Citations

Objective. To evaluate whether hyperuricemia is a risk factor for cardiovascular disease (CVD) in patients with rheumatoid arthritis (RA).Methods. A population-based inception cohort of patients diagnosed between 1980 and 2007 with adult-onset RA was assembled. A comparison cohort of age- and sex-matched subjects without RA (non-RA) was also assembled. All clinically obtained uric acid values were collected. CVD and noncardiac vascular events were recorded for each patient. Cox proportional hazards models were used to assess the impact of hyperuricemia on development of CVD, mortality, and noncardiac vascular disease.Results. In patients without RA, hyperuricemia was associated with heart failure (HR: 1.95; 95% CI: 1.13–3.39) and CVD (HR: 1.59; 95% CI: 0.99–2.55). In patients with RA, hyperuricemia was not significantly associated with CVD but was significantly associated with peripheral arterial events (HR: 2.52; 95% CI: 1.17–5.42). Hyperuricemia appeared to be more strongly associated with mortality among RA patients (HR: 1.96; 95% CI: 1.45–2.65) than among the non-RA subjects (HR: 1.57; 95% CI: 1.09–2.24).Conclusion. In patients with RA, hyperuricemia was a significant predictor of peripheral arterial events and mortality but not of CVD.

Abstract Background: Gliomas are primary malignant brain tumors with significant morbidity and mortality. Single nucleotide polymorphisms (SNPs) mapped to 8q24 have been shown to be associated with glioma development. Recently, we identified seven SNPs (through tag SNP genotyping/imputation, pooled next-generation sequencing using long-range PCR, and validation SNP genotyping) that are highly associated with the risk of developing glioma. After stratifying by histologic and tumor subtype, one SNP, rs55705857, in the 8q24.21 region near CCDC26 was significantly associated with oligodendroglial tumors and IDH mutated astrocytic gliomas with high odds ratios (ORs ∼6.0) (Jenkins et al. Nature Genet. 44:1122;2012). By array comparative genomic hybridization (aCGH), a significant proportion of oligodendroglial tumors and IDH mutated astrocytomas have been shown to duplicate 8q24 (Kitange et al., Genes Chr Cancer 42:68;2005; Nousmehr et al. Cancer Cell 17:510;2010). We were interested in learning if the germline risk allele of rs55705857 is associated with gliomas that duplicate 8q24. We were also interested in learning if the risk allele is preferentially gained in gliomas that duplicate 8q24. Methods: We performed aCGH on 217 tumor samples. rs55705857 germline genotype was available on 120 of the patients; of which 30 carried the risk (G) allele. In addition, we sequenced the rs55805857 region in 48 gliomas, 15 of which exhibited gain or duplication of chromosome 8, 8q, or 8q24. The ratio of the Sanger-sequencing peak heights at and around rs55705857 was used to determine which allele (risk or wild-type) was gained. Results: All 15 duplications included rs55705857 and the immediately adjacent regions. Of the 30 patients who carried the germline risk (G) allele for rs55707857, 8 (26.7%) exhibited duplication of 8q24 upon aCGH analysis of their glioma. Of the 90 patients who only carried the wild-type (A) allele, 7 (7.5%) exhibited duplications of 8q24 upon aCGH analysis of their glioma. This difference in proportion is statistically significant (p=0.024, Fischer exact test). Of the 15 tumors with duplication of 8q24, 8 came from patients who were germline rs55705857 heterozygotes (AG). Of these 8 germline heterozygotes with duplication of 8q24, 4 gained the risk (G) allele, 2 gained the wild-type (A) allele and 2 exhibited gain of both alleles in their tumor specimens. Conclusions: While the results require replication, our data suggest that carrying the risk allele for rs55705857 predisposes to the development of gliomas that subsequently duplicate 8q24. However, gliomas with duplication of 8q24 do not preferentially gain the risk rs55705857 allele. This result implies that, while the duplication always includes the rs55705857 region, the risk allele or region is not the direct target of the duplication. Citation Format: Amanda L. Rynearson, Kirsten A. Schowalter, Stephanie R. Fink, Thomas M. Kollmeyer, Chandralekha Halder, Gobinda Sarkar, Alissa A. Caron, Rachel A. Pauley, Daniel H. Lachance, Brian Patrick O'Neill, Robert B. Jenkins. The germline rs55705857 risk allele is not preferentially gained in gliomas with 8q24 duplication. [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 4207. doi:10.1158/1538-7445.AM2013-4207

