Hartmann, Lynn C.

Abstract Metformin is the most widely used drug for type 2 diabetes. Metformin activates AMP-activated protein kinase (AMPK), which regulates cellular energy metabolism via its upstream kinase LKB1. Activation of AMPK has been shown extensively to cause growth arrest in multiple tumor types by inhibiting the TSC-mTOR (mammalian target of rapamycin) pathway as well as by inducing cell cycle arrest. Our data indicate that metformin exerts an anti-proliferative effect on several chemo-responsive and -resistant ovarian cancer cell lines (A2780, CP70, C200, OV202, OVCAR3 and SKVO3ip, PE01, PE04), which is accompanied by activation of AMPK and cell cycle arrest. Interestingly, we have also determined that metformin is able to inhibit proliferation of ovarian cancer cells when AMPK is silenced by siRNA, where both the expression and activation of AMPK is significantly reduced. Also, metformin was able to attenuate proliferation of AMPK (−/−) mefs, although to a lesser degree in AMPK (+/+) mefs. Additional results indicate that metformin activates p21 and inhibits cyclinD1 activities partially in AMPK (−/) mefs. These data suggest a novel mechanism of metformin action, namely, an AMPK independent pathway which can modulate proliferation and possibly cell cycle regulated events in ovarian cancer. Whether the AMPK independent effects of metformin require LKB1 activity is currently under investigation. Collectively, our preliminary observations indicate that metformin can modulate proliferation and cell cycle arrest in an AMPK independent manner. Citation Information: Cancer Res 2009;69(23 Suppl):C38.

Abstract Background: Genome-wide association studies (GWAS) for epithelial ovarian cancer (EOC), the most lethal gynecologic malignancy, have identified novel susceptibility loci. GWAS for survival after EOC have had more limited success. The association of each single-nucleotide polymorphism (SNP) individually may not be well suited to detect small effects of multiple SNPs, such as those operating within the same biologic pathway. Gene set analysis (GSA) overcomes this limitation by assessing overall evidence for association of a phenotype with all measured variation in a set of genes. Methods: To determine gene sets associated with EOC overall survival, we conducted GSA using data from two large GWAS (N cases = 2,813, N deaths = 1,116), with a novel Principal Component-Gamma GSA method. Analysis was completed for all cases and then separately for high-grade serous histologic subtype. Results: Analysis of the high-grade serous subjects resulted in 43 gene sets with P < 0.005 (1.7%); of these, 21 gene sets had P < 0.10 in both GWAS, including intracellular signaling pathway (P = 7.3 × 10−5) and macrolide binding (P = 6.2 × 10−4) gene sets. The top gene sets in analysis of all cases were meiotic mismatch repair (P = 6.3 × 10−4) and macrolide binding (P = 1.0 × 10−3). Of 18 gene sets with P < 0.005 (0.7%), eight had P < 0.10 in both GWAS. Conclusion: This research detected novel gene sets associated with EOC survival. Impact: Novel gene sets associated with EOC survival might lead to new insights and avenues for development of novel therapies for EOC and pharmacogenomic studies. Cancer Epidemiol Biomarkers Prev; 21(3); 529–36. ©2012 AACR.

Abstract A positive association has been reported between greater bone density and higher breast cancer risk, suggesting that these women could be at reduced risk of fracture. To estimate fracture risk among unselected community women with breast cancer and to systematically assess associations with various risk factors including breast cancer treatments, we conducted a population-based historical cohort study of 608 Olmsted County, MN, USA, women with invasive breast cancer first diagnosed in 1990 to 1999 (mean age 61.6 ± 14.8 years), who were followed for 5776 person-years. Altogether, 568 fractures were observed in 270 women (98 per 1000 person-years). Overall fracture risk was elevated 1.8-fold, but the absolute increase in risk was only 9%, and 56% of the women did not experience a fracture during follow-up. Excluding pathologic fractures (15%) and those found incidentally (24%), to allow for ascertainment bias, the standardized incidence ratio was 1.2 (95% confidence interval [CI] 0.99 to 1.3) for total fracture risk and 0.9 (95% CI 0.7 to 1.2) for osteoporotic fracture risk alone. Various breast cancer treatments were associated with an increased risk of fracture, but those associations were strongest for pathologic fractures, which were relatively more common among the women who were premenopausal when their breast cancer was diagnosed. Moreover, underlying clinical characteristics prompting different treatments may have been partially responsible for the associated fracture outcomes (indication bias). These data thus demonstrate that breast cancer patients in general are not at greatly increased risk of fracture but neither are they protected from fractures despite any determinants that breast cancer and high bone density may have in common. © 2012 American Society for Bone and Mineral Research.

