Citations

Abstract Registry-based epidemiologic studies suggest associations between chronic inflammatory intestinal diseases and pancreatic ductal adenocarcinoma (PDAC). As genetic susceptibility contributes to a large proportion of chronic inflammatory intestinal diseases, we hypothesize that the genomic regions surrounding established genome-wide associated variants for these chronic inflammatory diseases are associated with PDAC. We examined the association between PDAC and genomic regions (±500 kb) surrounding established common susceptibility variants for ulcerative colitis, Crohn's disease, inflammatory bowel disease, celiac disease, chronic pancreatitis, and primary sclerosing cholangitis. We analyzed summary statistics from genome-wide association studies data for 8,384 cases and 11,955 controls of European descent from two large consortium studies using the summary data-based adaptive rank truncated product method to examine the overall association of combined genomic regions for each inflammatory disease group. Combined genomic susceptibility regions for ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis were associated with PDAC at P values < 0.05 (0.0040, 0.0057, 0.011, and 3.4 × 10−6, respectively). After excluding the 20 PDAC susceptibility regions (±500 kb) previously identified by GWAS, the genomic regions for ulcerative colitis, Crohn disease, and inflammatory bowel disease remained associated with PDAC (P = 0.0029, 0.0057, and 0.0098, respectively). Genomic regions for celiac disease (P = 0.22) and primary sclerosing cholangitis (P = 0.078) were not associated with PDAC. Our results support the hypothesis that genomic regions surrounding variants associated with inflammatory intestinal diseases, particularly, ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis are associated with PDAC. Significance: The joint effects of common variants in genomic regions containing susceptibility loci for inflammatory bowel disease and chronic pancreatitis are associated with PDAC and may provide insights to understanding pancreatic cancer etiology.

Importance: Predicting nasal soft tissue envelope (STE) thickness is an important component of the preoperative evaluation for rhinoplasty that presently lacks validated tools. Objective: Assess for patient facial features and factors that can help predict nasal STE thickness. Design, Setting, and Participants: Retrospective review and prospective assessment conducted at an academic tertiary referral center. This study included 190 adult patients and four expert raters. The patients had high-resolution maxillofacial CT scans and standardized facial photographs on file and did not have a history of nasal fracture, septal perforation, rhinoplasty, or other surgery or medical conditions altering nasal form. Main Outcomes and Measures: Assess each face for features that could help predict nasal STE thickness: sebaceous quality of skin, visibility of nasal tip cartilages, presence of freckles, presence of telangiectasias, Fitzpatrick skin type, patient age, sex, and body mass index (BMI). Measure actual nasal STE thickness using high-resolution CT scans. Analyze which facial features and patient factors help predict nasal STE thickness. Results: Pearson correlations were calculated between actual nasal STE thickness and patient facial features and factors. These showed that more sebaceous skin, telangiectasias, higher Fitzpatrick skin type, male sex, and higher BMI were associated with a thicker nasal STE. Increased visibility of nasal tip cartilages, freckles, lower Fitzpatrick skin type, female sex, and lower BMI were associated with a thinner nasal STE. Conclusions and Relevance: There are patient facial features and factors that can help surgeons predict nasal STE thickness before rhinoplasty. An accurate prediction of nasal STE thickness can improve preoperative planning for rhinoplasty, allowing implementation of pre-, intra-, and post-operative treatments to optimize the nasal STE, which may ultimately improve patient outcomes and satisfaction.