Small Cell Lung Carcinoma - samples
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ABSTRACT:
PROVIDER: EGAD00010000276 | EGA |
REPOSITORIES: EGA
Publications
Comprehensive genomic analysis identifies SOX2 as a frequently amplified gene in small-cell lung cancer.
Rudin Charles M CM Durinck Steffen S Stawiski Eric W EW Poirier John T JT Modrusan Zora Z Shames David S DS Bergbower Emily A EA Guan Yinghui Y Shin James J Guillory Joseph J Rivers Celina Sanchez CS Foo Catherine K CK Bhatt Deepali D Stinson Jeremy J Gnad Florian F Haverty Peter M PM Gentleman Robert R Chaudhuri Subhra S Janakiraman Vasantharajan V Jaiswal Bijay S BS Parikh Chaitali C Yuan Wenlin W Zhang Zemin Z Koeppen Hartmut H Wu Thomas D TD Stern Howard M HM Yauch Robert L RL Huffman Kenneth E KE Paskulin Diego D DD Illei Peter B PB Varella-Garcia Marileila M Gazdar Adi F AF de Sauvage Frederic J FJ Bourgon Richard R Minna John D JD Brock Malcolm V MV Seshagiri Somasekar S
Nature genetics 20120902 10
Small-cell lung cancer (SCLC) is an exceptionally aggressive disease with poor prognosis. Here, we obtained exome, transcriptome and copy-number alteration data from approximately 53 samples consisting of 36 primary human SCLC and normal tissue pairs and 17 matched SCLC and lymphoblastoid cell lines. We also obtained data for 4 primary tumors and 23 SCLC cell lines. We identified 22 significantly mutated genes in SCLC, including genes encoding kinases, G protein-coupled receptors and chromatin-m ...[more]
Similar Datasets
Project description:Small-cell lung cancer (SCLC) is the most fatal form of lung cancer. Intra-tumoral heterogeneity, marked by neuroendocrine (NE) and non-neuroendocrine (non-NE) cell states, defines SCLC, but the drivers of SCLC plasticity are poorly understood. To map the landscape of SCLC tumor microenvironment (TME), we apply spatially resolved transcriptomics and quantitative mass spectrometry-based proteomics to metastatic SCLC tumors obtained via rapid autopsy. The phenotype and overall composition of non-malignant cells in the tumor microenvironment (TME) exhibits substantial variability, closely mirroring the tumor phenotype, suggesting TME-driven reprogramming of NE cell states. We identify cancer-associated fibroblasts (CAF) as a crucial element of SCLC TME heterogeneity, contributing to immune exclusion, and predicting an exceptionally poor prognosis. Together, our work provides the first comprehensive map of SCLC tumor and TME ecosystems, emphasizing their pivotal role in SCLCs adaptable nature, opening possibilities for re-programming the intercellular communications that shape SCLC tumor states.
2024-05-15 | PXD052033 | Pride
Project description:SCLC is molecularly and immunologically heterogenous. Here, using transcriptional and epigenomic profiling of plastic SCLC states in human and mouse cell lines, and patient samples, we define the phenotype of a SCLC population marked by increased MHC Class I antigen presentation.
2021-03-04 | GSE168195 | GEO
Project description:A mouse model for human small cell lung carcinoma (SCLC) has been developed based on evidence in human tumors that the tumor suppressor functions of RB and p53 are defective in more than 90% of SCLC cases. We also developed another mouse model also combines loss of p130 (Rbl2), an RB-related gene, with deletion of RB and p53. These two mouse tumors were shown to closely resemble human SCLC. The goal of this array experiment is to assess genome-wide gene expression of those mouse tumors and determine the similarity of the mouse models to human SCLC. Gene expression from Mouse Rb/p53 ( n=10 ) and Rb/p53/p130 primary tumors ( n=3 ) as well as tumor-free adult mouse lungs ( n=2 ) was measured using the Affymetrix GeneChip Mouse Genome 430-2.0 arrays.
