Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1026552 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Lung cancer, majorly divided into non-small cell lung cancer (80-85%) and small cell lung cancer (15-20%), is the leading cause of cancer death in USA. Squamous Cell Carcinoma (SCC) is one of major subtypes of non-small cell lung cancer. Although genomic analysis of tumors from SSC patients have identified frequently mutated genes in these tumors, it’s still largely unknown which genes determine SCC development. Now we found that ablation of alone Lkb1 could induce SCC around 12 months of age. Therefore, transcriptome analysis of lung SCC of CCSPiCreLkb1f/f mice will help us understand how Lkb1 regulates the development of lung SCC.
2019-03-01 | GSE111313 | GEO
Project description:We performed lung ADC and SCC transcriptome profiling from KRasG12D; Fbw7f/f murine lung tumors by RNA-seq and compared them with a consensus lung SCC signature using data from two different SCC models (Lkb1f/f; Ptenf/f, Cancer Cell 2014 and LSL-Sox2; Ptenf/f; Cdkn2abf/f, Cancer Cell 2016) that has been validated in human lung SCC
2019-01-08 | GSE123716 | GEO
Project description:Lung cancer, majorly divided into non-small cell lung cancer (80-85%) and small cell lung cancer (15-20%), is the leading cause of cancer death in USA. Squamous Cell Carcinoma (SCC) is one of major subtypes of non-small cell lung cancer. Although genomic analysis of tumors from SSC patients have identified frequently mutated genes in these tumors, it’s still largely unknown which genes determine SCC development. Now we found that ablation of Lkb1 and Pten could induce SCC and ASC around 3 months of age. Therefore, transcriptome analysis of lung SCC and ASC of CCSPiCreLkb1f/f mice will help us understand how Lkb1 and Pten regulate the development of lung SCC and ASC.
2019-03-01 | GSE111335 | GEO
Project description:We investigated whether the miRNA expression could distinguish lung cancers from normal tissues, examining 116 pairs of primary lung cancers with their corresponding adjacent normal lung tissues collected a minimum of 5 cm from the tumor. Our analysis identified a five microRNA classifier could distinguish malignant lung cancer lesions from adjacent normal tissues. SCLC could be distinguished from non small lung cancer by microRNAs profiling. Survival associations were examined with the SCC and adenocarcinoma subtypes. High hsa-miR-31 expression was associated with poor survival in SCC, and the association was confirmed in 20 independent SCC patients by qRT-PCR assays. Overall these findings may help advance the use of microRNA profiling in personalized diagnosis of lung cancers. Key Words: microRNA; lung cancer; microarray; diagnosis; prognosis
2010-02-11 | GSE15008 | GEO
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.
2012-01-30 | GSE23822 | GEO
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.
2012-01-30 | E-GEOD-23822 | biostudies-arrayexpress
Project description:Lung cancer is the leading cause of cancer death in USA. Squamous Cell Carcinoma (SCC) is one of the subtypes of lung cancer. It is still largely unknown which genes or pathways regulate lung SCC development. Recently, we found JNK1/2 pathway was inhibited in mouse lung SCC induced by double ablation of Pten and Lkb1 in mouse lung epithelial cells. Now we aim to identify a genome-wide molecular signature of JNK1/2 signaling in mouse squamous cell carcinoma cells and determine pathways that transduce JNK1/2 signaling.
2019-03-01 | GSE111314 | GEO
Project description:We investigated whether the miRNA expression could distinguish lung cancers from normal tissues, examining 116 pairs of primary lung cancers with their corresponding adjacent normal lung tissues collected a minimum of 5 cm from the tumor. Our analysis identified a five microRNA classifier could distinguish malignant lung cancer lesions from adjacent normal tissues. SCLC could be distinguished from non small lung cancer by microRNAs profiling. Survival associations were examined with the SCC and adenocarcinoma subtypes. High hsa-miR-31 expression was associated with poor survival in SCC, and the association was confirmed in 20 independent SCC patients by qRT-PCR assays. Overall these findings may help advance the use of microRNA profiling in personalized diagnosis of lung cancers. Key Words: microRNA; lung cancer; microarray; diagnosis; prognosis cancer vs adjacent normal tissues
2010-02-10 | E-GEOD-15008 | biostudies-arrayexpress
Project description:To identify genes associated with lung cancer progression, we examined gene expression profiles of tumor cells from 20 patients with primary, untreated non-small cell lung cancer (10 adenocarcinomas (AC) and 10 squamous cell carcinomas (SCC)) in comparison to lung tissue of 23 patients with stage IIIB or stage IV non-small cell lung cancer (15 AC and 8 SCC). Bronchoscopical biopsies from patient with recurrent lung tumor were taken after initial treatment. Cancer cells were isolated using laser capture microdissection in order to obtain pure samples of tumor cells. For expression analysis, microarrays covering 8793 defined genes (Human HG Focus Array, Affymetrix) were used. Array data were normalized and analysed for significant differences using variance stabilizing transformation (VSN) and significance analysis of microarrays (SAM), respectively. Genes were considered to be up- or down-regulated when the ratio between primary and recurrent tumor samples were at least 1.5-fold differentially expressed with an estimated false discovery rate: < 5%. Based on differentially expressed genes, primary cancer samples could be separated from recurrent tumor samples. We identified 115 and 124 significantly regulates genes in AC and SCC, respectively. For example, in recurrent AC we found increased expression of genes related to the wingless (FZD6, RYK, MYC) and calcium (CALM1, ATB2B1, S100A2) signalling pathways which might play a role in metastasis of tumor cells. Other differentially expressed genes were related to cell cycle (CCND1, CDK2), transcription factors (TTF1, TAF2, YY1), nuclear mRNA splicing and mRNA processing (SFRS1, HNRPL), protein-nucleus import (NUTF2, KPNB1, NUP50) and chromatin modification (HIST1H4C, SMARCC1). In SCC, we found an increased expression of CTNNB1, an important mediator in wingless signalling pathway. Among the down-regulated genes in SCC, the utmost fraction belonged to genes coding for ubiquitin mediated proteolysis (UCHL1, PSMA3, COPS6) and ribosomal proteins (RPS26, RPL7A, RPS15). Other down regulated genes were related to transcription factors (TCEA2, TAF10), nuclear mRNA splicing and mRNA processing (SNRPD2, HNRPM). In conclusion, a distinct pattern of gene expression is found during the progression from primary carcinoma to recurrent NSCLC. Our microarray-based expression profiling revealed interesting novel candidate genes and pathways that may contribute to lung cancer progression. Experiment Overall Design: - 20 patients with primary, untreated non-small cell lung cancer (10adenocarcinomas (AC) and 10 squamous cell carcinomas (SCC)) in comparison to lung tissue of 23 patients with stage IIIB or stage IV non-small cell lung cancer (15 AC and 8 SCC) Experiment Overall Design: - Human HG Focus Array, Affymetrix) were used Experiment Overall Design: - Array data were normalized and analysed for significant differences using variance stabilizing transformation (VSN) and significance analysis of microarrays (SAM) Experiment Overall Design: - Genes were considered to be up- or down-regulated when the ratio between primary and recurrent tumor samples were at least 1.5-fold differentially expressed with an estimated false discovery rate: < 5%
2008-06-15 | E-GEOD-7880 | biostudies-arrayexpress