Current status and evolution of preclinical drug development models of epithelial ovarian cancer
Panagiotis A. Konstantinopoulos and Ursula A. Matulonis
Department of Medical Oncology, Medical Gynecologic Oncology Program, Dana Farber Cancer Institute, Harvard Medical School
Keywords
Epithelial ovarian cancer, high grade serous, preclinical models, personalized therapy, cell lines, xenografts, mouse models, patient derived xenografts
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.
I. Introduction
Epithelial ovarian cancer (EOC) is the most lethal gynecologic malignancy and the fifth most common cause of female cancer death in the United States [1]. Advanced stage at diagnosis for most women with this cancer and emergence of resistance to conventional chemotherapy are primarily responsible for this dire outcome. Although important advances in surgical and chemotherapeutic strategies over the last three decades have significantly improved the quality of life and median survival of EOC patients, the overall cure rate has not improved appreciably. [2-5]. EOC is a genetically and biologically heterogeneous disease and is traditionally divided into two types (types I and II) with distinct genotypic and phenotypic characteristics which are summarized in Table 1 [6-8]. Type I tumors frequently harbor somatic mutations in KRAS, BRAF, PIK3CA, PTEN, CTNNB1 and ARID1A genes, and exhibit low genomic instability without genome-wide copy number changes[9] while type II tumors are characterized by high degree of genomic instability with high frequency of DNA copy number changes and p53 mutations[6, 7, 10].
High grade serous carcinomas (HGSCs) represent the most common type II histologic subtype and account for approximately 70% of all EOCs. These tumors exhibit histological features that are identical to those of primary peritoneal and fallopian tube serous cancers and are treated similarly to these neoplasms. A number of molecular studies and most recently The Cancer Genome Atlas (TCGA) project have shown that HGSCs are characterized by frequent genetic and epigenetic alterations in gene
members of the homologous recombination (HR) DNA repair pathway, including the BRCA1 and BRCA2 genes[10]. Furthermore, the NOTCH, FOXM1 and the RB and PI3K/RAS signaling pathways have also been implicated in the pathogenesis of HGSCs[10]. These important advances in our understanding of the molecular pathogenesis and heterogeneity of EOC hold promise for the development of novel therapies against these tumors. 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 discuss the current status and evolution of preclinical models of EOC focusing on their potential for oncology drug development.
II. Cell Lines
Historically, ovarian cancer cell lines have been the most frequently used tumor models to prescreen experimental anticancer agents in vitro and to select specific histologic subtypes of EOC for further exploration of these agents. These cell lines have undergone a high degree of evolutionary selection pressure in vitro as they have been in passage for several years (or even decades in some cases). As a result, their genomic profiles have been irreversibly altered and rarely recapitulate the genetic and pathologic characteristics of the parental cells[11 -13]. Furthermore, cancer cell lines lack the molecular heterogeneity of the parental tumor and are molecularly skewed towards affinity to grow in monolayers.
In a recently published study, Domcke and colleagues used available molecular profiles (copy-number changes, mutations and mRNA expression profiles) of cell lines from the Cancer Cell Line Encyclopedia (CCLE) and of tumor samples from the TCGA to evaluate the suitability of 47 EOC cell lines as in vitro models of HGSCs[14]. The investigators showed significant differences in the molecular profiles between commonly used EOC cell lines and HGSC samples and reported that the presumed histologic subtype for several of these cell lines did not correspond to their molecular profiles. Of note, the two most frequently used cell lines, SKOV3 and A2780 were deemed unsuitable as HGSC models, while other rarely used cell lines such as KURAMOCHI, OVSAHO and SNU119 closely resembled the molecular profiles of HGSC samples. Interestingly, the suitability of these cell lines as HGSC models did not correlate with time of their derivation suggesting that number of passages may not correlate with model suitability. Among the cell lines deemed most suitable to use as HGSC models, 3 cell lines harbored BRCA mutations i.e. KURAMACHI (BRCA2), COV362 (BRCA1) and JHOS2 (BRCA1) and therefore may be useful as in vitro models for BRCA-associated EOC.
This study may provide molecular explanation for the challenges of translating preclinical observations from ovarian cancer cell lines into the clinic, a problem that is not unique to ovarian cancer but transcends multiple tumor types [14, 15]. However, this study also highlights that certain EOC lines may still hold value as HGSCs models and underscores the importance of evaluating and screening them to confirm their origin and molecular resemblance with HGSC. This is now feasible given the increasing availability of large scale genomic data from studies such as the TCGA, the CCLE and
the Sanger Cancer Cell Line project [10, 16]. Cell line models whose molecular identity has been confirmed using targeted sequencing and copy number profiling may be extremely valuable as preclinical models, particularly those with well defined molecular alterations such as BRCA1/2 or PI3K mutations in order to assess the potential of experimental drugs in patient populations with specific molecular alterations. In this regard, the promise of PARP-inhibitors in the management of BRCA-deficient EOC was first realized in BRCA1/2 deficient cell lines [17, 18]. In the era of advanced molecular profiling, using cell lines with molecular similarities with patient samples may increase the possibility that in vitro observations will be eventually translatable to the clinic.
III. Immortalized normal cells and Stem cells
Several investigators have reported isolation, in vitro propagation and immortalization of human ovarian surface epithelial (OSE) and fallopian tube epithelial (FTE) cells which are considered the cells of origin of ovarian carcinomas. Retroviral transduction of either the human papilloma virus E6/E7 oncogenes or the simian virus 40 T-Antigen (SV40-TAg) in human OSE cells leads to increased and sustained proliferation even after multiple passages but does not induce transformation [19, 20]. For immortalization to occur, additional retroviral constructs targeting TP53, hTERT or RB are required [21, 22]. Besides retroviral transduction, RNA interference technology has been successful in immortalizing human OSE cells as exemplified by the work of Yang and colleagues who successfully immortalized OSE cells via siRNA knockdown of p53 and Rb [23, 24].
As with human OSE cells, Karst and colleagues immortalized normal human FTE cells via retroviral transduction of hTERT and either of SV40-TAg or an shRNA targeting p53 and mutant CDK4R24C, while transformation occurred via further ectopic expression of either MYC or HRAS oncogenes[25]. When injected in immunocompromised mice, these cells developed tumors resembling HGSCs both histologically and clinically. Shan and colleagues used a similar approach of hTERT and SV40-TAg overexpression for immortalization and of additional ectopic HRAS expression for transformation of human FTE cells while similar results have been reported by Jazaeri and colleagues[26, 27].
Although presence of ovarian cancer stem cells has been reported, definite characterization of these cells is still lacking[28]. Furthermore, the stem cell niche of the OSE which regenerates after each ovulation has not been determined. There have been several reports of ovarian cancer stem cells isolation which have been based on markers and protocols used to define stem cells in other tumors including leukemia, colon and breast cancers[29-31]. In a seminal study, Flesken-Nikitin and colleagues proposed that the hilum region of the mouse ovary is a stem cell niche of the OSE [32]. Specifically, the investigators showed that hilum cells express stem cell markers ALDH1, LGR5, LEF1, CD133 and CK6B, display long-term stem cell properties ex vivo and in vivo and exhibit increased transformation potential after inactivation of TP53 and RB1.
IV. Xenografts
Xenograft models have been extensively used in ovarian cancer research and are still very important experimental platforms for preclinical drug development [33-36]. These models require use of immunodeficient mice strains, i.e. athymic nude mice lacking T lymphocytes, severe combined immunodeficient (SCID) mice which lack functional B and T lymphocytes, or the NOD/SCID/IL2RYnuN mice which also exhibit inactive innate immunity due to abrogation of maturation of natural killer (NK) T cells[37]. The requirement of immunodeficiency has often been cited as one of the main reasons why xenografts have shown limited predictive value in the clinic [38, 39]. Specifically, tumor xenografts in immunocompromised mice cannot recapitulate either the contributions of immune factors on tumor development and progression or the extensive interactions of the human host tumor microenvironment (stroma, extracellular matrix and vasculature) with the tumor cells.
