2014•Journal of Chengdu Medical CollegeRequires access

PLS-DA Models to Estimate the Diagnostic Value of Serum CA125,CA153 and HCG for Ovarian Cancer

Qi Wang

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Abstract

Objective To study the clinical value of three tumor markers[cancer antigen 125(CA125),cancer antigen 153(CA153)and human chorionic gonadotropin(HCG)]examination in patients with ovarian cancer.Methods The serum concentration of CA125,CA153 and HCG was measured with electrochemiluminescence immunoassay in 36 patients with ovarian cancer and 32 patients with benign ovarian lesions.Data sets were analyzed by the line model of partial-least-squares discriminant analysis(PLS-DA).Results Serum levels of CA125,CA153 and HCG in ovarian cancer group were higher than that in benign ovarian diseases group(P0.05).In PCA model,each member in ovarian cancer group was scattered and hard to get together while there was a tendency to get together in control group.The AUC under the ROC of three serum tumor markers was CA125(0.878,P0.05),CA153(0.790,P0.05),HCG(0.924,P0.05),respectively.Further study found that(PLS-DA)model showed a clear separation between patients with ovarian cancer and patients with benign ovarian lesions(P0.01).This model provided 100%of sensitivity,78.0%of specificity and 88.2%of accuracy for the diagnosis of ovarian cancer.Conclusion The PLS-DA model built by the combination of CA125,CA153,HCG can well identify ovarian cancer,and be used for the diagnosis of ovarian cancer and forecast analysis.

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Objective To study the clinical value of three tumor markers[cancer antigen 125(CA125),cancer antigen 153(CA153)and human chorionic gonadotropin(HCG)]examination in patients with ovarian cancer.Methods The serum concentration of CA125,CA153 and HCG was measured with electrochemiluminescence immunoassay in 36 patients with ovarian cancer and 32 patients with benign ovarian lesions.Data sets were analyzed by the line model of partial-least-squares discriminant analysis(PLS-DA).Results Serum levels of CA125,CA153 and HCG in ovarian cancer group were higher than that in benign ovarian diseases group(P0.05).In PCA model,each member in ovarian cancer group was scattered and hard to get together while there was a tendency to get together in control group.The AUC under the ROC of three serum tumor markers was CA125(0.878,P0.05),CA153(0.790,P0.05),HCG(0.924,P0.05),respectively.Further study found that(PLS-DA)model showed a clear separation between patients with ovarian cancer and patients with benign ovarian lesions(P0.01).This model provided 100%of sensitivity,78.0%of specificity and 88.2%of accuracy for the diagnosis of ovarian cancer.Conclusion The PLS-DA model built by the combination of CA125,CA153,HCG can well identify ovarian cancer,and be used for the diagnosis of ovarian cancer and forecast analysis.

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Available abstract

Objective To study the clinical value of three tumor markers[cancer antigen 125(CA125),cancer antigen 153(CA153)and human chorionic gonadotropin(HCG)]examination in patients with ovarian cancer.Methods The serum concentration of CA125,CA153 and HCG was measured with electrochemiluminescence immunoassay in 36 patients with ovarian cancer and 32 patients with benign ovarian lesions.Data sets were analyzed by the line model of partial-least-squares discriminant analysis(PLS-DA).Results Serum levels of CA125,CA153 and HCG in ovarian cancer group were higher than that in benign ovarian diseases group(P0.05).In PCA model,each member in ovarian cancer group was scattered and hard to get together while there was a tendency to get together in control group.The AUC under the ROC of three serum tumor markers was CA125(0.878,P0.05),CA153(0.790,P0.05),HCG(0.924,P0.05),respectively.Further study found that(PLS-DA)model showed a clear separation between patients with ovarian cancer and patients with benign ovarian lesions(P0.01).This model provided 100%of sensitivity,78.0%of specificity and 88.2%of accuracy for the diagnosis of ovarian cancer.Conclusion The PLS-DA model built by the combination of CA125,CA153,HCG can well identify ovarian cancer,and be used for the diagnosis of ovarian cancer and forecast analysis.

Key concepts: Ovarian cancer, Cancer antigen, Medicine, Human chorionic gonadotropin, Internal medicine, Oncology, Cancer, Gastroenterology

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