2010-06-08 | E-GEOD-18534 | biostudies-arrayexpress
Project description:Objectives: Small cell lung cancer (SCLC) is characterized by poor prognosis and challenging diagnosis. Screening in high-risk smokers results in a reduction in lung cancer mortality, however, screening efforts are primarily focused on non-small cell lung cancer (NSCLC). SCLC diagnosis and surveillance remain significant challenges. The aberrant expression of circulating microRNAs (miRNAs/miRs) is reported in many tumors and can provide insights into the pathogenesis of tumor development and progression. Here, we conducted a comprehensive assessment of circulating miRNAs in SCLC with a goal of developing a miRNA-based biomarker classifier to assist in SCLC diagnoses. Materials and Methods: We profiled deregulated circulating cell-free miRNA in the plasma of SCLC patients. We tested selected miRs on a training cohort and created a classifier by integrating miRNA expression and patient clinical data. Finally, we applied the classifier on a validation dataset. Results: We determined that miR-375-3p can discriminate between SCLC and NSCLC patients, and between SCLC and Squamous Cell Carcinoma patients. Moreover, we found that a model comprising miR-375-3p, miR-320b, and miR-144-3p can be integrated with race and age to distinguish metastatic SCLC from a control group. Conclusion: This study proposes a miRNA-based biomarker classifier for SCLC that considers clinical demographics with specific cut offs to inform SCLC diagnosis.
2023-10-31 | GSE240758 | GEO
Project description:Objectives: Small cell lung cancer (SCLC) is characterized by poor prognosis and challenging diagnosis. Screening in high-risk smokers results in a reduction in lung cancer mortality, however, screening efforts are primarily focused on non-small cell lung cancer (NSCLC). SCLC diagnosis and surveillance remain significant challenges. The aberrant expression of circulating microRNAs (miRNAs/miRs) is reported in many tumors and can provide insights into the pathogenesis of tumor development and progression. Here, we conducted a comprehensive assessment of circulating miRNAs in SCLC with a goal of developing a miRNA-based biomarker classifier to assist in SCLC diagnoses. Materials and Methods: We profiled deregulated circulating cell-free miRNA in the plasma of SCLC patients. We tested selected miRs on a training cohort and created a classifier by integrating miRNA expression and patient clinical data. Finally, we applied the classifier on a validation dataset. Results: We determined that miR-375-3p can discriminate between SCLC and NSCLC patients, and between SCLC and Squamous Cell Carcinoma patients. Moreover, we found that a model comprising miR-375-3p, miR-320b, and miR-144-3p can be integrated with race and age to distinguish metastatic SCLC from a control group. Conclusion: This study proposes a miRNA-based biomarker classifier for SCLC that considers clinical demographics with specific cut offs to inform SCLC diagnosis.
2023-10-31 | GSE240757 | GEO
Project description:In the present study we investigated the structure of MYCN amplifications, examples of both dmin and hsr, in eight neuroblastoma (NB) and two small cell lung carcinoma (SCLC) cell lines. Ten cell lines were analyzed for gene amplification: STA-NB3 (NB), STA-NB4 (NB), STA-NB8 (NB), STA-NB10DM (NB), STA-NB10HSR (NB), STA-NB13 (NB), STA-NB15 (NB), SK-N-BE (NB), GLC8 (SCLC), GLC14 (SCLC). NimbleGen human reference sample was used as reference DNA.
