Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ International Journa...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
International Journal of Oncology
Article . 2010 . Peer-reviewed
Data sources: Crossref
versions View all 3 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Identification by a Digital Gene Expression Displayer (DGED) and test by RT-PCR analysis of new mRNA candidate markers for colorectal cancer in peripheral blood

Authors: LAURIOLA, MATTIA; UGOLINI, GIAMPAOLO; ROSATI, GIANCARLO; ZANOTTI, SIMONE; MONTRONI, ISACCO; MANARESI, ALESSIO; ZATTONI, DAVIDE; +6 Authors

Identification by a Digital Gene Expression Displayer (DGED) and test by RT-PCR analysis of new mRNA candidate markers for colorectal cancer in peripheral blood

Abstract

Evidence from the literature widely supports the efficacy of screening for colorectal cancer (CRC) in reducing mortality. A blood-based assay, potentially, represents a more accessible early detection tool for the identification of circulating tumour cells originating from a primary tumour site in the body. The present work aimed at identifying a set of specific mRNAs expressed in colon tissue but not in blood cells. These mRNAs may represent useful markers for early detection of circulating colon cancer cells by a simple, qualitative RT-PCR assay, following RNA extraction from peripheral blood samples. Using a data-mining tool called cDNA digital gene expression displayer (DGED), based on serial analysis of gene expression (SAGE) from the Cancer Genome Anatomy Project (CGAP) database, 4-colon and 14-blood cDNA libraries were analyzed. We selected 7 genes expressed in colon tissue but not in blood and were able to test 6 of them by RT-PCR in peripheral blood of CRC patients and healthy controls. We present a relatively easy and highly reproducible technique for the detection of mRNA expression of genes as candidate markers of malignancy in blood samples of patients with colon cancer. SAGE DGED provided a list of the best candidate mRNAs predicted to detect colon cells in the blood, namely those encoding the following proteins: hypothetical protein LOC644844 (LOC644844, whose cDNA was not amplifiable), fatty acid binding protein 1 (FABP1), carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5), mucin 13 cell surface associated (MUC13), guanylate cyclase activator 2A (GUCA2A), amiloride binding protein 1 (ABP1), galactoside-binding, solute carrier family 26, member 3 (SLC26A3). The mRNA expression of these genes was evaluated in 8 samples from subjects diagnosed with CRC and 9 from healthy controls. We observed the expression of 2 of the 6 investigated genes in the blood samples of the vast majority of patients considered, but also in a subset of the controls. Our data confirm the extreme sensitivity of RT-PCR, making this technique able to detect minimal amounts of mRNA expressed in a non-tissue-specific manner. Moreover, DGED remains a powerful tool to identify candidate epithelial markers in blood, such as colon related mRNAs. However, to date, none of these qualified as tumour markers.

Keywords

Adult, Aged, 80 and over, Male, DIGITAL GENE EXPRESSION DISPLAY; CIRCULATING TUMOR CELLS; COLORECTAL CANCER, Reverse Transcriptase Polymerase Chain Reaction, Gene Expression Profiling, Carcinoma, Signal Processing, Computer-Assisted, Middle Aged, Neoplastic Cells, Circulating, Case-Control Studies, Biomarkers, Tumor, Image Processing, Computer-Assisted, Humans, Female, RNA, Messenger, Colorectal Neoplasms, Genetic Association Studies, Aged

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Average
Average
bronze
Related to Research communities
Cancer Research