Traditionally, xenograft models rely on implantation of established EOC cell lines subcutaneously, intraperitoneally or orthotopically. Subcutaneous implantation offers the advantage of easy quantification of tumor volume which is ideal for assessing antitumor efficacy of experimental agents, but rarely results in ascites formation or intraperitoneal seeding of the tumor, and thereby fails to reflect the clinical course of human EOC. Conversely, intraperitoneal (IP) and orthotopic implantation (OI) frequently result in peritoneal carcinomatosis and development of malignant ascites. The most commonly used xenograft model in ovarian cancer was developed by IP injection of a subpopulation of the drug resistant cell line NIH:OVCAR-3 [40] (isolated by serial in vitro and in vivo selection of cells) into athymic mice which resulted in development of ascites and peritoneal carcinomatosis [33]. The NIH:OVCAR-3 cell line
has been molecularly ranked as possibly of HGSC origin on a rank of likely, possibly and unlikely, and this xenograft model is still widely used today [14]. The OVCAR-3 and other xenograft models have been used in the preclinical evaluation of antiangiogenic agents [41, 42]. Specifically, these models demonstrated the ability of a monoclonal antibody (mAb) to human vascular endothelial growth factor (VEGF) to prevent ascites formation and that combination therapy with inhibitors of VEGF plus paclitaxel exhibits synergistic reduction of tumor growth and ascites in ovarian cancer. These observations were subsequently confirmed in clinical trials of bevacizumab as single agent and in combination with paclitaxel in EOC [43-45].
OI involves injecting EOC cells into their natural position adjacent to the ovaries which in mice corresponds to the ovarian bursa, a thin membrane that encapsulates the ovaries[46]. OI is usually accomplished by direct injection within the ovarian bursa via the infundibulum [47, 48]. OI recapitulates initiation of EOC growth in the ovaries, does not require selection of EOC cell lines, and preserves tumor histology and the potential for peritoneal dissemination and ascites formation. Furthermore, several studies have indicated increased tumor take rates with OI thereby reflecting a more favorable microenvironment for tumor growth and metastatic dissemination [48, 49]. Unlike subcutaneous xenografts, orthotopic and IP xenografts pose a challenge for accurately quantifying tumor volume and monitoring disease progression thus making them less appealing as models for preclinical drug development. However, this challenge may be overcome by advances in non-invasive imaging of tumors in mice (magnetic resonance imaging (MRI), ultrasound (US), positron emission tomography (PET), computed tomography (CT), and single photon emission computed tomography (SPECT)) and/or
use of fluorescent or bioluminescent reporters with optical imaging (fluorescent imaging (FLI) or bioluminescent imaging (BLI)) and/or use of serum tumor biomarkers such as CA125 [50].
V. Patient-Derived Xenografts (PDXs)
Patient-derived xenografts (PDXs) represent an evolution of the cell-line xenograft model whereby fresh tumor tissue, obtained directly from patients, is implanted subcutaneously or orthotopically into immunodeficient mice [51, 52]. After a variable period of time, PDXs enter a logarithmic growth phase which allows for harvesting and reimplantation in successive mice generations with reported tumor engraftment rates higher than 75% [53-55]. The time to engraftment depends on the individual tumor, the site of implantation and the type of immunodeficient mice used (NOD/SCID/IL2RYnuN mice are associated with superior engraftment efficiency) and is generally between 2 to 4 months. PDXs have been successfully established from primary or metastatic tumors [56, 57], from untreated or heavily-pretreated tumors [58, 59] thereby potentially capturing chemotherapy-refractory tumor populations and permitting the study of molecular changes that occur at the time of development of resistance.
A growing body of literature suggests that PDXs hold significant promise as models for preclinical drug development because they closely resemble and recapitulate tumor growth in humans (Table 2). In a seminal study by Hidalgo and colleagues, the investigators treated PDXs from 14 patients with various advanced solid tumors with 63 drugs in 232 treatment regimens, and showed that there was an excellent correlation
between response in the PDX models and patient response to these regimens [60]. Of note, in some cases, the treatment administered to patients based on the PDX response was not the first choice of the oncologist treating these patients. This study highlights the potential of PDXs as experimental platforms for preclinical drug development. PDXs represent significant improvement over the standard cell-line xenografts because they maintain the principal characteristics of the original patients' tumors including histology, mutational status, DNA copy number changes, geneexpression patterns and clinical behavior while they remain biologically stable when passaged in mice. Specifically, genome wide expression analysis in non small cell lung cancer has demonstrated that PDXs exhibit similar gene expression profiles and maintain the key gene and pathway activity of the primary tumors [61]. Furthermore, mutational and expression analysis in pancreatic PDXs has shown that there is excellent concordance between primary tumors and PDX models [62]. Several studies have also shown that PDXs maintain their molecular similarity (histology, protein expression, tumor biomarkers, genomic and genetic status) with the primary tumors during sequential passage [63-65]. This molecular similarity is even higher when PDX models are generated using patient tumors that are immediately implanted into immunocompromised mice without an intermediate in vitro culture step [66, 67]. Another key feature of PDXs is the maintenance of the original tumor architecture and histopathological characteristics, including a component of human stroma as well as tumor microvasculature although there is a controversy over how long this is maintained. Specifically, in one study of pancreatic PDXs, vessels with human endothelial cells were maintained or even increased over time while in a similar study
with renal cell cancer PDXs, a decrease in human-derived tumor microvasculature was observed [68, 69]. Of note, maintenance of human tumor-associated leukocytes including memory T cells for up to 9 weeks after implantation has been reported in lung cancer PDXs implanted into NOD/SCID/IL2RYnuN mice. Furthermore, preservation of pluripotent CD133+ stem cells in PDXs following repeated orthotopic subtransplantations has been reported and in these studies the CD133+ cells continued to exhibit multi-lineage differentiation capacity in vitro [70-73]. PDXs (particularly early passage PDXs) may therefore be excellent preclinical platforms to study stromal-tumor interactions and cancer stem cell biology as well as to assess novel anticancer agents or drug combinations.
Several limitations of PDX's exist (Table 2). A major limitation of PDXs is the requirement to use immunodeficient mice which limits the number of drugs that can be evaluated (i.e. alternative models are necessary for immune-modulating agents)[74, 75]. Furthermore, severely immunocompromised mice cannot adequately capture the intact human immune component of the primary tumors and thus may not recapitulate the complex cross talk between tumor cells, stroma and the human immune system. One approach to circumvent this problem may be transplantation of human CD34+ cord blood cells enriched for human hematopoietic stem cells that may reconstitute a human innate and adaptive immune system in mice [76]. However, development of PDX models in mice with a reconstituted human immune system is technically challenging and would require that the xenografted tumors and the human immune cell component are HLA matched. Furthermore, the eventual replacement of human stroma by murine stroma is an important disadvantage of PDX models given the importance of tumor-
stroma interactions in mediating drug response and resistance. Therefore drugs that target the tumor stroma or microvasculature such as antiangiogenic agents may also require alternative models for evaluation. Murine models are also known to be imperfect models of drug metabolism and distribution in humans. For example, an overestimation of response may occur when drugs are tolerated at higher doses in mice while an underestimation may occur when mice are less tolerant to drugs compared to humans. There also several logistic challenges including financial and personnel resources that are necessary to establish and maintain PDX banks and the ability to freeze and reestablish tumors after months of storage. Compared to the inexpensive cell line experiments, the cost burden of PDX tumor models is substantial and will likely require significant institutional and national funding to support widespread use of PDXs as experimental models.
