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Background Chemotherapy is the major choice for advanced non-small-cell lung cancer (NSCLC) patients with epidermal growth factor receptor exon 20 insertion (EGFR ex20ins). The efficacy of pemetrexed-based with other chemotherapy regimens and EGFR ex20ins subtypes in this population has not been well studied. Methods We screened patients with EGFR ex20ins by next-generation sequencing (NGS) from a large cohort. The clinicopathologic and medical information were collected in advanced NSCLC patients with EGFR ex20ins. We also compared the clinical outcomes among patients with different subtypes of EGFR ex20ins. Results We retrospectively collected 119 stage IIIB/IV NSCLC patients with EGFR ex20ins from 9142 NSCLC patients across China from June 2013 to December 2018. The subtypes of EGFR ex20ins included A767_V769dupASV (33/119, 27.73%), S768_D770dupSVD (19/119, 15.97%), N771_H773dupNPH (11/119, 9.24%), A763_Y764insFQEA (2/119, 1.68%) and others (54/119, 45.38%). A total of 64.7% (77/119) of patients received pemetrexed-based first-line chemotherapy and 13.45% (16/119) of patients received pemetrexed-based second-line chemotherapy. Pemetrexed-based chemo-treated patients had longer median progression-free survival (PFS) than patients without pemetrexed-based chemo-treated (5.5 vs. 3.0 months, P=0.0026). Survival data was available for 66 patients and the median overall survival (OS) was 24.7 months. Pemetrexed-based chemo-treated patients had longer OS tendency than patients without pemetrexed-based chemo-treated (25.0 vs. 19.6 months, P=0.0769). Patients harboring A767_V769dupASV had better OS than other subtypes of EGFR ex20ins but without statistical significance (P=0.0676). Multivariate analysis revealed that histological type of NSCLC and bone-metastasis before treatment were independent prognostic factors for OS in all patients after adjusting all characteristic and treatment factors (P Conclusions To the best of our knowledge, it is the largest cohort study of advanced NSCLC patients with EGFR ex20ins across China. Pemetrexed-based treatment could have better control of disease than non-pemetrexed-based chemotherapies in this population. Furthermore, more effective agents are expected for patients harboring EGFR ex20ins.

Dermatomyositis (DM) is a type of autoimmune inflammatory myopathy, which primarily affects the skin and muscle. The underlying mechanisms of DM remain poorly understood. The present study aimed to explore gene expression profile alterations, investigate the underlying mechanisms, and identify novel targets for DM. The GSE48280 dataset, which includes data from five DM and five normal muscle tissue samples, was obtained from the Gene Expression Omnibus. Firstly, differentially expressed genes (DEGs) were screened by limma package in R. Subsequently, functional and pathway enrichment analyses were performed using ClueGO from Cytoscape. Finally, protein‑protein interaction (PPI) networks were constructed using STRING and Cytoscape, in order to identify hub genes. As a result, 180 upregulated and 21 downregulated genes were identified in the DM samples. The Gene Ontology enrichment analysis revealed that the type I interferon (IFN) signaling pathway was the most significantly enriched term within the DEGs. The Kyoto Encyclopedia of Genes and Genomes pathway analysis identified 27 significant pathways, the majority of which can be divided into the infectious diseases and immune system categories. Following construction of PPI networks, 24 hub genes were selected, all of which were associated with the type I IFN signaling pathway in DM. The findings of the present study indicated that type I IFNs may have a central role in the induction of DM. In addition, other DEGs, including chemokine (C‑C motif) ligand 5, C‑X‑C motif chemokine 10, Toll‑like receptor 3, DEXD/H‑Box helicase 58, interferon induced with helicase C domain 1, interferon‑stimulated gene 15 and MX dynamin‑like GTPase 1, may be potential targets for DM diagnosis and treatment.

BACKGROUND Recent studies have highlighted the potential diagnostic values of microRNAs (miRNA) in various cancers involving oral cancer. This meta-analysis sought to summarize the global diagnostic accuracy of miRNAs for patients with oral cancer (OC). METHODS A systematic review of multiple databases was performed to obtain original studies fulfilling search criteria and the quality of studies was assessed by the QUADAS tool. The bivariate meta-analysis model was employed to plot the summary receiver operator characteristic (SROC) curve. Influence analysis, meta-regression, and publication bias assay were all conducted using Stata 12.0 software. The trim-fill adjustment method was used to further assess the possible effect of publication bias. RESULTS A total of 8 studies were included. The SROC analysis showed that miRNA profiling allowed for the discrimination between patients with high-risk oral lesions (OC or pre-cancer) and healthy donors, with a sensitivity of 0.84 (95% CI: 0.78-0.88) and specificity of 0.83 (95% CI: 0.78-0.87), corresponding to an area under curve (AUC) of 0.90. Our subgroup analyses suggested that miRNA signature harbored higher accuracy in diagnosing oral squamous cell carcinoma (OSCC) than pre-cancer lesions (AUC, sensitivity, and specificity of 0.90, 0.83, or 0.82, respectively). Moreover, stratified analyses revealed that parallel miRNA profiling, plasma- and Caucasian-based analyses all conferred promising accuracies for OC detection. The funnel plot assay manifested evidence of a publication bias. After the adjustment by the trim and fill method, the pooled adjusted efforts were slightly attenuated. CONCLUSIONS MiRNA profiles hallmark a potential diagnostic value for detection of OC and potentially malignant disorders. Further studies should be performed to rigorously evaluate the diagnostic accuracy of miRNA profiling for OC.