| Literature DB >> 24377084 |
Panagiotis A Konstantinopoulos1, Ursula A Matulonis1.
Abstract
Epithelial ovarian cancer (EOC) is the most lethal gynecologic malignancy and the fifth most common cause of female cancer death in the United States. Although important advances in surgical and chemotherapeutic strategies over the last three decades have significantly improved the median survival of EOC patients, the plateau of the survival curve has not changed appreciably. Given that EOC is a genetically and biologically heterogeneous disease, identification of specific molecular abnormalities that can be targeted in each individual ovarian cancer on the basis of predictive biomarkers promises to be an effective strategy to improve outcome in this disease. However, for this promise to materialize, appropriate preclinical experimental platforms that recapitulate the complexity of these neoplasms and reliably predict antitumor activity in the clinic are critically important. In this review, we will present the current status and evolution of preclinical models of EOC, including cell lines, immortalized normal cells, xenograft models, patient-derived xenografts, and animal models, and will discuss their potential for oncology drug development.Entities:
Keywords: cell lines; epithelial ovarian cancer; high-grade serous; mouse models; patient-derived xenografts; personalized therapy; preclinical models; xenografts
Year: 2013 PMID: 24377084 PMCID: PMC3858677 DOI: 10.3389/fonc.2013.00296
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Molecular and clinical characteristics of EOC subtypes.
| Histology | Type | Molecular characteristics | Clinical characteristics |
|---|---|---|---|
| Low grade serous carcinoma | I | KRAS, BRAF mutations | Frequently arise from serous cystadenoma-borderline sequence |
| Relatively indolent growth | |||
| Poor response to platinum based chemotherapy | |||
| Low grade endometrioid carcinoma | I | CTNNB1, PTEN, PIK3CA, and KRAS mutations | Frequently arise from endometriosis |
| Microsatellite instability | Relatively indolent growth | ||
| Association with HNPCC | |||
| Poor response to platinum based chemotherapy | |||
| Clear cell carcinoma | I | PIK3CA, ARID1A mutations | May arise from endometriosis |
| MET amplification | Association with HNPCC | ||
| Worse prognosis and response to platinum based chemotherapy | |||
| Mucinous carcinoma | I | KRAS mutations | May arise from cystadenoma-borderline sequence |
| HER2 amplification | |||
| High-grade serous and high-grade endometrioid carcinoma | II | P53 mutations (almost universal), BRCA1, BRCA2 mutations | May arise from fallopian tube intraepithelial carcinoma (TIC)Association with HBOC |
| Genomic instability and very high degree of somatic copy number alterations | |||
| Rapid growth | |||
| Very good response to platinum based chemotherapy |
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Advantages and disadvantages of PDX models.
| Advantages | Disadvantages |
|---|---|
| Unlike cell lines, PDXs do not undergo evolutionary selection pressure from | Immunocompromised mice cannot adequately capture the intact human immune component of primary tumors and thus may not recapitulate the complex cross talk between tumor cells and the human immune system |
| PDXs maintain the characteristics and heterogeneity of the original tumor i.e., histology, mutational status, DNA copy number changes and gene expression | Human stroma is eventually replaced by murine stroma thereby limiting the ability to recapitulate tumor-stroma interactions in late passages PDXs |
| PDXs maintain their molecular similarity with the primary tumors during sequential passage | Orthotopic implantation is technically challenging |
| PDXs include a component of the primary tumor’s stroma including microvasculature, stem cells, and memory T cells, although it is unclear for how long this is maintained | Expensive to establish and maintain PDX banks thus requiring significant funding resources or institutional support |
| PDXs offer the opportunity to evaluate tumors from metastatic sites or tumors that have developed resistance to multiple treatments | Establishment of PDX banks requires prompt processing of primary tumor and significant coordination between departments |
| Studies have shown very good correlation between response in PDX models and clinical response in patients | Possible regulatory challenges i.e., IRB approval and HIPPA and intellectual property issues |
Preclinical evaluation of selected experimental agents used against EOC.
| Agents | Preclinical models | Reference | Comments |
|---|---|---|---|
| Antiangiogenic agents e.g., bevacizumab | NIH:OVCAR-3 and other cell line xenografts were used for preclinical evaluation of antiangiogenic agents as single agents and in combination with other cytotoxics e.g., paclitaxel | ( | Clinical evaluation of antiangiogenic agents as single agents and in combination in phase II and phase III trials in ovarian cancer confirmed the preclinical observations ( |
| PARP inhibitors (PARPis) e.g., olaparib | Proof of principle in BRCA-deficient cell lines (embryonic stem cells and Chinese hamster cells) and xenografts from these cell lines | ( | Clinical evaluation of PARP inhibitors in patients with BRCA-associated tumors confirmed the preclinical observations in breast and ovarian cancers ( |
| ( | PARPis are currently in phase III clinical trials | ||
| Anti-CA125 antibodies e.g., oregovomab, abagovomab | Xenografts with the CA125 positive NIH:OVCAR-3 cell line were used for preclinical evaluation of these agents | ( | No PFS or OS benefit was detected in large randomized phase III trials for either oregovomab and abagovomab ( |
| Anti-HER-2 agents e.g., trastuzumab, pertuzumab | NIH:OVCAR-3, SKOV3, and OVCA433 cell lines and associated xenografts were used for preclinical evaluation of anti-HER-2 drugs as single agents | ( | Limited single agent activity of trastuzumab and pertuzumab in ovarian cancer ( |
| Improved PFS with pertuzumab and gemcitabine in platinum resistant ovarian cancer ( |