Abstract p16, a nuclear protein encoded by the p16INK4a gene, is a regulator of cell-cycle regulation. Previous studies have shown that expression of p16 in tissue biopsies of patients with ductal carcinoma in situ (DCIS) is associated with increased risk of breast cancer, particularly when considered in combination with other markers such as Ki-67 and COX-2. Here, we evaluated how expression of p16 in breast tissue biopsies of women with atypical hyperplasia (AH), a putative precursor lesion to DCIS, is associated with subsequent development of cancer. p16 expression was assessed by immunohistochemistry in archival sections from 233 women with AH diagnosed at the Mayo Clinic. p16 expression in the atypical lesions was scored by percentage of positive cells and intensity of staining. We also studied coexpression of p16, with Ki-67 and COX-2, biomarkers of progression in AH. Risk factor and follow-up data were obtained via study questionnaire and medical records. Forty-seven patients (20%) developed breast cancer with a median follow-up of 14.5 years. Staining of p16 was increased in older patients relative to younger patients (P = 0.0025). Although risk of developing breast cancer was not associated with increased p16 expression, joint overexpression of Ki-67 and COX-2 was found to convey stronger risk of breast cancer in the first 10 years after diagnosis as compared with one negative marker (P < 0.01). However, the addition of p16 levels did not strengthen this association. p16 overexpression, either alone or in combination with COX-2 and Ki-67, does not significantly stratify breast cancer risk in women with AH. Cancer Prev Res; 4(12); 1953–60. ©2011 AACR.

Abstract Background: Invasive ovarian cancer is a significant cause of gynecologic cancer mortality. Methods: We examined whether this mortality was associated with inherited variation in approximately 170 candidate genes/regions [993 single-nucleotide polymorphisms (SNPs)] in a multistage analysis based initially on 312 Mayo Clinic cases (172 deaths). Additional analyses used The Cancer Genome Atlas (TCGA; 127 cases, 62 deaths). For the most compelling gene, we immunostained Mayo Clinic tissue microarrays (TMA, 326 cases) and conducted consortium-based SNP replication analysis (2,560 cases, 1,046 deaths). Results: The strongest initial mortality association was in HGF (hepatocyte growth factor) at rs1800793 (HR = 1.7, 95% CI = 1.3–2.2, P = 2.0 × 10−5) and with overall variation in HGF (gene-level test, P = 3.7 × 10−4). Analysis of TCGA data revealed consistent associations [e.g., rs5745709 (r2 = 0.96 with rs1800793): TCGA HR = 2.4, CI = 1.4–4.1, P = 2.2 × 10−3; Mayo Clinic + TCGA HR = 1.6, CI = 1.3–1.9, P = 7.0 × 10−5] and suggested genotype correlation with reduced HGF mRNA levels (P = 0.01). In Mayo Clinic TMAs, protein levels of HGF, its receptor MET (C-MET), and phospho-MET were not associated with genotype and did not serve as an intermediate phenotype; however, phospho-MET was associated with reduced mortality (P = 0.01) likely due to higher expression in early-stage disease. In eight additional ovarian cancer case series, HGF rs5745709 was not associated with mortality (HR = 1.0, CI = 0.9–1.1, P = 0.87). Conclusions: We conclude that although HGF signaling is critical to migration, invasion, and apoptosis, it is unlikely that HGF genetic variation plays a major role in ovarian cancer mortality. Furthermore, any minor role is not related to genetically-determined expression. Impact: Our study shows the utility of multiple data types and multiple data sets in observational studies. Cancer Epidemiol Biomarkers Prev; 20(8); 1638–48. ©2011 AACR.

