Citations

Abstract Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10−8 seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type–specific expression quantitative trait locus and enhancer–gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10−5 in the three-cancer meta-analysis. Significance: We demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052–67. ©2016 AACR. This article is highlighted in the In This Issue feature, p. 932

ABSTRACTRare variants (RVs) have been shown to be significant contributors to complex disease risk. By definition, these variants have very low minor allele frequencies and traditional single‐marker methods for statistical analysis are underpowered for typical sequencing study sample sizes. Multimarker burden‐type approaches attempt to identify aggregation of RVs across case‐control status by analyzing relatively small partitions of the genome, such as genes. However, it is generally the case that the aggregative measure would be a mixture of causal and neutral variants, and these omnibus tests do not directly provide any indication of which RVs may be driving a given association. Recently, Bayesian variable selection approaches have been proposed to identify RV associations from a large set of RVs under consideration. Although these approaches have been shown to be powerful at detecting associations at the RV level, there are often computational limitations on the total quantity of RVs under consideration and compromises are necessary for large‐scale application. Here, we propose a computationally efficient alternative formulation of this method using a probit regression approach specifically capable of simultaneously analyzing hundreds to thousands of RVs. We evaluate our approach to detect causal variation on simulated data and examine sensitivity and specificity in instances of high RV dimensionality as well as apply it to pathway‐level RV analysis results from a prostate cancer (PC) risk case‐control sequencing study. Finally, we discuss potential extensions and future directions of this work.

Immune-related Adverse Events (irAEs) are the most significant toxicities associated with the use of checkpoint inhibitors, and result from disinhibition of the host’s immune homeostasis. The adverse effects experienced from immunotherapy are significantly different from those of chemotherapy and, to a lesser extent, targeted therapy. Early recognition and diagnosis of these toxicities is often challenging, but is critically important because of the potentially life-threatening nature and associated morbidity. Gastrointestinal, dermatologic, endocrine, and liver toxicities are the most commonly observed. Less commonly, the eyes, pancreas, kidneys, lungs, bone marrow, or nervous system may be affected. Although most irAEs may resolve with supportive care or discontinuation of drug, in severe cases, they may require hospitalization and immune suppressants, such as steroids, and/or may even cause death. The management of immune-related side effects requires a multidisciplinary approach.

Circulating insulin‐like growth factors (IGFs) and their binding proteins (IGFBPs) are associated with prostate cancer. Using genetic variants as instruments for IGF peptides, we investigated whether these associations are likely to be causal. We identified from the literature 56 single nucleotide polymorphisms (SNPs) in the IGF axis previously associated with biomarker levels (8 from a genome‐wide association study [GWAS] and 48 in reported candidate genes). In ∼700 men without prostate cancer and two replication cohorts (N ∼ 900 and ∼9,000), we examined the properties of these SNPS as instrumental variables (IVs) for IGF‐I, IGF‐II, IGFBP‐2 and IGFBP‐3. Those confirmed as strong IVs were tested for association with prostate cancer risk, low (< 7) vs. high (≥ 7) Gleason grade, localised vs. advanced stage, and mortality, in 22,936 controls and 22,992 cases. IV analysis was used in an attempt to estimate the causal effect of circulating IGF peptides on prostate cancer. Published SNPs in the IGFBP1/IGFBP3 gene region, particularly rs11977526, were strong instruments for IGF‐II and IGFBP‐3, less so for IGF‐I. Rs11977526 was associated with high (vs. low) Gleason grade (OR per IGF‐II/IGFBP‐3 level‐raising allele 1.05; 95% CI: 1.00, 1.10). Using rs11977526 as an IV we estimated the causal effect of a one SD increase in IGF‐II (∼265 ng/mL) on risk of high vs. low grade disease as 1.14 (95% CI: 1.00, 1.31). Because of the potential for pleiotropy of the genetic instruments, these findings can only causally implicate the IGF pathway in general, not any one specific biomarker.

