{"title":"乳腺肿瘤中ASF1B的生物信息学分析及实验验证","authors":"Wenhao Xing, Meng Deng, Wendong Wang, Yueqi Liu, Xuefang Mi, Huixia Li, Xin Ge","doi":"10.1002/cam4.71073","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>To investigate the association between ASF1B expression and pathological characteristics of breast cancer, and to further explore its role in tumor progression and the immune microenvironment, thereby evaluating its potential as a therapeutic target.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>ASF1B expression in breast cancer was analyzed using the GEPIA2 and BEST databases. Its association with patient prognosis was assessed using Kaplan–Meier survival analysis. Protein co-expression networks were constructed using GeneMANIA. The correlation between ASF1B expression and immune cell infiltration was evaluated through the TIMER platform. Experimental validation was performed using qPCR and immunohistochemistry (IHC) on 67 breast cancer tissue samples.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>ASF1B expression was significantly elevated in breast cancer tissues compared to normal tissues (<i>p</i> < 0.05). High ASF1B expression was associated with reduced overall and recurrence-free survival (<i>p</i> < 0.05). Protein interaction analysis revealed that ASF1B was strongly linked to proteins involved in DNA replication, cell cycle progression, and chromatin remodeling. Immune analysis indicated positive correlations with B cells, neutrophils, and dendritic cells and a negative correlation with macrophage infiltration (<i>p</i> < 0.05). Clinical data further showed that high ASF1B expression was significantly associated with HER2-positive breast cancer (<i>p</i> = 0.026).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>ASF1B is highly expressed in breast cancer and correlates with poor prognosis and immune cell infiltration. It may serve as a potential prognostic biomarker and therapeutic target in breast cancer.</p>\n </section>\n </div>","PeriodicalId":139,"journal":{"name":"Cancer Medicine","volume":"14 18","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.71073","citationCount":"0","resultStr":"{\"title\":\"Bioinformatics Analysis and Experimental Validation of ASF1B in Breast Tumors\",\"authors\":\"Wenhao Xing, Meng Deng, Wendong Wang, Yueqi Liu, Xuefang Mi, Huixia Li, Xin Ge\",\"doi\":\"10.1002/cam4.71073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>To investigate the association between ASF1B expression and pathological characteristics of breast cancer, and to further explore its role in tumor progression and the immune microenvironment, thereby evaluating its potential as a therapeutic target.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>ASF1B expression in breast cancer was analyzed using the GEPIA2 and BEST databases. Its association with patient prognosis was assessed using Kaplan–Meier survival analysis. Protein co-expression networks were constructed using GeneMANIA. The correlation between ASF1B expression and immune cell infiltration was evaluated through the TIMER platform. Experimental validation was performed using qPCR and immunohistochemistry (IHC) on 67 breast cancer tissue samples.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>ASF1B expression was significantly elevated in breast cancer tissues compared to normal tissues (<i>p</i> < 0.05). High ASF1B expression was associated with reduced overall and recurrence-free survival (<i>p</i> < 0.05). Protein interaction analysis revealed that ASF1B was strongly linked to proteins involved in DNA replication, cell cycle progression, and chromatin remodeling. Immune analysis indicated positive correlations with B cells, neutrophils, and dendritic cells and a negative correlation with macrophage infiltration (<i>p</i> < 0.05). Clinical data further showed that high ASF1B expression was significantly associated with HER2-positive breast cancer (<i>p</i> = 0.026).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>ASF1B is highly expressed in breast cancer and correlates with poor prognosis and immune cell infiltration. It may serve as a potential prognostic biomarker and therapeutic target in breast cancer.</p>\\n </section>\\n </div>\",\"PeriodicalId\":139,\"journal\":{\"name\":\"Cancer Medicine\",\"volume\":\"14 18\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.71073\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cam4.71073\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cam4.71073","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Bioinformatics Analysis and Experimental Validation of ASF1B in Breast Tumors
Objective
To investigate the association between ASF1B expression and pathological characteristics of breast cancer, and to further explore its role in tumor progression and the immune microenvironment, thereby evaluating its potential as a therapeutic target.
Methods
ASF1B expression in breast cancer was analyzed using the GEPIA2 and BEST databases. Its association with patient prognosis was assessed using Kaplan–Meier survival analysis. Protein co-expression networks were constructed using GeneMANIA. The correlation between ASF1B expression and immune cell infiltration was evaluated through the TIMER platform. Experimental validation was performed using qPCR and immunohistochemistry (IHC) on 67 breast cancer tissue samples.
Results
ASF1B expression was significantly elevated in breast cancer tissues compared to normal tissues (p < 0.05). High ASF1B expression was associated with reduced overall and recurrence-free survival (p < 0.05). Protein interaction analysis revealed that ASF1B was strongly linked to proteins involved in DNA replication, cell cycle progression, and chromatin remodeling. Immune analysis indicated positive correlations with B cells, neutrophils, and dendritic cells and a negative correlation with macrophage infiltration (p < 0.05). Clinical data further showed that high ASF1B expression was significantly associated with HER2-positive breast cancer (p = 0.026).
Conclusion
ASF1B is highly expressed in breast cancer and correlates with poor prognosis and immune cell infiltration. It may serve as a potential prognostic biomarker and therapeutic target in breast cancer.
期刊介绍：
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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