High expression of SULF1 is associated with adverse prognosis in breast cancer brain metastasis
Abstract Background Breast cancer is the most common cancer in women, and in advanced stages, it often metastasizes to the brain. However, research on the biological mechanisms of breast cancer brain metastasis and potential therapeutic targets are limited. Methods Differential gene expression analy...
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| Format: | Article |
| Language: | English |
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Wiley
2025-01-01
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| Series: | Animal Models and Experimental Medicine |
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| Online Access: | https://doi.org/10.1002/ame2.12406 |
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| author | Yitong Li Tingting Feng Qinghong Wang Yue Wu Jue Wang Wenlong Zhang Qi Kong |
| author_facet | Yitong Li Tingting Feng Qinghong Wang Yue Wu Jue Wang Wenlong Zhang Qi Kong |
| author_sort | Yitong Li |
| collection | DOAJ |
| description | Abstract Background Breast cancer is the most common cancer in women, and in advanced stages, it often metastasizes to the brain. However, research on the biological mechanisms of breast cancer brain metastasis and potential therapeutic targets are limited. Methods Differential gene expression analysis (DEGs) for the datasets GSE43837 and GSE125989 from the GEO database was performed using online analysis tools such as GEO2R and Sangerbox. Further investigation related to SULF1 was conducted using online databases such as Kaplan–Meier Plotter and cBioPortal. Thus, expression levels, variations, associations with HER2, biological processes, and pathways involving SULF1 could be analyzed using UALCAN, cBioPortal, GEPIA2, and LinkedOmics databases. Moreover, the sensitivity of SULF1 to existing drugs was explored using drug databases such as RNAactDrug and CADSP. Results High expression of SULF1 was associated with poor prognosis in advanced breast cancer brain metastasis and was positively correlated with the expression of HER2. In the metastatic breast cancer population, SULF1 ranked top among the 16 DEGs with the highest mutation rate, reaching 11%, primarily due to amplification. KEGG and GSEA analyses revealed that the genes co‐expressed with SULF1 were positively enriched in the ‘ECM‐receptor interaction’ gene set and negatively enriched in the ‘Ribosome’ gene set. Currently, docetaxel and vinorelbine can act as treatment options if the expression of SULF1 is high. Conclusions This study, through bioinformatics analysis, unveiled SULF1 as a potential target for treating breast cancer brain metastasis (BM). |
| format | Article |
| id | doaj-art-3ea8a94f2be14d5999d4be6546e30b41 |
| institution | Kabale University |
| issn | 2576-2095 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Animal Models and Experimental Medicine |
| spelling | doaj-art-3ea8a94f2be14d5999d4be6546e30b412025-02-06T03:52:56ZengWileyAnimal Models and Experimental Medicine2576-20952025-01-018116217010.1002/ame2.12406High expression of SULF1 is associated with adverse prognosis in breast cancer brain metastasisYitong Li0Tingting Feng1Qinghong Wang2Yue Wu3Jue Wang4Wenlong Zhang5Qi Kong6NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Sciences Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC) Beijing ChinaNHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Sciences Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC) Beijing ChinaNHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Sciences Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC) Beijing ChinaNHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Sciences Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC) Beijing ChinaNHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Sciences Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC) Beijing ChinaNHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Sciences Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC) Beijing ChinaNHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Sciences Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC) Beijing ChinaAbstract Background Breast cancer is the most common cancer in women, and in advanced stages, it often metastasizes to the brain. However, research on the biological mechanisms of breast cancer brain metastasis and potential therapeutic targets are limited. Methods Differential gene expression analysis (DEGs) for the datasets GSE43837 and GSE125989 from the GEO database was performed using online analysis tools such as GEO2R and Sangerbox. Further investigation related to SULF1 was conducted using online databases such as Kaplan–Meier Plotter and cBioPortal. Thus, expression levels, variations, associations with HER2, biological processes, and pathways involving SULF1 could be analyzed using UALCAN, cBioPortal, GEPIA2, and LinkedOmics databases. Moreover, the sensitivity of SULF1 to existing drugs was explored using drug databases such as RNAactDrug and CADSP. Results High expression of SULF1 was associated with poor prognosis in advanced breast cancer brain metastasis and was positively correlated with the expression of HER2. In the metastatic breast cancer population, SULF1 ranked top among the 16 DEGs with the highest mutation rate, reaching 11%, primarily due to amplification. KEGG and GSEA analyses revealed that the genes co‐expressed with SULF1 were positively enriched in the ‘ECM‐receptor interaction’ gene set and negatively enriched in the ‘Ribosome’ gene set. Currently, docetaxel and vinorelbine can act as treatment options if the expression of SULF1 is high. Conclusions This study, through bioinformatics analysis, unveiled SULF1 as a potential target for treating breast cancer brain metastasis (BM).https://doi.org/10.1002/ame2.12406brain metastasisbreast cancerpotential therapeutic targetSULF1 |
| spellingShingle | Yitong Li Tingting Feng Qinghong Wang Yue Wu Jue Wang Wenlong Zhang Qi Kong High expression of SULF1 is associated with adverse prognosis in breast cancer brain metastasis Animal Models and Experimental Medicine brain metastasis breast cancer potential therapeutic target SULF1 |
| title | High expression of SULF1 is associated with adverse prognosis in breast cancer brain metastasis |
| title_full | High expression of SULF1 is associated with adverse prognosis in breast cancer brain metastasis |
| title_fullStr | High expression of SULF1 is associated with adverse prognosis in breast cancer brain metastasis |
| title_full_unstemmed | High expression of SULF1 is associated with adverse prognosis in breast cancer brain metastasis |
| title_short | High expression of SULF1 is associated with adverse prognosis in breast cancer brain metastasis |
| title_sort | high expression of sulf1 is associated with adverse prognosis in breast cancer brain metastasis |
| topic | brain metastasis breast cancer potential therapeutic target SULF1 |
| url | https://doi.org/10.1002/ame2.12406 |
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