Citations

A small number of common susceptibility loci have been identified for pancreatic cancer, one of which is marked by rs401681 in the TERT–CLPTM1L gene region on chromosome 5p15.33. Because this region is characterized by low linkage disequilibrium, we sought to identify whether additional single nucleotide polymorphisms (SNPs) could be related to pancreatic cancer risk, independently of rs401681. We performed an in‐depth analysis of genetic variability of the telomerase reverse transcriptase (TERT) and the telomerase RNA component (TERC) genes, in 5,550 subjects with pancreatic cancer and 7,585 controls from the PANcreatic Disease ReseArch (PANDoRA) and the PanScan consortia. We identified a significant association between a variant in TERT and pancreatic cancer risk (rs2853677, odds ratio = 0.85; 95% confidence interval = 0.80–0.90, p = 8.3 × 10−8). Additional analysis adjusting rs2853677 for rs401681 indicated that the two SNPs are independently associated with pancreatic cancer risk, as suggested by the low linkage disequilibrium between them (r2 = 0.07, D′ = 0.28). Three additional SNPs in TERT reached statistical significance after correction for multiple testing: rs2736100 (p = 3.0 × 10−5), rs4583925 (p = 4.0 × 10−5) and rs2735948 (p = 5.0 × 10−5). In conclusion, we confirmed that the TERT locus is associated with pancreatic cancer risk, possibly through several independent variants.

ABSTRACT Emerging antimicrobial resistance in members of the Bacteroides fragilis group is a concern in clinical medicine. Although metronidazole and carbapenem resistance have been reported in Bacteroides thetaiotaomicron , a member of the B. fragilis group, they have not, to the best of our knowledge, been reported together in the same B. thetaiotaomicron isolate. Herein, we report isolation of piperacillin-tazobactam-, metronidazole-, clindamycin-, ertapenem-, and meropenem-resistant B. thetaiotaomicron from a patient with postoperative intra-abdominal abscess and empyema. Whole-genome sequencing demonstrated the presence of nimD with at least a portion of IS 1169 upstream, a second putative nim gene, two β-lactamase genes (one of which has not been previously reported), two tetX genes, tetQ , ermF , two cat genes, and a number of efflux pumps. This report highlights emerging antimicrobial resistance in B. thetaiotaomicron and the importance of identification and antimicrobial susceptibility testing of selected anaerobic bacteria.

Abstract Myeloma remains a virtually incurable malignancy. The inevitable evolution of multidrug-resistant clones and widespread clonal heterogeneity limit the potential of traditional and novel therapies to eliminate minimal residual disease (MRD), a reliable harbinger of relapse. Here, we show potent anti-myeloma activity of macrophage-activating immunotherapy (αCD40+CpG) that resulted in prolongation of progression-free survival (PFS) and overall survival (OS) in an immunocompetent, preclinically validated, transplant-based model of multidrug-resistant, relapsed/refractory myeloma (t-Vκ*MYC). αCD40+CpG was effective in vivo in the absence of cytolytic natural killer, T, or B cells and resulted in expansion of M1-polarized (cytolytic/tumoricidal) macrophages in the bone marrow. Moreover, we show that concurrent loss/inhibition of Tpl2 kinase (Cot, Map3k8), a MAP3K that is recruited to activated CD40 complex and regulates macrophage activation/cytokine production, potentiated direct, ex vivo anti-myeloma tumoricidal activity of αCD40+CpG–activated macrophages, promoted production of antitumor cytokine IL12 in vitro and in vivo, and synergized with αCD40+CpG to further prolong PFS and OS in vivo. Our results support the combination of αCD40-based macrophage activation and TPL2 inhibition for myeloma immunotherapy. We propose that αCD40-mediated activation of innate antitumor immunity may be a promising approach to control/eradicate MRD following cytoreduction with traditional or novel anti-myeloma therapies. Cancer Immunol Res; 3(8); 881–90. ©2015 AACR.

