Perturbation of Rb, p53, and Brca1 or Brca2 Cooperate in Inducing Metastatic Serous Epithelial Ovarian Cancer
ABSTRACT The majority of human high-grade serous epithelial ovarian cancer (SEOC) is characterized by frequent mutations in p53 and alterations in the RB and FOXM1 pathways. A subset of human SEOC harbors a combination of germline and somatic mutations as well as epigenetic dysfunction for BRCA1/2. Using Cre-conditional alleles and intrabursal induction by Cre-expressing adenovirus in genetically engineered mice, we analyzed the roles of pathway perturbations in epithelial ovarian cancer initiation and progression. Inactivation of RB-mediated tumor suppression induced surface epithelial proliferation with progression to stage I carcinoma. Additional biallelic inactivation and/or missense p53 mutation in the presence or absence of Brca1/2 caused progression to stage IV disease. As in human SEOC, mice developed peritoneal carcinomatosis, ascites, and distant metastases. Unbiased gene expression and metabolomic profiling confirmed that Rb, p53, and Brca1/2-triple mutant tumors aligned with human SEOC, and not with other intraperitoneal cancers. Together, our findings provide a novel resource for evaluating disease etiology and biomarkers, therapeutic evaluation, and improved imaging strategies in epithelial ovarian cancer.
- SourceAvailable from: Tian-Biao Zhou
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- "Prohibitin can co-localize with the expressions of tumor suppressor genes, such as c-myc, c-fos, p53, and Rb (Li et al., 2011). Interestingly, c-myc, c-fos, p53, and Rb are very important in the pathogenesis of breast and ovarian cancers (Wang et al., 2010; Alshatwi et al., 2011; Kermani et al., 2011; Luparello et al., 2012; Szabova et al., 2012; Vijayaraman et al., 2012). Prohibitin might be associated with the risk of breast and ovarian cancers. "
ABSTRACT: Objective: The results from the published studies on the association between prohibitin 3' untranslated region C > T gene polymorphism and cancer risk are conflicting. This meta-analysis was performed to evaluate the relationship with cancer susceptibility overall, and to explore whether the T allele or TT genotype could become a predictive marker for cancer risk. Methods: Association studies were identified from the databases of PubMed, Embase, and Cochrane Library as of March 1, 2012, and eligible investigations were synthesized using the meta-analysis method. Results were expressed with odds ratios (OR) for dichotomous data, and 95% confidence intervals (CI) were also calculated. Results: Six investigations were identified for the analysis of association between the prohibitin 3' untranslated region C > T gene polymorphism and cancer risk, covering of 1,461 patients with cancer and 1,197 controls. There was a positive association between the T allele and cancer susceptibility (OR=1.20, 95% CI: 1.03-1.39, P=0.02), and CC homozygous might play a protective role (OR=0.80, 95% CI: 0.68-6.11, P=0.95). In the sub-group analysis, prohibitin 3' untranslated region C > T gene polymorphism and cancer risk appeared associated with the risk of breast cancer, but not ovarian cancer. Conclusions: Our results indicate that T allele is a significant genetic molecular marker to predict cancer susceptibility and CC genotype is protective, especially for breast cancer. However, more investigations are required to further clarify the association of the prohibitin 3' untranslated region C > T gene polymorphism with cancer susceptibility.Asian Pacific journal of cancer prevention: APJCP 07/2012; 13(7):3319-23. DOI:10.7314/APJCP.2012.13.7.3319 · 2.51 Impact Factor
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ABSTRACT: Lung cancer patients with activating mutations in the epidermal growth factor receptor (EGFR) kinase who are treated long-term with tyrosine kinase inhibitors (TKIs) often develop secondary mutations in EGFR associated with resistance. Mice engineered to develop lung adenocarcinomas driven by the human EGFR T790M resistance mutation are similarly resistant to the EGFR TKI erlotinib. By tumor volume endpoint analysis, these mouse tumors respond to BIBW 2992 (an irreversible EGFR/HER2 TKI) and rapamycin combination therapy. In order to correlate EGFR-driven changes in the lung with response to drug treatment, we performed an integrative analysis of global transcriptome and metabolite profiling compared to quantitative imaging and histopathology at several time points during tumor progression and treatment. Responses to single drug treatments were temporary, while combination therapy elicited a sustained response. During tumor development, metabolomic signatures indicated a shift to high anabolic activity and suppression of anti-tumor programs with 11 metabolites consistently present in both lung tissue and blood. Combination drug treatment reversed many of the molecular changes found in tumored lung. Data integration linking cancer signaling networks with metabolic activity identified key pathways such as glutamine and glutathione metabolism that signified response to single or dual treatments. Results from combination drug treatment suggest that metabolic transcriptional control through C-MYC and SREBP, as well as ELK1, NRF1 and NRF2, depends on both EGFR and mTORC1 signaling. Our findings establish the importance of kinetic therapeutic studies in preclinical assessment and provide in vivo evidence that TKI-mediated antiproliferative effects also manifest in specific metabolic regulation.Cancer Research 09/2012; 72(22). DOI:10.1158/0008-5472.CAN-12-0736 · 9.28 Impact Factor
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ABSTRACT: The development of genetically engineered models (GEM) of epithelial ovarian cancer (EOC) has been very successful, with well validated models representing high grade and low grade serous adenocarcinomas and endometrioid carcinoma (EC). Most of these models were developed using technologies intended to target the ovarian surface epithelium (OSE), the cell type long believed to be the origin of EOC. More recent evidence has highlighted what is likely a more prevalent role of the secretory cell of the fallopian tube in the ontogeny of EOC, however none of the GEM of EOC have demonstrated successful targeting of this important cell type. The precise technologies exploited to develop the existing GEM of EOC are varied and carry with them advantages and disadvantages. The use of tissue specific promoters to model disease has been very successful, but the lack of any truly specific OSE or oviductal secretory cell promoters makes the outcomes of these models quite unpredictable. Effecting genetic change by the administration of adenoviral vectors expressing Cre recombinase may alleviate the perceived need for tissue specific promoters, however the efficiencies of infection of different cell types is subject to numerous biological parameters that may lead to preferential targeting of certain cell populations. One important future avenue of GEM of EOC is the evaluation of the role of genetic modifiers. We have found that genetic background can lead to contrasting phenotypes in one model of ovarian cancer, and data from other laboratories have also hinted that the exact genetic background of the model may influence the resulting phenotype. The different genetic backgrounds may modify the biology of the tumors in a manner that will be relevant to human disease, but they may also be modifying parameters which impact the response of the host to the technologies employed to develop the model.Journal of Ovarian Research 11/2012; 5(1):39. DOI:10.1186/1757-2215-5-39 · 2.03 Impact Factor