In EOC, Kolfschoten and colleagues have reported development of a panel of 15 human ovarian cancer xenografts (12 from fresh tumor derived from patients and 3 from EOC cell lines) grown subcutaneously in the flank of athymic nude mice[77]. They assessed the sensitivity of these xenografts to six commonly used anticancer agents and showed that their panel reflected the response rates known for similar drugs in ovarian cancer patients. This study, together with several analogous studies in other tumor types, suggests that PDXs may be used for drug screening in EOC. In our institution, in collaboration with the Belfer Institute of Applied Cancer Research we have embarked on building a platform of ovarian cancer PDXs. The goal of this project is to provide a resource for evaluating efficacy of experimental agents and to identify novel predictive and pharmacodynamic biomarkers. Ovarian cancer cells taken from
consented patients are implanted intraperitoneally into immunodeficient mice and these tumors grow and disseminate in the peritoneal cavity similar to human EOC (manuscript in progress, personal communication, Joyce Liu). In order to accurately quantify tumor growth and assess response to experimental therapies, ovarian cancer cells derived from the initial passages are tagged with luciferase and re-implanted into mice for noninvasive bioluminescent imaging. In addition, surrogate biomarkers such as CA125 are evaluated in each of the models to monitor response to therapy.
In the era of personalized medicine, patient-centric PDX models for tumor growth and assessment of drug efficacy may be a valuable resource for the preclinical development of experimental anticancer agents. However, as in the case of cell lines, periodic molecular assessment of these models examining the fidelity to the patients' original tumors in terms of genetics and histology, two factors that are major determinants of their eventual predictive ability.
VI. Animal Models
Spontaneous EOC models including the aging hen, the cynomolgus macaque and the rhesus macaque are rarely used in preclinical drug development due to their low incidence rates and long interval until cancer development [78-80]. However, because of its anatomic resemblance to humans, the cynomolgus macaque has been occasionally used to evaluate novel agents such as chimeric antibodies or antibody-cytotoxic conjugates [81, 82]. Similar to spontaneous EOC models, chemically or hormonally induced models of EOC are rarely used because their histopathological
features are not always predictable and their individual molecular alterations are not well defined [83]. Conversely, genetically engineered animal models may be promising platforms for preclinical drug development and will be reviewed below [48, 84].
a. Virus-Mediated Gene Delivery
The first successful mouse model of EOC using a retroviral gene delivery system was reported in 2002 by Orsulic and colleagues [85] who isolated ovarian surface epithelium (OSE) cells from transgenic mice which carried the avian tumor virus receptor A (TVA) under the transcriptional control of the b-actin or keratin 5. Using this TVA retroviral delivery system, they infected OSE cells from TVA;p53-/- mice with any combination of two or three of the c-MYC, KRAS and AKT oncogenes, and reimplanted them in the TVA;p53-/- mice resulting in rapid formation of tumors 8 weeks later. The resulting tumors exhibited poorly differentiated histology with areas of papillary structures resembling HGSCs. This model was subsequently used to assess sensitivity to molecular pathway inhibitors; for example tumors with AKT and c-MYC oncogenes or AKT and KRAS were sensitive to mTOR inhibitor rapamycin while tumors with all 3 oncogenes (KRAS, c-MYC and AKT) were resistant to rapamycin but sensitive to a combination of mTOR inhibitor and MEK inhibitor (i.e. rapamycin and PD98059). These experiments highlight how such models may be used to test the efficacy of molecular targeted agents in EOC. A similar experimental strategy was also employed for development of a BRCA1-associated EOC model whereby expression of c-MYC resulted in transformation of BRCA1 and p53 deficient murine OSEs[86]. When
implanted intraperitoneally in mice, these cells developed tumors with several characteristic of BRCA1-associated HGSCs, i.e. papillary architecture, peritoneal carcinomatosis, development of malignant ascites and enhanced sensitivity to cisplatin.
b. Transgenic Models
A transgenic EOC model was developed by Connolly and colleagues[87] by expressing the early region of SV40-TAg under the transcriptional control of MISRII (Mullerian Inhibitory Substance Receptor II). 50% of the transgenic founder mice developed very aggressive tumors (poorly differentiated carcinomas with rapid development of peritoneal carcinomatosis and ascites) but none of them were fertile. In a subsequent report[88], the same group reported a stable transgenic line from a male transgenic founder (TgMISRII-Tag-DR26) whereby all female offsprings developed bilateral EOCs resembling HGSCs. This is the first transgenic model of HGSC and it has been used for evaluation of experimental agents in clinical trials[89].
c. Conditional Models
Genetically engineered mouse models using conditional expression of tumor suppressor genes via Cre-recombinase-mediated excision of LoxP flanked sequences have been reported extensively in ovarian cancer literature. Given that there are currently no transgenic mice that express Cre-recombinase only in ovarian epithelial cells, localized delivery of recombinant adenovirus expressing Cre-recombinase in the
ovarian bursa of mice is required to achieve Cre-LoxP-mediated gene inactivation solely in the ovarian epithelium. Flesken-Nikitin and colleagues[90] first reported intrabursal administration of Ad-Cre for conditional inactivation of p53 and Rb in p53LoxP/LoxP;RbLoxP/LoxP mice which resulted in ovarian tumor formation in 97% of them (39% low grade serous, 45% poorly differentiated and 15% undifferentiated carcinomas). Peritoneal carcinomatosis and ascites were present in 27% and 24% of the cases respectively. Dinulescu and colleagues[91] developed the first model of endometrioid EOC by conditional expression of an activating KRAS mutation and inactivation of PTEN via intrabursal administration of Ad-Cre in LoxP-Stop-LoxP-KRASG12D/+;PTENLoxP/LoxP mice. Endometrioid EOCs developed in all mice as early as 7 weeks after injection and were associated with ascites, peritoneal carcinomatosis and lymph node involvement. Endometrioid EOCs also developed in PTENLoxP/LoxP;APCLoxP/LoxP mice after conditional inactivation of PTEN and APC using intrabursal injection with Ad-Cre[92]. These tumors had short latency, 100% penetrance and were associated with peritoneal carcinomatosis and ascites in 21% and 76% of the cases. Importantly, the gene expression profiles of these tumors closely resembled those of human endometrioid EOCs, particularly those with mutations in the Wnt/b-catenin and PI3K/PTEN pathways suggesting that these models may be promising preclinical experimental platforms for evaluation of novel anticancer agents for these tumors. Another conditional model was reported by Kinross and colleagues[93] whereby intrabursal administration of Ad-Cre for conditional activation of the PI3KCA-H1047R mutation and inactivation of PTEN resulted in ovarian serous adenocarcinomas and granulosa cell tumors.
Finally, a HGSC model was reported by Kim and colleagues[94] by conditionally deleting DICER, a key gene for microRNA synthesis, and PTEN using anti-Mullerian hormone receptor type 2-directed Cre (Amhr2-Cre). HGSCs developed from the fallopian tube in DICERLoxP/LoxP;PTENLoxP/LoxP;Amhr2cre/+ mice and spread to encapsulate the ovaries and then metastasize throughout the abdominal cavity killing all mice by 13 months. These fallopian tube HGSCs exhibited molecular similarity with human high grade serous ovarian cancers suggesting that they may be used as preclinical models for drug development. Interestingly, removal of fallopian tubes but not of the ovaries prevented cancer formation confirming the fallopian tube origin of these cancers and providing further support to the hypothesis that the fallopian tube is the primary origin of high-grade serous ovarian cancer[95].
d. Limitations of animal models for preclinical evaluation of experimental agents
Although certain genetically engineered mouse models of EOC mimic the origin, histopathology, clinical behavior (peritoneal carcinomatosis, ascites formation, lymph node involvement and sensitivity to platinum) and molecular fingerprints (gene expression profiling and mutational events) of EOC, there are several limitations of these models particularly relevant to their use for preclinical evaluation of novel anticancer agents[84]. The most significant challenge is the species-specific differences between humans and mice. Telomerase is active in most mouse cells (unlike human cells where it is inactive) and therefore mice tumors require fewer genetic alterations for malignant transformation compared to human tumors. Mouse telomerase
activity prevents adequate modeling of the genomic instability of human tumors, particularly of HGSCs which are characterized by high degree of genomic instability. Furthermore, fundamental differences in drug metabolism (protein binding, metabolic rate and pathways of metabolism) between mice and humans represent a major challenge when mouse models are used for preclinical testing.