Abstract BACKGROUND Metformin, a widely used anti-diabetic drug, is being considered as a highly promising agent for treatment and prevention of many types of cancer, including breast cancer. Although the exact mechanism of action of metformin is unknown, it is thought that metformin is an AMPK activator. To better individualize metformin therapy and explore additional underlying molecular mechanism associated with metformin action, we conducted a metformin pharmacogenomic study using 266 genomic data-enriched lymphoblastoid cell lines (LCLs). METHODS Genome-wide microarray data were generated for all LCLs, including 1.3 million SNPs, 485K DNA methylation probes and 54K mRNA expression probe sets. Metformin cytotoxicity assay was performed using MTS assay. Genome-wide association (GWA) analyses and integrated analyses using all the genomic data and metformin cytotoxicity (IC50 value) were performed to identify top candidate genes for functional validation in breast cancer cell lines, MDA-MB 231 and Hs578T, using siRNA screening approach. Further mechanistic study was performed to investigate the role of candidates in regulation of AMPK activity. RESULTS GWA analyses in LCLs identified 198 mRNA expression probe sets and 210 DNA methylation probes associated with metformin IC50 with p-value <10-4, respectively. Analysis of 1.3 million SNPs found 12 loci (a region containing at least 1 SNP of p-value <10-5 and 1 SNP of p-value <10-3 within 50kb) that were associated with metformin IC50. Integrated SNP loci-mRNA expression-IC50 analysis indicated that the SNP loci on chromosome 16 was associated with metformin IC50 through a trans-regulation of expression of 7 genes with p-value <10-4. Integrated methylation-mRNA expression-IC50 analysis showed that 15 DNA methylation probes in 6 genes were associated with metformin IC50 through both cis- and trans-regulation of expression of 48 genes with p-value <10-4, including 4 methylation probes in 3 of those 6 genes that were cis-correlated with its own gene expression. Ingenuity pathway analysis of top 62 candidate genes identified four major pathways and 55 genes within those pathways were selected for functional validation in breast cancer cell lines. The knockdown experiment showed that down regulation of 25 genes significantly altered metformin sensitivity in MDA-MB231, and 14 of them also showed the same effect in Hs578T. Preliminary mechanistic experiment indicated that knockdown of 7 genes significantly reduced AMPK activity in MDA-MB231 and 3 of them had same effect in Hs578T. CONCLUSIONS GWAS using a genomic data-enriched LCL model system, together with functional validation in breast cancer cell lines, could help us to identify novel genetic and epigenetic biomarkers involved in metformin response and help us to better understand the mechanisms of metformin in cancer treatment. Citation Format: Nifang Niu, Xianglin Tan, Brooke L. Fridley, Daniel J. Schaid, Ryan P. Abo, Anthony Batzler, Erin E. Carlson, Gregory Jenkins, Sebastian Moran, Holger Andrea Heyn, Manel Esteller Badosa, Liewei Wang. Metformin pharmacogenomics: A genome-wide associate study to identify genetic and epigenetic biomarkers involved in metformin response. [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 2271. doi:10.1158/1538-7445.AM2013-2271

Abstract Background: Women with benign breast disease (BBD) have increased breast cancer risk, and histologic features of the lesion stratify individual risk. We hypothesized that the concentration and type of terminal duct lobular units in BBD tissue is associated with future breast cancer risk. Methods: A nested case-control series of 770 breast cancer cases and 1273 age- and year of biopsy-matched controls was identified within a cohort of 13,647 women with BBD from 1967-2001 (median follow-up 15.3 years). One representative H&E slide from each biopsy was reviewed by a single pathologist, who recorded total # of lobules present, and # of fibrocystic lobules (total and # with epithelial proliferation). Samples were also evaluated for lobular involution and primary BBD histology. Lobule density (LD) was calculated as # of lobules/cm2 in each tissue section. Breast cancer associations with LD's (total, fibrocystic, proliferative) were examined with conditional logistic regression. Odds ratios are reported per 1 SD increase in LD. Results: Each LD measure was significantly associated with involution and primary BBD histology (p<0.0001 for each). Fibrocystic (OR 1.17, 95% CI 1.06-1.28) and proliferative (OR 1.37, 95% CI 1.16-1.61) LD were each associated with case status (p≤0.001) but total LD did not reach significance (OR 1.09, 95% CI 1.0-1.20; p=0.06). LD associations were somewhat attenuated after adjusting for involution (total OR 1.04 p=0.41; fibrocystic OR 1.13 p=0.02; proliferative OR 1.28 p=0.002) and primary BBD histology (total OR 1.04 p=0.49; fibrocystic OR 1.08 p=0.15; proliferative OR 1.18 p=0.07). Conclusions: The density of proliferative lobules in benign breast biopsy tissue is related to other BBD histologic features but may provide additional breast cancer risk stratification among women with proliferative BBD. Additional research will more fully evaluate the ability of this promising novel measure to predict breast cancer risk. Lobule Density Measures (lobules per square cm) All values are Medians Total Lobule Density Fibrocystic Lobule Density Proliferative Lobule Density Overall 17.5 4.5 0.7 Cases 18.1 4.9 1.3 Controls 17.0 4.2 0.4 Primary BBD Histology Nonproliferative disease 16 3.3 0 Proliferative disease 18.6 5.8 2.7 Atypical hyperplasia 20.9 6.2 3.3 Involution Category None 28.7 5.3 1.0 Partial 19.0 5 1.2 Complete 8.5 2.1 0 Citation Format: Amy C. Degnim, Lynn C. Hartmann, Tanya L. Hoskin, Marlene H. Frost, V Shane Pankratz, Derek C. Radisky, Lorelle L. Benetti, Celine M. Vachon, Teresa M. Allers, Robert A. Vierkant, Daniel W. Visscher. Density of breast lobules in benign breast tissue and association with future breast cancer risk. [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 155. doi:10.1158/1538-7445.AM2013-155

Abstract Enzymatic degradation of hyaluronan (HA), a key component of the extracellular matrix (ECM), can enhance tumor perfusion, improve delivery of chemotherapeutics, and enhance the effects of anti-tumor agents. HA accumulation has been correlated with local invasion, the presence of distal metastasis, higher tumor grade, and poorer overall survival. PEGPH20, a pegylated form of recombinant human hyaluronidase PH20, is an investigational therapeutic agent under clinical development for the treatment of patients with solid tumors that may accumulate HA. Preclinical studies have demonstrated that sustained HA removal, accomplished with PEGPH20, inhibits tumor growth and enhances chemotherapeutic activity in HA-rich xenografts and genetically engineered mouse tumor models. Twenty-six patients with advanced solid tumors were enrolled in a Phase 1 multi-center trial. Patients received weekly or twice weekly doses of IV PEGPH20 (0.5 - 5 μg/kg) for the first 4-week cycle, followed by once-weekly dosing for the subsequent 4-week cycles. Serial blood samples were drawn from each patient, and plasma concentrations were measured by an ultrasensitive hyaluronidase activity assay to assess PEGPH20 pharmacokinetics (PK). Plasma levels of HA catabolites were measured using a quantitative HPLC method to characterize PEGPH20 pharmacodynamics (PD). Other measures of PD activity were evaluated in selected patients, including DCE-MRI, DW-MRI, 18FDG-PET, textural analysis on CT, and histochemical staining of HA in tumor biopsies collected both before and after PEGPH20 treatment. Peak plasma PEGPH20 concentrations increased with dose, and plasma pharmacokinetics (PK) were well described by a linear PK model. Pre-treatment plasma HA levels were typically <1 μg/mL and increased in a dose-dependent fashion after PEGPH20 treatment. Increased plasma HA corresponded with decreased HA staining in patients with available tumor biopsies. DCE-MRI analysis indicated early (24-48 hr) and rapid increase in tumor perfusion compared to baseline in 4 patients with serial MRI assessments. Pharmacodynamic activity was also demonstrated when pre-treatment 18FDG-PET scans were compared with images collected at scheduled times after PEGPH20 dosing. Reduction in FDG uptake exceeding 25% was demonstrated in 3 of 4 patients after one cycle of treatment, consistent with a partial metabolic response. These data are consistent with the mechanism of action reported in preclinical models, and results support continued evaluation of PEGPH20 in combination with anti-tumor agents via modification of the ECM. Citation Format: Ping Jiang, Daniel C. Maneval, Ramesh K. Ramanathan, Jeffrey R. Infante, Mitesh Borad, Alberto Bessudo, Patricia LoRusso, Barry J. Sugarman, Deborah Carson, Marie A. Printz, Curtis B. Thompson, Paneer Selvam, Joy Zhu, Ronald Korn, H Michael Shepard, Gregory I. Frost. Phase 1 pharmacodyamic activity of multiple-dose PEGylated hyaluronidase PH20 (PEGPH20) in patients with solid tumors. [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 3375. doi:10.1158/1538-7445.AM2013-3375

Abstract Colorectal cancer (CRC) is estimated to be the third most common cancer in both men and women in the US in 2012, accounting for over 50,000 deaths. Familial CRC accounts for approximately 30% of all CRC, yet only 5% of familial CRCs can be attributed to mutations in known hereditary colon cancer (HCC) genes. Many families with a strong family history of CRC do not have mutations in known CRC genes. Finding the genes underpinning CRC in these families may improve screening for disease and allow the development of more targeted therapeutics. We completed targeted sequencing of over 2,000 genes and miRNAs in 1,500 cases of CRC from the Colon Cancer Family Registry (CCFR) in an effort to identify rare variants associated with CRC risk and to identify mutations in known CRC genes missed by conventional sequencing. Several categories of genes were included: 18 known HCC genes; 18 candidate HCC genes; 185 genes in previously reported CRC linkage peaks; 1,423 miRNAs; and 363 genes identified through whole exome sequencing of 40 affected cases in 16 families with hereditary CRC (n=2,007 total genes sequenced). Genomic DNA samples were indexed, then libraries were made using Agilent's SureSelect Targeted Enrichment kit. Samples were pooled (96 samples/pool), then each pool of samples was run on five lanes on an Illumina HiSeq2000 (average of 19.2 samples/lane). GenomeGPS, an in-house developed workflow, was used for read alignment, variant calling, and annotation. In early analyses of the first 161 cases, the mean number of mapped reads exceeded 20 million per sample and over 90% of the target region exceeded 40x coverage. A total of 26,484 SNPs were identified and passed quality filtering. Sequencing identified known mutations in MMR genes in positive control cases as well as mutations in HCC genes in previously untested cases. Analysis is currently on-going on the remaining samples and we will report results on the full set of 1500 cases at the meeting. Citation Format: Melissa S. DeRycke, Shanaka R. Gunawardena, Sumit Middha, Shannon K. McDonnell, Shaun M. Riska, Zachary C. Fogarty, Bruce W. Eckloff, Daniel J. Schaid, Ellen L. Goode, Stephen N. Thibodeau. Targeted sequencing to identify rare variants in colorectal 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 2548. doi:10.1158/1538-7445.AM2013-2548

Abstract Background: Glioblastomas (GBMs) are aggressive primary brain tumors with high levels of genomic heterogeneity impacting prognosis and treatment response. A recurrent in-frame deletion within the extracellular domain of the epidermal growth factor receptor (EGFR variant III, or vIII) is found in a substantial fraction of GBMs. Methods: The Radiation Therapy Oncology Group (RTOG) 0525 trial of temozolomide dosing in newly-diagnosed GBM enrolled 1174 patients. Of these, 494 eligible GBMs were analyzed for EGFRvIII expression by RT-PCR. The Kaplan-Meier method was used to compare the progression free survival (PFS) and overall survival (OS) of GBMs expressing EGFRvIII with those not expressing EGFRvIII. Results: 142 of 494 tested GBMs (29%) had expressed EGFRvIII. There were no significant differences in PFS or OS between patients whose tumors did (494) or did not (631) undergo EGFRvIII expression analysis. EGFRvIII expression was significantly associated with age (p=0.005), Karnofsky performance status (p=0.02), and RTOG recursive partitioning analysis (RPA) class (p=0.005). EGFRvIII expression analyzed in the entire study population did not reveal an association with PFS or OS. In a univariate subgroup analysis of patients treated on the standard-of-care arm of RTOG-0525, EGFRvIII expression was was significantly associated with worse PFS (HR=1.43, 95% CI: [1.05, 1.96], p=0.025), and worse OS (HR 1.45, 95% CI:[1.03, 2.05], p=0.032). However, in multivariate models, when adjusted for RPA class and MGMT methylation status, EGFRvIII was not an independent predictor of either PFS or OS. Conclusion: For GBMs treated with standard-of-care therapy in RTOG-0525, EGFRvIII expression was associated with worse PFS and OS. However, well-established stratification metrics such as age, KPS, and RPA override this prognostic association, suggesting that trials of therapeutic modalities directed against EGFRvIII should utilize these standard prognostic variables when survival is being analyzed or compared. Project Support: This project was supported by RTOG grant U10 CA21661, and CCOP grant U10 CA37422 from the National Cancer Institute (NCI) and Schering-Plough Corporation. Citation Information: Mol Cancer Ther 2013;12(11 Suppl):A110. Citation Format: Daniel P. Cahill, Asha George, Mark R. Gilbert, Arnab Chakravarti, Roger Stupp, Monika Hegi, Paul Brown, Kurt A. Jaeckle, Benjamin Corn, Erik P. Sulman, Luis Souhami, Maria Werner-Wasik, Bethany M. Anderson, Minesh Mehta, Kenneth D. Aldape. EGFRvIII expression is associated with shorter progression-free and overall survival in glioblastoma patients treated with standard-of-care temozolomide and radiation: A report from the RTOG-0525 trial. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2013 Oct 19-23; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(11 Suppl):Abstract nr A110.

