Biomedical Engineering, Trends, Research and Technologies 2011
DOI: 10.5772/12940
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Clinical Application of Automatic Gene Chip Analyzer (WEnCA-Chipball) for Mutant Kras Detection in Peripheral Circulating Cancer Cells of Cancer Patients

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Cited by 3 publications
(7 citation statements)
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“…In the present study, the specificity (92.0%) and accuracy (91.3%), but not the sensitivity (87.5%), of the biomarker chip were similar to those reported in previous studies that used the WEnCA platform [18][19][20][21][22]. The false-positive rate of the biomarker chip in early prediction of postoperative relapse was 32.3%; nevertheless, postoperative serum CEA levels showed a higher false-positive rate (59.2%).…”
Section: Discussionsupporting
confidence: 69%
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“…In the present study, the specificity (92.0%) and accuracy (91.3%), but not the sensitivity (87.5%), of the biomarker chip were similar to those reported in previous studies that used the WEnCA platform [18][19][20][21][22]. The false-positive rate of the biomarker chip in early prediction of postoperative relapse was 32.3%; nevertheless, postoperative serum CEA levels showed a higher false-positive rate (59.2%).…”
Section: Discussionsupporting
confidence: 69%
“…Of the two independent predictors of relapse, our multigene biomarker biochip was more accurate than postoperative serum CEA levels (91.3% vs. 79.5%, P < 0.001). Moreover, the median lead time between positive biochip results and relapse detection was 10.7 months, considerably earlier than that between elevated postoperative serum CEA levels and relapse detection (2.8 months, [18,21,22]. The selection of the target gene and modification of the weighted values for the corresponding genes contribute the most to the accuracy in clinical applications.…”
Section: Discussionmentioning
confidence: 99%
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“…A weighted enzymatic chip array (WEnCA) platform is a sensitive technique for detecting activated KRAS from the peripheral blood in patients with various malignancies [ 18 , 21 , 22 ]. The selection of the target gene and modification of the weighted values for the corresponding genes contribute the most to the accuracy in clinical applications.…”
Section: Discussionmentioning
confidence: 99%
“…If the gene presented a color density >2-fold higher than the positive control (β-actin) did, the result was defined as positive, whereas if the density was <2-fold higher than that of the positive control, the result was defined as negative. Each overexpressed spot was then multiplied by the respective weighted values ranging from 1 to 4, according to the principle described previously [ 18 22 ].…”
Section: Methodsmentioning
confidence: 99%