Metabolic Biomarkers Affecting Cell Proliferation and Prognosis in Polycythemia Vera
Polycythemia vera (PV) is a malignant clonal hematological disease of hematopoietic stem cells characterized by the proliferation of peripheral blood cells, and JAK2 mutation is one of the main causes of PV peripheral blood cell proliferation. Abnormal cell metabolism is a new feature of malignant p...
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MDPI AG
2022-10-01
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| Online Access: | https://www.mdpi.com/2072-6694/14/19/4913 |
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| author | Ziqing Wang Yan Lv Erpeng Yang Yujin Li Dehao Wang Guang Hu Yumeng Li Mingjing Wang Weiyi Liu Mingqian Sun Xiaomei Hu |
| author_facet | Ziqing Wang Yan Lv Erpeng Yang Yujin Li Dehao Wang Guang Hu Yumeng Li Mingjing Wang Weiyi Liu Mingqian Sun Xiaomei Hu |
| author_sort | Ziqing Wang |
| collection | DOAJ |
| description | Polycythemia vera (PV) is a malignant clonal hematological disease of hematopoietic stem cells characterized by the proliferation of peripheral blood cells, and JAK2 mutation is one of the main causes of PV peripheral blood cell proliferation. Abnormal cell metabolism is a new feature of malignant proliferation of tumor cells, but the role of metabolism in the pathogenesis and prognosis of PV remains unclear. We analyzed metabolic differences of peripheral blood sera between 32 PV patients and 20 healthy controls (HCs) by liquid chromatography–mass spectrometry (LC–MS) to investigate their relationship with cell proliferation and to screen for prognosis-related metabolic biomarkers. Compared to HC, 33 endogenous metabolites were significantly changed in PV and were involved in fatty acid metabolism, glucose metabolism, sphingolipid metabolism, and amino acid metabolism pathways. Among them, seven metabolites were closely associated with JAK2 mutations, 2 of which may contribute to the proliferation of peripheral blood cells in PV patients. A set of potential prognostic metabolic biomarkers containing four metabolites was identified by a receiver operating characteristic (ROC) curve according to the risk stratification of the PV patients and their combined AUC value of 0.952, with a sensitivity of 90.905% and specificity of 90.909% at the optimal cutoff point. Metabonomics is an important tool for the study of the pathogenesis of PV and the relationship between JAK2 gene mutation. Furthermore, the potential biomarkers of this study may provide a reference for the prognosis of PV. |
| first_indexed | 2024-03-09T21:55:27Z |
| format | Article |
| id | doaj.art-1b87ccfcd5d447c59395815e0d4790e2 |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-09T21:55:27Z |
| publishDate | 2022-10-01 |
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| record_format | Article |
| series | Cancers |
| spelling | doaj.art-1b87ccfcd5d447c59395815e0d4790e22023-11-23T19:58:43ZengMDPI AGCancers2072-66942022-10-011419491310.3390/cancers14194913Metabolic Biomarkers Affecting Cell Proliferation and Prognosis in Polycythemia VeraZiqing Wang0Yan Lv1Erpeng Yang2Yujin Li3Dehao Wang4Guang Hu5Yumeng Li6Mingjing Wang7Weiyi Liu8Mingqian Sun9Xiaomei Hu10Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, ChinaDepartment of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, ChinaDepartment of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, ChinaDepartment of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, ChinaDepartment of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, ChinaGraduate School, China Academy of Chinese Medical Sciences, Beijing 100700, ChinaDepartment of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, ChinaDepartment of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, ChinaDepartment of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, ChinaInstitute of Basic Medical Sciences, Xiyuan Hospital, China Academy of Chinese Medical Sciences, and Beijing Key Laboratory of Pharmacology of Traditional Chinese Medicine, Beijing 100091, ChinaDepartment of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, ChinaPolycythemia vera (PV) is a malignant clonal hematological disease of hematopoietic stem cells characterized by the proliferation of peripheral blood cells, and JAK2 mutation is one of the main causes of PV peripheral blood cell proliferation. Abnormal cell metabolism is a new feature of malignant proliferation of tumor cells, but the role of metabolism in the pathogenesis and prognosis of PV remains unclear. We analyzed metabolic differences of peripheral blood sera between 32 PV patients and 20 healthy controls (HCs) by liquid chromatography–mass spectrometry (LC–MS) to investigate their relationship with cell proliferation and to screen for prognosis-related metabolic biomarkers. Compared to HC, 33 endogenous metabolites were significantly changed in PV and were involved in fatty acid metabolism, glucose metabolism, sphingolipid metabolism, and amino acid metabolism pathways. Among them, seven metabolites were closely associated with JAK2 mutations, 2 of which may contribute to the proliferation of peripheral blood cells in PV patients. A set of potential prognostic metabolic biomarkers containing four metabolites was identified by a receiver operating characteristic (ROC) curve according to the risk stratification of the PV patients and their combined AUC value of 0.952, with a sensitivity of 90.905% and specificity of 90.909% at the optimal cutoff point. Metabonomics is an important tool for the study of the pathogenesis of PV and the relationship between JAK2 gene mutation. Furthermore, the potential biomarkers of this study may provide a reference for the prognosis of PV.https://www.mdpi.com/2072-6694/14/19/4913polycythemia veracell proliferationprognosismetabolic biomarkersmetabolomics |
| spellingShingle | Ziqing Wang Yan Lv Erpeng Yang Yujin Li Dehao Wang Guang Hu Yumeng Li Mingjing Wang Weiyi Liu Mingqian Sun Xiaomei Hu Metabolic Biomarkers Affecting Cell Proliferation and Prognosis in Polycythemia Vera Cancers polycythemia vera cell proliferation prognosis metabolic biomarkers metabolomics |
| title | Metabolic Biomarkers Affecting Cell Proliferation and Prognosis in Polycythemia Vera |
| title_full | Metabolic Biomarkers Affecting Cell Proliferation and Prognosis in Polycythemia Vera |
| title_fullStr | Metabolic Biomarkers Affecting Cell Proliferation and Prognosis in Polycythemia Vera |
| title_full_unstemmed | Metabolic Biomarkers Affecting Cell Proliferation and Prognosis in Polycythemia Vera |
| title_short | Metabolic Biomarkers Affecting Cell Proliferation and Prognosis in Polycythemia Vera |
| title_sort | metabolic biomarkers affecting cell proliferation and prognosis in polycythemia vera |
| topic | polycythemia vera cell proliferation prognosis metabolic biomarkers metabolomics |
| url | https://www.mdpi.com/2072-6694/14/19/4913 |
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