Another issue is that mouse models rely on specific oncogenes and tumor suppressor genes while ignoring other aspects of tumor development such as the host immune system and the tumor microenvironment. Due to the limited number of genetic alterations that induce the development of mouse tumors, mouse models are relatively homogeneous and thus may not adequately recapitulate the significant molecular heterogeneity of human tumors which is an essential element of a good preclinical model. Finally, logistical issues including cost, technical challenges in generating GEM models especially GEMs with multiple genetic alterations, long interval until development of tumors and variable penetrance are important limitations of GEM models for preclinical evaluation of novel anticancer drugs.
VII. Conclusions
Despite significant advances in surgical and medical management, EOC remains a highly lethal malignancy for which new therapeutic strategies are urgently needed. Appropriate experimental platforms that recapitulate the complexity of these tumors are critically important for evaluation of novel therapeutics. Table 3 presents the cell/animal models used for preclinical evaluation of selected experimental agents in EOC and
shows the outcome of clinical phase II/III evaluation of these agents. In the first two cases (antiangiogenic agents and PARP inhibitors), cell lines and xenograft models successfully predicted the activity of these agents in phase II/III clinical trials, while in the case of anti-CA125 antibodies and anti-HER-2 agents, preclinical evaluation did not correlate with their phase II/III evaluation. These examples highlight the challenges of preclinical evaluation of novel agents in EOC and underscore the need for appropriate preclinical platforms for a wide variety of experimental agents, i.e. immunotherapies, targeted agents, etc.
In conclusion, cell lines with confirmed molecular identity using targeted sequencing and copy number profiling may be extremely valuable as in vitro models, particularly those with well defined molecular alterations such as BRCA1/2 or PI3K mutations. Xenograft models of established EOC cell lines are still commonly used in preclinical drug development, but are increasingly giving place to PDXs which offer the important advantage of closely resembling original patients' tumors and adequately capturing the molecular and intratumoral heterogeneity of the original tumors. Finally, genetically engineered mouse models hold promise as they may mimic all major elements of human EOCs including stromal-tumor interactions without the requirement of an immunodeficient background. Clearly, there is no one best preclinical EOC model. Rather, preclinical evaluation of experimental anticancer agents should include multiple model systems in order to increase the possibility of correctly predicting their clinical activity.
Table 1. 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 • Microsatellite instability • Frequently arise from endometriosis • Relatively indolent growth • Association with HNPCC* • Poor response to platinum based chemotherapy
Clear Cell Carcinoma I • PIK3CA, ARID1A mutations • MET amplification • May arise from endometriosis • Association with HNPCC* • Worse prognosis and response to platinum based chemotherapy
Mucinous Carcinoma I • KRAS mutations • HER2 amplification • May arise from cystadenoma-borderline sequence
High Grade Serous and High Grade Endometrioid Carcinoma II • P53 mutations (almost universal), BRCA1, BRCA2 mutations • Genomic instability and very high degree of somatic copy number alterations • May arise from fallopian tube intraepithelial carcinoma (TIC) • Association with HBOC** • Rapid growth • Very good response to platinum based chemotherapy
* HNPCC: Hereditary nonpolyposis colorectal cancer syndrome due to germline mutations in mismatch repair genes
** HBOC: Hereditary Breast Ovarian Cancer syndrome due to germline BRCA1 or BRCA2 mutations
Table 2. Advantages and Disadvantages of PDX models
Advantages Disadvantages
Unlike cell lines, PDXs do not undergo evolutionary selection pressure from in vitro culture 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
Table 3. Preclinical evaluation of selected experimental agents used against EOC
Agents Preclinical Models Refs 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 [41, 42, 96] 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 [43, 44, 97, 98]
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 In vivo evaluation in PDX model of BRCA2-associated ovarian cancer and in genetically engineered mouse models of BRCA1 and BRCA2-associated breast cancer [17, 99] [100-102] Clinical evaluation of PARP inhibitors in patients with BRCA-associated tumors confirmed the preclinical observations in breast and ovarian cancers [18, 103, 104] 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 [105, 106] No PFS or OS benefit was detected in large randomized phase III trials for either oregovomab and abagovomab [107, 108]
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 [109, 110] Limited single agent activity of trastuzumab and pertuzumab in ovarian cancer [111, 112] Improved PFS with pertuzumab and gemcitabine in platinum resistant ovarian cancer [113]
REFERENCES
1 Siegel R, Naishadham D, Jemal A: Cancer statistics, 2013. CA Cancer J Clin 2013;63:11-30.
2 Armstrong DK, Bundy B, Wenzel L, Huang HQ, Baergen R, Lele S, Copeland LJ, Walker JL, Burger RA: Intraperitoneal cisplatin and paclitaxel in ovarian cancer. N Engl J Med 2006;354:34-43.
3 Konstantinopoulos PA, Awtrey CS: Management of ovarian cancer: A 75-year-old woman who has completed treatment. JAMA 2012;307:1420-1429.
4 McGuire WP, Hoskins WJ, Brady MF, Kucera PR, Partridge EE, Look KY, Clarke-Pearson DL, Davidson M: Cyclophosphamide and cisplatin compared with paclitaxel and cisplatin in patients with stage iii and stage iv ovarian cancer. N Engl J Med 1996;334:1-6.
5 Winter WE, 3rd, Maxwell GL, Tian C, Carlson JW, Ozols RF, Rose PG, Markman M, Armstrong DK, Muggia F, McGuire WP: Prognostic factors for stage iii epithelial ovarian cancer: A gynecologic oncology group study. J Clin Oncol 2007;25:3621-3627.
6 Cho KR, Shih Ie M: Ovarian cancer. Annu Rev Pathol 2009;4:287-313.
7 Meinhold-Heerlein I, Bauerschlag D, Hilpert F, Dimitrov P, Sapinoso LM, Orlowska-Volk M, Bauknecht T, Park TW, Jonat W, Jacobsen A, Sehouli J, Luttges J, Krajewski M, Krajewski S, Reed JC, Arnold N, Hampton GM: Molecular and prognostic distinction between serous ovarian carcinomas of varying grade and malignant potential. Oncogene 2005;24:1053-1065.
8 Shih Ie M, Kurman RJ: Ovarian tumorigenesis: A proposed model based on morphological and molecular genetic analysis. Am J Pathol 2004;164:1511-1518.
9 Wiegand KC, Shah SP, Al-Agha OM, Zhao Y, Tse K, Zeng T, Senz J, McConechy MK, Anglesio MS, Kalloger SE, Yang W, Heravi-Moussavi A, Giuliany R, Chow C, Fee J, Zayed A, Prentice L, Melnyk N, Turashvili G, Delaney AD, Madore J, Yip S, McPherson AW, Ha G, Bell L, Fereday S, Tam A, Galletta L, Tonin PN, Provencher D, Miller D, Jones SJ, Moore RA, Morin GB, Oloumi A, Boyd N, Aparicio SA, Shih Ie M, Mes-Masson AM, Bowtell DD, Hirst M, Gilks B, Marra MA, Huntsman DG: Arid1a mutations in endometriosis-associated ovarian carcinomas. N Engl J Med;363:1532-1543.
10 Integrated genomic analyses of ovarian carcinoma. Nature 2011 ;474:609-615.
11 Stein WD, Litman T, Fojo T, Bates SE: A serial analysis of gene expression (sage) database analysis of chemosensitivity: Comparing solid tumors with cell lines and comparing solid tumors from different tissue origins. Cancer Res 2004;64:2805-2816.
