Lung adenocarcinoma (LUAD) is the main subtype of lung cancer. In this study, we found that RBP Mex3a was significantly upregulated in LUAD tissues and elevated Mex3a expression was associated with poor LUAD prognosis and metastasis. Furthermore, we demonstrated that Mex3a knockdown significantly inhibited LUAD cell migration and invasion in vitro and metastasis in nude mice. Transcriptome sequencing indicated that Mex3a affected gene expression linked to ECM-receptor interactions, including laminin subunit alpha 2(LAMA2). RNA immunoprecipitation (RIP) assay revealed Mex3a directly bound to LAMA2 mRNA and Mex3a increased the instability of LAMA2 mRNA in LUAD cells. Furthermore, we discovered that LAMA2 was surprisingly downregulated in LUAD and inhibited LUAD metastasis. LAMA2 knockdown partially reverse the decrease of cell migration and invasion caused by Mex3a knockdown. In addition, we found that both Mex3a and LAMA2 could influence PI3K-AKT pathway, which are downstream effectors of the ECM-receptor pathway. Moreover, the reduced activation of PI3K-AKT pathway in caused by Mex3a depletion was rescued by LAMA2 knockdown. In conclusion, we demonstrated that Mex3a downregulates LAMA2 expression to exert a prometastatic role in LUAD. Our study revealed the prognostic and prometastatic effects of Mex3a in LUAD, suggesting that Mex3a can serve as a prognostic biomarker and a target for metastatic therapy.
Background: Esophageal squamous cell carcinoma (ESCC) is the leading cause of cancer-related mortality.While recent studies have documented the presence of extrachromosomal circular DNAs (eccDNAs) in various tumors, to date, there have been no studies examining the distribution and function of eccDNAs in ESCC.Methods: The eccDNAs from three surgically matched ESCC tissue samples were extracted and amplified by rolling circle amplification after removal of linear DNA and mitochondrial circular DNA. Highthroughput eccDNA sequencing and bioinformatics analysis was performed to study the distribution pattern and the level of eccDNA expression. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed on the genes associated with the differentially expressed eccDNAs. Five up-regulated and five down-regulated candidate eccDNAs were validated by routine polymerase chain reaction (PCR), TOPO-TA cloning and Sanger sequencing. The nucleotides flanking the eccDNA junctions were analyzed to explore the mechanisms of eccDNA formation.Results: A total of 184,557 eccDNAs was identified. The overall length distribution ranged from 33 to 96,8842 base pairs (bp), with the peak at approximately 360 bp. These eccDNAs mainly originated from 5'-and 3'-untranslated regions (UTRs), and rarely from exons, introns, LINE, or Alu repeat regions. The chromosome distribution, length distribution, and genomic annotation of the eccDNAs were comparable between ESCC samples and matched normal epithelium. Nevertheless, 16,031 eccDNAs were found to be differentially expressed between ESCC and matched normal epithelium, including 10,126 up-regulated eccDNAs and 5,905 down-regulated eccDNAs. GO analysis and KEGG pathway analysis showed enriched in cancer pathways, mitogen-activated protein kinase (MAPK) pathway, GTPase-related activity, and cytoskeleton function. PCR, TOPO-TA cloning, and Sanger sequencing validated the junctional sites of five up-regulated candidate eccDNAs and four other unexpected eccDNAs. A repeat nucleotide pattern between the position flanking the start site and that flanking the end site was detected.Conclusions: This study demonstrated the genome-wide presence of eccDNAs, explored the differential expression of eccDNAs, and revealed the potential mechanisms of eccDNAs in ESCC. This work provides further insights into our understanding of genome plasticity, the role of eccDNAs in ESCC, and may contribute to the development of potential clinical therapies.
Background: Lung cancer is a malignant tumor with the highest morbidity and mortality rates worldwide, of which lung adenocarcinoma (LUAD) is the most common subtype. Overall, current treatments of LUAD are not satisfactory; therefore, novel targets need to be explored. Let-7b-3p is an important member of the let-7 family of microRNAs (miRNAs), and has not been studied separately in LUAD. This study aimed to investigate the role and molecular mechanism of let-7b-3p in LUAD.Methods: Herein, let-7b-3p expression was detected by quantitative real-time polymerase chain reaction (qRT-PCR) and fluorescence in situ hybridization (FISH) assays. MTT, colony formation assay, flow cytometry analysis, wound-healing, Transwell and in vivo experiments were conducted to assess let-7b-3p's function in LUAD. The downstream target TFIIB-related factor 2 (BRF2) was predicted using bioinformatics analyses and confirmed by dual-luciferase reporter assay and rescue experiments. Additionally, BRF2 was found to affect the MAPK/ERK pathway through transcriptome sequencing analysis and western blot (WB) assay.Results: Let-7b-3p is downregulated in LUAD cells and tissue samples and low let-7b-3p expression is correlated with a poor prognosis in LUAD patients. Let-7b-3p suppresses the proliferation and metastasis of LUAD cells both in vivo and in vitro by directly targeting the BRF2-mediated MAPK/ERK pathway.Conclusions: Let-7b-3p inhibits the development of LUAD and is an ideal novel therapeutic target for the treatment of LUAD.
Flood control decisions are often involved with quantitative and qualitative criteria. In this paper, a decision model is presented for flood control operations based on the theory of variable fuzzy sets. Using dual comparison, two models computing relative membership grades with qualitative and quantitative criteria are established, respectively. A method integrating subjective preference and iterative weights is proposed for weight-assessment. First, an initial solution of criteria weights is obtained by using proposed fuzzy optimal iteration model. Then, according to their knowledge related to real time flood operations, operators may modify the initial weights if necessary. When the relative membership grades of alternatives belonging to all rankings are fixed by using multi-criterion variable fuzzy model proposed, the decision alternative is chosen according to the ranking characteristic value computed using a defuzzification equation. The case study of Fengman Reservoir flood operation (in China) is provided to illustrate the application of the proposed method. With the incorporation of operator's knowledge related to flood operations, the proposed model is flexible and practical.
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