Identification of serum glycobiomarkers for Hepatocellular Carcinoma using lectin microarrays
ObjectiveHepatocellular carcinoma (HCC) is the sixth most commonly occurring cancer and ranks third in mortality among all malignant tumors; as a result, HCC represents a major human health issue. Although aberrant glycosylation is clearly implicated in HCC, changes in serum immunoglobulin (Ig)G and...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.973993/full |
| _version_ | 1798028721388519424 |
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| author | Yue Zhang Yue Zhang Sihua Zhang Sihua Zhang Jianhua Liu Jianhua Liu Yunli Zhang Yanjie Liu Shuang Shen Fangfang Tian Gaobo Yan Yongqing Gao Xiaosong Qin Xiaosong Qin |
| author_facet | Yue Zhang Yue Zhang Sihua Zhang Sihua Zhang Jianhua Liu Jianhua Liu Yunli Zhang Yanjie Liu Shuang Shen Fangfang Tian Gaobo Yan Yongqing Gao Xiaosong Qin Xiaosong Qin |
| author_sort | Yue Zhang |
| collection | DOAJ |
| description | ObjectiveHepatocellular carcinoma (HCC) is the sixth most commonly occurring cancer and ranks third in mortality among all malignant tumors; as a result, HCC represents a major human health issue. Although aberrant glycosylation is clearly implicated in HCC, changes in serum immunoglobulin (Ig)G and IgM glycosylation have not been comprehensively characterized. In this study, we used lectin microarrays to evaluate differences in serum IgG and IgM glycosylation among patients with HCC, hepatitis B cirrhosis (HBC), or chronic hepatitis B (CHB), and healthy normal controls (NC) and aimed to establish a model to improve the diagnostic accuracy of HCC.MethodsIn total, 207 serum samples collected in 2019–2020 were used for lectin microarray analyses, including 97 cases of HCC, 50 cases of HBC, 30 cases of CHB, and 30 cases of NC. Samples were randomly divided into training and validation groups at a 2:1 ratio. Training group data were used to investigate the diagnostic value of the relative signal intensity for the lectin probe combined with alpha-fetoprotein (AFP). The efficacy of models for HCC diagnosis were analyzed by receiver operating characteristic (ROC) curves.ResultsIn terms of IgG, a model combining three lectins and AFP had good diagnostic accuracy for HCC. The area under the ROC curve was 0.96 (P < 0.05), the sensitivity was 82.54%, and the specificity was 100%. In terms of IgM, a model including one lectin combined with AFP had an area under the curve of 0.90 (P < 0.05), sensitivity of 75.41%, and specificity of 100%.ConclusionEstimation of serum IgG and IgM glycosylation could act as complementary techniques to improve diagnosis and shed light on the occurrence and development of the HCC |
| first_indexed | 2024-04-11T19:13:57Z |
| format | Article |
| id | doaj.art-01fc8bd600e3418cbc51b2ca0882d9ec |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-04-11T19:13:57Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj.art-01fc8bd600e3418cbc51b2ca0882d9ec2022-12-22T04:07:30ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-10-011310.3389/fimmu.2022.973993973993Identification of serum glycobiomarkers for Hepatocellular Carcinoma using lectin microarraysYue Zhang0Yue Zhang1Sihua Zhang2Sihua Zhang3Jianhua Liu4Jianhua Liu5Yunli Zhang6Yanjie Liu7Shuang Shen8Fangfang Tian9Gaobo Yan10Yongqing Gao11Xiaosong Qin12Xiaosong Qin13Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, ChinaLiaoning Clinical Research Center for Laboratory Medicine, Shenyang, ChinaDepartment of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, ChinaLiaoning Clinical Research Center for Laboratory Medicine, Shenyang, ChinaDepartment of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, ChinaLiaoning Clinical Research Center for Laboratory Medicine, Shenyang, ChinaDepartment of Laboratory Medicine, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, ChinaDepartment of Laboratory Medicine, Chaoyang Central Hospital, Chaoyang, ChinaDepartment of Laboratory Medicine, Huludao Central Hospital, Huludao, ChinaDepartment of Laboratory Medicine, Fuxin Central Hospital, Fuxin, ChinaDepartment of Laboratory Medicine, Dandong Central Hospital, Dandong, ChinaDepartment of Laboratory Medicine, Tieling Central Hospital, Tieling, ChinaDepartment of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, ChinaLiaoning Clinical Research Center for Laboratory Medicine, Shenyang, ChinaObjectiveHepatocellular carcinoma (HCC) is the sixth most commonly occurring cancer and ranks third in mortality among all malignant tumors; as a result, HCC represents a major human health issue. Although aberrant glycosylation is clearly implicated in HCC, changes in serum immunoglobulin (Ig)G and IgM glycosylation have not been comprehensively characterized. In this study, we used lectin microarrays to evaluate differences in serum IgG and IgM glycosylation among patients with HCC, hepatitis B cirrhosis (HBC), or chronic hepatitis B (CHB), and healthy normal controls (NC) and aimed to establish a model to improve the diagnostic accuracy of HCC.MethodsIn total, 207 serum samples collected in 2019–2020 were used for lectin microarray analyses, including 97 cases of HCC, 50 cases of HBC, 30 cases of CHB, and 30 cases of NC. Samples were randomly divided into training and validation groups at a 2:1 ratio. Training group data were used to investigate the diagnostic value of the relative signal intensity for the lectin probe combined with alpha-fetoprotein (AFP). The efficacy of models for HCC diagnosis were analyzed by receiver operating characteristic (ROC) curves.ResultsIn terms of IgG, a model combining three lectins and AFP had good diagnostic accuracy for HCC. The area under the ROC curve was 0.96 (P < 0.05), the sensitivity was 82.54%, and the specificity was 100%. In terms of IgM, a model including one lectin combined with AFP had an area under the curve of 0.90 (P < 0.05), sensitivity of 75.41%, and specificity of 100%.ConclusionEstimation of serum IgG and IgM glycosylation could act as complementary techniques to improve diagnosis and shed light on the occurrence and development of the HCChttps://www.frontiersin.org/articles/10.3389/fimmu.2022.973993/fullHepatocellular carcinomalectin microarrayglycosylationimmunoglobulin Gimmunoglobulin Mbiomarker |
| spellingShingle | Yue Zhang Yue Zhang Sihua Zhang Sihua Zhang Jianhua Liu Jianhua Liu Yunli Zhang Yanjie Liu Shuang Shen Fangfang Tian Gaobo Yan Yongqing Gao Xiaosong Qin Xiaosong Qin Identification of serum glycobiomarkers for Hepatocellular Carcinoma using lectin microarrays Frontiers in Immunology Hepatocellular carcinoma lectin microarray glycosylation immunoglobulin G immunoglobulin M biomarker |
| title | Identification of serum glycobiomarkers for Hepatocellular Carcinoma using lectin microarrays |
| title_full | Identification of serum glycobiomarkers for Hepatocellular Carcinoma using lectin microarrays |
| title_fullStr | Identification of serum glycobiomarkers for Hepatocellular Carcinoma using lectin microarrays |
| title_full_unstemmed | Identification of serum glycobiomarkers for Hepatocellular Carcinoma using lectin microarrays |
| title_short | Identification of serum glycobiomarkers for Hepatocellular Carcinoma using lectin microarrays |
| title_sort | identification of serum glycobiomarkers for hepatocellular carcinoma using lectin microarrays |
| topic | Hepatocellular carcinoma lectin microarray glycosylation immunoglobulin G immunoglobulin M biomarker |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.973993/full |
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