Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Expression Data from human Lung tissue of Patients with Non Small Cell Lung Cancer (NSCLC)

ABSTRACT: Lung cancers are a heterogeneous group of diseases with respect to biology and clinical behavior. Currently, diagnosis and classification are based on histological morphology and immunohistological methods for discrimination between two main histologic groups: small cell lung cancer (SCLC) and non-small cell lung cancer which account for 20% and 80% of lung carcinomas, respectively. NSCLCs, which are divided into the three major subtypes adenocarcinoma, squamous cell carcinoma and dedifferentiated large cell carcinoma, show different characteristics such as the expression of certain keratins or production of mucin and lack of neuroedocrine differentiation. The molecular pathogenesis of lung cancer involves the accumulation of genetic und epigenetic alterations including the activation of proto-oncogenes and inactivation of tumor suppressor genes which are different for lung cancer subgroups. The development of microarray technologies opened up the possibility to quantify the expression of a large number of genes simultaneously in a given sample. There are several recent reports on expression profiling on lung cancers but the analysis interpretation of the results might be difficult because of the heterogeneity of cellular components. The methods used for sample selection and processing can have a strong influence on the expression values obtained through microarray profiling. Laser capture microdissection (LCM) provides higher specificity in the selection of target cells compared to traditional bulk tissue selection methods, but at an increased processing cost. Here we describe the use of an expression microarray study on NSCLC samples and surrounding tissue, comparing macroscopic lung tumor and tissue samples (“grind and bind”), versus tumor and alveolar compartment cells laser capture microdissected (LCM) from the same macroscopic lung samples. In this study, a set of 31 pairs and one non-paired sample of macroscopic tumor and non-tumor samples (10 pairs and 1 non-paired sample squamous-cell carcinoma, 19 pairs and one non-paired samples adenocarcinoma, 2 pairs adeno-squamous-cell carcinoma) was selected for bulk/macro sampling. Of these 31 pairs and 2 non-paired samples, 16 pairs plus 15 non paired samples were reanalyzed using laser capture microdissection (LCM) for sampling the cells (7 pairs and 3 non-paired samples squamous-cell carcinoma, 8 pairs and 11 non-paired samples adeno carcinomas, 1 pair and 1 non paired sample Adeno-squamous-cell carcinoma). For macroscopic samples, 50 to 80 µg of tissue was used to isolate total RNA. Gene expression profile was determined using Affymetrix Human Genome Gene 1.0 ST genechip. For the LCM samples, from representative slides histologically confirmed and mapped by a pathologist, approximately 1000 cells/sample were collected by LCM;. cDNA was amplified using Nugen WT-Ovation One-Direct amplification system. Here we describe the use of an expression microarray study on NSCLC samples and surrounding tissue, comparing macroscopic lung tumor and tissue samples (“grind and bind”), versus tumor and alveolar compartment cells laser capture microdissected (LCM) from the same macroscopic lung samples.

