Gene expression profiling of lung adenocarcinomas and normal lung tissue
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Kabbout M
PROVIDER: S-ECPF-GEOD-43458 | biostudies-other | 2013 Jul
REPOSITORIES: biostudies-other
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Project description:Lung cancer is still the leading cause of cancer-related deaths in the US and worldwide. Understanding the global molecular profiles or transcriptome of lung cancers would strengthen our understanding of the biology of this malignancy. We performed gene expression profiling using the Human Gene 1.0 ST platform of 80 lung adenocarcinomas and 30 normal lung tissues to better understand the biology of this significant fraction of non-small cell lung carcinomas (NSCLCs)
2013-08-06 | GSE43458 | GEO
Project description:Individual variations in the transcriptional profile of normal lung tissue may reflect the lung ADCA patients’ predisposition to a specific clinical stage Associations between clinical outcome of cancer patients and the gene expression signature in primary tumors at time of diagnosis have been reported. To test whether gene expression patterns in the normal tissue surrounding the cancerous tissue might correlate with clinical stage, we compared transcriptome of normal lung samples of adenocarcinoma (ADCA) smoker patients of clinical stage I versus stage >I, and identified 55 differentially expressed genes. Eight out of 10 genes validated by quantitative real-time PCR confirmed statistical association with clinical stage, with 6 genes downregulated in high clinical stage patients, including the TMEM100 gene showing the best statistical association. Five of these 6 genes were also downregulated in lung ADCA tissue as compared to normal tissue. Functional studies in vitro indicated that four of them (SLC14A1, SMAD6, TMEM100, and TXNIP) inhibited colony formation when over-expressed by transfection in lung cancer cell lines, suggesting their potential tumor-suppressor activity. Our findings indicated that individual variations in the transcriptional profile of normal lung tissue may reflect the lung ADCA patients’ predisposition to a specific clinical stage. The 120 RNA samples from normal lung were combined in 24 small pools, with 12 pools constituted by stage I patients and 12 pools by stage >I patients (5 samples per pool)
| S-ECPF-GEOD-31267 | biostudies-other
Project description:Lung cancer is still the leading cause of cancer-related deaths in the US and worldwide. Understanding the global molecular profiles or transcriptome of lung cancers would strengthen our understanding of the biology of this malignancy. We performed gene expression profiling using the Human Gene 1.0 ST platform of 80 lung adenocarcinomas and 30 normal lung tissues to better understand the biology of this significant fraction of non-small cell lung carcinomas (NSCLCs) Lung adenocarcinomas were comrpised of never-smoker (n=40) and smoker (n=40) adenocarcinomas. Normal lung tissue (n=30) were paired to 30 of the never-smoker cases. Gene expression profiling was performed on the samples to identify differentially expressed profiles between lung adenocarcinomas and normal lung tissues.
2013-08-06 | E-GEOD-43458 | biostudies-arrayexpress
Project description:RATIONALE: Studying the genes expressed in samples of tissue from patients with cancer may help doctors identify biomarkers related to cancer.
PURPOSE: This laboratory study is using gene expression profiling to evaluate normal tissue and tumor tissue from patients with colon cancer that has spread to the liver, lungs, or peritoneum.
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Project description:Gene expression profiling (GEP) of normal thyroid tissue from 43 patients with thyroid carcinoma, 6 with thyroid adenoma, 42 with multinodular goiter, and 6 with Graves-Basedow disease was carried out with the aim of achieving a better understanding of the genetic mechanisms underlying the role of normal cells surrounding the tumor in the thyroid cancer progression. Unsupervised and supervised analyses were performed to compare samples from neoplastic and non-neoplastic diseases. GEP and subsequent RT-PCR analysis identified 28 differentially expressed genes. Functional assessment revealed that they are involved in tumorigenesis and cancer progression. The distinct GEP is likely to reflect the onset and/or progression of thyroid cancer, its molecular classification, and the identification of new potential prognostic factors, thus allowing to pinpoint selective gene targets with the aim of realizing more precise preoperative diagnostic procedures and novel therapeutic approaches.This study is focused on the gene expression profiling analysis followed by RT-PCR of normal thyroid tissues from patients with neoplastic and non-neoplastic thyroid diseases. Twenty-eight genes were found to be differentially expressed in normal cells surrounding the tumor in the thyroid cancer. The genes dysregulated in normal tissue samples from patients with thyroid tumors may represent new molecular markers, useful for their diagnostic, prognostic and possibly therapeutic implications.
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Project description:Comparative analysis of gene expression in human tissues is important for understanding the molecular mechanisms underlying tissue-specific control of gene expression. It can also open an avenue for using gene expression in blood (which is the most easily accessible human tissue) to predict gene expression in other (less accessible) tissues, which would facilitate the development of novel gene expression based models for assessing disease risk and progression. Until recently, direct comparative analysis across different tissues was not possible due to the scarcity of paired tissue samples from the same individuals.In this study we used paired whole blood/lung gene expression data from the Genotype-Tissue Expression (GTEx) project. We built a generalized linear regression model for each gene using gene expression in lung as the outcome and gene expression in blood, age and gender as predictors.For ~18 % of the genes, gene expression in blood was a significant predictor of gene expression in lung. We found that the number of single nucleotide polymorphisms (SNPs) influencing expression of a given gene in either blood or lung, also known as the number of quantitative trait loci (eQTLs), was positively associated with efficacy of blood-based prediction of that gene's expression in lung. This association was strongest for shared eQTLs: those influencing gene expression in both blood and lung.In conclusion, for a considerable number of human genes, their expression levels in lung can be predicted using observable gene expression in blood. An abundance of shared eQTLs may explain the strong blood/lung correlations in the gene expression.
