Development of an Autophagy Score Signature for Predicting Overall Survival in Papillary Renal Cell Carcinoma
المؤلفون المشاركون
Gu, Xiang
Chen, Xiaojun
Zhu, Lei
Song, Wenbo
Wang, Ali
Chu, Junfeng
Wang, Tao
Jiang, Peng
Ge, Yizhi
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-09
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Background.
Autophagy is considered to be closely associated with cancer, functioning as either an anticancer or procancer mechanism depending on the cancer stage.
However, the prognostic value of autophagy on papillary renal cell carcinoma (pRCC) remains unclear.
In this study, our purpose was to determine the autophagy-related mRNA signature to predict the overall survival of patients with pRCC.
Materials and Methods.
A total of 284 patients with pathologic confirmed pRCC in The Cancer Genome Atlas (TCGA) dataset were recruited and included.
We choose patients who have smoked less than 15 years but staging 3 or 4 (including nontobacco exposure) vs.
more than 15 years but staging 1 or 2.
Fourteen differentially expressed mRNAs were found with fold change>2 and P value < 0.001 through limma package after making a pair between nontobacco exposure or less than 15 years and tobacco exposure more than 15 years by matchIt package.
Results.
Six mRNAs were identified to be significantly associated with overall survival.
Then, using a risk score based on the signature of these six mRNAs, we divided the patients into low-risk and high-risk groups with significantly different OS.
Further multivariate Cox regression analyses revealed that the 6-mRNA signature was independent of age, TNM stage, and tumor type.
In the present study, a novel 6-mRNA signature that is useful in survival prediction in pRCC patients was developed.
If validated, this mRNA signature might assist in selecting high-risk subpopulation that needs more aggressive therapeutic intervention.
The risk score involved in several cancer-related pathways was identified using gene set enrichment analysis.
Conclusion.
We initially generated a six autophagy-related genes’ signature, which correlates with AJCC N stage, tumor type, and pathological stage and independently predicts OS.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gu, Xiang& Chen, Xiaojun& Zhu, Lei& Song, Wenbo& Wang, Ali& Chu, Junfeng…[et al.]. 2020. Development of an Autophagy Score Signature for Predicting Overall Survival in Papillary Renal Cell Carcinoma. Disease Markers،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1154150
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gu, Xiang…[et al.]. Development of an Autophagy Score Signature for Predicting Overall Survival in Papillary Renal Cell Carcinoma. Disease Markers No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1154150
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gu, Xiang& Chen, Xiaojun& Zhu, Lei& Song, Wenbo& Wang, Ali& Chu, Junfeng…[et al.]. Development of an Autophagy Score Signature for Predicting Overall Survival in Papillary Renal Cell Carcinoma. Disease Markers. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1154150
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1154150
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