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Background: Recently, long non-coding RNAs (lncRNAs) have been elucidated to play essential roles in cancers, and the recognition of lncRNA expression patterns in nasopharyngeal carcinoma (NPC) may be helpful for indicating novel mechanisms underlying NPC carcinogenesis. Herein, we conducted this study to probe into the function of lncRNA ZNF667-AS1 in NPC progression with the involvement of microRNA-1290 (miR-1290) and actin-binding LIM protein 1 (ABLIM1). Materials and Methods: In silico analysis screened differentially expressed genes and miRNAs in NPC and predicted potential mechanisms. ZNF667-AS1 expression was detected in NPC tissues and cells. The gain-and-loss function assays were performed to explore the effects of lncRNA ZNF667-AS1 and miR-1290 in NPC cell biological behaviors. In vivo experiments were further conducted to confirm the in vitro results. Results: In silico analysis predicted that ZNF667-AS1 was diminished in NPC, which may downregulate ABLIM1 through sponging miR-1290. ZNF667-AS1 was poorly expressed in NPC tissues and cells, and overexpression of ZNF667-AS1 inhibited growth of NPC cells. ZNF667-AS1 competitively bound with miR-1290, thereby upregulating ABLIM1. miR-1290 resulted in the promotion of NPC cell progression by suppressing ABLIM1. Overexpression of ZNF667-AS1 or suppression of miR-1290 inhibited tumorigenicity of NPC cells in vivo. Conclusion: This study highlights that lncRNA ZNF667-AS1 promotes ABLIM1 expression by sponging miR-1290 to suppress NPC cell progression.

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To examine the outcomes of concurrent versus sequential whole-brain radiotherapy (WBRT) and epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) in nonsmall cell lung cancer (NSCLC) patients with EGFR mutation.Retrospectively 105 patients with NSCLC, brain metastasis, and EGFR mutation (Affiliated Hospital of Guangdong Medical University, 01/2011 to 12/2014) were grouped as: EGFR-TKIs alone (n = 39, group A), EGFR-TKIs + concurrent radiotherapy (n = 34, group B), and radiotherapy followed by EGFR-TKIs (n = 32, group C).The intracranial objective response rates of groups A, B, and C were 66.7%, 85.3%, and 75%, respectively (P < .05). The median intracranial progression-free survival of groups A, B, and C were 6.8, 12.4, and 9.1 months, respectively (P < .05). The median extracranial progression-free survival of groups A, B, and C were 7.8, 9.4, and 8.3 months, respectively (P > .05).EGFR-TKIs and WBRT by simultaneous application improved the short- and long-term benefits to patients with NSCLC brain metastasis carrying EGFR mutation compared to concurrent application or EGFR-TKIs alone without additional adverse events.

Doublesex and Mab-3 related Transcription Factor 3 (DMRT3) is associated with the prognosis of some tumors. It is possible to explore the role of DMRT3 in the cancer process using bioinformatic approaches and experimental validation. We comprehensively explored the clinical and immunological characteristics of DMRT3. The DMRT3 expression is abnormal in human cancers and correlates with clinical staging. A high DMRT3 expression is significantly associated with poor overall survival (OS) in KIRC, KIRP, LUAD, and UCEC. Amplification was the greatest frequency of the DMRT3 alterations in pan-cancer. The OS was significantly lower in the DMRT3 altered group than in the DMRT3 unaltered group (P = 0.0276). The DMRT3 expression was significantly associated with MSI in three cancer types and TMB in six cancer types. The DMRT3 expression was significantly correlated with the level of the immune cell infiltration and the immune checkpoint genes. The DMRT3 was involved in some pathways in pan-cancer. DMRT3 may play a role in chemotherapy and may be associated with chemoresistance. A ceRNA network of KCNQ1OT1/miR-335-5p/DMRT3 was constructed in LUAD. DMRT3 was significantly upregulated in the LUAD cell lines. DMRT3 was aberrantly expressed in pan-cancer and may promote tumorigenesis and progression via different mechanisms. DMRT3 can be used as a therapeutic target to treat cancer in humans.

Background: Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are considered to be more effective than chemotherapy in the treatment of EGFR-mutant advanced non-small cell lung cancer (NSCLC). However, in addition to EGFR-sensitive mutations, the genetic factors that affect the prognosis of patients who receive TKI treatment are not yet clear. Methods: The clinical data of 36 NSCLC patients with EGFR mutation who received TKI treatment were retrospectively analyzed. Liquid re-biopsy with next generation sequencing (NGS) analysis was performed to analyze genetic alterations and potential resistance mechanisms. Results: All of the patients harbored actionable sensitive EGFR mutations by NGS, with the major types being 19del or 21L858R (52.78%, 19/36 and 55.56%, 20/36, respectively). The 3 most frequent accompanying somatic mutations were TP53 (12, 48.4%), KRAS (7, 19.44%) and PIK3CA (3, 8.33%). Concomitant mutations were present in 16 patients (44.44%). The occurrence of co-mutation was found to be significantly related to a history of smoking [87.5% (7 of 8) vs. 32.14% (9 of 28); Pearson chi-square, P=0.005]. Patients who received EGFR-TKIs treatment (P=0.0079) or third-generation EGFR-TKIs only (P=0.0468) had better progression-free survival (PFS). Concomitant mutations were significantly related to lower objective response rates (43.75% vs. 80.0%; P=0.024) and poorer PFS (P<0.001). Patients with concomitant genetic alterations had a worse response after receiving EGFR-TKIs treatment (P=0.0033).Conclusions: Our research underscores the importance of using multiple molecular profiles. Concomitant genetic alterations were significantly associated with response to EGFR targeted therapy in NSCLC.Therefore, research on multi-drug or sequential therapy to address the covariation that drives drug resistance is urgently needed.

Background. Preeclampsia (PE), which has a high incidence rate worldwide, is a potentially dangerous syndrome to pregnant women and newborns. However, the exact mechanism of its pathogenesis is still unclear. In this study, we used bioinformatics analysis to identify hub genes, establish a logistic model, and study immune cell infiltration to clarify the physiopathogenesis of PE. Methods. We downloaded the GSE75010 and GSE10588 datasets from the GEO database and performed weighted gene coexpression network analysis (WGCNA) as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The online search tool for the retrieval of interacting genes and Cytoscape software were used to identify hub genes, which were then used to establish a logistic model. We also analyzed immune cell infiltration. Finally, we verified the expression of the genes included in the predictive model via RT-PCR. Results. A total of 100 and 212 differently expressed genes were identified in the GSE75010 and GSE10588 datasets, respectively, and after overlapping with WGCNA results, 17 genes were identified. KEGG and GO analyses further indicated the involvement of these genes in bioprocesses, such as gonadotropin secretion, immune cell infiltration, and the SMAD and MAPK pathways. Additionally, protein-protein interaction network analysis identified 10 hub genes, six (FLT1, FLNB, FSTL3, INHA, TREM1, and SLCO4A1) of which were used to establish a logistic model for PE. RT-PCR analysis also confirmed that, except FSTL3, these genes were upregulated in PE. Our results also indicated that macrophages played the most important role in immune cell infiltration in PE. Conclusion. This study identified 10 hub genes in PE and used 6 of them to establish a logistic model and also analyzed immune cell infiltration. These findings may enhance the understanding of PE and enable the identification of potential therapeutic targets for PE.