SummaryBackgroundMatrix metalloproteinase‐9 is a proteolytic enzyme whose expression is increased in ulcerative colitis.AimTo evaluate the safety and efficacy of GS‐5745, a fully humanised anti‐matrix metalloproteinase‐9 monoclonal antibody, in moderately‐to‐severely active ulcerative colitis.MethodsWe randomised 74 patients with ulcerative colitis to treatment with single or multiple ascending intravenous or subcutaneous doses of GS‐5745 or placebo. Multiple‐dose cohorts received either IV infusions (0.3, 1.0, 2.5 or 5.0 mg/kg GS‐5745 or placebo) every 2 weeks (three total IV infusions) or five weekly SC injections (150 mg GS‐5745 or placebo). The primary outcomes were the safety, tolerability and pharmacokinetics of escalating single and multiple doses of GS‐5745. Exploratory analyses in the multiple‐dose cohorts included clinical response (≥3 points or 30% decrease from baseline in Mayo Clinic score and ≥1 point decrease in the rectal bleeding subscore or a rectal bleeding subscore ≤1) and clinical remission (a complete Mayo Clinic score ≤2 with no subscore >1) at Day 36. Biological effects associated with a clinical response to GS‐5745 were explored using histological and molecular approaches.ResultsTwenty‐three of the 42 patients (55%) receiving multiple doses of GS‐5745 had adverse events, compared with 5/8 patients (63%) receiving placebo. GS‐5745 showed target‐mediated drug disposition, approximately dose‐proportional increases in maximum plasma concentration and more than dose‐proportional increases in the area under the plasma drug concentration‐time curve. Clinical response occurred in 18/42 patients (43%) receiving GS‐5745 compared with 1/8 patients (13%) receiving placebo. Clinical remission occurred in 6/42 patients (14%) receiving GS‐5745 and 0/8 (0%) receiving placebo. Patients with a clinical response to GS‐5745 had reductions in matrix metalloproteinase‐9 tissue levels (mean 48.9% decrease from baseline compared with a mean 18.5% increase in nonresponders, P = 0.008) significant improvements in histopathology scores (confirmed with three separate histological disease activity indices), as well as changes in colonic gene expression that were consistent with reduced inflammation.ConclusionThis phase 1 trial provides preliminary evidence for the safety and therapeutic potential of GS‐5745 in the treatment of ulcerative colitis.

Abstract Despite advances in prevention and early detection strategies, colorectal cancer (CRC) remains the second leading cause of cancer death in the United States. The majority of CRC arises from adenomatous polyps. However, only 5% of all people who receive a colonoscopy will have a lesion determined to be at high risk for malignant transformation. Adenomas are primarily classified based on histology, size, degree of dysplasia and limited genetic mutation information. Further characterization of what contributes to or underlies the malignant transformation of polyps is currently lacking, but is essential to further understand the transition from polyp to cancer and factors that lead only a small portion of polyps to progress onto cancer. Although telomere length is a recognized biomarker in multiple cancers, few studies have addressed the comprehensive role of telomeres in CRC progression. Telomere shortening is a fundamental feature of dividing cells related to the age of the cell and is implicated in carcinogenesis. Telomere length is not solely determined by attrition resulting from cell division, but also through telomere maintenance mechanisms (TMM), which are often exploited in malignant cells. In this study, we will measure the telomere profile (consisting of telomere length and TMM) in normal colon epithelium, polyps and the adjacent tumor trios and normal colon epithelium and cancer-free polyp pairs. Our aim is to determine which telomere features distinguish cancer adjacent polyps from cancer free polyps. This is an innovative approach for identifying the definable telomere-related properties that distinguish polyps with malignant potential that remain benign from those that transform to cancer and progress to invasive lesions. Further characterization of the molecular profile of polyps undergoing the transition to cancer that differentiate cancer free polyps has the potential to be utilized in designing optimal treatment options for patients with polyps that carry the risk of CRC. Citation Format: Brooke R. Druliner, Ruth Johnson, Xiaoyang Ruan, Russell Vanderboom, Donna Felmlee Devine, Jill Washechek Aletto, Lisa A. Boardman. Time lapse to cancer: Defining the transition from polyp to colorectal cancer based on telomere metrics. [abstract]. In: Proceedings of the AACR Special Conference on Computational and Systems Biology of Cancer; Feb 8-11 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 2):Abstract nr B2-04.