Abstract Background: The AAA-ATPase p97/VCP facilitates the extraction and degradation of ubiquitinated proteins by converting chemical energy into mechanical force. p97 is closely involved in several facets of protein homeostasis, including ubiquitin-dependent protein degradation, endoplasmic reticulum-associated degradation (ERAD) and autophagy. p97 has been increasingly linked to cancer: it showed elevated protein expression in tumors, it can mediate the degradation of proteins in cancer-relevant pathways and is required for orchestrating the ubiquitin-governed DNA-damage response. In this context, p97 inhibitors may have an advantage versus other protein homeostasis inhibitors and may be active in solid tumors where 26S proteasome inhibitors, bortezomib and carfilzomib, have shown poor efficacy. We report here p97 inhibition as a novel approach to exploit cancer cell addiction to protein homeostatic mechanisms. Results: We have discovered novel small molecule inhibitors of p97 ATPase activity with nanomolar enzymatic and cellular potency. In cellular models, treatment of cancer cells with our lead compound CB-5083 causes disruptions in specific p97 functions, including ubiquitin-dependent protein degradation, ERAD, endocytosis and autophagy. In mouse models, CB-5083 is orally bio-available and causes rapid and sustained accumulation of poly-ubiquitin in tumor xenografts after a single administration. Concurrent with increases in polyubiquitin levels, activation of ER stress response pathways and induction of apoptosis markers are also observed. Sub-chronic oral administration of CB-5083 is generally well-tolerated with <10% body weight loss and results in potent tumor growth inhibition in several solid tumor xenograft models. This result is in marked contrast to proteasome inhibitors that are inactive in the same solid tumor models. In the Vk*MYC transgenic mouse model of multiple myeloma, CB-5083 treatment resulted in >50% reduction in M-spike. Additional efforts are focused on the development of translational assays to monitor p97 target engagement and antitumor efficacy in upcoming clinical trials of CB-5083. Conclusion: These data demonstrate that CB-5083 is a potent inhibitor of p97 that translates to tumor growth inhibition in multiple rodent models of human cancer. Furthermore, CB-5083 appears to exhibit greater potency over current proteasome inhibitors that further validate targeting p97 and protein homeostasis in the treatment of cancer. Citation Format: Ronan Le Moigne, Steve Wong, Ferdie Soriano, Eduardo Valle, Daniel J. Anderson, Stevan Djakovic, Mary-Kamala Menon, Bing Yao, Julie Rice, Jinhai Wang, Szerenke Kiss Von Soly, Brajesh Kumar, Marta Chesi, P. Leif Bergsagel, Han-Jie Zhou, David Wustrow, Mark Rolfe, F. Michael Yakes. CB-5083 is a novel first in class p97 inhibitor that disrupts cellular protein homeostasis and demonstrates anti-tumor activity in solid and hematological models. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 951. doi:10.1158/1538-7445.AM2014-951

Abstract Background: Common genetic variants identified by genome-wide association studies and follow-up genotyping initiatives only explain a small proportion of the heritability of epithelial ovarian cancer (EOC). We hypothesized that some of the missing heritability may be explained by rare (minor allele frequency (MAF) <0.5%) and low-frequency (MAF 0.5-5%) protein-coding variants that are not well captured by genotyping arrays that focus on common variants. Methods: To examine the association between uncommon variants and EOC susceptibility, we genotyped 7,060 EOC cases and 6,712 controls from the Ovarian Cancer Association Consortium using the Affymetrix Axiom Exome Genotyping Array. This platform contains 300,785 putative functional coding variants selected from exome sequences of 12,000+ individuals representing multiple ethnicities and complex traits. After performing quality control (QC), we used unconditional logistic regression treating the number of minor alleles carried as an ordinal variable (log-additive model) to evaluate SNP-EOC risk associations. Genotype cluster plots were visually inspected for top-ranking variants to determine assay success, and allele frequencies of samples from the 1000 Genomes Project and other cohorts were evaluated for QC purposes. Results: A total of 13,318 samples (97%) passed QC, and 12,779 eligible samples (6,293 invasive serous and endometrioid cases and 6,486 controls) were included in the analyses. 280,737 (93%) of the 300,785 attempted markers were successfully genotyped and had call rates >90%. After removing 31,436 monomorphic markers, the 249,301 remaining markers were included in association analyses. We confirmed variants at previously reported EOC susceptibility loci (9p22, 3q25, 17cen-q21.3, and 8q24), with p-values between 10-5 and 10-11. Several correlated low-frequency non-synonymous variants (MAF=5%) residing in a novel EOC susceptibility gene at 3q25.31 were risk-associated. The most significant variant at 3q25.31 had an OR=1.36 and p = 5.58x10-8. Also noteworthy is a rare variant at 15q15.1-q21.1 (MAF=0.5%) that introduces a stop codon in a gene belonging to the tyrosine kinase family (OR=0.39, CI=0.26-0.58, p = 4.52x10-6). We also identified a more common synonymous coding variant in a phosphatase at 6q21.3 that was associated with increased risk (OR=1.22, CI=1.13-1.33, p = 1.84x10-6, MAF=9.6%). Population stratification and gene-based analyses are underway to further examine the impact of the newly-identified variants on EOC risk. A meta-analysis to include data from an additional 2104 EOC cases and 2516 controls genotyped with Illumina's HumanExome Beadchip rare variant array is also underway. Functional analysis of the most promising variants will follow. Conclusions: Preliminary data from this large-scale study reveals novel rare and low-frequency variants that may influence susceptibility to epithelial ovarian cancer. Citation Format: Jennifer Permuth-Wey, Y. Ann Chen, Zhihua Chen, Andrew Berchuck, Georgia Chenevix-Trench, Jennifer Doherty, Simon Gayther, Ellen L. Goode, Edwin Iversen, Alvaro N.A. Monteiro, Leigh Pearce, Paul D.P. Pharoah, Catherine M. Phelan, Ailith Pirie, Susan Ramus, Mary Ann Rossing, Joellen M. Schildkraut, Thomas A. Sellers, on behalf of the Ovarian Cancer Association Consortium. Exome genotyping array identifies rare and low-frequency variants that may be associated with ovarian cancer risk. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 946. doi:10.1158/1538-7445.AM2014-946