12 Gillet JP, Calcagno AM, Varma S, Marino M, Green LJ, Vora MI, Patel C, Orina JN, Eliseeva TA, Singal V, Padmanabhan R, Davidson B, Ganapathi R, Sood AK, Rueda BR, Ambudkar SV, Gottesman MM: Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance. Proc Natl Acad Sci U S A 2011;108:18708-18713.
13 Sandberg R, Ernberg I: Assessment of tumor characteristic gene expression in cell lines using a tissue similarity index (tsi). Proc Natl Acad Sci U S A 2005;102:2052-2057.
14 Domcke S, Sinha R, Levine DA, Sander C, Schultz N: Evaluating cell lines as tumour models by comparison of genomic profiles. Nat Commun 2013;4:2126.
15 Coward J, Kulbe H, Chakravarty P, Leader D, Vassileva V, Leinster DA, Thompson R, Schioppa T, Nemeth J, Vermeulen J, Singh N, Avril N, Cummings J, Rexhepaj E, Jirstrom K, Gallagher WM, Brennan DJ, McNeish IA, Balkwill FR: Interleukin-6 as a therapeutic target in human ovarian cancer. Clin Cancer Res;17:6083-6096.
16 Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, Wilson CJ, Lehar J, Kryukov GV, Sonkin D, Reddy A, Liu M, Murray L, Berger MF, Monahan JE, Morais P, Meltzer J, Korejwa A, Jane-Valbuena J, Mapa FA, Thibault J, Bric-Furlong E, Raman P, Shipway A, Engels IH, Cheng J, Yu GK, Yu J, Aspesi P, Jr., de Silva M, Jagtap K, Jones MD, Wang L, Hatton C, Palescandolo E, Gupta S, Mahan S, Sougnez C, Onofrio RC, Liefeld T, MacConaill L, Winckler W, Reich M, Li N, Mesirov JP, Gabriel SB, Getz G, Ardlie K, Chan V, Myer VE, Weber BL, Porter J, Warmuth M, Finan P, Harris JL, Meyerson M, Golub TR, Morrissey MP, Sellers WR, Schlegel R, Garraway LA: The cancer cell line encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature 2012;483:603-607.
17 Farmer H, McCabe N, Lord CJ, Tutt AN, Johnson DA, Richardson TB, Santarosa M, Dillon KJ, Hickson I, Knights C, Martin NM, Jackson SP, Smith GC, Ashworth A: Targeting the DNA repair defect in brca mutant cells as a therapeutic strategy. Nature 2005;434:917-921.
18 Fong PC, Boss DS, Yap TA, Tutt A, Wu P, Mergui-Roelvink M, Mortimer P, Swaisland H, Lau A, O'Connor MJ, Ashworth A, Carmichael J, Kaye SB, Schellens JH,
de Bono JS: Inhibition of poly(adp-ribose) polymerase in tumors from brca mutation carriers. N Engl J Med 2009;361:123-134.
19 Tsao SW, Mok SC, Fey EG, Fletcher JA, Wan TS, Chew EC, Muto MG, Knapp RC, Berkowitz RS: Characterization of human ovarian surface epithelial cells immortalized by human papilloma viral oncogenes (hpv-e6e7 orfs). Exp Cell Res 1995;218:499-507.
20 Maines-Bandiera SL, Kruk PA, Auersperg N: Simian virus 40-transformed human ovarian surface epithelial cells escape normal growth controls but retain morphogenetic responses to extracellular matrix. Am J Obstet Gynecol 1992;167:729-735.
21 Li NF, Kocher HM, Salako MA, Obermueller E, Sandle J, Balkwill F: A novel function of colony-stimulating factor 1 receptor in htert immortalization of human epithelial cells. Oncogene 2009;28:773-780.
22 Davies BR, Steele IA, Edmondson RJ, Zwolinski SA, Saretzki G, von Zglinicki T, O'Hare MJ: Immortalisation of human ovarian surface epithelium with telomerase and temperature-sensitive sv40 large t antigen. Exp Cell Res 2003;288:390-402.
23 Yang G, Rosen DG, Colacino JA, Mercado-Uribe I, Liu J: Disruption of the retinoblastoma pathway by small interfering rna and ectopic expression of the catalytic subunit of telomerase lead to immortalization of human ovarian surface epithelial cells. Oncogene 2007;26:1492-1498.
24 Yang G, Rosen DG, Mercado-Uribe I, Colacino JA, Mills GB, Bast RC, Jr., Zhou C, Liu J: Knockdown of p53 combined with expression of the catalytic subunit of telomerase is sufficient to immortalize primary human ovarian surface epithelial cells. Carcinogenesis 2007;28:174-182.
25 Karst AM, Levanon K, Drapkin R: Modeling high-grade serous ovarian carcinogenesis from the fallopian tube. Proc Natl Acad Sci U S A 2011;108:7547-7552.
26 Jazaeri AA, Bryant JL, Park H, Li H, Dahiya N, Stoler MH, Ferriss JS, Dutta A: Molecular requirements for transformation of fallopian tube epithelial cells into serous carcinoma. Neoplasia 2011;13:899-911.
27 Shan W, Mercado-Uribe I, Zhang J, Rosen D, Zhang S, Wei J, Liu J: Mucinous adenocarcinoma developed from human fallopian tube epithelial cells through defined genetic modifications. Cell Cycle 2012;11:2107-2113.
28 Curley MD, Garrett LA, Schorge JO, Foster R, Rueda BR: Evidence for cancer stem cells contributing to the pathogenesis of ovarian cancer. Front Biosci (Landmark Ed) 2011;16:368-392.
29 Zhang S, Balch C, Chan MW, Lai HC, Matei D, Schilder JM, Yan PS, Huang TH, Nephew KP: Identification and characterization of ovarian cancer-initiating cells from primary human tumors. Cancer Res 2008;68:4311-4320.
30 Alvero AB, Fu HH, Holmberg J, Visintin I, Mor L, Marquina CC, Oidtman J, Silasi DA, Mor G: Stem-like ovarian cancer cells can serve as tumor vascular progenitors. Stem Cells 2009;27:2405-2413.
31 Gao MQ, Choi YP, Kang S, Youn JH, Cho NH: Cd24+ cells from hierarchically organized ovarian cancer are enriched in cancer stem cells. Oncogene 2010;29:2672-2680.
32 Flesken-Nikitin A, Hwang CI, Cheng CY, Michurina TV, Enikolopov G, Nikitin AY: Ovarian surface epithelium at the junction area contains a cancer-prone stem cell niche. Nature 2013;495:241-245.
33 Hamilton TC, Young RC, Louie KG, Behrens BC, McKoy WM, Grotzinger KR, Ozols RF: Characterization of a xenograft model of human ovarian carcinoma which produces ascites and intraabdominal carcinomatosis in mice. Cancer Res 1984;44:5286-5290.
34 Kelland LR, Jones M, Abel G, Valenti M, Gwynne J, Harrap KR: Human ovarian-carcinoma cell lines and companion xenografts: A disease-oriented approach to new platinum anticancer drug discovery. Cancer Chemother Pharmacol 1992;30:43-50.
35 Massazza G, Tomasoni A, Lucchini V, Allavena P, Erba E, Colombo N, Mantovani A, D'Incalci M, Mangioni C, Giavazzi R: Intraperitoneal and subcutaneous xenografts of human ovarian carcinoma in nude mice and their potential in experimental therapy. Int J Cancer 1989;44:494-500.
36 Ward BG, Wallace K: Localization of the monoclonal antibody hmfg2 after intravenous and intraperitoneal injection into nude mice bearing subcutaneous and intraperitoneal human ovarian cancer xenografts. Cancer Res 1987;47:4714-4718.
37 Shultz LD, Lyons BL, Burzenski LM, Gott B, Chen X, Chaleff S, Kotb M, Gillies SD, King M, Mangada J, Greiner DL, Handgretinger R: Human lymphoid and myeloid cell development in nod/ltsz-scid il2r gamma null mice engrafted with mobilized human hemopoietic stem cells. J Immunol 2005;174:6477-6489.
38 Molthoff CF, Calame JJ, Pinedo HM, Boven E: Human ovarian cancer xenografts in nude mice: Characterization and analysis of antigen expression. Int J Cancer 1991;47:72-79.
39 Shaw TJ, Senterman MK, Dawson K, Crane CA, Vanderhyden BC: Characterization of intraperitoneal, orthotopic, and metastatic xenograft models of human ovarian cancer. Mol Ther 2004;10:1032-1042.
40 Hamilton TC, Young RC, McKoy WM, Grotzinger KR, Green JA, Chu EW, Whang-Peng J, Rogan AM, Green WR, Ozols RF: Characterization of a human ovarian carcinoma cell line (nih:Ovcar-3) with androgen and estrogen receptors. Cancer Res 1983;43:5379-5389.
41 Hu L, Hofmann J, Zaloudek C, Ferrara N, Hamilton T, Jaffe RB: Vascular endothelial growth factor immunoneutralization plus paclitaxel markedly reduces tumor burden and ascites in athymic mouse model of ovarian cancer. Am J Pathol 2002;161:1917-1924.
42 Kim KJ, Li B, Winer J, Armanini M, Gillett N, Phillips HS, Ferrara N: Inhibition of vascular endothelial growth factor-induced angiogenesis suppresses tumour growth in vivo. Nature 1993;362:841-844.
43 Burger RA, Sill MW, Monk BJ, Greer BE, Sorosky JI: Phase ii trial of bevacizumab in persistent or recurrent epithelial ovarian cancer or primary peritoneal cancer: A gynecologic oncology group study. J Clin Oncol 2007;25:5165-5171.
44 Cannistra SA, Matulonis UA, Penson RT, Hambleton J, Dupont J, Mackey H, Douglas J, Burger RA, Armstrong D, Wenham R, McGuire W: Phase ii study of bevacizumab in patients with platinum-resistant ovarian cancer or peritoneal serous cancer. J Clin Oncol 2007;25:5180-5186.
45 Shaw D, Clamp A, Jayson GC: Angiogenesis as a target for the treatment of ovarian cancer. Curr Opin Oncol 2013;25:558-565.
46 Fu X, Hoffman RM: Human ovarian carcinoma metastatic models constructed in nude mice by orthotopic transplantation of histologically-intact patient specimens. Anticancer Res 1993;13:283-286.
47 Bao R, Connolly DC, Murphy M, Green J, Weinstein JK, Pisarcik DA, Hamilton TC: Activation of cancer-specific gene expression by the survivin promoter. J Natl Cancer Inst 2002;94:522-528.
48 Connolly DC: Animal models of ovarian cancer. Cancer Treat Res 2009; 149:353391.
49 Vanderhyden BC, Shaw TJ, Ethier JF: Animal models of ovarian cancer. Reprod Biol Endocrinol 2003;1:67.
50 Olive KP, Tuveson DA: The use of targeted mouse models for preclinical testing of novel cancer therapeutics. Clin Cancer Res 2006;12:5277-5287.
51 Tentler JJ, Tan AC, Weekes CD, Jimeno A, Leong S, Pitts TM, Arcaroli JJ, Messersmith WA, Eckhardt SG: Patient-derived tumour xenografts as models for oncology drug development. Nat Rev Clin Oncol 2012;9:338-350.
52 Jin K, Teng L, Shen Y, He K, Xu Z, Li G: Patient-derived human tumour tissue xenografts in immunodeficient mice: A systematic review. Clin Transl Oncol 2010;12:473-480.
53 Morton CL, Houghton PJ: Establishment of human tumor xenografts in immunodeficient mice. Nat Protoc 2007;2:247-250.
54 Rubio-Viqueira B, Hidalgo M: Direct in vivo xenograft tumor model for predicting chemotherapeutic drug response in cancer patients. Clin Pharmacol Ther 2009;85:217-221.
55 Sausville EA, Burger AM: Contributions of human tumor xenografts to anticancer drug development. Cancer Res 2006;66:3351-3354, discussion 3354.
56 Huang S, Pan W, Zhang J, Zhao B, Wang H, Liu F, Jin K, Mou X: Heterogeneity-related anticancer therapy response differences in metastatic colon carcinoma: New hints to tumor-site-based personalized cancer therapy. Hepatogastroenterology 2013
57 Kabos P, Finlay-Schultz J, Li C, Kline E, Finlayson C, Wisell J, Manuel CA, Edgerton SM, Harrell JC, Elias A, Sartorius CA: Patient-derived luminal breast cancer xenografts retain hormone receptor heterogeneity and help define unique estrogen-dependent gene signatures. Breast Cancer Res Treat 2012;135:415-432.
58 Yang M, Shan B, Li Q, Song X, Cai J, Deng J, Zhang L, Du Z, Lu J, Chen T, Wery JP, Chen Y: Overcoming erlotinib resistance with tailored treatment regimen in patient-derived xenografts from naive asian nsclc patients. Int J Cancer 2013;132:E74-84.
59 Kim MP, Truty MJ, Choi W, Kang Y, Chopin-Lally X, Gallick GE, Wang H, McConkey DJ, Hwang R, Logsdon C, Abbruzzesse J, Fleming JB: Molecular profiling of direct xenograft tumors established from human pancreatic adenocarcinoma after neoadjuvant therapy. Ann Surg Oncol 2012;19 Suppl 3:S395-403.
60 Hidalgo M, Bruckheimer E, Rajeshkumar NV, Garrido-Laguna I, De Oliveira E, Rubio-Viqueira B, Strawn S, Wick MJ, Martell J, Sidransky D: A pilot clinical study of treatment guided by personalized tumorgrafts in patients with advanced cancer. Mol Cancer Ther 2011;10:1311 -1316.
61 Fichtner I, Rolff J, Soong R, Hoffmann J, Hammer S, Sommer A, Becker M, Merk J: Establishment of patient-derived non-small cell lung cancer xenografts as models for the identification of predictive biomarkers. Clin Cancer Res 2008;14:6456-6468.
62 Rubio-Viqueira B, Jimeno A, Cusatis G, Zhang X, Iacobuzio-Donahue C, Karikari C, Shi C, Danenberg K, Danenberg PV, Kuramochi H, Tanaka K, Singh S, Salimi-Moosavi H, Bouraoud N, Amador ML, Altiok S, Kulesza P, Yeo C, Messersmith W, Eshleman J, Hruban RH, Maitra A, Hidalgo M: An in vivo platform for translational drug development in pancreatic cancer. Clin Cancer Res 2006;12:4652-4661.
63 Verschraegen CF, Hu W, Du Y, Mendoza J, Early J, Deavers M, Freedman RS, Bast RC, Jr., Kudelka AP, Kavanagh JJ, Giovanella BC: Establishment and characterization of cancer cell cultures and xenografts derived from primary or metastatic mullerian cancers. Clin Cancer Res 2003;9:845-852.
64 Schmidt KF, Ziu M, Schmidt NO, Vaghasia P, Cargioli TG, Doshi S, Albert MS, Black PM, Carroll RS, Sun Y: Volume reconstruction techniques improve the correlation between histological and in vivo tumor volume measurements in mouse models of human gliomas. J Neurooncol 2004;68:207-215.
65 Verstijnen CP, Arends JW, Moerkerk P, Schutte B, van der Linden E, Kuypers-Engelen B, Bosman FT: Culturing and xenografting of primary colorectal carcinoma cells: Comparison of in vitro, and in vivo model and primary tumor. Anticancer Res 1988;8:1193-1200.
66 Reyal F, Guyader C, Decraene C, Lucchesi C, Auger N, Assayag F, De Plater L, Gentien D, Poupon MF, Cottu P, De Cremoux P, Gestraud P, Vincent-Salomon A,
Fontaine JJ, Roman-Roman S, Delattre O, Decaudin D, Marangoni E: Molecular profiling of patient-derived breast cancer xenografts. Breast Cancer Res 2012;14:R11.