ORGANISM(S): Homo sapiens

SUBMITTER: Gaby Marquardt

PROVIDER: E-GEOD-31552 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Lung cancers are a heterogeneous group of diseases with respect to biology and clinical behavior. Currently, diagnosis and classification are based on histological morphology and immunohistological methods for discrimination between two main histologic groups: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) which account for 20% and 80% of lung carcinomas, respectively. NSCLCs, which are divided into the three major subtypes adenocarcinoma, squamous cell carcinoma and dedifferentiated large cell carcinoma, show different characteristics such as the expression of certain keratins or production of mucin and lack of neuroedocrine differentiation. The molecular pathogenesis of lung cancer involves the accumulation of genetic und epigenetic alterations including the activation of proto-oncogenes and inactivation of tumor suppressor genes which are different for lung cancer subgroups. The development of microarray technologies opened up the possibility to quantify the expression of a large number of genes simultaneously in a given sample. There are several recent reports on expression profiling on lung cancers but the analysis interpretation of the results might be difficult because of the heterogeneity of cellular components. The methods used for sample selection and processing can have a strong influence on the expression values obtained through microarray profiling. Laser capture microdissection (LCM) provides higher specificity in the selection of target cells compared to traditional bulk tissue selection methods, but at an increased processing cost. Here we describe the use of an expression microarray study on NSCLC samples and surrounding tissue, comparing macroscopic lung tumor and tissue samples (“grind and bind”), versus tumor and alveolar compartment cells laser capture microdissected (LCM) from the same macroscopic lung samples. In this study, an initial set of 30 pairs of macroscopic tumor and non-tumor samples (10 pairs squamous-cell carcinoma, 18 pairs adenocarcinoma, 2 pairs adeno-squamous carcinoma) and 2 unpaired samples was selected for bulk/macro sampling. Of these 30 pairs and 2 unpaired samples, 17 pairs and 9 unpaired samples were reanalyzed using laser capture microdissection (LCM) for sampling the cells (7 pairs squamous and 1 unpaired sample, 9 pairs adenocarcinomas and 7 unpaired samples, 1 pair adeno-squamous carcinoma and 1 unpaired sample). For macroscopic samples, 50 to 80 µg of tissue was used to isolate total RNA. Gene expression profile was determined using Affymetrix Human Genome Gene 1.0 ST genechip. For the LCM samples, from representative slides histologically confirmed and mapped by a pathologist, approximately 1000 cells/sample were collected by LCM. cDNA was amplified using Nugen WT-Ovation One-Direct amplification system. In order to validate Nugen amplification bias of WT-Ovation One-Direct amplification system, the total RNA samples of 10 pairs of macroscopic tumor and non-tumor samples were amplified with this amplification system, and their cDNA was used to microarray.

Project description:Background: MicroRNAs (miRNAs) are small noncoding RNAs about 22 nucleotides in length and regulate mRNA expression by binding to 3?UTR of mRNAs and causing translation repression or degradation of mRNAs. Recent studies have revealed that microRNAs play important regulatory roles in carcinogenesis. However, the complement of miRNAs involved in lung carcinogenesis and tumor biology is generally unknown. We used high-throughput sequencing technology to investigate miRNA expression profiles in a study of paired lung non-small cell carcinomas and remote noncancerous lung tissues. Methods: Total RNA was isolated by Trizol from patient lung tissues, including 1 non-pair of macroscopic lung adenocarcinoma tissue, and 20 pairs of macroscopic lung adenocarcinoma tissues and corresponding paired noncancerous lung tissues from the same patients, 1 non-pair of noncancerous lung tissues of squamous cell carcinoma patient, and 10 pairs of squamous cell carcinoma and corresponding paired noncancerous lung tissues from the same patients. Small RNA library of each total RNA was constructed with Illumina?s Small RNA Sample Prep Kit, followed by high-throughput sequencing. Statistical differences in microRNA expression between groups were analyzed by GenePattern software. Results: Using 2-fold threshold with FDR<0.05, there were ~90 miRNAs differentiated the lung cancers from nontumor lung tissues, both histologies. (a) The sets of microRNAs differentiating adenocarcinoma from paired nontumor tissues are largely different from those differentiating squamous tumors. There were 40 upregulated and 23 downregulated microRNAs differentiating adenocarcinoma Tvs.NT . For squamous cell, the numbers were 19 and 6, respectively. (b) In common between the two tumor histologies, there were six common upregulated microRNAs (miR-21, 135b, 200a, 494, 708. 1259), and four common down-regulated microRNAs (miR-144, 184, 516a, 1251). (c) Comparing our 22 miRNAs in common with Yanaihara/Harris Cancer Cell 2006 using spotted microarrays, we found similar direction of change in 19/22. (d) As a group, the top over-expressed miRNA in lung tumors (determined as fold change > 2, and comprising at least .01% of total miRNA) are able to predict mRNAs that are differentially expressed in those same samples (p=4.6x10^-6). Conclusions: This effort represents one of the more comprehensive surveys of the lung tumor micronome. (i) Tumor microRNA complement differs from far-adjacent lung; (ii) Histologies differ in their overall, and tumor-distinctive microRNA complement; (iii) Statistical correlations of individual microRNA:mRNA (putative) pairing from the same tissue sets are pending. (iv) Experimental confirmation of microRNA:mRNA targeting, using our microRNA affinity pull down assay is also pending.

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Expression Data from human Lung tissue of Patients with Non Small Cell Lung Cancer (NSCLC)

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