Quantification of Tumor Abnormal Proteins in the Diagnosis and Postoperative Prognostic Evaluation of Gastric Cancer
Background: Abnormal glycosylation of proteins has been identified in almost all types of cancers and is closely related to the cancer progression, metastasis, and survival of cancer patients. This study was to explore the values of serum tumor abnormal protein (TAP), an abnormal glycochain protein,...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2022-06-01
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| Series: | Clinical Medicine Insights: Oncology |
| Online Access: | https://doi.org/10.1177/11795549221104440 |
| _version_ | 1811332520580481024 |
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| author | Chao Gu Li Xie Bowen Li Lu Zhang Fengyuan Li Weizhi Wang Jiang Su Zekuan Xu |
| author_facet | Chao Gu Li Xie Bowen Li Lu Zhang Fengyuan Li Weizhi Wang Jiang Su Zekuan Xu |
| author_sort | Chao Gu |
| collection | DOAJ |
| description | Background: Abnormal glycosylation of proteins has been identified in almost all types of cancers and is closely related to the cancer progression, metastasis, and survival of cancer patients. This study was to explore the values of serum tumor abnormal protein (TAP), an abnormal glycochain protein, in the diagnosis and prognosis of gastric cancer (GC). Methods: A total of 335 GC patients were included as the study group, and another 335 subjects served as the control group. Tumor abnormal protein expression was compared between the 2 groups. Correlation analysis was used to assess the correlations of TAP with clinicopathological factors. Gastric cancer patients were divided into training set and test set at a ratio of 2:1. Univariate and multivariate Cox regression analyses in training set were used to evaluate the prognostic significance of TAP in GC patients and explore the independent risk factors for overall survival (OS) and disease-free survival (DFS) to establish a prognostic model, followed by testing of the model. According to the median of TAP, 335 GC patients were divided into 2 groups to plot the survival curves of OS and DFS. Results: Tumor abnormal protein expression in the study group was significantly higher than in the control group. Taking the best cut-off value of TAP (110.128 μm 2 ) as the diagnostic criteria for GC, the sensitivity and specificity of TAP were 83.58% and 97.61%, respectively, and the area under the receiver operating characteristics (ROC) curve was 0.935, which was not inferior to computed tomography (CT). Tumor abnormal protein expression was an independent risk factor for OS and DFS. The prognostic predictive value of TAP was better than that of pathological stage in GC patients. The model with TAP was effective in predicting prognosis. Conclusion: Tumor abnormal protein is an effective indicator for early screening and prognostic evaluation of GC and can also assist the clinical diagnosis and treatment of GC. |
| first_indexed | 2024-04-13T16:38:08Z |
| format | Article |
| id | doaj.art-7b3ab490b380437e86123ca08a3f8f44 |
| institution | Directory Open Access Journal |
| issn | 1179-5549 |
| language | English |
| last_indexed | 2024-04-13T16:38:08Z |
| publishDate | 2022-06-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Clinical Medicine Insights: Oncology |
| spelling | doaj.art-7b3ab490b380437e86123ca08a3f8f442022-12-22T02:39:22ZengSAGE PublishingClinical Medicine Insights: Oncology1179-55492022-06-011610.1177/11795549221104440Quantification of Tumor Abnormal Proteins in the Diagnosis and Postoperative Prognostic Evaluation of Gastric CancerChao Gu0Li Xie1Bowen Li2Lu Zhang3Fengyuan Li4Weizhi Wang5Jiang Su6Zekuan Xu7Department of General Surgery, The Affiliated Suzhou Hospital, Nanjing Medical University, Suzhou, ChinaDepartment of General Surgery, The First Affiliated Hospital, Nanjing Medical University, Nanjing, ChinaDepartment of General Surgery, The First Affiliated Hospital, Nanjing Medical University, Nanjing, ChinaDepartment of General Surgery, The First Affiliated Hospital, Nanjing Medical University, Nanjing, ChinaDepartment of General Surgery, The First Affiliated Hospital, Nanjing Medical University, Nanjing, ChinaDepartment of General Surgery, The First Affiliated Hospital, Nanjing Medical University, Nanjing, ChinaDepartment of General Surgery, The Affiliated Suzhou Hospital, Nanjing Medical University, Suzhou, ChinaJiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, ChinaBackground: Abnormal glycosylation of proteins has been identified in almost all types of cancers and is closely related to the cancer progression, metastasis, and survival of cancer patients. This study was to explore the values of serum tumor abnormal protein (TAP), an abnormal glycochain protein, in the diagnosis and prognosis of gastric cancer (GC). Methods: A total of 335 GC patients were included as the study group, and another 335 subjects served as the control group. Tumor abnormal protein expression was compared between the 2 groups. Correlation analysis was used to assess the correlations of TAP with clinicopathological factors. Gastric cancer patients were divided into training set and test set at a ratio of 2:1. Univariate and multivariate Cox regression analyses in training set were used to evaluate the prognostic significance of TAP in GC patients and explore the independent risk factors for overall survival (OS) and disease-free survival (DFS) to establish a prognostic model, followed by testing of the model. According to the median of TAP, 335 GC patients were divided into 2 groups to plot the survival curves of OS and DFS. Results: Tumor abnormal protein expression in the study group was significantly higher than in the control group. Taking the best cut-off value of TAP (110.128 μm 2 ) as the diagnostic criteria for GC, the sensitivity and specificity of TAP were 83.58% and 97.61%, respectively, and the area under the receiver operating characteristics (ROC) curve was 0.935, which was not inferior to computed tomography (CT). Tumor abnormal protein expression was an independent risk factor for OS and DFS. The prognostic predictive value of TAP was better than that of pathological stage in GC patients. The model with TAP was effective in predicting prognosis. Conclusion: Tumor abnormal protein is an effective indicator for early screening and prognostic evaluation of GC and can also assist the clinical diagnosis and treatment of GC.https://doi.org/10.1177/11795549221104440 |
| spellingShingle | Chao Gu Li Xie Bowen Li Lu Zhang Fengyuan Li Weizhi Wang Jiang Su Zekuan Xu Quantification of Tumor Abnormal Proteins in the Diagnosis and Postoperative Prognostic Evaluation of Gastric Cancer Clinical Medicine Insights: Oncology |
| title | Quantification of Tumor Abnormal Proteins in the Diagnosis and Postoperative Prognostic Evaluation of Gastric Cancer |
| title_full | Quantification of Tumor Abnormal Proteins in the Diagnosis and Postoperative Prognostic Evaluation of Gastric Cancer |
| title_fullStr | Quantification of Tumor Abnormal Proteins in the Diagnosis and Postoperative Prognostic Evaluation of Gastric Cancer |
| title_full_unstemmed | Quantification of Tumor Abnormal Proteins in the Diagnosis and Postoperative Prognostic Evaluation of Gastric Cancer |
| title_short | Quantification of Tumor Abnormal Proteins in the Diagnosis and Postoperative Prognostic Evaluation of Gastric Cancer |
| title_sort | quantification of tumor abnormal proteins in the diagnosis and postoperative prognostic evaluation of gastric cancer |
| url | https://doi.org/10.1177/11795549221104440 |
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