67 Daniel VC, Marchionni L, Hierman JS, Rhodes JT, Devereux WL, Rudin CM, Yung R, Parmigiani G, Dorsch M, Peacock CD, Watkins DN: A primary xenograft model of small-cell lung cancer reveals irreversible changes in gene expression imposed by culture in vitro. Cancer Res 2009;69:3364-3373.
68 Sanz L, Cuesta AM, Salas C, Corbacho C, Bellas C, Alvarez-Vallina L: Differential transplantability of human endothelial cells in colorectal cancer and renal cell carcinoma primary xenografts. Lab Invest 2009;89:91-97.
69 Gray DR, Huss WJ, Yau JM, Durham LE, Werdin ES, Funkhouser WK, Jr., Smith GJ: Short-term human prostate primary xenografts: An in vivo model of human prostate cancer vasculature and angiogenesis. Cancer Res 2004;64:1712-1721.
70 Grisanzio C, Seeley A, Chang M, Collins M, Di Napoli A, Cheng SC, Percy A, Beroukhim R, Signoretti S: Orthotopic xenografts of rcc retain histological, immunophenotypic and genetic features of tumours in patients. J Pathol 2011;225:212-221.
71 Shu Q, Wong KK, Su JM, Adesina AM, Yu LT, Tsang YT, Antalffy BC, Baxter P, Perlaky L, Yang J, Dauser RC, Chintagumpala M, Blaney SM, Lau CC, Li XN: Direct orthotopic transplantation of fresh surgical specimen preserves cd133+ tumor cells in clinically relevant mouse models of medulloblastoma and glioma. Stem Cells 2008;26:1414-1424.
72 Yu L, Baxter PA, Voicu H, Gurusiddappa S, Zhao Y, Adesina A, Man TK, Shu Q, Zhang YJ, Zhao XM, Su JM, Perlaky L, Dauser R, Chintagumpala M, Lau CC, Blaney
SM, Rao PH, Leung HC, Li XN: A clinically relevant orthotopic xenograft model of ependymoma that maintains the genomic signature of the primary tumor and preserves cancer stem cells in vivo. Neuro Oncol 2010;12:580-594.
73 James CD: Tumor-initiating cells: An influential paradigm for xenograft research. Neuro Oncol 2010;12:519.
74 Williams SA, Anderson WC, Santaguida MT, Dylla SJ: Patient-derived xenografts, the cancer stem cell paradigm, and cancer pathobiology in the 21st century. Lab Invest 2013;93:970-982.
75 Kopetz S, Lemos R, Powis G: The promise of patient-derived xenografts: The best laid plans of mice and men. Clin Cancer Res 2012;18:5160-5162.
76 Ishikawa F, Yasukawa M, Lyons B, Yoshida S, Miyamoto T, Yoshimoto G, Watanabe T, Akashi K, Shultz LD, Harada M: Development of functional human blood and immune systems in nod/scid/il2 receptor {gamma} chain(null) mice. Blood 2005;106:1565-1573.
77 Kolfschoten GM, Pinedo HM, Scheffer PG, Schluper HM, Erkelens CA, Boven E: Development of a panel of 15 human ovarian cancer xenografts for drug screening and determination of the role of the glutathione detoxification system. Gynecol Oncol 2000;76:362-368.
78 Fredrickson TN: Ovarian tumors of the hen. Environ Health Perspect 1987;73:35-51.
79 Rodriguez GC, Walmer DK, Cline M, Krigman H, Lessey BA, Whitaker RS, Dodge R, Hughes CL: Effect of progestin on the ovarian epithelium of macaques: Cancer prevention through apoptosis? J Soc Gynecol Investig 1998;5:271-276.
80 Brewer M, Baze W, Hill L, Utzinger U, Wharton JT, Follen M, Khan-Dawood F, Satterfield W: Rhesus macaque model for ovarian cancer chemoprevention. Comp Med 2001;51:424-429.
81 Hsieh FY, Tengstrand E, Lee JW, Li LY, Silverman L, Riordan B, Miwa G, Milton M, Alden C, Lee F: Drug safety evaluation through biomarker analysis--a toxicity study in the cynomolgus monkey using an antibody-cytotoxic conjugate against ovarian cancer. Toxicol Appl Pharmacol 2007;224:12-18.
82 Hassan R, Ebel W, Routhier EL, Patel R, Kline JB, Zhang J, Chao Q, Jacob S, Turchin H, Gibbs L, Phillips MD, Mudali S, Iacobuzio-Donahue C, Jaffee EM, Moreno M, Pastan I, Sass PM, Nicolaides NC, Grasso L: Preclinical evaluation of morab-009, a chimeric antibody targeting tumor-associated mesothelin. Cancer Immun 2007;7:20.
83 Stewart SL, Querec TD, Ochman AR, Gruver BN, Bao R, Babb JS, Wong TS, Koutroukides T, Pinnola AD, Klein-Szanto A, Hamilton TC, Patriotis C: Characterization of a carcinogenesis rat model of ovarian preneoplasia and neoplasia. Cancer Res 2004;64:8177-8183.
84 Cheon DJ, Orsulic S: Mouse models of cancer. Annu Rev Pathol 2011 ;6:95-119.
85 Orsulic S, Li Y, Soslow RA, Vitale-Cross LA, Gutkind JS, Varmus HE: Induction of ovarian cancer by defined multiple genetic changes in a mouse model system. Cancer Cell 2002;1:53-62.
86 Xing D, Orsulic S: A mouse model for the molecular characterization of brca1 -associated ovarian carcinoma. Cancer Res 2006;66:8949-8953.
87 Connolly DC, Bao R, Nikitin AY, Stephens KC, Poole TW, Hua X, Harris SS, Vanderhyden BC, Hamilton TC: Female mice chimeric for expression of the simian virus
40 tag under control of the misiir promoter develop epithelial ovarian cancer. Cancer Res 2003;63:1389-1397.
88 Hensley H, Quinn BA, Wolf RL, Litwin SL, Mabuchi S, Williams SJ, Williams C, Hamilton TC, Connolly DC: Magnetic resonance imaging for detection and determination of tumor volume in a genetically engineered mouse model of ovarian cancer. Cancer Biol Ther 2007;6:1717-1725.
89 Mabuchi S, Altomare DA, Connolly DC, Klein-Szanto A, Litwin S, Hoelzle MK, Hensley HH, Hamilton TC, Testa JR: Rad001 (everolimus) delays tumor onset and progression in a transgenic mouse model of ovarian cancer. Cancer Res 2007;67:2408-2413.
90 Flesken-Nikitin A, Choi KC, Eng JP, Shmidt EN, Nikitin AY: Induction of carcinogenesis by concurrent inactivation of p53 and rb1 in the mouse ovarian surface epithelium. Cancer Res 2003;63:3459-3463.
91 Dinulescu DM, Ince TA, Quade BJ, Shafer SA, Crowley D, Jacks T: Role of k-ras and pten in the development of mouse models of endometriosis and endometrioid ovarian cancer. Nat Med 2005;11:63-70.
92 Wu R, Hendrix-Lucas N, Kuick R, Zhai Y, Schwartz DR, Akyol A, Hanash S, Misek DE, Katabuchi H, Williams BO, Fearon ER, Cho KR: Mouse model of human ovarian endometrioid adenocarcinoma based on somatic defects in the wnt/beta-catenin and pi3k/pten signaling pathways. Cancer Cell 2007;11:321-333.
93 Kinross KM, Montgomery KG, Kleinschmidt M, Waring P, Ivetac I, Tikoo A, Saad M, Hare L, Roh V, Mantamadiotis T, Sheppard KE, Ryland GL, Campbell IG, Gorringe KL, Christensen JG, Cullinane C, Hicks RJ, Pearson RB, Johnstone RW, McArthur GA,
Phillips WA: An activating pik3ca mutation coupled with pten loss is sufficient to initiate ovarian tumorigenesis in mice. J Clin Invest 2012;122:553-557.
