Comprehensive analysis to identify a novel diagnostic marker of lung adenocarcinoma and its immune infiltration landscape.

Background: Lung cancer continues to be a problem faced by all of humanity. It is the cancer with the highest morbidity and mortality in the world, and the most common histological type of lung cancer is lung adenocarcinoma (LUAD), accounting for about 40% of lung malignant tumors. This study was conducted to discuss and explore the immune-related biomarkers and pathways during the development and progression of LUAD and their relationship with immunocyte infiltration. Methods: The cohorts of data used in this study were downloaded from the Gene Expression Complex (GEO) database and the Cancer Genome Atlas Program (TCGA) database. Through the analysis of differential expression analysis, weighted gene co-expression network analysis (WGCNA), and least absolute shrinkage and selection operator(LASSO), selecting the module with the highest correlation with LUAD progression, and then the HUB gene was further determined. The Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were then used to study the function of these genes. Single-sample GSEA (ssGSEA) analysis was used to investigate the penetration of 28 immunocytes and their relationship with HUB genes. Finally, the receiver operating characteristic curve (ROC) was used to evaluate these HUB genes accurately to diagnose LUAD. In addition, additional cohorts were used for external validation. Based on the TCGA database, the effect of the HUB genes on the prognosis of LUAD patients was assessed using the Kaplan-Meier curve. The mRNA levels of some HUB genes in cancer cells and normal cells were analyzed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Results: The turquoise module with the highest correlation with LUAD was identified among the seven modules obtained with WGCNA. Three hundred fifty-four differential genes were chosen. After LASSO analysis, 12 HUB genes were chosen as candidate biomarkers for LUAD expression. According to the immune infiltration results, CD4 + T cells, B cells, and NK cells were high in LUAD sample tissue. The ROC curve showed that all 12 HUB genes had a high diagnostic value. Finally, the functional enrichment analysis suggested that the HUB gene is mainly related to inflammatory and immune responses. According to the RT-qPCR study, we found that the expression of DPYSL2, OCIAD2, and FABP4 in A549 was higher than BEAS-2B. The expression content of DPYSL2 was lower in H1299 than in BEAS-2B. However, the expression difference of FABP4 and OCIAD2 genes in H1299 lung cancer cells was insignificant, but both showed a trend of increase. Conclusions: The mechanism of LUAD pathogenesis and progression is closely linked to T cells, B cells, and monocytes. 12 HUB genes(ADAMTS8, CD36, DPYSL2, FABP4, FGFR4, HBA2, OCIAD2, PARP1, PLEKHH2, STX11, TCF21, TNNC1) may participate in the progression of LUAD via immune-related signaling pathways.

Circ-EIF3I facilitates proliferation, migration, and invasion of lung cancer via regulating the activity of Wnt/ß-catenin pathway through the miR-1253/NOVA2 axis.

Many studies have shown that circular RNA (circRNA) is an important regulator mediating the malignant progression of cancer. However, the role and mechanism of circ-EIF3I in lung cancer (LC) development are still unclear. A total 36 paired LC tumor tissues and adjacent normal tissues were enrolled. The expression of circ-EIF3I, microRNA (miR)-1253, and neuro-oncological ventral antigen 2 (NOVA2) was measured by quantitative real-time PCR. The proliferation, apoptosis, migration, and invasion of LC cells were determined by MTT assay, colony formation assay, flow cytometry, and transwell assay. Dual-luciferase reporter assay was performed to verify the interaction between miR-1253 and circ-EIF3I or NOVA2. The protein levels of NOVA2 and Wnt/ß-catenin pathway-related markers were detected by western blot analysis. Xenograft tumor was constructed to explore the function of circ-EIF3I on LC tumor growth. Circ-EIF3I was upregulated in LC tumor tissues and cells. Silenced circ-EIF3I could suppress the proliferation, migration, invasion, and enhance the apoptosis of LC cells in vitro, as well as reduce LC tumor growth in vivo. Circ-EIF3I could sponge miR-1253, and miR-1253 inhibitor overturned the regulation of circ-EIF3I knockdown on LC cell progression. NOVA2 was confirmed to be a target of miR-1253, which could reverse the inhibitory effects of miR-1253 on LC cell progression. Further experiments showed that circ-EIF3I regulated NOVA2 expression by sponging miR-1253. In addition, circ-EIF3I silencing could inhibit the activity of Wnt/ß-catenin pathway via regulating the miR-1253/NOVA2 axis. Circ-EIF3I might function as an oncogene in LC, which promoted LC progression by the miR-1253/NOVA2/Wnt/ß-catenin network.

Meta analysis of XRCC3 Thr241Met polymorphism and lung cancer susceptibility of populations in East Asia.

OBJECTIVE: To assess the relation between XRCC3 Thr241Met polymorphism and lung cancer susceptibility of populations in East Asia. METHODS: Related studies of XRCC3 Thr241Met polymorphism and lung cancer susceptibility of populations in East Asia were collected through searching the Pubmed, Embase Library, SPRINGER, CNKI and CSSCI. RESULTS: According to the entry criteria, there were 8 case-control studies in the assessing system and there were 6 321 study cases, including 3 215 patients with lung cancer and 3 106 cases without cancers. Meta analysis results showed the combined OR value of the ratio of genotype Thr/Met+Met/Met and Thr/Thr was 1.03 (95%CI: 0.89-1.20) (P>0.05). CONCLUSIONS: XRCC3 Thr241Met polymorphism may not related to lung cancer susceptibility of populations in East Asia. Allele 241Met did not increase the risk of lung cancer.