A Novel RNA-Seq-Based Model for Preoperative Prediction of Lymph Node Metastasis in Oral Squamous Cell Carcinoma
المؤلفون المشاركون
Qiao, Bo
Zhao, Min
Wu, Jing
Wu, Huan
Zhao, Yiming
Meng, Fanhao
Tian, Yu
Wang, Situo
Shi, Jinlong
Zhang, Haizhong
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-31
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Objective.
To develop and validate a novel RNA-seq-based nomogram for preoperative prediction of lymph node metastasis (LNM) for patients with oral squamous cell carcinoma (OSCC).
Methods.
RNA-seq data for 276 OSCC patients (including 157 samples with LNM and 119 without LNM) were downloaded from TCGA database.
Differential expression analysis was performed between LNM and non-LNM of OSCC.
These samples were divided into a training set and a test set by a ratio of 9 : 1 while the relative proportion of the non-LNM and LNM groups was kept balanced within each dataset.
Based on clinical features and seven candidate RNAs, we established a prediction model of LNM for OSCC using logistic regression analysis.
Tenfold crossvalidation was utilized to examine the accuracy of the nomogram.
Decision curve analysis was performed to evaluate the clinical utility of the nomogram.
Results.
A total of 139 differentially expressed RNAs were identified between LNM and non-LNM of OSCC.
Seven candidate RNAs were screened based on FPKM values, including NEURL1, AL162581.1 (miscRNA), AP002336.2 (lncRNA), CCBE1, CORO6, RDH12, and AC129492.6 (pseudogene).
Logistic regression analysis revealed that the clinical N stage (p<0.001) was an important factor to predict LNM.
Moreover, three RNAs including RDH12 (p value < 0.05), CCBE1 (p value < 0.01), and AL162581.1 (p value < 0.05) could be predictive biomarkers for LNM in OSCC patients.
The average accuracy rate of the model was 0.7661, indicating a good performance of the model.
Conclusion.
Our findings constructed an RNA-seq-based nomogram combined with clinicopathology, which could potentially provide clinicians with a useful tool for preoperative prediction of LNM and be tailored for individualized therapy in patients with OSCC.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Qiao, Bo& Zhao, Min& Wu, Jing& Wu, Huan& Zhao, Yiming& Meng, Fanhao…[et al.]. 2020. A Novel RNA-Seq-Based Model for Preoperative Prediction of Lymph Node Metastasis in Oral Squamous Cell Carcinoma. BioMed Research International،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1133817
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Qiao, Bo…[et al.]. A Novel RNA-Seq-Based Model for Preoperative Prediction of Lymph Node Metastasis in Oral Squamous Cell Carcinoma. BioMed Research International No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1133817
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Qiao, Bo& Zhao, Min& Wu, Jing& Wu, Huan& Zhao, Yiming& Meng, Fanhao…[et al.]. A Novel RNA-Seq-Based Model for Preoperative Prediction of Lymph Node Metastasis in Oral Squamous Cell Carcinoma. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1133817
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1133817
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