Abstract Within the ovarian cancer microenvironment, there are several mechanisms that suppress the actions of antitumor immune effectors. Delineating the complex immune microenvironment is an important goal toward developing effective immune-based therapies. A dominant pathway of immune suppression in ovarian cancer involves tumor-associated and dendritic cell (DC)-associated B7-H1. The interaction of B7-H1 with PD-1 on tumor-infiltrating T cells is a widely cited theory of immune suppression involving B7-H1 in ovarian cancer. Recent studies suggest that the B7-H1 ligand, programmed death receptor-1 (PD-1), is also expressed on myeloid cells, complicating interpretations of how B7-H1 regulates DC function in the tumor. In this study, we found that ovarian cancer-infiltrating DCs progressively expressed increased levels of PD-1 over time in addition to B7-H1. These dual-positive PD-1+ B7-H1+ DCs have a classical DC phenotype (i.e., CD11c+CD11b+CD8−), but are immature, suppressive, and respond poorly to danger signals. Accumulation of PD-1+B7-H1+ DCs in the tumor was associated with suppression of T cell activity and decreased infiltrating T cells in advancing tumors. T cell suppressor function of these DCs appeared to be mediated by T cell-associated PD-1. In contrast, ligation of PD-1 expressed on the tumor-associated DCs suppressed NF-κB activation, release of immune regulatory cytokines, and upregulation of costimulatory molecules. PD-1 blockade in mice bearing ovarian cancer substantially reduced tumor burden and increased effector Ag-specific T cell responses. Our results reveal a novel role of tumor infiltrating PD-1+B7-H1+ DCs in mediating immune suppression in ovarian cancer.

Abstract Background: Cell cycle dysregulation is a common molecular finding in ovarian cancer and the cyclin-D kinases (CDK) represent an attractive target in this pathway. PD 0332991 (Pfizer Inc.) is an orally active potent and highly selective inhibitor of CDK 4 and CDK6 kinases with the ability to block pRb phosphorylation at serine 780 and 795 in the low nanomolar range. To identify predictors of response to PD 0332991, we determined the in vitro sensitivity to PD 0332991 in a large panel of molecularly characterized ovarian cancer cell lines, and then used baseline expression profiles and Western blot analyses to identify biomarkers associated with response to PD 0332991. These biomarkers were then validated in a large cohort of 324 ovarian cancer patients by immunohistochemistry. Methods: 40 human ovarian cancer cell lines were treated with PD 0332991 using two-fold dilutions over 12 concentrations. Dose response curves were generated using a cell count assay to calculate the IC50 across the panel. These data were then analyzed against baseline gene expression data to identify genes associated with sensitivity to PD 0332991. Western blot analysis was performed to validate these markers and to study the effects of PD 0332991 on pRb phosphorylation. Cell cycle analysis was performed using flow-cytometry. Combination studies were performed to analyze the interaction between PD 0332991 and paclitaxel or carboplatin chemotherapy. Tissue microarrays were constructed from 324 ovarian cancer patients and IHC was performed for p16 and Rb expression. Long-term clinical follow up was available for all patients. Results: Concentration-dependent anti-proliferative effects of PD 0332991were seen in all ovarian cancer cell lines tested, but varied significantly between individual cell lines with up to a 3 log-fold difference in the IC50s (IC50 range: 0.02 to >20 μmol/L). Cell lines with high Rb expression and low p16 expression by gene expression array and Western blot analyses were most sensitive to inhibition by PD 0332991. Cell lines treated with PD 0332991 showed clear G0/G1 arrest and a decrease in S-phase fraction in sensitive but not in resistant cell lines. In addition, Western blot showed that pRb phosphorylation is blocked in a concentration and time dependent manner. IHC for Rb and p16 allows the identification of ovarian cancer patients most likely to benefit from CDK4/6 inhibition. Outcome analyses are ongoing. Conclusion: PD 0332991 shows promising biologic activity in ovarian cancer cells. Assessment of Rb and p16 expression may help select patients who benefit from therapeutic strategies targeting CDK4/6 in ovarian cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 25.

