Citations

Abstract Background: Many epithelial ovarian cancer (EOC) risk factors relate to hormone exposure and elevated estrogen levels are associated with obesity in postmenopausal women. Therefore, we hypothesized that gene–environment interactions related to hormone-related risk factors could differ between obese and non-obese women. Methods: We considered interactions between 11,441 SNPs within 80 candidate genes related to hormone biosynthesis and metabolism and insulin-like growth factors with six hormone-related factors (oral contraceptive use, parity, endometriosis, tubal ligation, hormone replacement therapy, and estrogen use) and assessed whether these interactions differed between obese and non-obese women. Interactions were assessed using logistic regression models and data from 14 case–control studies (6,247 cases; 10,379 controls). Histotype-specific analyses were also completed. Results: SNPs in the following candidate genes showed notable interaction: IGF1R (rs41497346, estrogen plus progesterone hormone therapy, histology = all, P = 4.9 × 10−6) and ESR1 (rs12661437, endometriosis, histology = all, P = 1.5 × 10−5). The most notable obesity–gene–hormone risk factor interaction was within INSR (rs113759408, parity, histology = endometrioid, P = 8.8 × 10−6). Conclusions: We have demonstrated the feasibility of assessing multifactor interactions in large genetic epidemiology studies. Follow-up studies are necessary to assess the robustness of our findings for ESR1, CYP11A1, IGF1R, CYP11B1, INSR, and IGFBP2. Future work is needed to develop powerful statistical methods able to detect these complex interactions. Impact: Assessment of multifactor interaction is feasible, and, here, suggests that the relationship between genetic variants within candidate genes and hormone-related risk factors may vary EOC susceptibility. Cancer Epidemiol Biomarkers Prev; 25(5); 780–90. ©2016 AACR.

Abstract Background Acquired lymphangiectasia of the vulva ( ALV ) is a rare condition thought to be secondary to pelvic lymphatic obstruction. Although benign, this entity often occurs after previous malignancy and can be confused with conditions such as genital warts. We sought to clarify the clinicopathologic features of ALV by studying affected patients from our institution and from the existing literature. Methods We reviewed retrospectively the clinical and histopathologic characteristics of patients with ALV from our institution and performed an extensive literature search to identify all published cases of ALV . Results Eleven patients with ALV were identified from our institution. Three patients had Crohn disease, three had malignancies involving the pelvic region (rectal adenocarcinoma, cervical carcinoma, endometrial carcinoma), and three (two with pelvic malignancy) had previous radiation therapy. One patient had Proteus syndrome. Of 67 distinct cases of ALV identified in the literature, 41 (61%) had a history of malignancy. Conclusions In any acquired or clinically unusual lymphatic process in the skin and soft tissues, a lesion or obstructive process of the draining lymphatics should be investigated.

Lower melatonin level, melatonin receptor gene variations, and atenolol treatment are associated with glucose dysregulation. We investigated whether atenolol‐related glucose and melatonin changes are correlated, and whether single nucleotide polymorphisms (SNPs) in melatonin candidate genes contribute to interindividual variation in glucose change. Hypertensive Caucasians (n = 232) from the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) study treated with atenolol for 9 weeks were studied. Urinary 6‐sulfatoxymelatonin (aMT6s) was measured pre‐ and posttreatment and normalized to urinary creatinine. Pharmacogenetic effects on glucose change of 160 SNPs in 16 melatonin candidate genes were assessed with multiple linear regression. Atenolol was associated with increased glucose (1.8 ± 10.1mg/dl, P = 0.02) and decreased aMT6s (–4.5 ± 10.1 ng/mg, P < 0.0001). However, the aMT6s change was not correlated with post‐atenolol glucose change. SNP rs11649514 in PRKCB was associated with glucose change (P = 1.0×10−4). PRKCB is involved in the melatonin‐insulin regulatory pathway, and may be important in mediating clinically meaningful atenolol‐related hyperglycemia.

