RNA expression of lung adenocarcinoma and paired paracancerous tissue
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ABSTRACT:
PROVIDER: PRJNA610611 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Differentially RNA expression of lung adenocarcinoma and paired paracancerous tissue
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Project description:This study aims to find the specific lncRNA molecule relating BMs from LADC in situ tumor to BM tumor tissue using gene chip technology and, combined with biological information database, through the competitive endogenous RNA (ceRNA) mechanism for microRNA (miRNA) related to specific lncRNA, to verify the possible target genes and therefore to explore the role and mechanism of specific lncRNA in BMs from LADC. By detecting the gene expression profiles of lncRNA and mRNA in cancer tissues of five cases of LADC and the paired paracancerous tissue samples, it was found that there were a large number of differentially expressed lncRNAs and mRNAs in LADC tissues and paracancerous tissues. By detecting the gene expression profiles of lncRNA and mRNA in three cases of BMs from LADC and matched paracancerous tissues, it was found that there were significant differences in the expression of lncRNAs and mRNAs between BM tumors of LADC and paracancerous tissues. These findings will provide a scientific basis for the early diagnosis and targeted therapy of BMs from LADC for application in further studies. Differential expression of lncRNAs and mRNAs in cancer tissues of five cases of LADC and the paired paracancerous tissue samples, it was found that there were a large number of differentially expressed lncRNAs and mRNAs in LADC tissues and paracancerous tissues.
2020-03-06 | GSE146459 | GEO
Project description:Differentially RNA expressions of brain metastases from lung adenocarcinoma and paired paracancerous tissue
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Project description:This study aims to find the specific lncRNA molecule relating BMs from LADC in situ tumor to BM tumor tissue using gene chip technology and, combined with biological information database, through the competitive endogenous RNA (ceRNA) mechanism for microRNA (miRNA) related to specific lncRNA, to verify the possible target genes and therefore to explore the role and mechanism of specific lncRNA in BMs from LADC. By detecting the gene expression profiles of lncRNA and mRNA in cancer tissues of five cases of LADC and the paired paracancerous tissue samples, it was found that there were a large number of differentially expressed lncRNAs and mRNAs in LADC tissues and paracancerous tissues. By detecting the gene expression profiles of lncRNA and mRNA in three cases of BMs from LADC and matched paracancerous tissues, it was found that there were significant differences in the expression of lncRNAs and mRNAs between BM tumors of LADC and paracancerous tissues. These findings will provide a scientific basis for the early diagnosis and targeted therapy of BMs from LADC for application in further studies. Differential expression of lncRNAs and mRNAs in cancer tissues of three cases of BMs from LADC and the paired paracancerous tissue samples, it was found that there were a large number of differentially expressed lncRNAs and mRNAs in BMs tissues and paracancerous tissues.
2020-03-06 | GSE146460 | GEO
Project description:Our group previously reported the gene expression profiles of four stages of human lung development, and the expression of one group of genes (PTN1 genes) steadily decreased during lung development, the data included four stages of human lung development and 69 lung adenocarcinoma (ADC) samples, and their gene expression profile data are available in the GEO (GSE43767). Our group has already performed another study with 69 lung squamous cell carcinoma (SCC) tissues, the gene expression profile data are available in the Gene Expression Omnibus (GSE67061). In the present study, we performed the whole genome gene expression mircroarray of 60 paracancerous tissues of human lung squamous cell carcinoma, we aim to show expression characteristics of PTN1 genes during the four lung developmental stages and in lung ADC, lung SCC and paracancerous samples. We examined the prognostic value of the PTN1 genes in five independent lung adenocarcinoma (ADC) and five squamous cell carcinoma (SCC) microarray datasets and revealed that the expression of PTN1 genes was associated with survival in lung ADC patients but had no prognostic value for lung SCC.
2017-07-15 | GSE101420 | GEO
Project description:Non-small cell lung adenocarcinoma is the most frequently diagnosed lung cancer type and remains the leading cause of cancer mortality for men and women in the United States. Management of lung cancer is hindered by high false-positive rates due to the inability to resolve benign versus malignant tumors. Therefore, better molecular analysis comparing malignant and non-malignant tissues will provide additional evidence of the underlying biology contributing to tumorigenesis. In the current study, we utilized a proteomics approach to analyze 38 malignant and non-malignant paired tissue samples obtained from current or former smokers with early stage (Stage IA/IB) lung adenocarcinoma. Statistical mixed effects modeling and orthogonal partial least squares discriminant analysis were used to identify key cancer-associated perturbations in the malignant tissue proteome. Identified proteins were subsequently assessed against clinicopathological variables.
2016-12-23 | PXD002612 | Pride
Project description:Clinical FFPE tissue proteomic analyses were performed for early lung adenocarcinomas including adenocarcinoma in-situ (AIS), minimally invasive adenocarcinoma (MIA) and lepidic predominant invasive adenocarcinoma (LPA).
2020-01-30 | PXD017334 | JPOST Repository
Project description:Nasopharyngeal carcinoma and paracancerous tissue
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Project description:Expression data from lung adenocarcinoma tissues and paired normal lung tissues
| PRJNA485347 | ENA
Project description:Non-small cell lung adenocarcinoma is the most frequently diagnosed lung cancer type and remains the leading cause of cancer mortality for men and women in the United States. Management of lung cancer is hindered by high false-positive rates due to the inability to resolve benign versus malignant tumors. Therefore, better molecular analysis comparing malignant and non-malignant tissues will provide additional evidence of the underlying biology contributing to tumorigenesis. In the current study, we utilized a proteomics approach to analyze 38 malignant and non-malignant paired tissue samples obtained from current or former smokers with early stage (Stage IA/IB) lung adenocarcinoma. Statistical mixed effects modeling and orthogonal partial least squares discriminant analysis were used to identify key cancer-associated perturbations in the malignant tissue proteome. Identified proteins were subsequently assessed against clinicopathological variables.
2017-03-31 | MSV000080825 | MassIVE