Subclassification of lung adenocarcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE20853 | GEO | 2011/07/19
SECONDARY ACCESSION(S): PRJNA124763
REPOSITORIES: GEO
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Project description:To elucidate whether or not a subtype of adenocarcinoma with neuroendocrine nature has poor prognosis, we performed gene expression of lung adenocarcinoma profiling by cDNA microarray. adenocarcinoma 154, squamous 10
2011-07-18 | E-GEOD-20853 | biostudies-arrayexpress
Project description:To elucidate whether or not a subtype of adenocarcinoma with neuroendocrine nature has poor prognosis, we performed gene expression profiling of an achaete-scute complex homolog 1 (ASCL1) siRNA experiment. siRNA againt ASCL1 was transfected into DMS79 cells.
2011-07-18 | E-GEOD-21216 | biostudies-arrayexpress
Project description:To elucidate whether or not a subtype of adenocarcinoma with neuroendocrine nature has poor prognosis, we performed gene expression profiling of an achaete-scute complex homolog 1 (ASCL1) siRNA experiment.
2011-07-19 | GSE21216 | GEO
Project description:Lung adenocarcinoma (LUAD) is the most common histological subtype of lung cancer and shows high morbidity and mortality rates as well as poor prognosis. However, there is still an urgent need to provide more effective biomarkers for the early diagnosis, prognosis and monitoring of LUAD. The Arraystar Human M6a-MRNA&lncRNA Epitranscriptomic microarray analysis was performed on six pairs of LUAD tissues and adjacent non-tumor tissues to compare and screen the M6a marker of LUAD, thus may offer a new avenue of targets and strategies for LUAD diagnosis and treatment.
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Project description:Adenocarcinoma in situ (AIS) of the lung has an extremely favorable prognosis, with a 5-year survival rate of 100%. However, early invasive adenocarcinoma (EIA) often has a fatal outcome. In this study, we compared the expression profiles of AIS with those of EIA showing a fatal outcome, and screened the differentially expressed genes by cDNA microarray.
2010-10-10 | E-MEXP-2825 | biostudies-arrayexpress
Project description:Micropapillary adenocarcinoma of the lung is a cancer with poor prognosis and characterized by the presence of tumor cells with ring-like glandular structure floating within alveolar spaces. We investigated the association between its morphological, biochemical, and immunohistochemical characteristics and malignancy using the KU-Lu-MPPt3 cell line established from a patient with micropapillary adenocarcinoma. Two subpopulations of KU-Lu-MPPt3 cells, adhesive (AD) and clumpy and suspended (CS) cells, were prepared and subjected to DNA microarray.
2021-09-28 | GSE184883 | GEO
Project description:Lung adenocarcinoma is the most common histological subtype of lung cancer. Although early-stage LUAD (esLUAD) patients have much better prognosis than patients with advanced disease, among early stage patients treated primarily with surgery, some of early stage patients will develop metastasis with overall 5 year survival for stage 1 and 2 non-small cell lung cancer of 70% and 35%, respectively. Within lung adenocarcinoma, histology is heterogenous and associated with tumor invasion and clinical outcomes. Invasiveness is one of cancer hallmarks and is directly related with metastatic potential and clinical outcomes of the tumor. In this study, we characterize invasiveness mechanisms in esLUAD by analyzing gene expression of a novel cohort of 53 histologically heterogenous esLUAD samples.