Abstract Using data from patients with invasive epithelial ovarian cancer, we sought to examine whether overall survival was associated with common inherited variation in candidate genes and genomic regions including those involved in angiogenesis, mitosis, and regions of interest from genome-wide association and expression studies. We conducted a two-stage analysis based on Mayo Clinic patients with replication of peak results in the Cancer Genome Atlas (TCGA). Ovarian cancer patients (N=312) seen at the Mayo Clinic diagnosed from 1999 to 2006 with median follow-up of 3.7 years (range, 0.1 − 9.5 years) and 172 observed deaths were analyzed at 993 single nucleotide polymorphisms (SNPs) in 179 genes. For all patients and for serous patients only (N=192 with 129 observed deaths), Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for each SNP, adjusted for other prognostic factors. Twenty-nine SNPs in ten genes revealed p < 0.01 among all cases or among serous cases only, including 21 independent SNP at r2=0.9; analyses within four genes (HGF, PLG, PRKACB, and DCTN5) yielded p < 0.001. The strongest result was in HGF at rs1800793 (all cases: HR 1.7, 95% CI 1.3 − 2.2, p-trend 1.9 E-5; serous cases: HR 1.6, 95% CI 1.2 − 2.2, p-trend 1.8 E-3). A correlated SNP rs2214825 also showed association (r2=0.76; all cases: HR 1.4, 95% CI 1.1 − 1.8, p-trend 3.3 E-3; serous cases: HR 1.4, 95% CI 1.0 − 1.9, p-trend 0.03), and PCA gene-level tests of the HGF locus were also significantly associated with survival (all cases, p=3.7 E-4; serous cases, p=0.01). Among all cases, differential survival was also associated with DCTN5 rs12447304 (HR 1.8, 95% CI 1.3-2.6; p=7.1 E-4), and among serous cases, with PLG rs783173 (HR 1.6, 95% CI 1.2 − 2.0, p = 8.1 E-4) and PRKACB rs1402694 (HR 1.7, 95% CI 1.3 − 2.2, p=3.2 E-4). We then examined SNPs in the most suggestive gene, HGF, using data from TCGA which had genotyped four overlapping HGF SNPs in 350 invasive cases (188 deaths). Covariate-adjusted TCGA analysis at rs2214825 revealed consistent results (HR 1.7, 95% CI 1.3-2.2, p=1.4 E-4) as did analyses of three other HGF SNPs (HR range 1.3 to 1.5, p range 3.4 E-3 to 0.049); correlation between SNP genotypes and HGF expression was also observed (p=1.4 E-3, rs2214825, probe 210997_at). While this is the first report of SNPs in HGF, it has long been known that the HGF signaling pathway, activated by HGF ligation of c-MET, plays a key role ovarian cancer cell growth, migration, and invasion. c-MET is overexpressed in 40%-60% of ovarian tumors, and high overexpression is associated with lower overall survival. In addition, HGF has been shown to enhance the response of ovarian cancer cells to low doses of paclitaxel and cisplatin by activating the intrinsic apoptotic pathway, leading to cancer cell death. These results now suggest that inherited differences in HGF among women with invasive disease may play a role in survival, holding potential clues for tailored avenues of treatment. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 897.

Abstract Background: We previously identified a panel of genes associated with outcome of ovarian cancer. The purpose of the current study was to assess whether variants in these genes correlated with ovarian cancer risk. Methods and Findings: Women with and without invasive ovarian cancer (749 cases, 1,041 controls) were genotyped at 136 single nucleotide polymorphisms (SNPs) within 13 candidate genes. Risk was estimated for each SNP and for overall variation within each gene. At the gene-level, variation within MSL1 (male-specific lethal-1 homolog) was associated with risk of serous cancer (p=0.03); haplotypes within PRPF31 (PRP31 pre-mRNA processing factor 31 homolog) were associated with risk of invasive disease (p=0.03). MSL1 rs7211770 was associated with decreased risk of serous disease (OR 0.81, 95% CI 0.66-0.98; p=0.03). SNPs in MFSD7, BTN3A3, ZNF200, PTPRS, and CCND1A were inversely associated with risk (p<0.05), and there was increased risk at HEXIM1 rs1053578 (p=0.04, OR 1.40, 95% CI 1.02-1.91). Conclusions: Tumor studies can reveal novel genes worthy of follow-up for cancer susceptibility. Here, we found that inherited markers in the gene encoding MSL1, part of a complex that modifies the histone H4, may decrease risk of invasive serous ovarian cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4718.