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Yu Y.,General Hospital of Chengdu Military Region of Peoples Liberation Army | Luo Y.,General Hospital of Chengdu Military Region of Peoples Liberation Army | Zheng Y.,General Hospital of Chengdu Military Region of Peoples Liberation Army | Zheng X.,General Hospital of Chengdu Military Region of Peoples Liberation Army | And 3 more authors.
Journal of Cancer Research and Therapeutics | Year: 2016

Purpose: Here we aimed to explore the possible mechanism and potential regulatory relationships in which the non.small.cell lung cancer. (NSCLC)-resisted epidermal growth factor receptor. (EGFR) tyrosine kinase inhibitor erlotinib. Materials and Methods: GSE38310, the gene expression profiles of NSCLC cell lines treated with dimethylsulfoxide or erlotinib, including HCC827, ER3, and T15-2, were downloaded from Gene Expression Omnibus database and preprocessed by normalization. Basing on the regulatory relationships of transcriptional factors obtained from University of California Santa Cruz. (UCSC) database, the differentially expressed genes. (DEGs) were screened using limma package in R with logFC >1 and P < 0.05, and regulatory networks of these DEGs were built with supervised inference of regulatory networks (SIRENE). Subsequently, differentially regulatory networks were compared basing on Limit Fold Change. (LFC) method. Results: Totally 24,380 genes were obtained, 1,531 DEGs were identified in HCC827 cell lines, 37 DEGs in ER3 cell lines, 156 DEGs in T15-2 cell lines. After removing the redundancy genes, 1,575 differentially expressed genes were got at last. Basing on three regulatory networks of HCC827 cell lines, ER3 cell lines and T15-2 cell lies, sex-determining region Y (SRY).related high mobility group-box gene 9. (SOX9) and Suppressor of cytokine signaling 3 (STAT3) were identified by comparing with HCC827 and ER3 networks. And suppressor of cytokine signaling 5 B (STAT5B), early growth response-1 (EGR1) and STAT6 were obtained in comparison of HCC827 and T15-2 networks. Conclusions: The regulatory edges with remarkable changes between HCC827 and ER3, HCC827 and T15.2 included some transcription factors and genes. (e. g., STAT3 and SOX9). STAT3, SOX9, STAT5B, EGR1, and STAT6 might affect the resistance of NSCLC to erlotinib. Source


Yu Y.,General Hospital of Chengdu Military Region of Peoples Liberation Army | Ding S.,General Hospital of Chengdu Military Region of Peoples Liberation Army | Liang Y.,General Hospital of Chengdu Military Region of Peoples Liberation Army | Zheng Y.,General Hospital of Chengdu Military Region of Peoples Liberation Army | And 4 more authors.
Experimental and Therapeutic Medicine | Year: 2014

The aim of the present study was to investigate the correlation between the expression levels of excision repair cross complementing 1 (ERCC1), thymidylate synthase (TYMS), class III β-tubulin (TUBB3), ribonucleoside-diphosphate reductase (RRM1) and topoisomerase IIα (TOP2A) with the clinical characteristics of patients with esophageal squamous cell carcinoma (ESCC). A total of 29 ESCC tissue samples were collected from patients that had not previously received systematic treatment. The expression levels of ERCC1, TYMS, TUBB3, RRM1 and TOP2A were determined using a microarray technique, while Spearman's rank correlation analysis was used to determine the strength of the correlations between the expression levels of the biomarkers and the pathogenesis of esophageal cancer. High expression levels of TYMS and TOP2A were observed in 24% of the samples and high expression levels of TUBB3 and RRM1 were identified in 7% of the samples. Hierarchical clustering analysis of these biomarkers enabled the samples to be grouped. Group 1 patients exhibited low expression levels of TYMS, RRM1 and TOP2A and high expression of ERCC1 and TUBB3, while group 2 samples had low expression levels of ERCC1 and TUBB3 and high expression levels of TYMS, RRM1 and TOP2A. Analysis using Fisher's exact test demonstrated a statistically significant difference in the severity of carcinoma invasion between the two groups (P<0.05), however, no significant differences were identified with regard to the clinical stage or lymphatic metastasis (P>0.05). Therefore, hierarchical clustering analysis indicated that the expression levels of ERCC1, TYMS, TUBB3, RRM1 and TOP2A were closely associated with the clinical characteristics of patients with ESCC. Source

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