94 Kim J, Coffey DM, Creighton CJ, Yu Z, Hawkins SM, Matzuk MM: High-grade serous ovarian cancer arises from fallopian tube in a mouse model. Proc Natl Acad Sci U S A 2012;109:3921-3926.
95 Crum CP, Drapkin R, Miron A, Ince TA, Muto M, Kindelberger DW, Lee Y: The distal fallopian tube: A new model for pelvic serous carcinogenesis. Curr Opin Obstet Gynecol 2007;19:3-9.
96 Mesiano S, Ferrara N, Jaffe RB: Role of vascular endothelial growth factor in ovarian cancer: Inhibition of ascites formation by immunoneutralization. Am J Pathol 1998;153:1249-1256.
97 Burger RA, Brady MF, Bookman MA, Fleming GF, Monk BJ, Huang H, Mannel RS, Homesley HD, Fowler J, Greer BE, Boente M, Birrer MJ, Liang SX: Incorporation of bevacizumab in the primary treatment of ovarian cancer. N Engl J Med 2011 ;365:2473-2483.
98 Perren TJ, Swart AM, Pfisterer J, Ledermann JA, Pujade-Lauraine E, Kristensen G, Carey MS, Beale P, Cervantes A, Kurzeder C, du Bois A, Sehouli J, Kimmig R, Stahle A, Collinson F, Essapen S, Gourley C, Lortholary A, Selle F, Mirza MR, Leminen A, Plante M, Stark D, Qian W, Parmar MK, Oza AM: A phase 3 trial of bevacizumab in ovarian cancer. N Engl J Med 2011;365:2484-2496.
99 Bryant HE, Schultz N, Thomas HD, Parker KM, Flower D, Lopez E, Kyle S, Meuth M, Curtin NJ, Helleday T: Specific killing of brca2-deficient tumours with inhibitors of poly(adp-ribose) polymerase. Nature 2005;434:913-917.
100 Hay T, Matthews JR, Pietzka L, Lau A, Cranston A, Nygren AO, Douglas-Jones A, Smith GC, Martin NM, O'Connor M, Clarke AR: Poly(adp-ribose) polymerase-1 inhibitor treatment regresses autochthonous brca2/p53-mutant mammary tumors in vivo and delays tumor relapse in combination with carboplatin. Cancer Res 2009;69:3850-3855.
101 Rottenberg S, Jaspers JE, Kersbergen A, van der Burg E, Nygren AO, Zander SA, Derksen PW, de Bruin M, Zevenhoven J, Lau A, Boulter R, Cranston A, O'Connor MJ, Martin NM, Borst P, Jonkers J: High sensitivity of brca1-deficient mammary tumors to the parp inhibitor azd2281 alone and in combination with platinum drugs. Proc Natl Acad Sci U S A 2008;105:17079-17084.
102 Kortmann U, McAlpine JN, Xue H, Guan J, Ha G, Tully S, Shafait S, Lau A, Cranston AN, O'Connor MJ, Huntsman DG, Wang Y, Gilks CB: Tumor growth inhibition by olaparib in brca2 germline-mutated patient-derived ovarian cancer tissue xenografts. Clin Cancer Res 2010; 17:783-791.
103 Audeh MW, Carmichael J, Penson RT, Friedlander M, Powell B, Bell-McGuinn KM, Scott C, Weitzel JN, Oaknin A, Loman N, Lu K, Schmutzler RK, Matulonis U, Wickens M, Tutt A: Oral poly(adp-ribose) polymerase inhibitor olaparib in patients with brca1 or brca2 mutations and recurrent ovarian cancer: A proof-of-concept trial. Lancet 2010;376:245-251.
104 Fong PC, Yap TA, Boss DS, Carden CP, Mergui-Roelvink M, Gourley C, De Greve J, Lubinski J, Shanley S, Messiou C, A'Hern R, Tutt A, Ashworth A, Stone J, Carmichael J, Schellens JH, de Bono JS, Kaye SB: Poly(adp)-ribose polymerase
inhibition: Frequent durable responses in brca carrier ovarian cancer correlating with platinum-free interval. J Clin Oncol 2010;28:2512-2519.
105 Schultes BC, Zhang C, Xue LY, Noujaim AA, Madiyalakan R: Immunotherapy of human ovarian carcinoma with ovarex mab-b43.13 in a human-pbl-scid/bg mouse model. Hybridoma 1999;18:47-55.
106 Pfisterer J, Harter P, Simonelli C, Peters M, Berek J, Sabbatini P, du Bois A: Abagovomab for ovarian cancer. Expert Opin Biol Ther 2011;11:395-403.
107 Sabbatini P, Harter P, Scambia G, Sehouli J, Meier W, Wimberger P, Baumann KH, Kurzeder C, Schmalfeldt B, Cibula D, Bidzinski M, Casado A, Martoni A, Colombo N, Holloway RW, Selvaggi L, Li A, del Campo J, Cwiertka K, Pinter T, Vermorken JB, Pujade-Lauraine E, Scartoni S, Bertolotti M, Simonelli C, Capriati A, Maggi CA, Berek JS, Pfisterer J: Abagovomab as maintenance therapy in patients with epithelial ovarian cancer: A phase iii trial of the ago ovar, cogi, gineco, and geico--the mimosa study. J Clin Oncol 2013;31:1554-1561.
108 Berek J, Taylor P, McGuire W, Smith LM, Schultes B, Nicodemus CF: Oregovomab maintenance monoimmunotherapy does not improve outcomes in advanced ovarian cancer. J Clin Oncol 2009;27:418-425.
109 Delord JP, Allal C, Canal M, Mery E, Rochaix P, Hennebelle I, Pradines A, Chatelut E, Bugat R, Guichard S, Canal P: Selective inhibition of her2 inhibits akt signal transduction and prolongs disease-free survival in a micrometastasis model of ovarian carcinoma. Ann Oncol 2005;16:1889-1897.
110 Takai N, Jain A, Kawamata N, Popoviciu LM, Said JW, Whittaker S, Miyakawa I, Agus DB, Koeffler HP: 2c4, a monoclonal antibody against her2, disrupts the her kinase
signaling pathway and inhibits ovarian carcinoma cell growth. Cancer 2005;104:2701-2708.
111 Bookman MA, Darcy KM, Clarke-Pearson D, Boothby RA, Horowitz IR: Evaluation of monoclonal humanized anti-her2 antibody, trastuzumab, in patients with recurrent or refractory ovarian or primary peritoneal carcinoma with overexpression of her2: A phase ii trial of the gynecologic oncology group. J Clin Oncol 2003;21:283-290.
112 Gordon MS, Matei D, Aghajanian C, Matulonis UA, Brewer M, Fleming GF, Hainsworth JD, Garcia AA, Pegram MD, Schilder RJ, Cohn DE, Roman L, Derynck MK, Ng K, Lyons B, Allison DE, Eberhard DA, Pham TQ, Dere RC, Karlan BY: Clinical activity of pertuzumab (rhumab 2c4), a her dimerization inhibitor, in advanced ovarian cancer: Potential predictive relationship with tumor her2 activation status. J Clin Oncol 2006;24:4324-4332.
113 Makhija S, Amler LC, Glenn D, Ueland FR, Gold MA, Dizon DS, Paton V, Lin CY, Januario T, Ng K, Strauss A, Kelsey S, Sliwkowski MX, Matulonis U: Clinical activity of gemcitabine plus pertuzumab in platinum-resistant ovarian cancer, fallopian tube cancer, or primary peritoneal cancer. J Clin Oncol 2009;28:1215-1223.
Copyright of Frontiers in Oncology is the property of Frontiers Media S.A. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.