Driver gene mutations among non-small cell lung cancer tissues and its clinical significance / 临床与实验病理学杂志

Purpose To investigate the mutation rate of EGFR,KRAS,ALK and ROS1 in non-small cell lung cancer (NSCLC) and its association with clinical or pathological characteristics.Methods 86 NSCLC tissues were included.Fluorescence PCR was used to detect the EGFR,KRAS mutation and ALK,ROS1 fusion gene.The association between EGFR,KRAS,ALK and ROS1 gene and age,gender,smoking history,histological type,lymph node metastasis and other clinical pathological features were analyzed.Results The total mutation rate of the driver gene in NSCLC patients was 62.8％ (54/86).EGFR mutation rate was 76％ (41/54).KRAS mutation rate was 9.3％ (5/54).ALK gene fusion mutation rate was 13.0％ (7/54),and in one of the patients,EGFR 19 deletion mutation and ALK fusion co-exist.ROS1 gene fusion mutation was 3.8％ (2/54).EGFR gene mutation rate was higher in adenocarcinoma and female (P ＜ 0.05),but no significant association was found in age,smoking history and lymph node metastasis (P ＞0.05).KRAS,ALK,ROS1 genes had no obvious correlation with clinical pathological features (P ＞ 0.05).Conclusion The EGFR mutation and ALK fusion was rather high in patients with NSCLC.More attention should be paid to them.Though KRAS,ROS1 mutations and double mutations were low in NSCLC patients,they should not be ignored.

Specific microRNA expression profiles of lung adenocarcinoma in Xuanwei region and bioinformatic analysis for predicting their target genes and related signaling pathways / 南方医科大学学报

<p><b>OBJECTIVE</b>To identify differentially expressed microRNAs (miRNAs) related to lung adenocarcinoma in Xuanwei region and predict their target genes and related signaling pathways based on bioinformatic analysis.</p><p><b>METHODS</b>High-throughput microarray assay was performed to detect miRNA expression profiles in 34 paired human lung adenocarcinoma and adjacent normal tissues (including 24 cases in Xuanwei region and 10 in other regions). Gene ontology and KEGG pathway analyses were used to predict the target genes and the regulatory signaling pathways.</p><p><b>RESULTS</b>Thirty-four miRNAs were differentially expressed in lung adenocarcinoma tissues in cases in Xuanwei region as compared with cases in other regions, including 23 upregulated and 11 downregulated miRNAs. The predicted target genes included GF, RTK, SOS, IRS1, BCAP, CYTOKINSR, ECM, ITGB, FAK and Gbeta;Y involving the PI3K/Alt, WNT and MAPK pathways.</p><p><b>CONCLUSION</b>The specific microRNA expression profiles of lung adenocarcinoma in cases found in Xuanwei region allow for a better understanding of the pathogenesis of lung adenocarcinoma in Xuanwei. The predicted target genes may involve the PI3K/Alt, WNT and MAPK pathways.</p>