Lung cancer prediction
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE12771 | GEO | 2010/02/28
SECONDARY ACCESSION(S): PRJNA112765
REPOSITORIES: GEO
Similar Datasets
Project description:We generated a blood-derived transcriptional signature that discriminates patients with lung cancer from non-affected smokers. When applied to blood samples from one of the largest prospective population-based cancer studies (the European Prospective Investigation into Cancer and Nutrition), this signature accurately predicted the occurrence of lung cancer in smokers within two years before the onset of clinical symptoms. Such a blood test could be used as a screening tool to enable early diagnosis of lung cancer at a curable stage. All samples were taken from smokers. EPIC cases were taken from the EPIC trial (a large prospective epidemiological trial in Europe, and are incident cases), Cosmos and BC cases are prevalent cases from a Cologne, Germany based epidemiological trial.
2010-02-28 | E-GEOD-12771 | biostudies-arrayexpress
Project description:One unmet challenge in current lung cancer diagnosis is to accurately differentiate lung cancer patients from those with other lung diseases with similar clinical symptoms and radiological features. Previous studies have reported cases of misdiagnosis for patients with lung cancer mimicking pulmonary tuberculosis (TB) or for TB patients with multiple lung nodules mimicking lung cancer progression, which is concerning for clinical practice in TB-endemic countries/regions. Here, we develop a molecular signature composed of non-canonical small non-coding RNAs in human peripheral blood mononuclear cells (PBMCs), including tRNA-derived small RNAs (tsRNAs), rRNA-derived small RNAs (rsRNAs), and YRNA-derived small RNAs (ysRNAs). This signature consists of i) the tsRNAs derived from tRNA-Ala, tRNA-Asn, tRNA-Leu, tRNA-Lys, and tRNA-Tyr that are upregulated in the lung cancer patients relative to the healthy controls and patients with pulmonary TB, ii) the rsRNAs derived from rRNA-5S that are upregulated in the lung cancer patients but downregulated in TB patients relative to the controls, and iii) the ysRNAs originating from YRNA-RNY1 that are downregulated in the lung cancer patients but upregulated in the TB patients compared with the controls. This diagnostic signature discriminates between healthy controls, lung cancer patients, and pulmonary TB subjects with high accuracy in both the discovery and validation cohorts. We conclude that the PBMC tsRNAs, rsRNAs, and ysRNAs are informative for both screening for and discriminating between lung cancer and pulmonary TB.
2020-11-16 | GSE148861 | GEO
Project description:One unmet challenge in current lung cancer diagnosis is to accurately differentiate lung cancer patients from those with other lung diseases with similar clinical symptoms and radiological features. Previous studies have reported cases of misdiagnosis for patients with lung cancer mimicking pulmonary tuberculosis (TB) or for TB patients with multiple lung nodules mimicking lung cancer progression, which is concerning for clinical practice in TB-endemic countries/regions. Here, we develop a molecular signature composed of non-canonical small non-coding RNAs in human peripheral blood mononuclear cells (PBMCs), including tRNA-derived small RNAs (tsRNAs), rRNA-derived small RNAs (rsRNAs), and YRNA-derived small RNAs (ysRNAs). This signature consists of i) the tsRNAs derived from tRNA-Ala, tRNA-Asn, tRNA-Leu, tRNA-Lys, and tRNA-Tyr that are upregulated in the lung cancer patients relative to the healthy controls and patients with pulmonary TB, ii) the rsRNAs derived from rRNA-5S that are upregulated in the lung cancer patients but downregulated in TB patients relative to the controls, and iii) the ysRNAs originating from YRNA-RNY1 that are downregulated in the lung cancer patients but upregulated in the TB patients compared with the controls. This diagnostic signature discriminates between healthy controls, lung cancer patients, and pulmonary TB subjects with high accuracy in both the discovery and validation cohorts. We conclude that the PBMC tsRNAs, rsRNAs, and ysRNAs are informative for both screening for and discriminating between lung cancer and pulmonary TB.