AbstractAutomated methods are needed to facilitate high‐throughput and reproducible scoring of Ki67 and other markers in breast cancer tissue microarrays (TMAs) in large‐scale studies. To address this need, we developed an automated protocol for Ki67 scoring and evaluated its performance in studies from the Breast Cancer Association Consortium. We utilized 166 TMAs containing 16,953 tumour cores representing 9,059 breast cancer cases, from 13 studies, with information on other clinical and pathological characteristics. TMAs were stained for Ki67 using standard immunohistochemical procedures, and scanned and digitized using the Ariol system. An automated algorithm was developed for the scoring of Ki67, and scores were compared to computer assisted visual (CAV) scores in a subset of 15 TMAs in a training set. We also assessed the correlation between automated Ki67 scores and other clinical and pathological characteristics. Overall, we observed good discriminatory accuracy (AUC = 85%) and good agreement (kappa = 0.64) between the automated and CAV scoring methods in the training set. The performance of the automated method varied by TMA (kappa range= 0.37–0.87) and study (kappa range = 0.39–0.69). The automated method performed better in satisfactory cores (kappa = 0.68) than suboptimal (kappa = 0.51) cores (p‐value for comparison = 0.005); and among cores with higher total nuclei counted by the machine (4,000–4,500 cells: kappa = 0.78) than those with lower counts (50–500 cells: kappa = 0.41; p‐value = 0.010). Among the 9,059 cases in this study, the correlations between automated Ki67 and clinical and pathological characteristics were found to be in the expected directions. Our findings indicate that automated scoring of Ki67 can be an efficient method to obtain good quality data across large numbers of TMAs from multicentre studies. However, robust algorithm development and rigorous pre‐ and post‐analytical quality control procedures are necessary in order to ensure satisfactory performance.

Key Points HERC4 is the first identified ubiquitin ligase that mediates c-Maf ubiquitination and degradation. HERC4 suppresses MM cell proliferation and delays MM tumor growth.

BackgroundThe objective of this work was to describe the association between baseline clinical characteristics and attendance at follow‐up visits after endoscopic sinus surgery (ESS).MethodsA retrospective review of chronic rhinosinusitis (CRS) patients electing ESS at a tertiary‐care center (2011‐2013) was conducted. Baseline characteristics were studied for association with clinic attendance at 3, 6, 12, and 24 months post‐ESS.ResultsWe identified 268 patients. Significant decline occurred in the number of patients following up after ESS (3 months: 246 patients [92%]; 6 months: 145 [54%]; 12 months: 94 [35%]; and 24 months: 90 [34%]). Older patients were more likely to follow up at 3 months (mean age 55.7 vs 48.4 years, p = 0.04) and 6 months (57.5 vs 52.3 years; p = 0.01) post‐ESS. Those with higher preoperative sinus computed tomography (CT) (Lund‐Mackay) scores were more likely to follow at 6 months (11.8 vs 10.3, p = 0.01), 12 months (12.6 vs 10.3, p < 0.001), and 24 months (12.2 vs 10.5, p = 0.01). At 12 months having asthma (p = 0.03), previous ESS (p = 0.04), nasal polyps (p < 0.0001), allergic fungal sinusitis (AFS) (p = 0.002), and granulomatosis with polyangiitis (GPA) (p = 0.01) were associated with clinic attendance. At 24 months asthma status (p = 0.003), previous ESS (p = 0.002), AFS (p = 0.04), GPA (p = 0.001), and aspirin‐exacerbated respiratory disease (AERD) (p = 0.006) were associated with higher attendance. Geographical proximity did not impact attendance.ConclusionThe sharpest decline in patient follow‐up occurred between 3–6 months after ESS. Higher preoperative sinus CT scores, previous ESS, presence of asthma, and diagnosis of recalcitrant CRS subtype (nasal polyps, AERD, AFS, GPA) were factors associated with increased long‐term attendance.