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Abstract Background Esophageal squamous cell carcinoma (ESCC) is a common gastrointestinal malignancy with poor patient prognosis. Current treatment for ESCC, including immunotherapy, is only beneficial for a small subset of patients. Better characterization of the tumor microenvironment (TME) and the development of novel therapeutic targets are urgently needed. Methods In the present study, we hypothesized that integration of single-cell transcriptomic sequencing and large microarray sequencing of ESCC biopsies would reveal the key cell subtypes and therapeutic targets that determine the prognostic and tumorigenesis of ESCC. We characterized the gene expression profiles, gene sets enrichment, and the TME landscape of a microarray cohort including 84 ESCC tumors and their paired peritumor samples. We integrated single-cell transcriptomic sequencing and bulk microarray sequencing of ESCC to reveal key cell subtypes and druggable targets that determine the prognostic and tumorigenesis of ESCC. We then designed and screened a blocking peptide targeting Chemokine C–C motif ligand 18 (CCL18) derived from tumor associated macrophages and validated its potency by MTT assay. The antitumor activity of CCL18 blocking peptide was validated in vivo by using 4-nitroquinoline-1-oxide (4-NQO) induced spontaneous ESCC mouse model. Results Comparative gene expression and cell–cell interaction analyses revealed dysregulated chemokine and cytokine pathways during ESCC carcinogenesis. TME deconvolution and cell interaction analyses allow us to identify the chemokine CCL18 secreted by tumor associated macrophages could promote tumor cell proliferation via JAK2/STAT3 signaling pathway and lead to poor prognosis of ESCC. The peptide Pep3 could inhibit the proliferation of EC-109 cells promoted by CCL18 and significantly restrain the tumor progression in 4-NQO-induced spontaneous ESCC mouse model. Conclusions For the first time, we discovered and validated that CCL18 blockade could significantly prevent ESCC progression. Our study revealed the comprehensive cell–cell interaction network in the TME of ESCC and provided novel therapeutic targets and strategies to ESCC treatment.

Glioblastoma (GBM) is the most common malignant primary tumor in the human central nervous system. The present study aimed to explore the molecular mechanism by which microRNA (miR)-181a-5p targets the F-box protein 11 (FBXO11) in glioma cells to inhibit cell proliferation and invasion. Reverse transcription-quantitative (RT-q)PCR was performed to detect the expression levels of miR-181a-5p in U251TR cells, U251 cells, primary GBM tissues and relapsed GBM tissues in order to determine the association between miR-181a-5p and the chemoresistance of GBM cells. The expression levels of miR-181a-5p in GBM cells were modulated via transfecting miR-181a-5p mimics and inhibitors. Cell Counting Kit-8 assays were undertaken to assess the effects of miR-181a-5p on drug sensitivity and proliferation of GBM cells. Wound healing assays were performed to examine the effects of miR-181a-5p on the migratory ability of GBM cells. Furthermore, the effects of miR-181a-5p on the invasive ability of GBM cells were analyzed using an in vitro invasion assay. Flow cytometry analysis was carried out to determine whether overexpression of miR-181a-5p can promote the apoptotic rate of GBM cells. RT-qPCR and western blotting were employed to detect the effects of miR-181a-5p on mRNA and protein expression of FBX011. miR-181a-5p exhibited low expression in resistant GBM cell lines and recurrent tumor tissues. Dual-luciferase reporter assays were utilized to detect luciferase activity to verify the targeted regulatory association between miR-181a-5p and FBXO11. Upregulation of miR-181a-5p promoted the sensitivity of GBM cells to temozolomide (TMZ), increased the apoptotic rate of GBM cells and significantly inhibited the invasive and migratory capacities of GBM cells. In drug-resistant glioma cells, compared with the miR-negative control group and the blank group, the expression of miR-181a-5p was significantly upregulated (P<0.01), while the expression of FBXO11 protein was downregulated. miR-181a-5p increased the sensitivity of GBM cells to TMZ. miR-181a-5p significantly inhibited the migratory and invasive capacities of GBM cells. miR-181a-5p may become a novel effective target for the treatment of GBM. The results of dual-luciferase reporter assays indicated that miR-181a-5p could target the 3'-untranslated region of FBXO11. The underlying mechanism may be targeted inhibition of FBXO11 gene expression, or may be associated with apoptosis. [ABSTRACT FROM AUTHOR]

Due to the rapid advancements and commercial usage of the World Wide Web, consumer feedback in the form of subjective comments grows exponentially over various bulletin board systems, online shops and micro-blogs. Extracting much valuable information from those subjective comments is a big challenge. To address this serious imbalance in the subjective comments across the network, this paper proposes a Cost-sensitive hybrid-kernel SVM (C-MSVM) method and applies it to sentiment analysis of comments. Furthermore, the entropy value method is used to determine the so called 'penalty coefficients'. Experiments show that the proposed method achieves remarkable performance gains in terms of classification accuracy and has great potential of being used in real-world applications as compared with traditional classification algorithms. [ABSTRACT FROM AUTHOR]