Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling by array of human carcinomas of unknown primary

ABSTRACT: Carcinomas of unknown primary (CUP) are characterized by early metastatic dissemination in the absence of a detectable primary tumor. This disease accounts for about 3% of all malignant tumors. Most CUPs are poorly responsive to chemotherapy and have a rapid fatal evolution. The biological mechanisms supporting metastatic growth in various sites combined with regression or absence of growth in the primary site are still poorly understood. The aim of this project was to investigate characteristics of gene expression profile specific of CUPs with special attention to genes overexpressed or silenced in CUPs but not in classical secondary metastases. Three series of experiments were performed in 2006 and 2007. In all experiments, the mRNA used as a reference was obtained from diploid untransformed human fibroblasts (MRC5). The CUP samples were 2 xenografted CUP tumors (Capi1 and Capi3) and 4 CUP biopsies including a squamous carcinoma (Aud) and 3 adenocarcinomas (Gal, Pro, Gag). Samples representative of secondary metastases were xenografted tumors derived from metastases of nasopharyngeal carcinoma (C17), lung adenocarcinoma (IC14) and pancreatic adenocarcinoma (xenografted Capan 1 cell line) and one biopsy from a breast carcinoma (Vuc).

ORGANISM(S): Homo sapiens

DISEASE(S): CUP

SUBMITTER: unknown ripoche

PROVIDER: E-TABM-1058 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Context : Non Functioning Pituitary Adenomas (NFPAs), although typically benign, may be locally invasive. Few datas are currently available related to the molecular process of invasion in sporadic pituitary adenomas. Markers of invasiveness, important for helping the clinician in the therapeutic strategy particularly in the decision for adjuvant radiotherapy, are currently lacking. Objective: Evaluate if invasive NFPAs display a specific expression profile compared with non invasive tumors. Methods: To address this issue, we selected 40 NFPAs (38 of the gonadotroph type) and classified them as invasive (n=22) or non invasive (n=18) on the basis of MRI and surgical findings. Then we performed pangenomic analysis based on Agilent Human Whole genome Gene Expression oligonucleotide microarray (44k) Expression in order to identify genes differentially expressed between invasive and non invasive NFPA. Experiements are made in dual color with tumor samples labelled in cyanine 5 and a pool of all tumors labelled in cyanine 3.The expressions of some genes identified by microarray screening were confirmed by real-time quantitative RT-PCR. The selection of genes was made on the basis of Ingenuity networks and degree of upregulation between invasive and non invasive tumors. Moreover, some genes of interest already described in the literature were added to the analysis. Results: Prediction class analysis showed that 346 genes discriminated between invasive and non invasive NFPAs (p<0.001); 233 were up- and 113 were down-regulated between the two groups. We then tested On the basis of Ingenuity networks and degree of upregulation between invasive and non invasive tumors, a set of eight genes, including MYO5A, IGFBP5, FLT3, NFE2L1, PTTG, MMP9, NCAM and NR1H3, was tested in quantitative PCR analysis and. Results confirmed those obtained in microarrays results.analysis. At the protein level, Myosin 5A (MYO5A) demonstrated stronger immunostaining in invasive NFPAs compared to non invasive NFPAs. Conclusions: We propose a molecular signature of eight genes of grossly invasive NFPAs as compared with non invasive tumors: The product of one of these genes, MYO5A, may be a useful marker of invasive process in tumoral specimens. The role of these genes in the invasiveness process and as prognostic markers of pituitary adenomas needs to be confirmedinvestigated. Method: Microarray analyses the transcriptome of 22 invasive Non Functional Pituitary Adenomas (NFPAs) and 18 non invasive NFPAs in dual color (each sample labelled in cyanine 5 and a pool of all tumors labelled in cyanine 3).

Dataset Information

Transcription profiling by array of human carcinomas of unknown primary

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure