse genetic backgrounds can be grafted, and the tumor growth can be monitored. PDXs recapitulate aspects of OC like metastasis and ascites formation. PDX models have the ability to investigate the response of the tumors to therapeutic agents and could predict patient response to drug therapy. | PDXs have variable take rate and access to patient samples is a limitation for many investigators. |
| Syngeneic xenografts | The experimental design more accurately reflects the response of the immune system during tumor progression than immunocompromised models. | The cells are of murine origin, and thus may not resemble human cancer as well as models using human cells. |
| Genetically engineered mouse models | GEMMS are especially important for studying the beginning stages of ovarian cancer that cannot be mimicked in xenografts. Different genetically engineered mouse models allow us to compare evaluate how OC tumors arising from mutations at different anatomic locations compare to human disease. | OC genetic models have been more complicated to generate, partially due to the lack of understanding of OC biology and the heterogeneity of ovarian cancer. Infertility resulting from ovarian tumors has also hampered generation of transgenic models of ovarian cancer. |
Note: This is an overview of the different mouse models used in the study of OC, summarizing advantages and disadvantages of each.