2020-11-16 | GSE148862 | GEO
Project description:Current smokers develop metastatic prostate cancer more frequently than nonsmokers, suggesting that a tobacco-derived factor induces metastasis. To identify smoking-induced alterations in human prostate tumors, we analyzed gene and protein expression of tumors from current, past, and never smokers and observed distinct molecular alterations in current smokers. Specifically, an immune and inflammation signature was identified in prostate tumors of current smokers that was either attenuated or absent in past and never smokers. Key characteristics of this signature included augmented immunoglobulin expression by tumor-infiltrating B cells, NF-kB activation, and increased interleukin-8 in tumor and blood. In an alternate approach to characterize smoking-induced oncogenic alterations, we explored the effects of nicotine in prostate cancer cells and prostate cancer-prone TRAMP mice. These experiments showed that nicotine increases both invasiveness of human prostate cancer cells and metastasis in tumor-bearing TRAMP mice, indicating that nicotine can induce a phenotype that resembles the epidemiology of smoking-associated prostate cancer progression. In summary, we describe distinct oncogenic alterations in prostate tumors from current smokers and show that nicotine can enhance prostate cancer metastasis. Prostate tissues of cancer patients were selected for RNA extraction and hybridization on Affymetrix microarrays. Gene expression profiles of current, past and never smokers were compared.
2015-04-22 | E-GEOD-68135 | biostudies-arrayexpress
Project description:RNA was obtained from histologically normal bronchial epithelium of smokers during time of clinical bronchoscopy from relatively accessible airway tissue. Gene expression data from smokers with lung cancer was compared with samples from smokers without lung cancer. This allowed us to generate a diagnostic gene expression profile that could distinguish the two classes. This profile could provide additional clinical benefit in diagnosing cancer amongst smokers with suspect lung cancer. Keywords: Disease state analysis
2006-02-27 | GSE4115 | GEO
Project description:Prior microarray studies of smokers at high risk for lung cancer have demonstrated that heterogeneity in bronchial airway epithelial cell gene expression response to smoking can serve as an early diagnostic biomarker for lung cancer. This study examines the relationship between gene expression variation and genetic variation in a central molecular pathway (NRF2-mediated antioxidant response) associated with smoking exposure and lung cancer. We assessed global gene expression in histologically normal airway epithelial cells obtained at bronchoscopy from smokers who developed lung cancer (SC, n=20), smokers without lung cancer (SNC, n=24), and never smokers (NS, n=8). Functional enrichment showed that the NRF2-mediated antioxidant response pathway differed significantly among these groups. Keywords: Global mRNA expression profiling 21 total arrays (20 unique patients) run on total RNA obtained from Bronchial Epithelium of Smokers with Lung Cancer 30 total arrays (24 unique patients) run on total RNA obtained from Bronchial Epithelium of Smokers without Lung Cancer 9 total arrays (8 unique patients) run on total RNA obtained from Bronchial Epithelium of Never Smokers
2010-09-30 | E-GEOD-19027 | biostudies-arrayexpress
Project description:Tobacco smoking is responsible for over 90% of lung cancer cases, and yet the precise molecular alterations induced by smoking in lung that develop into cancer and impact survival have remained obscure. We performed gene expression analysis using HG-U133A Affymetrix chips on 135 fresh frozen tissue samples of adenocarcinoma and paired noninvolved lung tissue from current, former and never smokers, with biochemically validated smoking information. ANOVA analysis adjusted for potential confounders, multiple testing procedure, Gene Set Enrichment Analysis, and GO-functional classification were conducted for gene selection. Results were confirmed in independent adenocarcinoma and non-tumor tissues from two studies. We identified a gene expression signature characteristic of smoking that includes cell cycle genes, particularly those involved in the mitotic spindle formation (e.g., NEK2, TTK, PRC1). Expression of these genes strongly differentiated both smokers from non-smokers in lung tumors and early stage tumor tissue from non-tumor tissue (p<0.001 and fold-change>1.5, for each comparison), consistent with an important role for this pathway in lung carcinogenesis induced by smoking. These changes persisted many years after smoking cessation. NEK2 (p<0.001) and TTK (p=0.002) expression in the noninvolved lung tissue was also associated with a 3-fold increased risk of mortality from lung adenocarcinoma in smokers. Our work provides insight into the smoking-related mechanisms of lung neoplasia, and shows that the very mitotic genes known to be involved in cancer development are induced by smoking and affect survival. These genes are candidate targets for chemoprevention and treatment of lung cancer in smokers. Experiment Overall Design: Overall, 180 adenocarcinoma and non-tumor tissue samples were selected for the analyses, including duplicate or triplicate samples from 14 subjects for quality control. From the original 180 samples, 148 provided sufficient quantity of high-quality RNA for microarray analyses; 13 additional samples were excluded because of problematic assays. Normalization was conducted on the remaining 135 microarrays. After normalization, 13 samples were excluded because of low percentage of tumor cells in the tumor tissues. This report is based on 122 samples, of which 15 duplicates were averaged, resulting in 107 final expression values from 58 tumor and 49 non-tumor tissues from 20 never smokers, 26 former smokers, and 28 current smokers.
