Project description:To further understand the expression pattern of long non-coding RNAs in early stage lung squamous cell carcinoma (SCC), we have employed the Arraystar Human LncRNA Microarray V3.0 profiling as a discovery platform to identify lncRNAs which are differentially expressed in early stage lung SCC. Three pairs of tumor tissues and adjacent normal tissues of early stage lung SCC patients are used for microarray analysis.
Project description:To examine whether the local carbon ion radiotherapy affects the characteristics of the metastatic tumors, the expression profiles of the primary tumors and the lung metastases were studied in a mouse squamous cell carcinoma model by applying local radiotherapy with no irradiation (negative control), gamma-ray irradiation (reference beam), and carbon-ion irradiation. Keywords: mouse, squamous cell carcinoma, primary tumor, lung metastases, radiotherapy, carbon ion, gamma ray
Project description:We are investigating the molecular development of squamous cell lung carcinoma based upon analysis of global gene expression profiles representing progressive stages of cancer development, consisting of precancerous, carcinoma-in-situ, and invasive cancer. Keywords: global gene expression analysis, lung cancer development In this study, we have generated 13 SAGE libraries, consisting of five carcinoma-in-situ libraries, six early invasive squamous cell carcinoma libraries, and two reference libraries representing precancerous squamous development.
Project description:This dataset encompassing the profiles of 150 lung cancer tumors was developed to serve as test dataset in the SBV IMPROVER Diagnostic Signature Challenge (sbvimprover.com). The aim of this subchallenge was to verify that it is possible to extract a robust diagnostic signature from gene expression data that can identify stages of different types of lung cancer. Participants were asked to develop and submit a classifier that can stratify lung cancer patients in one of four groups – Stage 1 of Adenocarcinoma (AC Stage 1), Stage 2 of Adenocarcinoma (AC Stage 2), Stage 1 of Squamous cell carcinoma (SCC Stage 1) or Stage 2 of Squamous cell carcinoma (SCC Stage 2). The classifier could be built by using any publicly available gene expression data with related histopathological information and was tested on the independent dataset described here.
Project description:To identify gene expression biomarkers associate with asbestos-related lung squamous cell carcinoma, we analyzed gene expression profiles for a total of 56 lung squamous cell carcinomas using 44K Illumina Gene Expression microarrays. Twenty-six cases had lung asbestos body counts above levels associated with urban dwelling (ARLC-SCC: asbestos-related lung cancer-squamous cell carcinoma) and 30 cases had no lung asbestos bodies (NARLC-SCC: non-asbestos related lung cancer- squamous cell carcinoma). Genes differentially expressed between ARLC-SCC and NARLC-SCC were identified on fold change and P-value, and then prioritised using gene ontology. Total RNA was obtained from fresh frozen lung tumour tissue and stratified by asbestos phenotype. Gene expression profiling was performed to identify differences in the gene profiles of asbestos-related and non-asbestos related lung squamous cell carcinomas.
Project description:There is large variability among lung squamous cell carcinoma (SCC) patients in response to treatment with cisplatin based chemotherapy. LncRNAs is potentional a new type of predictive marker that can identify subgroups of patients who benefit from chemotherapy and it will have great value for treatment guidance. Differentially expressed LncRNAs were identified using microarray profiling of tumors with partial response (PR) vs. with progressive disease (PD) from advanced lung SCC patients treated with cisplatin based chemotherapy and validated by quantitative real-time PCR (qPCR). Results: Compared with the PD samples, 953 lncRNAs were consistently overregulated and 749 lncRNAs
