Severance Hospital, Yonsei University
Seoul, South Korea
NCT Number: NCT02807896
Multiple biomarker development through validation of useful markers generated by next generation bio-data based genome research and cohort study
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Notify Me20 year–80 year
All sexes
Observational
Seoul, South Korea
The discrimination and calibration for algorithm through the diagnostic chip of each cancer type will all be examined using 10-fold cross-validation (100 repetitions). In the 10-fold cross-validation, the data is randomly divided into 10 same sized data, among which 9 are used in making a model for training and the remaining 1 is applied for test, and this process is randomly and independently repeated for 100 times.
The 10-fold cross-validated AUC is calculated to see the discrimination of diagnostic chip of each cancer type, and the 95% confidence interval is presented by non-parametric method.
The 10-fold cross-validated calibration plot is presented to see the calibration of diagnostic chip of each cancer type. The calibration plot visually demonstrate the degree of prediction by comparing the prediction probability of each group and the ratio of actual cancer patients after listing the prediction probability in the order and dividing it with regular intervals.
Then, for the same subjects, the AUC of the CA 19-9, the existing cancer diagnostic tool, is calculated and the 95% confidence interval is presented. To compare the diagnostic chip of each cancer type and the AUC of CA 19-9, p-value is calculated by non-parametric method of 10-fold cross-validated AUC.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: within 1week
The AUC(area under curve) is calculated as an index for discrimination to see how well it discriminates algorithm through diagnostic chip for each cancer type.
The calibration plot will be presented for the evaluation of calibration to see how well it calibrates algorithm through diagnostic chip for each cancer type, and the comparison of CA 19-9 by each cancer type and AUC differences of the diagnostic chip will be evaluated.
Time frame: within 1week
The cut-off of each biomarker expression for maximizing the discrimination of diagnostic chips is calculated and presented as an index for analytical sensitivity.
The accuracy considering the characteristics of diagnostic chip is calculated and presented.
CHANGHEE LEE
Industry
Multiple Biomarker Development Through Validation of Useful Markers Generated by Next Generation Bio-data Based Genome Research and Cohort Study
Acronym: miRNA_Chip
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