Deciphering Immune-Associated Genes to Predict Survival in Clear Cell Renal Cell Cancer
المؤلفون المشاركون
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-12-07
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Background.
To elucidate the correlations between tumor microenvironment and clinical characteristics as well as prognosis in clear cell renal cell cancer (ccRCC) and investigate the immune-associated genes by a comprehensive analysis of The Cancer Genome Atlas (TCGA) database.
Methods.
We collected mRNA expression profiles of 537 ccRCC samples from the TCGA database.
Immune scores and stromal scores were calculated by applying the ESTIMATE algorithm.
We evaluated the correlation between immune/stromal scores and clinical characteristics as well as prognosis.
The differentially expressed genes (DEGs) were screened between high immune/stromal score and low immune/stromal score groups by the cutoff of |log (fold change)| > 1, P value <0.05 by using package “limma” in R.
Functional enrichment analysis was performed by DAVID, and the protein-protein interaction network of intersected DEGs between stromal score and immune score groups was conducted using the STRING database.
The Kaplan–Meier method was used to explore DEGs with predictive values in overall survival, and the prognostic DEGs were further validated in a Gene Expression Omnibus (GEO) dataset GSE29609.
Results.
A higher immune score was associated with T3/4 (vs.
T1/2, P<0.001), N1 (vs.
N0, P=0.05), M1 (vs.
M0, P=0.004), G3/4 (vs.
G1/2, P<0.001), advanced AJCC stage (P<0.001), and shorter overall survival (P=0.04).
Intersected DEGs between immune and stromal score groups were 48 upregulated and 47 downregulated genes, with 43 DEGs associated with overall survival in ccRCC.
After validation by a cohort of 39 ccRCC cases with detailed follow-up information from GSE29609, six immune-associated DEGs including CASP5, HSD11B1, VSIG4, HMGCS2, HSD11B2, and OGDHL were demonstrated to be predictive of prognosis in ccRCC.
Conclusions.
Our study elucidated tight associations between immune score and clinical characteristics as well as prognosis in ccRCC.
Moreover, six DEGs were explored and validated to exert predictive values in overall survival of ccRCC.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hu, Daixing& Zhou, Mi& Zhu, Xin. 2019. Deciphering Immune-Associated Genes to Predict Survival in Clear Cell Renal Cell Cancer. BioMed Research International،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1123881
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hu, Daixing…[et al.]. Deciphering Immune-Associated Genes to Predict Survival in Clear Cell Renal Cell Cancer. BioMed Research International No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1123881
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hu, Daixing& Zhou, Mi& Zhu, Xin. Deciphering Immune-Associated Genes to Predict Survival in Clear Cell Renal Cell Cancer. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1123881
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1123881
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر