Purpose: Endometrioid ovarian carcinoma (ENOC) is generally associated with a more favorable prognosis compared with other ovarian carcinomas. Nonetheless, current patient treatment continues to... Show morePurpose: Endometrioid ovarian carcinoma (ENOC) is generally associated with a more favorable prognosis compared with other ovarian carcinomas. Nonetheless, current patient treatment continues to follow a "one-size-fits-all" approach. Even though tumor staging offers stratification, personalized treatments remain elusive. As ENOC shares many clinical and molecular features with its endometrial counterpart, we sought to investigate The Cancer Genome Atlas-inspired endometrial carcinoma (EC) molecular subtyping in a cohort of ENOC.Experimental Design: IHC and mutation biomarkers were used to segregate 511 ENOC tumors into four EC-inspired molecular subtypes: low-risk POLE mutant (POLEmut), moderate-risk mismatch repair deficient (MMRd), high-risk p53 abnormal (p53abn), and moderate-risk with no specific molecular profile (NSMP). Survival analysis with established clinicopathologic and subtypespecific features was performed.Results: A total of 3.5% of cases were POLEmut, 13.7% MMRd, 9.6% p53abn, and 73.2% NSMP, each showing distinct outcomes (P < 0.001) and survival similar to observations in EC. Median OS was 18.1 years in NSMP, 12.3 years in MMRd, 4.7 years in p53abn, and not reached for POLEmut cases. Subtypes were independent of stage, grade, and residual disease in multivariate analysis.Conclusions: EC-inspired molecular classification provides independent prognostic information in ENOC. Our findings support investigating molecular subtype-specific management recommendations for patients with ENOC; for example, subtypes may provide guidance when fertility-sparing treatment is desired. Similarities between ENOC and EC suggest that patients with ENOC may benefit from management strategies applied to EC and the opportunity to study those in umbrella trials. Show less
Dendritic cells (DCs) are antigen-presenting cells (APCs) which play a key role in the regulation of immune responses. DCs are often referred to as __professional__ APCs, since their primary... Show moreDendritic cells (DCs) are antigen-presenting cells (APCs) which play a key role in the regulation of immune responses. DCs are often referred to as __professional__ APCs, since their primary function is to present antigens from pathogens or malignant cells. Consequently, there is a great deal of interest in how DCs might be exploited as a form of immunotherapy e.g. to induce immunity to cancers. However, DCs are also thought to play an important role in directing regulatory immune responses to innocuous antigens, which are targeted in autoimmune disease or during transplantation. Soluble factors secreted by DCs are crucial mediators in determining this balance between the immunogenic and regulatory arms of the immune system. One such group of factors is cytokines and one family which is gaining increasing attention is the IL-12 family. It is composed of four members; two are immunogenic and their expression has been very well characterised in DCs. The other two are regulatory, but relatively little is known about their regulation and expression in DC populations. In this thesis we aim to give a comprehensive overview of the expression and regulation of IL-12 family members in human DCs, with a particularly emphasis on IL-12, IL-27 and IL-35. Show less
O'Flynn, J.; Dixon, K.; Krol, M.C.F.; Daha, M.R.; Kooten, C. van 2013
Objectives The genetic aetiology of osteoarthritis has not yet been elucidated. To enable a well-powered genome-wide association study (GWAS) for osteoarthritis, the authors have formed the arcOGEN... Show moreObjectives The genetic aetiology of osteoarthritis has not yet been elucidated. To enable a well-powered genome-wide association study (GWAS) for osteoarthritis, the authors have formed the arcOGEN Consortium, a UK-wide collaborative effort aiming to scan genome-wide over 7500 osteoarthritis cases in a two-stage genome-wide association scan. Here the authors report the findings of the stage 1 interim analysis. Methods The authors have performed a genome-wide association scan for knee and hip osteoarthritis in 3177 cases and 4894 population-based controls from the UK. Replication of promising signals was carried out in silico in five further scans (44 449 individuals), and de novo in 14 534 independent samples, all of European descent. Results None of the association signals the authors identified reach genome-wide levels of statistical significance, therefore stressing the need for corroboration in sample sets of a larger size. Application of analytical approaches to examine the allelic architecture of disease to the stage 1 genome-wide association scan data suggests that osteoarthritis is a highly polygenic disease with multiple risk variants conferring small effects. Conclusions Identifying loci conferring susceptibility to osteoarthritis will require large-scale sample sizes and well-defined phenotypes to minimise heterogeneity. Show less
