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Gene expression profiling of advanced murine K-RasG12V lung adenocarcinomas

ABSTRACT: We aimed to analyze the transcriptional profile of full-blown murine lung adenocarcinomas driven by K-RasG12V oncogene.

ORGANISM(S): Mus musculus

PROVIDER: GSE65257 | GEO | 2015/12/14

SECONDARY ACCESSION(S): PRJNA273510

REPOSITORIES: GEO

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Gene expression profiling of advanced murine K-RasG12V lung adenocarcinomas

Project description:We aimed to analyze the transcriptional profile of full-blown murine lung adenocarcinomas driven by K-RasG12V oncogene. We used a GEM model of lung adenocarcinoma driven by a resident K-RasG12V oncogene. On average, tumors were collected 10 months after Adeno-CRE infection.

2015-12-14 | E-GEOD-65257 | biostudies-arrayexpress

Gene expression profiling of normal lung cells and K-RasG12V driven hyperplasias

Project description:We aimed to analyze the transcriptional profile of lung epithelial cells early after the expression of a resident K-RasG12V oncogene. This approach was based on the rationale that valuable therapeutic targets should be easier to detect in the first stages of tumor development due to tumor heterogeneity which occurr at late stages. We used a GEM model of lung adenocarcinoma driven by a resident K-RasG12V oncogene. In this GEM, the K-RasG12V allele also expresses a color marker that allows identification of K-RasG12V expressing cells at the single cell level in tissue sections. Thanks to this strategy we isolated early K-RasG12V-driven hyperplastic lesions (about 500 cells) and analyzed their gene expression profiling by Affymetrix GeneChip hybridization. Normal cells were isolated accordingly by LCM in the same lung sections.

2015-12-14 | E-GEOD-65256 | biostudies-arrayexpress

Gene expression profiling of normal lung cells and K-RasG12V driven hyperplasias

2015-12-14 | GSE65256 | GEO

Duodenal adenoma/adenocarcinomas vs matched normal mucosa

Project description:Background: Duodenal adenoma/adenocarcinomas are rare, and the global gene expression changes associated with the initial stages of carcinogenesis of these neoplasms have not been elucidated. Results: To comprehensively analyze genetic markers and pathways specific to early-stage duodenal adenoma/adenocarcinomas, transcriptional profiles of 4 fresh-frozen non-ampullary duodenal adenoma/adenocarcinomas and surrounding duodenal normal mucosa were compared. Key features of gene expression analysis demonstrated a strong correlation between these tumors and colorectal adenomas, as well as the Wnt/β-catenin pathway. These results shed new light on the transcriptional changes that occur during the early stages of duodenal tumorigenesis. All samples were obtained prior to treatment in order to minimize effects of cauterization, and immediately fresh-frozen.

2018-08-06 | GSE102208 | GEO

Transcriptomes of lung adenocarcinomas

Project description:Transcriptomes of lung adenocarcinomas

| PRJNA638137 | ENA

Transcriptomes of lung adenocarcinomas

Project description:Transcriptomes of lung adenocarcinomas

| PRJNA593979 | ENA

Transcriptomes of lung adenocarcinomas

Project description:We performed RNA-seq using 19 human surgically-resected lung adenocarcinomas to investigate of difference between EGFR-mutated and wild-type lung adenocarcinomas.

2020-02-25 | GSE141569 | GEO

Expression profile of whole murine lung adenocarcinomas with or without overexpression of Snail

Project description:We used microarrays to study the changes in the transcriptional profile upon Snail overexpression in murine lung adenocarcinomas

2018-08-03 | GSE110871 | GEO

Expression profile of whole murine lung adenocarcinomas with or without knockdown of Snail

Project description:We used microarrays to study the changes in the transcriptional profile upon Snail knockdown in murine lung adenocarcinomas

2018-08-03 | GSE110870 | GEO

Proteomic Analysis Enables Distinction of Early- Versus Advanced-Stage Lung Adenocarcinomas

Project description:Background: A gel-free proteomic approach was utilized to perform in-depth tissue protein profiling of lung adenocarcinoma (ADC) and normal lung tissues from early and advanced stages of the disease. The long-term goal of this study is to generate a large-scale, label-free proteomic data set from histologically well-classified lung ADC that can be used to increase further our understanding of disease progression and aid in identifying novel biomarkers. Methods and Results: Cases of early-stage (I-II) and advanced-stage (III-IV) lung ADCs were selected and paired with normal lung tissues from 22 patients. The histologically and clinically stratified human primary lung adenocarcinomas were analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS). From the analysis of ADC and normal specimens, 5,933 protein groups were identified. To examine the protein expression profile of ADC, a peak area-based quantitation method was used. In early- and advanced-stage ADC, 33 and 39 proteins were differentially-expressed respectively between normal and tumor tissue (adjusted p-value < 0.01, fold change ≥ 4). For early- and advanced stage ADC tumors compared to normal patient-matched tissue, 11 and 22 proteins and 23 and 16 proteins were identified as down- and up-regulated, respectively. In silico functional analysis of the up-regulated proteins in both tumor groups revealed that most of the enriched pathways are involved in mRNA metabolism. Furthermore, the most over-represented pathways in the proteins that were unique to ADC are related to mRNA metabolic processes. Conclusions: Further analysis of these data may provide an insight into the molecular pathways involved in disease etiology and may lead to the identification of biomarker candidates and potential targets for therapy. Our study provides potential diagnostic biomarkers for lung ADC and novel stage-specific drug targets for rational intervention.

2021-09-09 | PXD019259 | Pride

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