Abstract Background: Endometrial cancers account for over 46,000 cases and 8,100 deaths annually in the U.S. Endometrial cancers that are confined to the uterus portend an excellent prognosis, suggesting that development of early detection methods for these tumors could reduce mortality. To identify and validate markers with potential utility in early detection of endometrial cancers, we compared DNA methylation profiling data for endometrial cancer tissues collected in a population-based epidemiological study and a comparison set of benign endometrial tissues, and replicated promising candidates in a separate clinical study. Methods: We used the Illumina Golden Gate platform to profile DNA methylation of CpGs at 1536 sites (807 genes) using fixed tissues from 148 endometrial cancers included in the population-based Polish Endometrial Cancer Study (cases) and 23 benign endometrial tissues collected at Magee Women's Hospital (controls). Tissue cores (1.0-mm) removed from target-rich areas of blocks were used for DNA extraction, bisulfite treatment and profiling. We replicated top candidate markers by applying pyrosequencing assays to endometrial brushings performed prior to hysterectomy among 38 women with endometrial cancer and 37 with benign gynecological diseases treated at the Mayo Clinic and calculated odds ratios comparing the highest tertile of methylation values in controls for each marker with middle and low tertiles. In addition, we assessed discrimination across the whole range of cutoffs using Receiver Operator Characteristics (ROC) curves. Results: Methylation profiling identified 114 CpG sites with differential methylation levels between cases and controls (P≤10-7). Eight genes (ADCYAP1, ASCL2, HS3ST2, HTR1B, MME, NPY, and SOX1) which showed large case-control differences in methylation levels (≥ 0.4), and low values in controls (<0.2) were chosen for replication by pyrosequencing in pre-hysterectomy patients. In the replication study, higher methylation levels were found for 7 of 8 genes in endometrial brush samples from women with cancer as compared to women without cancer. In the replication study, odds ratios for association of methylation markers with endometrial cancer ranged from 3.6 (95%-CI: 1.35-9.47) for HTR1B to 10.9 (95%-CI: 3.23-36.91) for ASCL2. Discrimination of cases and controls was best for ADCYAP1 (area under ROC curve=0.89; 95% CI: 0.80-0.97), CDH13 (0.87; 95% CI: 0.80-0.97), and MME (0.87; 95% CI: 0.78-0.97). Conclusions: Analysis of DNA methylation markers in endometrial brushings is strongly associated with prevalent endometrial cancer at hysterectomy. Development and validation of a robust early detection marker panel for endometrial cancers, including non-endometrioid cancers and precursor lesions is ongoing. Citation Format: Nicolas A. Wentzensen, Jamie Bakkum, Keith Killian, Viji Shridhar, Lisa Adams, Richard Guido, Lori D'Ambrosio, Patricia Luhn, Joshua Sampson, Hannah Yang, Louise Brinton, Jolanta Lissowska, Karl Podratz, Mark Sherman. Discovery and validation of methylation markers for early detection of endometrial cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3477. doi:10.1158/1538-7445.AM2013-3477
Tumor Hypomethylation at 6p21.3 Associates with Longer Time to Recurrence of High-Grade Serous Epithelial Ovarian Cancer
Abstract 3272: Characterization of mouse oviductal glycoprotein (Ovgp1) promoter driven SV40 T large antigen: fallopian tube cancer and leiomyosarcoma mouse model
Abstract Recent molecular and pathologic evidence indicate that high-grade serous carcinomas of the ovary, which are the most common type of epithelial carcinomas, may arise from the distal part of fallopian tubes or tubal carcinoma implants. Oviductal glycoprotein 1 (Ovgp1), a glycosylated protein found in the epithelial cells in the oviduct, is the only specific tubal marker so far. Ovgp1 promoter-driven SV40 large T-antigen transgenic mice develop tumors in the female reproductive organs. To characterize these tumors, we performed immunohistochemical analysis in paraffin-embedded sections. Mice were sacrificed at 8 or 13 weeks old. Macroscopically we observed large tumors in the uterus and cervix and markedly enlarged region in the oviduct. Due to the large tumor in the uterus and cervix, we could not keep the mice longer than 13 weeks. Histologically, there were no major differences in these affected regions between 8 weeks old and 13 weeks old mice. We observed, (i) relatively small ovaries and ovarian follicular hyperplasia, (ii) intact ovarian surface epithelium showing no atypical histology, (iii) atypical epithelial hyperplasia within the oviduct (with endometrioid architectural and cytologic features), (iv) leiomyosarcomatous proliferation in the myometrium, and (v) squamous carcinoma in situ in the cervix or early invasive cervical cancer with extensive papillary architecture. We did not detect metastasis from the tumor to other organs. The atypical abnormalities of the oviduct were more significant in the proximal site to the uterus than the distal site. The proximal oviduct demonstrated weak and spotty p53 expression, beneath the epithelium, similar