Identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancer
Cancer metastasis is a major cause of cancer-related deaths worldwide. The ability to detect and monitor circulating tumor cells (CTCs) offers a promising approach to early detection and management of metastasis. Although studies on epithelial markers for CTC detection are actively underway, the dis...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-07-01
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| Series: | Biochemistry and Biophysics Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405580824000165 |
| _version_ | 1797311497106358272 |
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| author | Yongdeuk Hwang Yurim Kim Jiin Min Jinmyung Jung |
| author_facet | Yongdeuk Hwang Yurim Kim Jiin Min Jinmyung Jung |
| author_sort | Yongdeuk Hwang |
| collection | DOAJ |
| description | Cancer metastasis is a major cause of cancer-related deaths worldwide. The ability to detect and monitor circulating tumor cells (CTCs) offers a promising approach to early detection and management of metastasis. Although studies on epithelial markers for CTC detection are actively underway, the discovery of mesenchymal markers has not been studied sufficiently. In this study, we developed a new pipeline to identify membrane markers in CTCs of mesenchymal state in breast cancer based on expression profiles of the 310 CTC samples. From the total CTC samples, only CTC samples in the mesenchymal state were collected by employing hierarchical clustering. In samples belonging to the mesenchymal state, we calculated the correlation coefficients between 1995 membrane genes and ZEB2, which was determined as the key mesenchymal signature, allowing the 84 positively correlated genes. Furthermore, to ensure clinical significance, Kaplan-Meier analysis were performed on the 124 breast cancer patients, resulting in the 14 genes predicting prognosis. By exploring genes commonly identified in the both analyses, F11R and PTGIR were characterized as membrane markers in CTCs of mesenchymal state in breast cancer, which were evaluated by enriched terms, literature evidence, and relevant molecular pathways. We expect that the results will be helpful to more effective strategies for metastasis management. |
| first_indexed | 2024-03-08T02:00:35Z |
| format | Article |
| id | doaj.art-2b58964f2b414216b0635cfb2de233cb |
| institution | Directory Open Access Journal |
| issn | 2405-5808 |
| language | English |
| last_indexed | 2024-03-08T02:00:35Z |
| publishDate | 2024-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Biochemistry and Biophysics Reports |
| spelling | doaj.art-2b58964f2b414216b0635cfb2de233cb2024-02-14T05:17:38ZengElsevierBiochemistry and Biophysics Reports2405-58082024-07-0138101652Identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancerYongdeuk Hwang0Yurim Kim1Jiin Min2Jinmyung Jung3Division of Data Science, College of Information and Communication Technology, The University of Suwon, Hwaseong, 18323, Republic of KoreaDivision of Data Science, College of Information and Communication Technology, The University of Suwon, Hwaseong, 18323, Republic of KoreaDivision of Data Science, College of Information and Communication Technology, The University of Suwon, Hwaseong, 18323, Republic of KoreaCorresponding author.; Division of Data Science, College of Information and Communication Technology, The University of Suwon, Hwaseong, 18323, Republic of KoreaCancer metastasis is a major cause of cancer-related deaths worldwide. The ability to detect and monitor circulating tumor cells (CTCs) offers a promising approach to early detection and management of metastasis. Although studies on epithelial markers for CTC detection are actively underway, the discovery of mesenchymal markers has not been studied sufficiently. In this study, we developed a new pipeline to identify membrane markers in CTCs of mesenchymal state in breast cancer based on expression profiles of the 310 CTC samples. From the total CTC samples, only CTC samples in the mesenchymal state were collected by employing hierarchical clustering. In samples belonging to the mesenchymal state, we calculated the correlation coefficients between 1995 membrane genes and ZEB2, which was determined as the key mesenchymal signature, allowing the 84 positively correlated genes. Furthermore, to ensure clinical significance, Kaplan-Meier analysis were performed on the 124 breast cancer patients, resulting in the 14 genes predicting prognosis. By exploring genes commonly identified in the both analyses, F11R and PTGIR were characterized as membrane markers in CTCs of mesenchymal state in breast cancer, which were evaluated by enriched terms, literature evidence, and relevant molecular pathways. We expect that the results will be helpful to more effective strategies for metastasis management.http://www.sciencedirect.com/science/article/pii/S2405580824000165Circulating tumor cellsMesenchymal stateMembrane markerBreast cancer |
| spellingShingle | Yongdeuk Hwang Yurim Kim Jiin Min Jinmyung Jung Identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancer Biochemistry and Biophysics Reports Circulating tumor cells Mesenchymal state Membrane marker Breast cancer |
| title | Identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancer |
| title_full | Identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancer |
| title_fullStr | Identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancer |
| title_full_unstemmed | Identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancer |
| title_short | Identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancer |
| title_sort | identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancer |
| topic | Circulating tumor cells Mesenchymal state Membrane marker Breast cancer |
| url | http://www.sciencedirect.com/science/article/pii/S2405580824000165 |
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