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Recognition of Immune Microenvironment Landscape and Immune-Related Prognostic Genes in Breast Cancer
المؤلفون المشاركون
Wang, Huiling
You, Shuo
Fang, Qian
Fang, Meng
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-16
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Background.
Breast cancer (BC) is the most common malignant tumor in women.
The immunophenotype of tumor microenvironment (TME) has shown great therapeutic potential in tumor.
Method.
The transcriptome was obtained from TCGA and GEO data.
Immune infiltration was analyzed by single-sample gene set enrichment (ssGSEA).
The immune feature was constructed by Cox regression analysis.
In addition, the coexpression of differential expression genes (DEGs) was identified.
Through enrichment analysis, the function and pathway of module genes were identified.
The somatic mutations related to immune characteristics were analyzed by Maftools.
By using the consistency clustering algorithm, the molecular subtypes were constructed, and the overall survival time (OS) was predicted.
Results.
Immune landscape can be divided into low immune infiltration and high immune infiltration.
Cox regression analysis identified seven immune cells as protective factors of BC.
In the coexpression modules for DEGs of high and low immune infiltration, module 1 was related to T cells and high immune infiltration.
In particular, the area under the curve (AUC) value of hub gene SASH3 was the highest, and the correlation with T cells was stronger in the high immune infiltration.
Enrichment analysis found that oxidative stress, T cell aggregation, and apoptosis were observed in high immune infiltration.
In addition, TP53 was identified as the most important somatic gene mutation related to immune characteristics.
Importantly, we also constructed seven immune cell-based breast cancer subtypes to predict OS.
Conclusion.
We evaluated the immune landscape of BC and constructed the gene characteristics related to the immune landscape.
The potential of T cells and SASH3 in immunotherapy of BC was revealed, which may guide the development of new clinical treatment strategies.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Huiling& You, Shuo& Fang, Meng& Fang, Qian. 2020. Recognition of Immune Microenvironment Landscape and Immune-Related Prognostic Genes in Breast Cancer. BioMed Research International،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1133540
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Huiling…[et al.]. Recognition of Immune Microenvironment Landscape and Immune-Related Prognostic Genes in Breast Cancer. BioMed Research International No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1133540
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Huiling& You, Shuo& Fang, Meng& Fang, Qian. Recognition of Immune Microenvironment Landscape and Immune-Related Prognostic Genes in Breast Cancer. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1133540
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1133540
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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