to p53 signature in the human oviduct. We hypothesized that stem cell components may contribute to the tumor development and that putative cancer stem cells could be identified by stem cell markers. In the oviduct epithelium, Bmi1 expression was not detectable. Cytoplasmic expression of Sox2 was observed in all epithelial cells of the oviduct. There was little correlation between Sox2/Bmi1 staining and p53 staining in the oviduct. Interestingly, Sox2 and Bmi1 staining in the wild-type control mice showed immunoreactive cells interspersed between glandular structures, a pattern similar to previously described label-retaining cells in the endometrium. The expression pattern in Ovgp1-SV40 mice, Bmi1 and Sox2 expression were more obvious in the endometrial stromal area but not in the leiomyosarcoma region, which implies that stem cell components in the endometrial region may support the leiomyosarcoma progression in this mouse model. In conclusion, Ovgp1-SV40 transgenic mouse is a useful model for studies involving fallopian and lower genital tract carcinogenesis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3272. doi:1538-7445.AM2012-3272
Abstract 3179: Targeted re-sequencing of cancer-related genes from matched FFPE and fresh-frozen tumor samples using the Illumina sequencing platform
Abstract High throughput sequencing technologies open up a new dimension in cancer genomics by enabling the characterization of cancer genomes at base-pair resolution. To date, the majority of large-scale genomics projects rely on fresh-frozen biospecimens in their studies, which are difficult to obtain and often lack long-term clinical data. Unlike fresh-frozen samples, archived formalin-fixed paraffin-embedded (FFPE) tissues are more readily accessible, and are often associated with known clinical outcomes and more complete clinical annotations. However, sequencing library preparation methods need to be further optimized with regard to applicability to FFPE samples. To test whether next-generation sequencing technologies could overcome previously reported artifacts associated with formalin fixation and report accurate sequencing results, we compared whole-genome and targeted enrichment DNA sequencing data obtained from five FFPE tumor samples for which matching frozen tissues were available. We successfully generated sequencing libraries using 1 µg of genomic DNA as input material and a modified TruSeq™ sample preparation protocol. We designed a custom enrichment pool targeting exons from 215 cancer-related genes and utilized this pool to pull-down and sequence approximately 1.3 Mb region of the genome with an average 400x coverage depth to test if deep sequencing would improve validation of tumor-specific somatic mutations. We used the Illumina sequence analysis pipeline and the Windows-based second generation DNA sequencing software NextGENe® to analyze the data and identify sequence variations that are different from the human reference genome. CNV detection was overall higher among FFPE samples compared with fresh-frozen samples, demonstrating that tissue processing impacts sequencing data quality. We obtained good concordance in variant calls between matched FFPE and fresh-frozen samples. Discordant variant calls were mainly due to low depth of coverage in the regions where variant calls were made. Improvements to DNA sequencing methods for archived samples will significantly enhance cancer research and will result in more reliable prediction of individual cancer therapies. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3179. doi:1538-7445.AM2012-3179
Abstract 5120: Functional genetic screens identify a rare isoform of RABL3 as a modulator of paclitaxel resistance in ovarian cancer
Abstract Recent RNA-sequencing studies have identified variant transcripts, fusion transcripts and novel transcripts in cancer. However, little is known about the role of these variant transcripts in tumor development. To identify a specific role of these variant transcripts in tumor development toward chemotherapy resistance, we generated a custom retroviral cDNA expression library from 10 ovarian tumors with resistance to chemotherapy. Retrovirues were generated from the custom library, and they were used to transduced exogenous genes into ovarian cancer cell line A1847, a cell line chosen for its sensitivity to paclitaxel. A1847 cells transduced with retroviruses carrying alkaline phosphatase was used as a control. Transuced cells were selected with 25 nM paclitaxel. 87 clones survived the selection in library-tranduced cells whereas none survived the selection in alkaline phosphatase-tranduced control cells. Forty seven clones survive the secondary screens. Sequence analysis of transduced genes in these surviving clones indicate that 4 paclitaxel-resistant clones contain RABL3 splice variant. Although 195 accessions corresponding to wildtype transcripts are reported in AceView, there is a single accession corresponding to RABL splice variant that we identified in this screen. RNAi-mediated downregulation of RABL3 resulted in enhance sensitivity toward paclitaxel in these resistant clones. Ectopic expression of RABL3 splice variant resulted in increased resistant to paclitaxel. Collectively, these results demonstrate the feasibility of performing functional genetic screens to identify novel splice variants involved in tumor development. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5120. doi:1538-7445.AM2012-5120
