Extremely hot weather has emerged more and more frequently in recent years, which has caused some serious disasters such as forest fires, heat-related illnesses, machine breakdowns, and so on. Flexible thermal sensors will be an efficient solution to achieve large area coverage of thermal alarm systems, due to their merits of low cost, portability, and easy processing. In the preparation of flexible sensors, the printing method stands out for its efficient and inexpensive characteristics. In this work, just by combining the high-NIR photothermal conversion material MXene (Ti 3 C 2 T x ) and thermosensitive substance metal salt (FeCl 3 )-based deep eutectic solvents (DES), conductive thermally sensitive inks were prepared. The MXene/DES-based ink with a suitable viscosity can be smoothly screen-printed on A4 paper. The as-prepared sensors can quickly generate heat even up to over 200 °C and simultaneously respond to the temperature change under near-infrared light (NIR, 808 nm). The type of metal salt can be replaced with other common metals, such as AlCl 3 , ZnCl 2 , SnCl 2 , and CuCl 2 , and some of them also presented good photothermal conversion ability. These inks are easy to synthesize, and the printed sensors are portable and easy to integrate, which make them a good candidate for building flexible thermal alarm systems.

Background Many studies have shown that microRNAs (miRNAs) play an essential role in gene regulation and tumor development. This study aimed to explore the expression of miR‐379‐5p and its mechanisms of affecting proliferation, migration, and invasion in breast cancer (BC). Methods MiRNAs and mRNAs expression data of BC and normal breast tissue samples were downloaded from the TCGA and GEO databases. qRT‐PCR was used to detect the expression of miR‐379‐5p in human normal breast epithelial cell lines and human BC cell lines. The proliferation ability of transfected cells was detected by colony formation and EdU assays. The mobility and invasion ability of transfected cells was measured by wound healing and transwell assays. The relative protein expression of transfected cells was detected by western blot. Dual luciferase reporter assay was performed to identify the targeted binding of miR‐379‐5p and KIF4A. Results MiR‐379‐5p was lowly expressed in BC tissue samples and BC cell lines. The target genes of miR‐379‐5p were involved in many cancer‐related signaling pathways. PPI analysis and the cytoHubba algorithm of Cytoscape identified 10 genes as the hub genes. Survival analysis showed that only KIF4A expression in 10 hub genes was significantly associated with the prognosis of BC patients and was significantly upregulated in BC. Overexpression of miR‐379‐5p inhibited proliferation, migration, and invasion in the BC cell line MDA‐MB‐231, which could be reversed by KIF4A. Conclusions MiR‐379‐5p inhibits proliferation, migration, and invasion of BC by targeting KIF4A.

Background:In recent years, some studies have found that long non-coding RNA Small nucleolar RNA host gene 17 (lncRNA SNHG17) is abnormally expressed in a variety of cancers. However, the prognostic and clinical value of lncRNA SNHG17 expression in cancer is still unclear. This meta-analysis aims to comprehensively elaborate the prognostic value of SNHG17 in cancer.Methods:PubMed, Web of Science, Embase and Cochrane Library were absolutely searched. Hazards ratios (HRs) or odd ratios (ORs) with 95% confidence intervals (CIs) were pooled to estimate the prognostic value of SNHG17 in cancers, including overall survival (OS), progression-free survival (PFS), disease-free survival (DFS), recurrence-free survival (RFS), age, gender, tumor size, differentiation, metastasis, clinical stage, and lymph node metastasis (LNM). In addition, we further searched for the expression and prognosis of SNHG17 in various cancer through TCGA dataset.Results:13 studies containing 1492 cancer patients was finally Selected into this study. The results showed that patients with high SNHG17 expression tended to have shorter OS (HR = 1.78, 95%CI = 1.50-2.10, P < 0.01), DFS (HR = 1.36, 95%CI = 1.06-1.74, P < 0.05), RFS (R = 2.49,95%CI = 1.13-5.49, P < 0.01), and PFS (R = 2.02, 95%CI = 1.24–3.28, P < 0.05). Additionally, increased lncRNA SNHG17 expression was significantly related to worse differentiation (HR = 1.41, 95%CI = 0.82-2.45, P < 0.01), advanced clinical stage (HR = 3.25, 95%CI = 1.77-5.97, P < 0.01), earlier metastasis (HR = 2.33, 95%CI = 1.30-4.19, P < 0.01) and earlier lymph node metastasis (HR = 2.94, 95%CI = 2.15-4.02, P < 0.01). No publication bias was found in all studies and the results were robust. The TCGA dataset further validated that SNHG17 is highly expressed in a variety of cancers and is strongly correlated with OS and DFS.Conclusion:The high expression of lncRNA SNHG17 may predict poor prognosis and advanced clinical stage, which means that SNHG17 may be a possible prognostic biomarker of cancer.