Abstract Introduction: Activation of telomerase and telomere lengthening in patient peripheral blood leukocytes (PBL) is associated with longer survival in cancer patients. There are few studies to date that have measured telomerase activity in clinical PBL samples, and it is unclear how initial collection and processing of PBL samples impact the measurement of telomerase activity. In this study, we assessed if telomerase activity measurement varies based on the method of blood collection, processing and storage. Methods: We first collected whole blood drawn in EDTA tubes from two healthy patients that were then processed three different ways. The first whole blood sample was spun down and the buffy coat was pipetted from the top of the red blood cells, and then placed directly into the -80°C freezer. The next two whole blood samples were isolated using an ACCUSPIN™ tube, which utilizes density gradient separation to recover the PBL without contamination of red blood cells. The resulting PBL from these two samples were suspended in freezing media containing RPMI and DMSO, with one sample also containing penicillin streptomycin glutamine, and then both samples were stored in liquid nitrogen following a slow freeze. We then measured enzymatic telomerase activity in each of the three PBL samples from the two different patients. Results: We detected a comparable level of telomerase activity in all three PBL samples. These findings indicate that telomerase activity can be measured in buffy coat samples from patients independent of how the samples were processed and stored. Conclusions: These findings are important because many biorepositories may not have collected or processed PBL samples by identical processes, therefore not allowing direct comparison across samples. Additionally, our finding that telomerase activity levels are comparable between PBL samples containing red blood cells and those processed using an ACCUSPIN™ tube is valuable because it eliminates the necessity for the extra cost of the ACCUSPIN™ tube, freezing media, antibiotics and use of liquid nitrogen storage tanks. Future studies will focus on the determining the relationship of telomerase activity between the PBL, normal colon and cancer tissue in colorectal cancer patients. Citation Format: Ruth A. Johnson, Brooke R. Druliner, Jill Washechek Alleto, Donna Felmlee Devine, Xiaoyang Ruan, Russell Vanderboom, Lisa A. Boardman. How collection, processing and storage of PBL samples impact the measurement of telomerase activity. [abstract]. In: Proceedings of the AACR Special Conference on Computational and Systems Biology of Cancer; Feb 8-11 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 2):Abstract nr B1-46.

Objective The objective of this study was to provide recommendations for provision of training for sponsor and investigators at Academic Health Centers. Background A subgroup of the Investigational New Drug/Investigational Device Exemption (IND/IDE) Task Force of the Clinical and Translational Science Award (CTSA) program Regulatory Knowledge Key Function Committee was assembled to specifically address how clinical investigators who hold an IND/IDE and thus assume the role of sponsor-investigators are adequately trained to meet the additional regulatory requirements of this role. Methods The participants who developed the recommendations were representatives of institutions with IND/IDE support programs. Through an informal survey, the task force determined that a variety and mix of models are used to provide support for IND/IDE holders within CTSA institutions. In addition, a CTSA consortium-wide resources survey was used. The participants worked from the models and survey results to develop consensus recommendations to address institutional support, training content, and implementation. Recommendations The CTSA IND/IDE Task Force recommendations are as follows: (1) Institutions should assess the scope of Food and Drug Administration–regulated research, perform a needs analysis, and provide resources to implement a suitable training program; (2) The model of training program should be tailored to each institution; (3) The training should specifically address the unique role of sponsor-investigators, and the effectiveness of training should be evaluated regularly by methods that fit the model adopted by the institution; and (4) Institutional leadership should mandate sponsor-investigator training and effectively communicate the necessity and availability of training.