Abstract Purpose: Mammographic breast density is an established and strong risk factor for breast cancer. Recently, a number of common genetic susceptibility loci have been identified as risk factors for breast cancer. We present the first report on the relative contribution of 76 validated breast cancer susceptibility loci, in the context of a polygenic risk score (PRS), to the breast density and breast cancer association. We also examine whether the PRS improves prediction of the Breast Cancer Surveillance Consortium (BCSC) 5-year risk model above and beyond breast density and clinical factors included in the model. Methods: The study population included 1643 cases and 2397 controls from three independent epidemiologic studies: the Mayo Mammography Health Study (MMHS), the Mayo Clinic Breast Cancer Study (MCBCS), and the Bavarian Breast Cancer Cases and Control Study (BBCC). Data collected on patients in each of the studies included clinical risk factor, BI-RADS breast density [a) almost entirely fat; b) scattered fibroglandular densities; c) heterogeneously dense; and d) extremely dense] and genotypes for the 76 breast cancer susceptibility loci known at the time of the study. We formed a PRS from the reported per-SNP odds ratios (OR) for 76 known breast cancer susceptibility loci, and evaluated whether BI-RADS density and the PRS were independent risk factors for breast cancer, when adjusted for age, 1/BMI and study. We also incorporated the PRS (OR) into the BCSC 5-year risk model and estimated 5-year risk for the MMHS nested case-control study of 339 invasive cases, 765 controls. Results: BI-RADS density (p<0.0001) and PRS (p<0.0001) were independent risk factors for breast cancer that together showed greater discrimination of risk (AUC=0.69) than density (AUC=0.66; ΔAUC=0.029) or PRS score alone (AUC=0.68; ΔAUC=0.013; p<0.001). Relative to those with scattered fibroglandular densities and average (2nd quartile) PRS, women with extremely dense breasts and in the highest PRS quartile, had a 2.7 fold (95%CI: 1.7-4.1) increased risk of breast cancer, while those with fatty breasts and in the lowest PRS quartile had a reduced risk (OR=0.30, 95%CI: 0.18-0.51). Incorporation of the PRS into the BCSC risk model improved discrimination (ΔAUC=0.031, p=0.001), for a net reclassification improvement of 20% (95%CI: 11%-28%), split equally among cases (9%) and controls (11%). Conclusion: BI-RADS density and the PRS are both important risk factors for breast cancer that can be included in breast cancer risk models to improve prediction of this disease. Using these models to identify high and low-risk risk groups will facilitate improved tailored screening and primary prevention interventions. Citation Format: Celine M. Vachon, V. Shane Pankratz, Christopher G. Scott, Lothar Haeberle, Elad Ziv, Matthew R. Jensen, Kathleen R. Brandt, Dana H. Whaley, Janet E. Olson, Katharina Heusinger, Carolin C. Hack, Sebastian M. Jud, Matthias W. Beckmann, Jeffrey A. Tice, Kristen S. Purrington, Thomas A. Sellers, Karla Kerlikowske, Peter A. Fasching, Fergus J. Couch. The contribution of common breast cancer susceptibility loci to the breast density and breast cancer association and the Breast Cancer Surveillance Consortium (BCSC) risk model. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 940. doi:10.1158/1538-7445.AM2014-940

