cg04448376, cg24387542, cg08548498, and cg14621323 as a Novel Signature to Predict Prognosis in Kidney Renal Papillary Cell Carcinoma
المؤلفون المشاركون
Zhang, Ying-Ying
Wang, Ying-Lei
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-17
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Introduction.
DNA methylation plays a vital role in prognosis prediction of cancers.
In this study, we aimed to identify novel DNA methylation site biomarkers and create an efficient methylated site model for predicting survival in kidney renal papillary cell carcinoma (KIRP).
Methods.
DNA methylation and gene expression profile data were downloaded from The Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) database.
Differential methylated genes (DMGs) and differential expression genes (DEGs) were identified and then searched for the hub genes.
Cox proportional hazards regression was applied to identify DNA methylated site biomarkers from the hub genes.
Kaplan–Meier survival and ROC analyses were used to validate the effective prognostic ability of the methylation gene site biomarker.
The biomarker sites were validated in the GEO cohorts.
The GO and KEGG annotation was done to explore the biological function of DNA methylated site signature.
Results.
Nine DMGs with opposite expression patterns containing 47 methylated sites were identified.
Finally, four methylated sites were identified using the hazard regression model (cg04448376, cg24387542, cg08548498, and cg14621323) located in UTY, LGALS9B, SLPI, and PFN3, respectively.
These sites classified patients into high- and low-risk groups in the training cohort.
The 5-year survival rates for patients with low-risk and high-risk scores were 97.5% and 75.9% (P<0.001).
The prognostic accuracy and signature methylation sites were validated in the test (TCGA, n=87) and GEO cohorts (n=14).
Multivariate regression analysis showed that the signature was an independent prediction prognostic factor for KIRP.
Based on this analysis, we developed methylated site signature nomogram that predicts an individual’s risk of survival.
Functional analysis suggested that these signature genes are involved in the biological processes of protein binding.
Conclusions.
Our study demonstrated that the methylated gene site signature might be a powerful prognostic tool for evaluating survival rate and guiding tailored therapy for KIRP patients.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Ying-Lei& Zhang, Ying-Ying. 2020. cg04448376, cg24387542, cg08548498, and cg14621323 as a Novel Signature to Predict Prognosis in Kidney Renal Papillary Cell Carcinoma. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1134268
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Ying-Lei& Zhang, Ying-Ying. cg04448376, cg24387542, cg08548498, and cg14621323 as a Novel Signature to Predict Prognosis in Kidney Renal Papillary Cell Carcinoma. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1134268
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Ying-Lei& Zhang, Ying-Ying. cg04448376, cg24387542, cg08548498, and cg14621323 as a Novel Signature to Predict Prognosis in Kidney Renal Papillary Cell Carcinoma. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1134268
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1134268
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