Abstract 4960: The role of YY1 in paclitaxel-induced cytotoxicity in epithelial ovarian cancer
Abstract The Yin Yang 1 (YY1) transcription factor is a member of Polycomb protein family, with important roles in development, differentiation, replication and cell proliferation. While YY1 expression is correlated with survival in serous ovarian cancer, its role in chemotherapeutic agent-mediated cytotoxicity is not known. Immunoblot analysis revealed that YY1 is highly expressed in ovarian cancer cell lines, but not in immortalized ovarian surface epithelial (OSE) cell lines, suggesting a possible role of YY1 in ovarian carcinogenesis. shRNA mediated stable downregulation of YY1 resulted in inhibition of proliferation by CyQuant assay in SKOV3 and SKOV3ip cells. While YY1 downregulation increased the sensitivity against paclitaxel in both cell lines compared to nontargeted cells (NTC) as determined by MTT and clonogenic assays, it had no effect on sensitivity to cisplatin-mediated cytotoxicity. YY1 downregulated clones treated with paclitaxel resulted in an increase in cleavage of poly (ADP-ribose) polymerase and caspase-3/7 activity compared to NTC clones treated with it in SKOV3 and SKOV3ip1 cells. To determine the mechanism of paclitaxel sensitivity modulated by YY1, we performed cell cycle analysis and determined the expression of microtubules at protein level. Cell cycle analysis showed that downregulation of YY1 decreased the proportion of G0/G1 phase with corresponding increase in cells accumulating both S and G2/M phases in SKOV3 and SKOV3ip1 cells. Using nocodazole which synchronizes cells into mitotic phase, we found that blocking mitotic exit by YY1 knockdown slowed the cyclin B1 proteolysis, thus allowing more time for death initiation by paclitaxel. Immunoblot analysis showed that downregulation of YY1 increased the acetylation of alpha-tubulin and attenuated betaIII-tubulin expression compared to NTC cells. Immunoprecipitation and immunofluorescence assays revealed that YY1 interacts with HDAC6 which deacetylates alpha-tubulin and these proteins co-localized in mitotic phase, suggesting that dysfunction of HDAC6 by downregulation of YY1 could lead to microtubules stabilization, resulting in the paclitaxel-induced apoptosis by blocking mitotic exit. Moreover, nude mice bearing xenografts with stable downregulation of YY1 in SKOV3ip1 were more sensitive to paclitaxel-induced cytotoxicity compared to xenografts of NTC cells. Additionally immunohistchemical staining showed a decrease in betaIII-tubulin expression in tumor of YY1 downregulated clones compared to that of NTC clones. Collectively, these results indicate that YY1 acts as a modulator of microtubules expression and might be therapeutically targeted against epithelial ovarian cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4960. doi:1538-7445.AM2012-4960
Abstract 4179: Loss of Hsulf-1 promotes chemoresistance and tumorigenecity in ovarian cancer
Abstract Human Sulfatase1 enzyme (HSulf-1) is down-regulated in a majority of ovarian cancer cell lines and primary tumors, but the functional consequence of this downregulation remains unclear. Here, we show that down-regulation of HSulf-1 by RNA interference resulted in an elevated level of phosphorylated Erk and phosphorqylated Akt as well as decreased Bim level in OV202 ovarian cancer cells. Treatment with PD98059 (p-Erk inhibitor) but not LY90024 (PI3K inhibitor) resulted in increased Bim level in Hsulf-1 knockdown cells, suggesting that increased Erk pathway plays a more important role in modulating Bim level after loss of HSulf-1. Consistently, the results of real-time PCR confirmed that there was no significant change in the mRNA level of Bim after knockdown of HSulf-1 expression. When treated with CDDP, OV202 cells with knockdown of HSulf-1 displayed more resistance to drug-induced apoptosis, with IC50 value 3-fold higher than cells with non-targeting shRNA (NTC), while SKOV3 cells with overexpression of HSulf-1 were more sensitive to CDDP-induced apoptosis compared to the control cells. Moreover, HSulf-1 downregulated OV202 cells showed remarkable growth of colonies in soft agar compared to no colony growing with NTC cells. When injected subcutaneously, HSulf-1 ShRNA clones but not NTC cells formed xenogrfts in nude mice. Importantly, rescuing Bim expression in HSulf-1 shRNA cells not only endowed cells sensitivity to CDDP treatment, but also significantly decreased numbers of colony formation in soft agar and significantly retarded tumor growth in nude mice. Collectively, these results strongly suggest that down-regulation of HSulf-1 promotes chemoresistance and tumorigenicity in ovarian cancer cells through post-translational downregulation of Bim level. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4179. doi:1538-7445.AM2012-4179