Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MicroRNA profiling of tumor and stromal tissue in metastatic colorectal paitents

ABSTRACT: Specific MicroRNAs (miRNAs) have been found up- or down-regulated in colorectal cancer, and they are associated with prognosis or response to chemotherapy or targeted drugs. The microenvironment close to the neoplasm plays a leading role in tumor spread and survival. We used microarray technology to profile miRNA expression both in primary tumor and stromal tissue to study differences and clinical implications.

ORGANISM(S): Homo sapiens

SUBMITTER: Luca Beltrame

PROVIDER: E-MTAB-2479 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Analysis of differential miRNA expression in primary tumor and stroma of colorectal cancer patients.

Della Vittoria Scarpati Giuseppina G Calura Enrica E Di Marino Mariacristina M Romualdi Chiara C Beltrame Luca L Malapelle Umberto U Troncone Giancarlo G De Stefano Alfonso A Pepe Stefano S De Placido Sabino S D'Incalci Maurizio M Marchini Sergio S Carlomagno Chiara C

BioMed research international 20140710

Microarray technology was used to profile miRNA expression in primary tumor and stromal tissue from paraffin embedded material of 51 patients with colorectal cancer. 26 miRNAs resulted differentially expressed with at least 2-fold change in tumor tissue with respect to stroma (16 more expressed in the tumor and 10 more expressed in the stroma). 10/26 were confirmed as differentially expressed at qRTPCR: miR-200c-3p, miR-141-3p, miR-200b-3p, miR-200a-3p, miR-1246, miR-92a-3p, miR-194-5p, miR-192- ...[more]

PMID: 25143946

Similar Datasets

Project description:Background. Bevacizumab, an antibody neutralizing Vascular Endothelial Growth Factor (VEGF), is licensed for the management of patients with advanced colon cancer. However, tumor biomarkers identifying the molecular tumor subsets most amenable to angiogenesis modulation are lacking. Patients and Methods. We profiled expession of 24526 genes by means of whole genome 24K DASL (c-DNA-mediated, Annealing, Selection and Ligation) arrays, (Illumina, CA) in 16 bevacizumab-treated patients with advanced colon cancer (Test set). Genes with correlation to 8-month Progression-free status were studied by means of qPCR in two independent colon cancer cohorts: 49 patients treated with bevacizumab+chemotherapy (Bevacizumab qPCR set) and 72 patients treated with chemotherapy only (Control qPCR set). Endpoints were best tumor response before metastasectomy (ORR) and progression-free survival (PFS). Results. Five genes were significantly correlated to 8-month progression-free status in the Test set: overexpression of KLF12 and downregulation of AGR2, ALDH6A1, MCM5, TFF2. In the two independent datasets, irinotecan- or oxaliplatin-based chemotherapy was administered as first-line treatment and metastasectomies were subsequently applied in 8-14% of patients. No prognostically significant gene classifier encompassing all five genes could be validated in the Bevacizumab or Control qPCR sets. The complex gene expression profile of all-low tumor (ALDH6A1+TFF2+MCM5) was strongly associated with ORR in the Bevacizumab qPCR set (ORR 85.7%, p=0.007), but not in the Control set (ORR 36.4%, p=0.747). The Odds Ratio for response for the all-low tumor (ALDH6A1+TFF2+MCM5) profile versus any other ALDH6A1+TFF2+MCM5 profile was 15 (p=0.018) in the Bevacizumab qPCR set but only 0.72 (p=0.63) in the Control set. The tumor expression profile of (KLF12-high+TFF2-low) was significantly associated with PFS only in the Bevacizumab qPCR set: bevacizumab-treated patients with (KLF12-high + TFF2-low) tumors had superior PFS (median 14 months, 95% CI 2-21) compared to patients with any other (KLF12+TFF2) expression profile (median PFS 7 months, 95% CI 5-10, p=0.021). The Hazard Ratio for disease progression for (KLF12-high + TFF2-low) versus any other KLF12+TFF2 expression profile was 2.92 (p=0.03) in the Validation and 1.29 (p=0.39) in the Control set. Conclusions. Our <three-stage> hypothesis-generating study failed to validate the prognostic significance of a five-gene classifier in mCRC patients. Exploratory analyses suggest two gene signatures that are potentially associated with bevazicumab benefit in patients with advanced colon cancer. 18 tumor tissue samples were analysed, no replicates

Dataset Information

MicroRNA profiling of tumor and stromal tissue in metastatic colorectal paitents

Publications

Analysis of differential miRNA expression in primary tumor and stroma of colorectal cancer patients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure