Serum autoantibodies against a panel of 15 tumor-associated antigens in the detection of ovarian cancer

In this study, enzyme-linked immunosorbent assay has been used to examine the frequencies of serum autoantibodies against two candidate tumor-associated antigens intensively selected from the Human Protein Atlas database, in combination with 13 tumor-associated antigens available from our lab in ser...

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Main Authors: Hao Sun, Jian-Xiang Shi, Hong-Fei Zhang, Meng-Tao Xing, Pei Li, Li-Ping Dai, Cheng-Lin Luo, Xiao Wang, Peng Wang, Hua Ye, Liu-Xia Li, Jian-Ying Zhang
Format: Article
Language:English
Published: IOS Press 2017-05-01
Series:Tumor Biology
Online Access:https://doi.org/10.1177/1010428317699132
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spelling doaj-60029bb8be6b4415a6f5b105007af3b12021-05-02T22:01:57ZengIOS PressTumor Biology1423-03802017-05-013910.1177/1010428317699132Serum autoantibodies against a panel of 15 tumor-associated antigens in the detection of ovarian cancerHao Sun0Jian-Xiang Shi1Hong-Fei Zhang2Meng-Tao Xing3Pei Li4Li-Ping Dai5Cheng-Lin Luo6Xiao Wang7Peng Wang8Hua Ye9Liu-Xia Li10Jian-Ying Zhang11Department of Biological Sciences, The University of Texas at El Paso, El Paso, TX, USADepartment of Biological Sciences, The University of Texas at El Paso, El Paso, TX, USADepartment of Biological Sciences, The University of Texas at El Paso, El Paso, TX, USADepartment of Biological Sciences, The University of Texas at El Paso, El Paso, TX, USAHenan Academy of Medical and Pharmaceutical Sciences and Academy of Medical Sciences, Zhengzhou University, Zhengzhou, ChinaHenan Academy of Medical and Pharmaceutical Sciences and Academy of Medical Sciences, Zhengzhou University, Zhengzhou, ChinaDepartment of Biological Sciences, The University of Texas at El Paso, El Paso, TX, USAHenan Academy of Medical and Pharmaceutical Sciences and Academy of Medical Sciences, Zhengzhou University, Zhengzhou, ChinaHenan Academy of Medical and Pharmaceutical Sciences and Academy of Medical Sciences, Zhengzhou University, Zhengzhou, ChinaHenan Academy of Medical and Pharmaceutical Sciences and Academy of Medical Sciences, Zhengzhou University, Zhengzhou, ChinaHenan Academy of Medical and Pharmaceutical Sciences and Academy of Medical Sciences, Zhengzhou University, Zhengzhou, ChinaHenan Academy of Medical and Pharmaceutical Sciences and Academy of Medical Sciences, Zhengzhou University, Zhengzhou, ChinaIn this study, enzyme-linked immunosorbent assay has been used to examine the frequencies of serum autoantibodies against two candidate tumor-associated antigens intensively selected from the Human Protein Atlas database, in combination with 13 tumor-associated antigens available from our lab in sera from 44 OC patients and 50 normal healthy controls. Conventional evaluation (mean + 3SD as the cutoff value to determine a positive reactivity), receiver operating characteristic curve analyses, and classification tree analysis were further used to evaluate the diagnostic performance of autoantibodies against these tumor-associated antigens (anti-tumor-associated antigens) in ovarian cancer. For single anti-tumor-associated antigen, when the cutoff values were set as mean + 3SD of normal healthy controls, NPM1, MDM2, PLAT, p53, and c-Myc could achieve sensitivity higher than 20% at 98% specificity. Combinational utilization of autoantibodies against MDM2, PLAT, NPM1, 14-3-3 Zeta, p53, and RalA achieved the optimal diagnostic performance with 72.7% sensitivity at 96% specificity. Receiver operating characteristic curve analysis showed that the area under the receiver operating characteristic curves of autoantibodies against c-Myc, NPM1, MDM2, p16, p53, and 14-3-3 Zeta were greater than 0.80. This indicated that these tumor-associated antigens held high potential to serve as diagnostic biomarkers in ovarian cancer detection. Decision tree analysis indicated that anti-c-Myc held high potential in the detection of ovarian cancer. Further studies are warranted to validate the diagnostic performance of these anti-tumor-associated antigens with high area under the receiver operating characteristic curve, including autoantibodies against c-Myc, MDM2, PLAT, NPM1, 14-3-3 Zeta, p53, and RalA.https://doi.org/10.1177/1010428317699132
collection DOAJ
language English
format Article
sources DOAJ
author Hao Sun
Jian-Xiang Shi
Hong-Fei Zhang
Meng-Tao Xing
Pei Li
Li-Ping Dai
Cheng-Lin Luo
Xiao Wang
Peng Wang
Hua Ye
Liu-Xia Li
Jian-Ying Zhang
spellingShingle Hao Sun
Jian-Xiang Shi
Hong-Fei Zhang
Meng-Tao Xing
Pei Li
Li-Ping Dai
Cheng-Lin Luo
Xiao Wang
Peng Wang
Hua Ye
Liu-Xia Li
Jian-Ying Zhang
Serum autoantibodies against a panel of 15 tumor-associated antigens in the detection of ovarian cancer
Tumor Biology
author_facet Hao Sun
Jian-Xiang Shi
Hong-Fei Zhang
Meng-Tao Xing
Pei Li
Li-Ping Dai
Cheng-Lin Luo
Xiao Wang
Peng Wang
Hua Ye
Liu-Xia Li
Jian-Ying Zhang
author_sort Hao Sun
title Serum autoantibodies against a panel of 15 tumor-associated antigens in the detection of ovarian cancer
title_short Serum autoantibodies against a panel of 15 tumor-associated antigens in the detection of ovarian cancer
title_full Serum autoantibodies against a panel of 15 tumor-associated antigens in the detection of ovarian cancer
title_fullStr Serum autoantibodies against a panel of 15 tumor-associated antigens in the detection of ovarian cancer
title_full_unstemmed Serum autoantibodies against a panel of 15 tumor-associated antigens in the detection of ovarian cancer
title_sort serum autoantibodies against a panel of 15 tumor-associated antigens in the detection of ovarian cancer
publisher IOS Press
series Tumor Biology
issn 1423-0380
publishDate 2017-05-01
description In this study, enzyme-linked immunosorbent assay has been used to examine the frequencies of serum autoantibodies against two candidate tumor-associated antigens intensively selected from the Human Protein Atlas database, in combination with 13 tumor-associated antigens available from our lab in sera from 44 OC patients and 50 normal healthy controls. Conventional evaluation (mean + 3SD as the cutoff value to determine a positive reactivity), receiver operating characteristic curve analyses, and classification tree analysis were further used to evaluate the diagnostic performance of autoantibodies against these tumor-associated antigens (anti-tumor-associated antigens) in ovarian cancer. For single anti-tumor-associated antigen, when the cutoff values were set as mean + 3SD of normal healthy controls, NPM1, MDM2, PLAT, p53, and c-Myc could achieve sensitivity higher than 20% at 98% specificity. Combinational utilization of autoantibodies against MDM2, PLAT, NPM1, 14-3-3 Zeta, p53, and RalA achieved the optimal diagnostic performance with 72.7% sensitivity at 96% specificity. Receiver operating characteristic curve analysis showed that the area under the receiver operating characteristic curves of autoantibodies against c-Myc, NPM1, MDM2, p16, p53, and 14-3-3 Zeta were greater than 0.80. This indicated that these tumor-associated antigens held high potential to serve as diagnostic biomarkers in ovarian cancer detection. Decision tree analysis indicated that anti-c-Myc held high potential in the detection of ovarian cancer. Further studies are warranted to validate the diagnostic performance of these anti-tumor-associated antigens with high area under the receiver operating characteristic curve, including autoantibodies against c-Myc, MDM2, PLAT, NPM1, 14-3-3 Zeta, p53, and RalA.
url https://doi.org/10.1177/1010428317699132
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