METHODS: Twenty-eight biomarkers were analysed in 640 participants: 259 with SSc-ILD and 179 SSc-controls without ILD , 172 idiopathic pulmonary fibrosis -controls , and 30 healthy controls

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 METHODS: Twenty-eight  biomarkers were analysed in 640 participants: 259 with SSc-ILD and 179  SSc-controls without ILD , 172 idiopathic  pulmonary fibrosis -controls , and 30 healthy  controls

A composite index was developed from biomarkers associated with ILD in  multivariable analysis derived at empirical thresholds. Performance of the index  to identify ILD, and specifically SSc-ILD, and its association with lung  function, radiological extent, health-related quality of life were  evaluated in derivation and validation cohorts. Biomarkers to distinguish SSc-ILD  from IPF-controls were identified. RESULTS: A composite biomarker index,  comprising SP-D, Ca15-3 and ICAM-1, was strongly associated with SSc-ILD  diagnosis, independent of age, sex, smoking and lung function . The composite index strengthened  the performance of individual biomarkers for SSc-ILD identification. In SSc  patients, a higher index was associated with worse baseline disease severity   and  DLCO% , both p<001).

CONCLUSION: A composite serum biomarker index,  comprising SP-D, Ca15-3 and ICAM-1 may improve the identification and  risk-stratification of ILD in SSc patients at baseline. Building 75, Missenden Road, Camperdown, Sydney, NSW, 2050, Australia. Building, Brompton Campus, Cale Street, London, SW3 6LR, United Kingdom. 4, QEII Building 59 Missenden road, Camperdown, Sydney, NSW, 2050, Australia. Level 4 Building 75, Missenden road, Camperdown, Sydney, NSW, 2050, Australia. Stuart Building F13, Sydney, NSW, 2006, Australia. Stuart Building F13, Sydney, NSW, 2006, Australia.

Level 5, Monash Health, 246 Clayton Road, Clayton, Victoria, 3168, Australia.  aloe emodin benefits , Melbourne, Victoria, 3004, Australia. Drive, Murdoch, Perth, WA, 6150, Australia. Centre, Level 2, 6 Verdun Street, Nedlands, WA, 6009, Perth, Asutralia. Level 3, 35 Victoria Pde, Fitzroy, Melbourne, Victoria, 3065, Australia. Level 5, Monash Health, 246 Clayton Road, Clayton, Victoria, 3168, Australia. Building 75, Missenden Road, Camperdown, Sydney, NSW, 2050, Australia.

Australian Idiopathic Pulmonary Fibrosis Registry, and associated investigators Recent efforts have focused on developing methylation risk scores , a  weighted sum of the individual's DNA methylation values of pre-selected  CpG sites. Most of the current MRS approaches that utilize Epigenome-wide  association studies summary statistics only include genome-wide  significant CpG sites and do not consider co-methylation. New methods that relax  the p-value threshold to include more CpG sites and account for the  inter-correlation of DNAm might improve the predictive performance of MRS. We  paired informed co-methylation pruning with P-value thresholding to generate  pruning and thresholding MRS and evaluated its performance among  multi-ancestry populations. Through simulation studies and real data analyses, we  demonstrated that pruning provides an improvement over simple thresholding  methods for prediction of phenotypes. We demonstrated that European-derived  summary statistics can be used to develop P+T MRS among other populations such as  African populations. However, the prediction accuracy of P+T MRS may differ  across multi-ancestry population due to environmental/cultural/social  metastasis by upregulating PD-L1 and CCL BACKGROUND & AIMS: Metastasis remains the major reason for high mortality of HCC  patients.

This study was designed to investigate the role of  E-twenty-six-specific sequence variant 4 in promoting HCC metastasis and  explored new combination therapy strategy for ETV4-mediated HCC metastasis.  METHODS: PLC/PRF/5, MHCC97H, Hepa1-6 and H22 cells were used to establishment of  orthotopic HCC Models. Clodronate liposomes were used to clear macrophages in  C57BL/6 mice. Gr-1 monoclonal antibody was used to clear myeloid derived  suppressor cell in C57BL/6 mice.  Purchase  and immunofluorescence  were used to detect the changes of key immune cells in tumor microenvironment.  RESULTS: ETV4 expression was positively related to higher TNM stage, poor tumor  differentiation, microvascular invasion, and poor prognosis in human HCC.  Overexpression of ETV4 in HCC cells transactivated programmed death ligand 1  and chemokine ligand 2 expression, which increased  tumor-associated macrophages and myeloid derived suppressor cells  infiltration and inhibited CD8 T cells accumulation.

Knockdown of CCL2 by  lentivirus or CCR2 inhibitor CCX872 treatment impaired ETV4-induced TAMs and  MDSCs infiltration and HCC metastasis. Furthermore, fibroblast growth factor 19  /fibroblast growth factor receptor 4 and hepatocyte growth factor  /c-MET jointly upregulated ETV4 expression through ERK1/2 pathway.  Additionally, ETV4 upregulated FGFR4 expression and downregulation of FGFR4  decreased ETV4-enhanced HCC metastasis, which created a FGF19-ETV4-FGFR4 positive  feedback loop. Finally, anti-PD-L1 combined with FGFR4 inhibitor BLU-554 or MAPK  inhibitor trametinib prominently inhibited FGF19-ETV4 signaling induced HCC  metastasis. CONCLUSIONS: ETV4 is a prognostic biomarker, and anti-PD-L1 combined  with FGFR4 inhibitor BLU-554 or MAPK inhibitor trametinib may be effective  strategies to inhibit HCC metastasis.