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Clinical Chemistry and Laboratory Medicine (CCLM)
Article . 2009 . Peer-reviewed
Data sources: Crossref
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MYC quantitation in cell-free plasma DNA by real-time PCR for gastric cancer diagnosis

Authors: Kyoung Un, Park; Hee Eun, Lee; Do Joong, Park; Eun Ji, Jung; Junghan, Song; Hyung-Ho, Kim; Gheeyoung, Choe; +2 Authors

MYC quantitation in cell-free plasma DNA by real-time PCR for gastric cancer diagnosis

Abstract

Detection of tumor-associated genetic alterations in plasma of cancer patients has recently been suggested to be an accurate method for detecting early or recurrent cancer.We performed quantitative real-time PCR for MYC and GAPDH in tissue and plasma samples of 57 patients with gastric cancer and in plasma of 79 cancer-free individuals. We also performed two-color MYC fluorescence in situ hybridization (FISH) in tissue from the 57 patients with gastric cancer.The tissue MYC/GAPDH ratio by real-time PCR was significantly correlated with MYC status by FISH (p<0.001). The mean ratio of plasma MYC/GAPDH was 5.226+/-3.578 (range: 1.25-18.35) in gastric cancer patients, and 2.436+/-0.881 (range: 1.00-5.00) in the healthy volunteers (p<0.001). We used receiver-operating characteristics (ROC) curve analysis to select two optimal plasma MYC/GAPDH cut-offs of 2.725 and 5.225. The sensitivity and specificity were 75.4% and 76.9% at 2.725, 38.6% and 100% at 5.225, respectively. The plasma MYC/GAPDH ratio from cancer patients was significantly correlated with the tissue MYC/GAPDH ratio (p=0.009), and tissue MYC status by FISH (p=0.024).These findings suggest that the plasma MYC/GAPDH ratio, as determined by real-time PCR, may be an alternative non-invasive approach for detecting gastric cancer.

Related Organizations
Keywords

Male, Reverse Transcriptase Polymerase Chain Reaction, Centromere, Gene Amplification, Genes, myc, Glyceraldehyde-3-Phosphate Dehydrogenases, DNA, Middle Aged, Stomach Neoplasms, Biomarkers, Tumor, Humans, Female, Cell Nucleolus, In Situ Hybridization, Fluorescence

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    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).
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    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.
    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
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!
30
Top 10%
Top 10%
Top 10%
bronze
Related to Research communities
Cancer Research