Abstract It is widely appreciated that early detection is the key to making inroads in the fight against cancers. Despite the availability of endoscopic screening, compliance is poor. The diagnosis of CRC is often made in advanced stages, and the consequence is a dismal 50% five year survival across all CRC. There is urgent need for biomarkers with performance that can meet the need of early diagnosis. Like most cancers, colorectal cancers (CRCs) express tumor antigens that can induce humoral immune response. The identification of the autoantibodies against tumor antigens may facilitate early diagnosis of CRC. The goal for this pilot project was to demonstrate the feasibility of discovering autoantibody biomarkers for colorectal cancer using Nucleic Acid Programmable Protein Arrays (NAPPA). Autoantibodies in serum samples collected from 40 patients with DNA mismatch repair proficient colorectal cancer who had died of their cancer within 18 months of their blood draw and from 40 age-gender matched healthy controls were profiled on NAPPA arrays with randomly selected 2000 human protein. The fact that p53, a tumor antigen that has been previously reported to be related to various cancers including CRC, was one of the top candidates based on the statistical analysis demonstrates the validity of our discovery platform. Besides p53, thirty-one candidate antigens were identified to have sensitivity greater than or equal to 25% at 95% specificity and fifty-one candidate antigens had an area under the ROC curve (AUC) equal to or greater than 0.6. Validation of the combined 83 unique genes selected based on these two different data analysis methods in an independent sample set in a blind fashion is on-going. This pilot study using late stage cancer samples demonstrates the feasibility and power of an immunoproteomics study using protein arrays. This approach may rapidly lead to identification of markers that could have relevance in monitoring disease progression as well as in early cancer detection. Citation Format: Gokhan Demirkan, Leah Soderberg, Garrick Wallstrom, Emily Szeto, Kristi Barker, Jie Wang, Joshua LaBaer, Noralane M. Lindor, Ji Qiu. Proteome scale identification of autoantibody biomarkers in colorectal cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 887. doi:10.1158/1538-7445.AM2014-887

Abstract O6 methylguanine DNA methyltransferease (MGMT) is overexpressed in majority of cancers including pancreatic cancer. MGMT has been the focus of significant research for its role in the repair of DNA damage caused by alkylating agents. In the present study, we tested the administration of the MGMT inhibitor O6-benzylguanine (BG) at non-toxic doses in combination with an alkylator TMZ (temozolomide) on pancreatic cancer cells (L3.6 pl and PANC1) in cell culture and xenograft model. Here, we report that TMZ decreases pancreatic cancer cell growth in a dose dependent manner. BG further sensitizes pancreatic cancer cells to TMZ and significantly inhibits pancreatic cancer growth. We also report that BG, either alone or in combination with TMZ, inhibits the expression of MGMT, Ki-67 and BIRC5 (survivin), which are involved in pancreatic tumorigenesis and cell division, and induces the expression of p21cip1 cell cycle inhibitor. Microarray analysis revealed that BG significantly decreased the transcription of a group of proto-oncogenes, growth factors, cell cycle and overall transcription regulators involved in tumorigenesis like ARHGDIB, IGFL1, KIF20A, CA9, MMP10 and E2F2 and increased the transcription of a variety of genes involved in tissue differentiation, cell cycle regulation and invasion inhibitors like GDF15, CDKN1A and TIMP1. In our pancreatic cancer xenograft model, BG +/- TMZ significantly inhibited pancreatic tumor growth in vivo compared to single agent TMZ or controls. Further, BG promotes p53 function leading to growth inhibition, in part substantiating the underlying mechanism of BIRC5 (survivin) inhibition and p21cip1 induction. In conclusion, our findings suggest that MGMT inhibition may potentially provide a novel therapeutic approach in pancreatic cancer by opening the option of using (oral) alkylators like TMZ. Citation Format: George C. Bobustuc, Jonathan Ticku, Anand Patel, Kalkunte S. Srivenugopal, Santhi D. Konduri. O6 methylguanine DNA methyltransferase inhibition sensitizes pancreatic cancer cells to temozolomide. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 810. doi:10.1158/1538-7445.AM2014-810