A lncRNA-mRNA regulatory module of lung adenocarcinoma (LUAD)
Public gene expression data of three cohorts were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Differential expression analysis between LUAD and normal samples and survival analysis were performed. The protein-protein interaction (PPI) network and co-expression analysis were conducted as a further screening. The least absolute shrinkage and selection operator (LASSO) Cox regression model was developed to predict overall survival. Machine learning models were trained to recognize early-stage LUAD or EGFR-mutation.
Pyroptosis-Related Molecular Subtypes of Lung Adenocarcinoma
33 pyroptosis gene expression profiles and clinical information were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. By bioinformatics and machine learning analyses, we identified novel subtypes of LUAD based on 10 pyroptosis-related genes and further validated them in the GEO dataset, with machine learning models performing up to an AUC of 1 for classifying in GEO. LUAD patients were clustered into 3 subtypes (A, B, and C), and survival analysis showed that B had the best survival outcome and C had the worst survival outcome.
Risk prediction of RBC transfusion during or after liver transplantation
The ALICE score (Acute myocardial ischemia, Lactate, Iliac arteries involved, and CreatininE are comprised) is a more reliable preoperative score for detecting fatality-prone patients than previously published preoperative risk scores for acute type A aortic dissection (aTAAD) in external validation, which might help bedside clinicians in early detection of the most severe aTAAD patients.
Luo JC*, Zhong J*, Duan WX*, et al. Early risk stratification of acute type A aortic dissection: development and validation of a predictive score. Cardiovasc Diagn Ther; 2020. DOI: 10.21037/cdt-20-730.
Prediction of sepsis-induced coagulopathy (SIC) in critically ill patients with sepsis
Prediction of extubation failure
Prediction of NIV failure
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