Abstract Objectives: Cellular fibroepithelial lesions (CFELs) are a heterogeneous group of tumors encompassing cellular fibroadenoma (CFA) and phyllodes tumor (PT). Distinction between the two is challenging on core needle biopsy (CNB) specimens. The objective of this study was to evaluate histologic features that can help distinguish PT from CFA on CNB specimens. Methods: Records of all patients diagnosed with CFELs on CNB specimens with follow-up excision between January 2002 and December 2012 were retrieved. Histopathologic stromal features were evaluated on CNB specimens, including mitoses per 10 high-power fields (hpf), overgrowth, increased cellularity, fragmentation, adipose tissue infiltration, heterogeneity, subepithelial condensation, and nuclear pleomorphism. Results: Twenty-seven (42.2%) of 64 were diagnosed as PT (24 benign PTs and three borderline PTs) and 37 (57.8%) as CFA on excision. All features except for increased stromal cellularity were statistically significant. The average number of histologic features seen in PT and CFA was 3.9 and 1.4, respectively (odds ratio [OR], 7.27; 95% confidence interval [CI], 2.44–21.69; P = .0004). The average number of mitoses per 10 hpf was 3.0 for PT compared with 0.8 for CFA (OR, 2.14; 95% CI, 1.18–3.86; P = .01). Conclusions: The presence of mitoses (three or more) and/or total histologic features of three or more on CNB specimens were the most helpful features in predicting PT on excision.

Abstract Anticancer drugs are combined in an effort to treat a heterogeneous tumor or to maximize the pharmacodynamic effect. The development of combination regimens, while desirable, poses unique challenges. These include the selection of agents for combination therapy that may lead to improved efficacy while maintaining acceptable toxicity, the design of clinical trials that provide informative results for individual agents and combinations, and logistic and regulatory challenges. The phase I trial is often the initial step in the clinical evaluation of a combination regimen. In view of the importance of combination regimens and the challenges associated with developing them, the Clinical Trial Design (CTD) Task Force of the National Cancer Institute Investigational Drug Steering Committee developed a set of recommendations for the phase I development of a combination regimen. The first two recommendations focus on the scientific rationale and development plans for the combination regimen; subsequent recommendations encompass clinical design aspects. The CTD Task Force recommends that selection of the proposed regimens be based on a biologic or pharmacologic rationale supported by clinical and/or robust and validated preclinical evidence, and accompanied by a plan for subsequent development of the combination. The design of the phase I clinical trial should take into consideration the potential pharmacokinetic and pharmacodynamic interactions as well as overlapping toxicity. Depending on the specific hypothesized interaction, the primary endpoint may be dose optimization, pharmacokinetics, and/or pharmacodynamics (i.e., biomarker). Clin Cancer Res; 20(16); 4210–7. ©2014 AACR.

Targeting a kinase common to both the EGFR and TNFα signaling pathways may prevent drug resistance in glioblastoma.