2022-02-01 | GSE166720 | GEO
Project description:Two prognostically significant subtypes of high-grade lung neuroendocrine tumors independent of small-cell and large-cell neuroendocrine carcinomas identified by gene expression profiles. BACKGROUND: Classification of high-grade neuroendocrine tumors (HGNT) of the lung currently recognises large-cell neuroendocrine carcinoma (LCNEC) and small-cell lung carcinoma (SCLC) as distinct groups. However, a similarity in histology for these two carcinomas and uncertain clinical course have led to suggestions that a single HGNT classification would be more appropriate. Gene expression profiling, which can reproduce histopathological classification, and often defines new subclasses with prognostic significance, can be used to resolve HGNT classification. METHODS: We used cDNA microarrays with 40386 elements to analyze the gene expression profiles of 38 surgically resected samples of lung neuroendocrine tumors and 11 SCLC cell lines. Samples of large-cell carcinoma, adenocarcinoma, and normal lung were also included to give a total of 105 samples analyzed. The data were subjected to filtering to yield informative genes before unsupervised hierarchical clustering that identified relatedness of tumor samples. FINDINGS: Distinct groups for carcinoids, large-cell carcinoma, adenocarcinoma, and normal lung were readily identified. However, we were unable to distinguish LCNEC from SCLC by gene expression profiling. Three independent rounds of unsupervised hierarchical clustering consistently divided SCLC samples into two main groups with LCNEC samples largely integrated with these groups. Furthermore, patients in one of the groups identified by clustering had a significantly better clinical outcome than the other (83% vs 12% survived for 5 years; p=0.0094. None of the highly proliferative SCLC cell lines subsequently analyzed clustered with this good-prognosis group. INTERPRETATION: Our findings show that HGNT of the lung can be classified into two groups independent of SCLC and LCNEC. To this end, we have identified many genes, some of which encode well-characterized markers of cancer that distinguish the HGNT groups. These results have implications for the diagnosis, classification, and treatment of lung neuroendocrine tumors, and provide important insights into their underlying biology. Keywords: other
2004-02-10 | E-GEOD-1037 | biostudies-arrayexpress
Project description:Lung adenocarcinoma is the most common histologic subtype of non-small cell lung cancer. There exists a need to identify new molecular regulators for lung adenocarcinoma, providing insights into potential therapeutic targets. We used microarrays to identify up-regulated genes in invasive lung adenocarcinoma.
2019-01-23 | GSE118370 | GEO
Project description:Background Neuroendcrine carcinoma (NEC) of lung consists of small-cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC). Although long-term outcomes of SCLC patients are usually poor, a few patients achieve long-term survivals. Prognostic factors in SCLC have not been fully elucidated. microRNAs (miRNAs) are known to negatively regulate gene expression and to be relevant to tumorigenesis, tumor classification and prognosis. Methods 63 samples (46 neuroendocrine carcinoma including 35 SCLC and 11 LCNEC, 4 adenocarcinoma, 5 squamous cell carcinoma and 8 normal lung) were obtained through surgical resection. miRNA expression in each sample was comprehensively investigated using miRNA microarray. Results Unsupervised hierarchial clustering classified the all NEC into two subgroups, group 1 and 2. Group 1 was felt into an independent branch that consisted of only NEC, whereas group 2 was included in a branch that contained both NEC and non-NEC. Compared with SCLC of group 1 (SCLC 1), SCLC of group 2 (SCLC 2) was a distinct subgroup with surprisingly good prognosis (0% v 79% survived for 5 years; p=0.007). Serum proGRP level was significantly lower in SCLC 2 than in SCLC 1 despite of similar tumor stages between the two groups. Among 12 cases treated by presurgical chemotherapy, PR:NC ratio was 6:3 in SCLC 1 and 2:1 in SCLC 2, suggesting no apparent difference of chemosensitivity. Histologically, distinction between both groups was difficult. Cox regression analysis demonstrated that three miRNA signature was correlated with survival of SCLC patients. These prognostic miRNAs were differentially expressed between SCLC 1 and 2, which were validated by quantitative real time RT-PCR. Bioinformatics analysis predicted that these miRNAs targeted not only genes involving with tumorigenesis but also genes associated with neuroendocrine function. Conclusion miRNA expression profiling identified a distinct subgroup of SCLC with favorable prognosis. This subgroup might have less neuroendocrine character than usual SCLC. All samples were tissue samples obtained by surgical resection. 35 samples of small-cell lung cancer were investigated. 11 samples of larege cell neuroendocrine cancer, 4 samples of adenocarcinoma, 5 samples of squamous cell carcinoma and 8 samples of normal lung were also included as reference.
2013-01-31 | E-GEOD-19945 | biostudies-arrayexpress