Susceptibility to travelers' diarrhea and histo-blood group antigens

Histo-blood group antigens (HBGAs) have been associated with susceptibility to enteric pathogens including noroviruses (NoVs), enterotoxigenic Escherichia coli (ETEC), Campylobacter jejuni, and Vibrio cholerae. We performed a retrospective cohort study to evaluate the relationship between traveler HBGA phenotypes and susceptibility to travelers' diarrhea (TD) and post-infectious complications. 364 travelers to Guadalajara, Mexico were followed prospectively from June 1 - September 30, 2007 and from June 7–July 28, 2008 for the development of TD and at 6 months for post-infectious irritable bowel syndrome (PIIBS). Noroviruses were detected from illness stool specimens with RT-PCR. Diarrheal stool samples were also assayed for enterotoxigenic and enteroaggregative E. coli, Salmonella species, Shigella species, Vibrio species, Campylobacter jejuni, Yersinia enterocolitica, Aeromonas species, and Plesiomonas species. Diarrheal stools were evaluated for inflammation with fecal leukocytes, mucus, and occult blood. Phenotyping for ABO and Lewis antigens with an ELISA assay and FUT2 gene PCR genotyping for secretor status were performed with saliva. 171 of 364 (47%) subjects developed TD. HBGA typing for the travelers revealed O (62.9%), A (34.6%), B (1.6%), and AB (0.8%) phenotypes. There were 7% nonsecretors and 93% secretors among the travelers. AB phenotypes were more commonly associated with Cryptosporidium species (P=0.04) and ETEC ( P=0.08) as causes of TD. AB and B phenotype individuals were more likely to experience inflammatory diarrhea, particularly mucoid diarrhea ( P=0.02). However, there were relatively few individuals with AB and B phenotypes. GI and GII NoV and Cryptosporidium species infections and PI-IBS were identified only in secretors, but these differences were not statistically significant, (P=1.00), (P=1.00), and (P=0.60), respectively. Additional studies are needed to evaluate whether AB phenotype individuals may be more susceptible to developing TD associated with Cryptosporidium species or ETEC, and whether AB and B phenotype individuals may be more likely to develop inflammatory TD. Further studies are needed to investigate whether nonsecretor travelers may be at less risk for developing infections with NoVs and Cryptosporidium species and PI-IBS.^

Exploration of genetic susceptibility to pancreatic cancer: A GWAS approach

Pancreatic cancer is the 4th most common cause for cancer death in the United States, accompanied by less than 5% five-year survival rate based on current treatments, particularly because it is usually detected at a late stage. Identifying a high-risk population to launch an effective preventive strategy and intervention to control this highly lethal disease is desperately needed. The genetic etiology of pancreatic cancer has not been well profiled. We hypothesized that unidentified genetic variants by previous genome-wide association study (GWAS) for pancreatic cancer, due to stringent statistical threshold or missing interaction analysis, may be unveiled using alternative approaches. To achieve this aim, we explored genetic susceptibility to pancreatic cancer in terms of marginal associations of pathway and genes, as well as their interactions with risk factors. We conducted pathway- and gene-based analysis using GWAS data from 3141 pancreatic cancer patients and 3367 controls with European ancestry. Using the gene set ridge regression in association studies (GRASS) method, we analyzed 197 pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Using the logistic kernel machine (LKM) test, we analyzed 17906 genes defined by University of California Santa Cruz (UCSC) database. Using the likelihood ratio test (LRT) in a logistic regression model, we analyzed 177 pathways and 17906 genes for interactions with risk factors in 2028 pancreatic cancer patients and 2109 controls with European ancestry. After adjusting for multiple comparisons, six pathways were marginally associated with risk of pancreatic cancer ( P < 0.00025): Fc epsilon RI signaling, maturity onset diabetes of the young, neuroactive ligand-receptor interaction, long-term depression (Ps < 0.0002), and the olfactory transduction and vascular smooth muscle contraction pathways (P = 0.0002; Nine genes were marginally associated with pancreatic cancer risk (P < 2.62 × 10−5), including five reported genes (ABO, HNF1A, CLPTM1L, SHH and MYC), as well as four novel genes (OR13C4, OR 13C3, KCNA6 and HNF4 G); three pathways significantly interacted with risk factors on modifying the risk of pancreatic cancer (P < 2.82 × 10−4): chemokine signaling pathway with obesity ( P < 1.43 × 10−4), calcium signaling pathway (P < 2.27 × 10−4) and MAPK signaling pathway with diabetes (P < 2.77 × 10−4). However, none of the 17906 genes tested for interactions survived the multiple comparisons corrections. In summary, our current GWAS study unveiled unidentified genetic susceptibility to pancreatic cancer using alternative methods. These novel findings provide new perspectives on genetic susceptibility to and molecular mechanisms of pancreatic cancer, once confirmed, will shed promising light on the prevention and treatment of this disease. ^

Correlation of blood type with thrombosis in pancreatic cancer patients

Objective: The study aimed to identify the risk factors involved in initiating thromboembolism (TE) in pancreatic cancer (PC) patients, with focus on ABO blood type. ^ Methods and Patients: There were 35.7% confirmed cases of TE and 64.3% cases remained free of TE (n=687). There were 12.7% only Pulmonary embolism (PE), 9% only Deep vein thrombosis (DVT), 53.5% only other sites, 3.3% combined PE and DVT, 8.6% combined PE and other sites, 9.8% combined DVT and other sites, and 3.3% all three combined cases. ^ Results: The risk factors for thrombosis identified by multivariate logistic regression were: history of previous anti-thrombotic treatment, tumor site in pancreatic body or tail, large tumor size, maximum glucose category more than 126 and 200 mg/dL. ^ The factors with worse overall survival by multivariate Cox regression and Kaplan Meier analyses were: locally advanced or metastatic stage, worsening performance status, high CA 19-9 levels, and HbA1C levels more than 6 %, at diagnosis. ^ There were 29.1% and 39.1% of the patients with thrombosis in the O and non-O blood type groups respectively. Both Non-O blood type (P=0.02) and the A, B and AB blood types (P= 0.007) were associated with thrombosis as compared to O type. The odds of thrombosis were nearly half in O blood type patients as compared to non-O blood type [OR-0.54 (95% C.I.- 0.37-0.79), P<0.001]. ^ Conclusion: A better understanding of the TE and PC relationship and involved risk factors may provide insights on tumor biology and patient response to prophylactic anticoagulation therapy.^