Proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkers
Background Cervical cancer is the most common gynecological cancer, encompassing cervical squamous cell carcinoma, adenocarcinoma, and other epithelial tumors. There are many diagnostic methods to detect cervical cancers but no precision screening tool for cervical adenocarcinoma at present. Materia...
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PeerJ Inc.
2020-07-01
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| author | Zhifang Ma Jie Chen Ting Luan Chengzhuo Chu Wangfei Wu Yichao Zhu Yun Gu |
| author_facet | Zhifang Ma Jie Chen Ting Luan Chengzhuo Chu Wangfei Wu Yichao Zhu Yun Gu |
| author_sort | Zhifang Ma |
| collection | DOAJ |
| description | Background Cervical cancer is the most common gynecological cancer, encompassing cervical squamous cell carcinoma, adenocarcinoma, and other epithelial tumors. There are many diagnostic methods to detect cervical cancers but no precision screening tool for cervical adenocarcinoma at present. Material and methods The cervical mucus from three normal cervices (Ctrl), three endocervical adenocarcinoma (EA), and three cervical adenocarcinoma in situ (AIS) was collected for proteomic analysis. The proteins were screened using liquid chromatography-mass spectrometry analysis (LC-MS). The biological function of the differently expressed proteins were predicted by Gene Ontology (GO). Results A total of 711 proteins were identified, including 237 differently expressed proteins identified in EA/Ctrl comparison, 256 differently expressed proteins identified in AIS/Ctrl comparison, and 242 differently expressed proteins identified in AIS/EA comparison (up-regulate ≥ 1.5 or down-regulate ≤ 0.67). Functional annotation was performed using GO analysis on 1,056 differently expressed proteins to identify those that may impact cervical cancer, such as heme protein myeloperoxidase, which is involved in the immune process, and APOA1, which is associated with lipid metabolism. Conclusion We used proteomic analysis to screen out differently expressed proteins from normal cervical mucus and cervical adenocarcinoma mucus samples. These differently expressed proteins may be potential biomarkers for the diagnosis and treatment of cervical adenocarcinoma but require additional study. |
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| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T07:04:36Z |
| publishDate | 2020-07-01 |
| publisher | PeerJ Inc. |
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| spelling | doaj.art-db57ea4a89b84ebb9f3ed6382993a75c2023-12-03T09:45:53ZengPeerJ Inc.PeerJ2167-83592020-07-018e952710.7717/peerj.9527Proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkersZhifang Ma0Jie Chen1Ting Luan2Chengzhuo Chu3Wangfei Wu4Yichao Zhu5Yun Gu6Department of Pathology, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, ChinaDepartment of Gynecology, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, ChinaDepartment of Gynecology, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, ChinaDepartment of Pathology, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, ChinaDepartment of Pathology, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, ChinaDepartment of Physiology, Nanjing Medical University, Nanjing, ChinaDepartment of Pathology, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, ChinaBackground Cervical cancer is the most common gynecological cancer, encompassing cervical squamous cell carcinoma, adenocarcinoma, and other epithelial tumors. There are many diagnostic methods to detect cervical cancers but no precision screening tool for cervical adenocarcinoma at present. Material and methods The cervical mucus from three normal cervices (Ctrl), three endocervical adenocarcinoma (EA), and three cervical adenocarcinoma in situ (AIS) was collected for proteomic analysis. The proteins were screened using liquid chromatography-mass spectrometry analysis (LC-MS). The biological function of the differently expressed proteins were predicted by Gene Ontology (GO). Results A total of 711 proteins were identified, including 237 differently expressed proteins identified in EA/Ctrl comparison, 256 differently expressed proteins identified in AIS/Ctrl comparison, and 242 differently expressed proteins identified in AIS/EA comparison (up-regulate ≥ 1.5 or down-regulate ≤ 0.67). Functional annotation was performed using GO analysis on 1,056 differently expressed proteins to identify those that may impact cervical cancer, such as heme protein myeloperoxidase, which is involved in the immune process, and APOA1, which is associated with lipid metabolism. Conclusion We used proteomic analysis to screen out differently expressed proteins from normal cervical mucus and cervical adenocarcinoma mucus samples. These differently expressed proteins may be potential biomarkers for the diagnosis and treatment of cervical adenocarcinoma but require additional study.https://peerj.com/articles/9527.pdfCervical adenocarcinomaMucusProteomicsBiomarkers |
| spellingShingle | Zhifang Ma Jie Chen Ting Luan Chengzhuo Chu Wangfei Wu Yichao Zhu Yun Gu Proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkers PeerJ Cervical adenocarcinoma Mucus Proteomics Biomarkers |
| title | Proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkers |
| title_full | Proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkers |
| title_fullStr | Proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkers |
| title_full_unstemmed | Proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkers |
| title_short | Proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkers |
| title_sort | proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkers |
| topic | Cervical adenocarcinoma Mucus Proteomics Biomarkers |
| url | https://peerj.com/articles/9527.pdf |
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