2010-06-10 | E-GEOD-22279 | biostudies-arrayexpress
Project description:Small cell lung cancer (SCLC) is a disease characterized by aggressive clinical behavior and lack of effective therapy. Due to its high tendency of early dissemination, only a third of patients have limited-stage disease at the time of diagnosis. SCLC is thought to derive from neuroendocrine cells of the lung. Although several molecular abnormalities in SCLC have been described, there are relatively few studies on epigenetic alterations in this type of tumor. Here, we have used methylation profiling with the methylated CpG island recovery assay (MIRA) in combination with microarrays and conducted the first genome-scale analysis of methylation changes that occur in primary SCLC and SCLC cell lines. Among hundreds of tumor-specifically methylated genes, we identified 73 gene targets that are methylated in more than 77% of primary SCLC tumors, most of which have never been linked to aberrant methylation in tumors. These targets have excellent potential for development of biomarkers for early detection of SCLC. SCLC cell lines had an ~3-fold greater number of hypermethylated genes than primary tumors. Gene ontology analysis indicated a significant enrichment of methylated genes functioning as transcription factors and in processes of neuronal differentiation. Motif analysis of tumor-specific methylated regions identified enrichment of binding sites for several neural cell fate-specifying transcription factors including NEUROD1, HAND1, ZNF423 and REST. We hypothesize that functional inactivation of their corresponding binding sites by DNA methylation can lead to an escape route for early progenitor cells towards the malignant state and may contribute to the origin of SCLC. Comparison between healthy and SCLC tumor DNA methylation profiles
2012-01-26 | E-GEOD-35341 | biostudies-arrayexpress
Project description:SCLC is molecularly and immunologically heterogenous. Here, using transcriptional and epigenomic profiling of plastic SCLC states in human and mouse cell lines, and patient samples, we define the phenotype of a SCLC population marked by increased MHC Class I antigen presentation.
2021-03-05 | GSE168294 | GEO
Project description:SCLC is molecularly and immunologically heterogenous. Here, using transcriptional and epigenomic profiling of plastic SCLC states in human and mouse cell lines, and patient samples, we define the phenotype of a SCLC population marked by increased MHC Class I antigen presentation.
2021-03-05 | GSE168266 | GEO
Project description:Small cell lung cancer (SCLC) is a subtype of lung cancer with poor prognosis due to early dissemination and rapid growth. We here analyze gene expression profile of 23 clinical SCLC samples. EZH2 was found to be highly expressed in SCLC samples compared to 42 normal tissues including the normal lung, and other PRC2 members, SUZ12 and EED, were also highly expressed in SCLC. To obtain target genes of PRC2 in SCLC, H3K27me3 mark was mapped in three SCLC cell lines, Lu130, H209 and DMS53, and compared to normal small airway epithelial cells (SAEC). Whereas H3K27me3(+) genes in SAEC were significantly overlapped with PRC-target genes in ES cells (P=1.7x10-31), genes with H3K27me3 in SCLC cell lines but not in SAEC were not significantly overlapped with PRC-target genes in ES cells (P=0.64). These genes with H3K27me3 specifically in SCLC cell lines but not in SAEC showed decreased expression, not only in SCLC cell lines but also in clinical SCLCs, and showed enrichment of GO-terms such as plasma membrane (P=8.1x10-21) and cell adhesion (P=1.7x10-8). Introduction of JUB, a gene showing specific H3K27me3 modification and the strongest repression in the three SCLC cell lines, resulted in repression of cellular growth in DMS53. In clinical SCLC cases, lower JUB level correlated to shorter survival (P=0.002), or a set of PRC target genes (JUB, EPHB4) and marker genes of classic type SCLC (GRP, ASCL1) correlated to shorter survival (P=0.0001) and classified SCLC into two groups with distinct prognosis. Growth of SCLC cell lines was repressed when treated with 3-Deazaneplanocin A, an inhibitor against PRC2. It is suggested that high expression of PRC2 in SCLC contributed to repression of genes including non-PRC-target genes in ES cells, and that the gene repression may play a role in genesis of SCLC. Gene expression in 23 clinical SCLC samples, 42 normal tissue samples, 3 small cell lung cancer (SCLC) cell lines, and normal small airway epithelial cell (SAEC) was analyzed by Affymetrix arrays. This dataset is part of the TransQST collection.
2013-06-12 | E-GEOD-43346 | biostudies-arrayexpress