Project description:The functions of EGR1, a multifunctional transcription factor, in prostate cancer are well documented. However, little is known about the functions of EGR1 in lung cancer. we observed the function of EGR1 in non-small cell lung carcinoma (NSCLC) and identified the genes that influence cell fate and tumor development. We used microarrays to detail the global programme of gene expression and identified genes differentially expressed when EGR1-overexpressed.
Project description:The tumor microenvironment strongly influences cancer development, progression and metastasis. The role of carcinoma-associated fibroblasts (CAFs) in these processes and their clinical impact has not been studied systematically in non-small cell lung carcinoma (NSCLC). We established primary cultures of CAFs and matched normal fibroblasts (NFs) from 15 resected NSCLC. We demonstrate that CAFs have greater ability than NFs to enhance the tumorigenicity of lung cancer cell lines. Microarray gene expression analysis of the 15 matched CAF and NF cell lines identified 46 differentially expressed genes, encoding for proteins that are significantly enriched for extracellular proteins regulated by the TGF-beta signaling pathway. We have identified a subset of 11 genes that formed a prognostic gene expression signature, which was validated in multiple independent NSCLC microarray datasets. Functional annotation using protein-protein interaction analyses of these and published cancer stroma-associated gene expression changes revealed prominent involvement of the focal adhesion and MAPK signalling pathways. Fourteen (30%) of the 46 genes also were differentially expressed in laser-capture micro-dissected corresponding primary tumor stroma compared to the matched normal lung. Six of these 14 genes could be induced by TGF-beta1 in NF. The results establish the prognostic impact of CAF-associated gene expression changes in NSCLC patients. This SuperSeries is composed of the following subset Series: GSE22862: Prognostic Gene Expression Signature of Carcinoma Associated Fibroblasts in Non-Small Cell Lung Cancer [expression profiling_CAFs] GSE22863: Prognostic Gene Expression Signature of Carcinoma Associated Fibroblasts in Non-Small Cell Lung Cancer [expression profiling_NSCLC stroma] GSE27284: Prognostic Gene Expression Signature of Carcinoma Associated Fibroblasts in Non-Small Cell Lung Cancer [methylation profiling] GSE27289: Prognostic Gene Expression Signature of Carcinoma Associated Fibroblasts in Non-Small Cell Lung Cancer [genome variation profiling]
Project description:Affymetrix exon array data set (HuEx-1.0_st) derived from matched pairs of non-small cell lung cancer (NSCLC) and normal adjacent lung tissue (NAT). This data set includes both the adenocarcinoma (AdCa) as well as the squamous cell carcinoma (SCC) subtype of NSCLC.
Project description:Non-small cell lung cancer (NSCLC, n=22) and normal adjacent control biopsies (n=18) from patients with lung cancer were obtained for Affymetrix GeneChip analysis. NSCLC samples were grouped into squamous cell carcinoma (SCC, n=11) and adenocarcinoma (AC, n=11) samples.
Project description:Through multidimensional genomic/protein multiomics analysis and clinical information integration of cancer tissue samples, a prognostic method for lung cancer, including non-small cell lung cancer (NSCLC), is developed and applied to precision medical care after discovering new drug targets.
Project description:Through multidimensional genomic/protein multiomics analysis and clinical information integration of cancer tissue samples, a prognostic method for lung cancer, including non-small cell lung cancer (NSCLC), is developed and applied to precision medical care after discovering new drug targets.
Project description:Through multidimensional genomic/protein multiomics analysis and clinical information integration of cancer tissue samples, a prognostic method for lung cancer, including non-small cell lung cancer (NSCLC), is developed and applied to precision medical care after discovering new drug targets.
Project description:High expression of miR-494-3p have been associated with poor prognosis in non-small cell lung cancer (NSCLC). However, the role of miR-494-3p in the development and progression of NSCLC remains elusive. In this study, we found that miR-494-3p was overexpressed in both lung adenocarcinoma and lung squamous cell carcinoma in the Clinical Proteomic Tumor Analysis Consortium and Cancer Genome Atlas databases. A bioinformatic analysis revealed that representative pathways associated with cancer metastasis were enriched in the genes positively correlated with miR-494-3p expression levels, suggesting the potential involvement of miR-494-3p in aggressive properties of NSCLC. To identify potential targets of miR-494-3p, we explored genes inversely correlated with miR-494-3p in the mRNA expression datasets of NSCLC cell lines obtained from the Cancer Dependency Map. Integration of RNA sequencing analysis of NSCLC cells with miR-494-3p inhibition and a bioinformatic search of miRNA target prediction algorithms resulted in identification of SET/I2PP2A as a direct target of miR-494-3p. We found that suppression of SET/I2PP2A by miR-494-3p promoted cell migration and invasion, but not cell viability, in NSCLC cells, indicative of miR-494-3p and its downstream molecules as potential therapeutic targets in NSCLC with aggressive phenotypes.