Suchergebnisse

Objectives Genomic Risk Scores (GRS) successfully demonstrated the ability of genetics to identify those individuals at high risk for complex traits including immune-mediated inflammatory diseases (IMIDs). We aimed to test the performance of GRS in the prediction of risk for systemic sclerosis (SSc) for the first time. Methods Allelic effects were obtained from the largest SSc Genome-Wide Association Study (GWAS) to date (9 095 SSc and 17 584 healthy controls with European ancestry). The best-fitting GRS was identified under the additive model in an independent cohort that comprised 400 patients with SSc and 571 controls. Additionally, GRS for clinical subtypes (limited cutaneous SSc and diffuse cutaneous SSc) and serological subtypes (anti-topoisomerase positive (ATA+) and anti-centromere positive (ACA+)) were generated. We combined the estimated GRS with demographic and immunological parameters in a multivariate generalised linear model. Results The best-fitting SSc GRS included 33 single nucleotide polymorphisms (SNPs) and discriminated between patients with SSc and controls (area under the receiver operating characteristic (ROC) curve (AUC)=0.673). Moreover, the GRS differentiated between SSc and other IMIDs, such as rheumatoid arthritis and Sjögren's syndrome. Finally, the combination of GRS with age and immune cell counts significantly increased the performance of the model (AUC=0.787). While the SSc GRS was not able to discriminate between ATA+ and ACA+ patients (AUC<0.5), the serological subtype GRS, which was based on the allelic effects observed for the comparison between ACA+ and ATA+ patients, reached an AUC=0.693. Conclusions GRS was successfully implemented in SSc. The model discriminated between patients with SSc and controls or other IMIDs, confirming the potential of GRS to support early and differential diagnosis for SSc. ; Spanish Government RTI2018101332-B-100 ; Red de Investigación en Inflamación y Enfermedades Reumáticas (RIER) from Instituto de Salud Carlos III RD16/0012/0013 ; EU/EFPIA/Innovative Medicines Initiative Joint Undertaking PRECISESADS 115565 ; Spanish Ministry of Science and Innovation through the Juan de la Cierva incorporation program IJC2018-035131-I IJC2018-038026-I ; Spanish Ministry of Science and Innovation through the Ayudas para contratos predoctorales para la formación de doctores 2019 program RTI2018-101332-B-I00

Immune-checkpoint inhibitors show encouraging results in cancer treatment, but the clinical benefit is limited exclusively to a subset of patients. We analyzed the density and composition of tumor T-cell infiltration in non-small-cell lung carcinoma (NSCLC) in relation to PD-L1 and HLA class I (HLA-I) expression. We found that positive HLA-I expression, independently on PD-L1 status, is the key factor determining the increased density of the immune infiltrate. When both markers were analyzed simultaneously, we identified four phenotypes of HLA-I and PD-L1 co-expression. They demonstrated different patterns of tumor infiltration and clinicopathologic characteristics, including the tumor size and lymphatic spread. All HLA-I+/PD-L1+ tumors had a high degree of intratumoral infiltration with CD8+T-lymphocytes, whereas HLA-I loss was associated with a significantly reduced number of tumor infiltrating T-lymphocytes mostly restrained in the stroma surrounding the tumor nest. HLA-I-negative/PD-L1-positive tumors had bigger size (T) and lower grade of infiltration with CD8+T-cells. It represents a cancer immune escape phenotype that combines two independent mechanisms of immune evasion: loss of HLA-I and upregulation of PD-L1. Using GCH-array analysis of human lung cancer cell lines we found that the loss of heterozygosity (LOH) with complete or partial deletion of HLA-I genes is the principal mechanism of HLA-I alterations. This irreversible defect, which could potentially decrease the clinical efficacy of lung cancer immunotherapy, appears to be underestimated. In conclusion, our results suggest that the analysis of HLA-I is very important for the selection of potential responders to cancer immunotherapy. ; This work was supported by the grants from Spanish Institute of Heath Carlos III (ISCIII, Instituto Carlos III) co-financed by European Union (FEDER-Fondo Europeo de Desarrollo Regional) (PI12/02031, PI08/1265, PI11/01022, PI11/01386, RETIC RD 06/020, RD09/0076/00165, PT13/0010/0039, PI14/01978, PI16/00752) and by the Junta de Andalucía in Spain (Groups CTS-143, CTS-695,CTS-3952, CVI-4740, PI 09/0382 grant). This study is part of the doctoral thesis of Francisco Perea and his pre-doctoral fellowship was partially financed by Becton Dickinson and Beckman Coulter. ; Peer reviewed

Funding for the preparation of this manuscript has received support from the Innovative Medicines Initiative Joint Undertaking under grant agreement no 115,565, resources composed of the financial contribution from the European Union's Seventh Framework Program (FP7/2007-2013) and the EFPIA companies' in kind contribution. MT is supported by a Spanish grant from Health Department, Junta de Andalucia (PI/0017/2016) and through the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 806975. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA. EC-M was funded by the Postdoctoral Training Subprogramme Juan de la Cierva-Ministry of Economy and Competitiveness (FJCI_2014_20652). We thank Ralf Lesche for the production of RNASeq data and Marc Torres Ciuro for design support. ; Primary Sjögren's syndrome (SS) is a systemic autoimmune disease characterized by lymphocytic infiltration and damage of exocrine salivary and lacrimal glands. The etiology of SS is complex with environmental triggers and genetic factors involved. By conducting an integrated multi-omics study, we confirmed a vast coordinated hypomethylation and overexpression effects in IFN-related genes, what is known as the IFN signature. Stratified and conditional analyses suggest a strong interaction between SS-associated HLA genetic variation and the presence of Anti-Ro/SSA autoantibodies in driving the IFN epigenetic signature and determining SS. We report a novel epigenetic signature characterized by increased DNA methylation levels in a large number of genes enriched in pathways such as collagen metabolism and extracellular matrix organization. We identified potential new genetic variants associated with SS that might mediate their risk by altering DNA methylation or gene expression patterns, as well as disease-interacting genetic variants that exhibit regulatory function only in the SS population. Our study sheds new light on the interaction between genetics, autoantibody profiles, DNA methylation and gene expression in SS, and contributes to elucidate the genetic architecture of gene regulation in an autoimmune population. ; Innovative Medicines Initiative Joint Undertaking from the European Union's Seventh Framework Program (FP7/2007-2013) 115,565 ; EFPIA companies ; Junta de Andalucia PI/0017/2016 ; Innovative Medicines Initiative 2 Joint Undertaking 806975 European Union's Horizon 2020 research and innovation programme ; EFPIA ; Postdoctoral Training Subprogramme Juan de la Cierva-Ministry of Economy and Competitiveness FJCI_2014_20652