Improving coeliac disease risk prediction by testing non-HLA variants additional to HLA variants

Background: The majority of coeliac disease (CD) patients are not being properly diagnosed and therefore remain untreated, leading to a greater risk of developing CD-associated complications. The major genetic risk heterodimer, HLA-DQ2 and DQ8, is already used clinically to help exclude disease. However, approximately 40% of the population carry these alleles and the majority never develop CD. Objective: We explored whether CD risk prediction can be improved by adding non-HLA-susceptible variants to common HLA testing. Design: We developed an average weighted genetic risk score with 10, 26 and 57 single nucleotide polymorphisms (SNP) in 2675 cases and 2815 controls and assessed the improvement in risk prediction provided by the non-HLA SNP. Moreover, we assessed the transferability of the genetic risk model with 26 non-HLA variants to a nested case–control population (n=1709) and a prospective cohort (n=1245) and then tested how well this model predicted CD outcome for 985 independent individuals. Results: Adding 57 non-HLA variants to HLA testing showed a statistically significant improvement compared to scores from models based on HLA only, HLA plus 10 SNP and HLA plus 26 SNP. With 57 non-HLA variants, the area under the receiver operator characteristic curve reached 0.854 compared to 0.823 for HLA only, and 11.1% of individuals were reclassified to a more accurate risk group. We show that the risk model with HLA plus 26 SNP is useful in independent populations. Conclusions: Predicting risk with 57 additional non-HLA variants improved the identification of potential CD patients. This demonstrates a possible role for combined HLA and non-HLA genetic testing in diagnostic work for CD

Prognostic significance of tumor-infiltrating T-lymphocytes in primary and metastatic lesions of advanced stage ovarian cancer

PURPOSE: Ovarian cancer patients with intra-tumoral CD3(+) T-lymphocytes in primary tumor tissue have a better prognosis. This study aims to analyze the presence and relative influence of three important T-lymphocyte subsets, tumor-infiltrating CD8(+) cytotoxic T-lymphocytes (CTL), CD45R0(+) memory T-lymphocytes, and FoxP3(+) regulatory T-lymphocytes (Treg), in primary tumor tissue and omental metastases of patients with ovarian cancer. EXPERIMENTAL DESIGN: The number of CD8(+), CD45R0(+), and FoxP3(+) T-lymphocytes was determined by immunohistochemistry on a tissue micro array containing ovarian tumor tissue and/or omental metastases obtained at primary debulking surgery from 306 FIGO stage I-IV ovarian cancer patients. Immunohistochemistry data were correlated to clinicopathological parameters and survival data. RESULTS: High number of CD8(+) CTL and a high CD8(+)/FoxP3(+) ratio in ovarian-derived tumor tissue were associated with increased disease-specific survival and proved to be independent prognostic factors in multivariate analyses. In advanced stage patients, the presence of CD8(+) CTL, CD45R0(+) memory T-lymphocytes, FoxP3(+) Treg or a high CD8(+)/FoxP3(+) ratio in ovarian-derived tumor tissue was associated with an increased disease specific survival in univariate analysis, as was the presence of CD45R0(+) memory T-lymphocytes and FoxP3(+) Treg in omental metastases. Furthermore, in advanced stage patients CD8(+) cytotoxic and FoxP3(+) regulatory T-lymphocytes infiltrating ovarian-derived tumor tissue were independent predictors of increased prognosis. CONCLUSIONS: T-lymphocytes infiltrating primary and metastatic ovarian cancer sites are associated with improved prognosis. These associations are especially distinct in advanced stage patients, underlining the potential for immunotherapy as a broadly applicable therapeutic strategy

Distribution of the study population across the smoking and alcohol subgroups, according to BMI class.

<p>Distribution of the study population across the smoking and alcohol subgroups, according to BMI class.</p

Characteristics of the total study population by BMI class.

<p>Data are presented as mean ± SD, or geometric mean (interquartile range). Abbreviations: BMI = body mass index, SBP = systolic blood pressure, DBP = diastolic blood pressure, HDL-C = high density lipoprotein cholesterol, TG = triglycerides, BP = blood pressure, MetS = metabolic syndrome.</p

Prevalence of metabolic syndrome within the smoking and alcohol subgroups, according to BMI class.

<p>Top: BMI<25 kg/m²; middle: BMI 25–30 kg/m²; bottom: BMI≥30 kg/m². BMI = body mass index N: non-smokers; F: former smokers; C1: smokers of <20 g tobacco/day; C2: smokers of ≥20 g tobacco/day.</p

Overview of the relationships of light, moderate or heavy alcohol consumption (relative to non-consumption) and smoking on the individual MetS risk components.

<p>Larger arrows and two arrows indicate a stronger association. N = neutral association.</p>a<p>association depends on the body mass index: a larger waist circumference for BMI <25 kg/m² and a smaller waist circumference for BMI≥25 kg/m².</p

Common and different genetic background for rheumatoid arthritis and coeliac disease

Contains fulltext : 81471.pdf (publisher's version ) (Closed access)Recent genome-wide association studies (GWAS) have revealed genetic risk factors in autoimmune and inflammatory disorders. Several of the associated genes and underlying pathways are shared by various autoimmune diseases. Rheumatoid arthritis (RA) and coeliac disease (CD) are two autoimmune disorders which have commonalities in their pathogenesis. We aimed to replicate known RA loci in a Dutch RA population, and to investigate whether the effect of known RA and CD risk factors generalize across the two diseases. We selected all loci associated to either RA or CD in a GWAS and confirmed in an independent cohort, with a combined P-value cut-off P < 5 x 10(-6). We genotyped 11 RA and 11 CD loci in 1368 RA patients, 795 CD patients and 1683 Dutch controls. We combined our results in a meta-analysis with UK GWAS on RA (1860 cases; 2938 controls) and CD (767 cases; 1422 controls). In the Dutch RA cohort, the PTPN22 and IL2/IL21 variants showed convincing association (P = 3.4 x 10(-12) and P = 2.8 x 10(-4), respectively). Association of RA with the known CD risk variant in the SH2B3 was also observed, predominantly in the subgroup of rheumatoid factor-positive RA patients (P = 0.0055). In a meta-analysis of Dutch and UK data sets, shared association with six loci (TNFAIP3, IL2/IL21, SH2B3, LPP, MMEL1/TNFRSF14 and PFKFB3/PRKCQ) was observed in both RA and CD cohorts. We confirmed two known loci and identified four novel ones for shared CD-RA genetic risk. Most of the shared loci further emphasize a role for adaptive and innate immunity in these diseases