2008-04-07 | E-GEOD-10072 | biostudies-arrayexpress
Project description:Current smokers develop metastatic prostate cancer more frequently than nonsmokers, suggesting that a tobacco-derived factor induces metastasis. To identify smoking-induced alterations in human prostate tumors, we analyzed gene and protein expression of tumors from current, past, and never smokers and observed distinct molecular alterations in current smokers. Specifically, an immune and inflammation signature was identified in prostate tumors of current smokers that was either attenuated or absent in past and never smokers. Key characteristics of this signature included augmented immunoglobulin expression by tumor-infiltrating B cells, NF-kB activation, and increased interleukin-8 in tumor and blood. In an alternate approach to characterize smoking-induced oncogenic alterations, we explored the effects of nicotine in prostate cancer cells and prostate cancer-prone TRAMP mice. These experiments showed that nicotine increases both invasiveness of human prostate cancer cells and metastasis in tumor-bearing TRAMP mice, indicating that nicotine can induce a phenotype that resembles the epidemiology of smoking-associated prostate cancer progression. In summary, we describe distinct oncogenic alterations in prostate tumors from current smokers and show that nicotine can enhance prostate cancer metastasis.
2015-04-22 | GSE68137 | GEO
Project description:Current smokers develop metastatic prostate cancer more frequently than nonsmokers, suggesting that a tobacco-derived factor induces metastasis. To identify smoking-induced alterations in human prostate tumors, we analyzed gene and protein expression of tumors from current, past, and never smokers and observed distinct molecular alterations in current smokers. Specifically, an immune and inflammation signature was identified in prostate tumors of current smokers that was either attenuated or absent in past and never smokers. Key characteristics of this signature included augmented immunoglobulin expression by tumor-infiltrating B cells, NF-kB activation, and increased interleukin-8 in tumor and blood. In an alternate approach to characterize smoking-induced oncogenic alterations, we explored the effects of nicotine in prostate cancer cells and prostate cancer-prone TRAMP mice. These experiments showed that nicotine increases both invasiveness of human prostate cancer cells and metastasis in tumor-bearing TRAMP mice, indicating that nicotine can induce a phenotype that resembles the epidemiology of smoking-associated prostate cancer progression. In summary, we describe distinct oncogenic alterations in prostate tumors from current smokers and show that nicotine can enhance prostate cancer metastasis.
2015-04-22 | GSE68135 | GEO
Project description:Current smokers develop metastatic prostate cancer more frequently than nonsmokers, suggesting that a tobacco-derived factor induces metastasis. To identify smoking-induced alterations in human prostate tumors, we analyzed gene and protein expression of tumors from current, past, and never smokers and observed distinct molecular alterations in current smokers. Specifically, an immune and inflammation signature was identified in prostate tumors of current smokers that was either attenuated or absent in past and never smokers. Key characteristics of this signature included augmented immunoglobulin expression by tumor-infiltrating B cells, NF-kB activation, and increased interleukin-8 in tumor and blood. In an alternate approach to characterize smoking-induced oncogenic alterations, we explored the effects of nicotine in prostate cancer cells and prostate cancer-prone TRAMP mice. These experiments showed that nicotine increases both invasiveness of human prostate cancer cells and metastasis in tumor-bearing TRAMP mice, indicating that nicotine can induce a phenotype that resembles the epidemiology of smoking-associated prostate cancer progression. In summary, we describe distinct oncogenic alterations in prostate tumors from current smokers and show that nicotine can enhance prostate cancer metastasis.
2015-04-22 | GSE68136 | GEO