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Project description:Tumor-adjacent noncancerous tissues often exhibited abnormalities on molecular levels, which is described as field effect of cancerization. Accumulated evidence demonstrated that filed effect may also play important role in cancer progression. In the present study, we found that the gene expression profile in noncancerous lung tissues adjacent to lung squamous cell carcinoma (SCC) was significantly associated with regional lymph node status of patients. Significance Analysis of Microarrays (SAM) showed that 121 genes were significantly associated with lymph node metastasis (delta=0.75, FDR=0.069). Interestingly, all of the significant genes were up-regulated in the lymph node positive samples. For these genes, the most significant biological GO terms were extracellular structure organization, cell adhesion, regulation of cell motion/migration, and vessel development, etc, which were also involved in EMT process supported by another experiment in vitro. Tumor-adjacent histologically normal lung tissues were collected from 60 primary lung SCC patients, of whom 34 (56.7%) suffered regional lymph node metastasis. Gene expression profiling analysis of these samples was performed using Agilent 4x44K human whole genome gene expression microarray (G4112F).
| S-ECPF-GEOD-40588 | biostudies-other
Project description:Lung adenocarcinoma is the most common type of lung cancer. Unfortunately, lung adenocarcinoma has a poor prognosis and the pathogenesis remains unclear. Mitochondria are important mediators of tumorigenesis. However, the proteomics profile of lung adenocarcinoma mitochondrial proteins has not been elucidated. In this study, we investigated differences in the mitochondrial protein profiles between lung adenocarcinomas and normal tissue. Laser capture microdissection (LCM) was used to isolate the target cells from lung adenocarcinomas and normal tissue. The differential expression of mitochondrial proteins was determined using isobaric tags for relative and absolute quantitation (iTRAQ) combined with two-dimensional liquid chromatography-tandem mass spectrometry (2D-LC-MS/MS). Bioinformatics analysis was performed using Gene Ontology and KEGG databases. As a result, 510 differentially expressed proteins were identified, 315 of which were upregulated and 195 that were downregulated. Of these proteins, 35.5% were mitochondrial or mitochondrial-related and were involved in binding, catalysis, molecular transduction, transport, and molecular structure. Based on the differentially expressed proteins, 63 pathways were significantly enriched through KEGG. The overexpression and cellular distribution of the mitochondrial protein C1QBP in the lung cancer samples was confirmed and verified by Western blotting. The relationship between C1QBP expression and clinicopathological features in lung cancer patients was likewise evaluated using immunohistochemistry, which revealed that the upregulation of C1QBP was associated with lymph node metastasis, pathological grade and clinical stage of TNM. The results indicate that the iTRAQ 2D-LC-MS/MS technique is a potential method for comparing mitochondrial protein profiles between tumor and normal tissue and could aid in identifying novel biomarkers and the mechanisms underlying carcinogenesis.
| S-EPMC5622239 | biostudies-literature
Project description:Targeted therapies based on EGFR mutations or on the ALK fusion oncogene have become the standard treatment for certain patients with lung adenocarcinoma (LUAD). However, most LUAD patients have no EGFR mutation or ALK fusion, and their oncogenetic alterations remain to be characterized. Here we conducted an integrated analysis of public datasets to assess the genomic alterations of 23 highly lung cancer-associated genes. The copy numbers of these genes were measured in ten micro-dissected, paired tumors and normal lung tissues of LUAD patients without EGFR mutations or ALK fusion. The copy numbers of PTEN, RB1, HMGA2, and PTPRD were lower in tumors compared with those for normal tissues. Although there were reduced mRNA levels of PTEN and RB1 in tumors, there was a correlation between copy number and expression only for PTEN. In addition, analysis of the copy number alterations of these 23 genes revealed correlations between EMSY/CCND1, EMSY/PIK3CA, CCND1/CDKN2A, and CCND1/PIK3CA. Our exploration of integrated copy number and gene expression analysis gives priority to the PTEN-PIK3CA and RB1-CCND1 pathways in developing therapeutic strategies for LUAD patients without EGFR mutations or ALK fusion.
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Project description:ObjectiveTo identify differentially expressed genes between fibroid and adjacent normal myometrium in an identical hormonal and genetic background.DesignArray analysis of three leiomyomata and matched adjacent normal myometrium in a single patient.SettingUniversity of Colorado Hospital.Patient(s)A single female undergoing medically indicated hysterectomy for symptomatic fibroids.Interventions(s)mRNA isolation and microarray analysis, reverse-transcriptase polymerase chain reaction, Western blotting, and immunohistochemistry.Main outcome measure(s)Changes in mRNA and protein levels in leiomyomata and matched normal myometrium.Result(s)Expression of 197 genes was increased and 619 decreased significantly by at least twofold, in leiomyomata relative to normal myometrium. Expression profiles between tumors were similar and normal myometrial samples showed minimal variation. Changes in, and variation of, expression of selected genes were confirmed in additional normal and leiomyoma samples from multiple patients.Conclusion(s)Analysis of multiple tumors from a single patient confirmed changes in expression of genes described in previous, apparently disparate, studies, and identified novel targets. Gene expression profiles in leiomyomata are consistent with increased activation of mitogenic pathways and inhibition of apoptosis. Down-regulation of genes implicated in invasion and metastasis, of cancers, was observed in fibroids. This expression pattern may underlie the benign nature of uterine leiomyomata and may aid in the differential diagnosis of leiomyosarcoma.
| S-EPMC2738624 | biostudies-literature