scholarly journals Correction for: Development and validation of a RNA binding protein-associated prognostic model for lung adenocarcinoma

Aging ◽  
2021 ◽  
Author(s):  
Wei Li ◽  
Li-Na Gao ◽  
Pei-Pei Song ◽  
Chong-Ge You
Keyword(s):  
Lung Adenocarcinoma ◽  
Prognostic Model ◽  
Rna Binding ◽  
Binding Protein ◽  
Rna Binding Protein ◽  
Development And Validation

scholarly journals Development and validation of a RNA binding protein-associated prognostic model for lung adenocarcinoma

Aging ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 3558-3573 ◽  
Author(s):  
Wei Li ◽  
Li-Na Gao ◽  
Pei-Pei Song ◽  
Chong-Ge You
Keyword(s):  
Lung Adenocarcinoma ◽  
Prognostic Model ◽  
Rna Binding ◽  
Binding Protein ◽  
Rna Binding Protein ◽  
Development And Validation

scholarly journals Development and validation of a prediction model for lung adenocarcinoma based on RNA-binding protein

2021 ◽  
Vol 9 (6) ◽  
pp. 474-474
Author(s):  
Longjun Yang ◽  
◽  
Rusi Zhang ◽  
Guangran Guo ◽  
Gongming Wang ◽  
...  
Keyword(s):  
Prediction Model ◽  
Lung Adenocarcinoma ◽  
Rna Binding ◽  
Binding Protein ◽  
Rna Binding Protein ◽  
Development And Validation

scholarly journals Development and Validation of an RNA Binding Protein-associated Prognostic Model for Hepatocellular Carcinoma

2021 ◽  
Vol 000 (000) ◽  
pp. 000-000
Author(s):  
Hao Zhang ◽  
Peng Xia ◽  
Weijie Ma ◽  
Yufeng Yuan
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Model ◽  
Rna Binding ◽  
Binding Protein ◽  
Rna Binding Protein ◽  
Development And Validation

scholarly journals Development and validation of a prognostic model for kidney renal clear cell carcinoma based on RNA binding protein expression

Aging ◽  
2020 ◽  
Author(s):  
Yuzhu Xiang ◽  
Shengcai Zhou ◽  
Jian Hao ◽  
Chunhong Zhong ◽  
Qimei Ma ◽  
...  
Keyword(s):  
Protein Expression ◽  
Cell Carcinoma ◽  
Prognostic Model ◽  
Rna Binding ◽  
Clear Cell ◽  
Clear Cell Carcinoma ◽  
Binding Protein ◽  
Rna Binding Protein ◽  
Renal Clear Cell Carcinoma ◽  
Development And Validation

scholarly journals Development and Validation of an RNA-Binding Protein-Based Prognostic Model for Ovarian Serous Cystadenocarcinoma

2020 ◽  
Vol 11 ◽  
Author(s):  
Yunan He ◽  
Sen Zeng ◽  
Shunjie Hu ◽  
Fengqian Zhang ◽  
Nianchun Shan
Keyword(s):  
Prognostic Model ◽  
Rna Binding ◽  
Binding Protein ◽  
Rna Binding Protein ◽  
Serous Cystadenocarcinoma ◽  
Development And Validation

scholarly journals Predicting the Clinical Outcome of Lung Adenocarcinoma Using a Novel Gene Pair Signature Related to RNA-Binding Protein

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Liangliang Meng ◽  
Xiaoxi He ◽  
Xiao Zhang ◽  
Xiaobo Zhang ◽  
Yingtian Wei ◽  
...  
Keyword(s):  
T Cells ◽  
Lung Adenocarcinoma ◽  
Gene Pair ◽  
Prognostic Model ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Risk Group ◽  
Binding Protein ◽  
Rna Binding Protein ◽  
High Risk Group

Adenocarcinoma is the most common type of lung cancer, and patients have varying prognoses. RNA-binding proteins (RBP) are deemed to be closely associated with tumorigenesis and development, but the exact mechanism is currently unknown. This study was aimed at constructing a new robust prognostic model based on RNA-binding protein-related gene pair scores for better clinical guidance. The model for this study was constructed based on data of lung adenocarcinoma from The Cancer Genome Atlas (TCGA) database. Prognosis-related RBP gene pair models were created based on differentially expressed genes, and the accuracy of the models was verified in a different age, staging, and other subdatasets. A total of 379 RNA-binding protein-related genes were differentially expressed in tumor tissue. From these genes, we constructed a prognostic model consisting of 33 gene pairs, which were found to be significantly associated with survival in TCGA dataset ( P < 0.0001 , hazard ratio   HR = 4.380 (3.139 to 6.111)) and different subdatasets. As expected, the results were verified in the GEO validation cohort ( P = 7.8 × 10 − 3 , HR = 1.597 (1.095 to 2.325)). We found that the signature exhibited an independent prognostic factor in both the univariate and multivariate Cox regression analyses ( P < 0.001 ). CIBERSORT was applied to estimate the fractions of infiltrated immune cells in bulk tumor tissues. CD8 T cells, activated dendritic cells, regulatory T cells (Tregs), and activated CD4 memory T cells presented a significantly lower fraction in the high-risk group ( P < 0.01 ). Patients in the high-risk group had significantly higher tumor mutational burden (TMB) ( P = 4.953 e − 04 ) and lower levels of immune cells ( P = 3.473 e − 05 ) and stromal cells ( P = 0.005 ) in the tumor microenvironment than those in the low-risk group. Furthermore, the Protein-protein interaction (PPI) network and various enrichment analyses have genuinely uncovered the interrelationships and potential functions of the RBP genes within the model. The results of the present study validated the importance of RNA-binding proteins in tumorigenesis and progression and support the RBP gene-related signature as a promising marker for prognosis prediction in lung adenocarcinoma.

scholarly journals Development and validation of a RNA binding protein-associated prognostic model for head and neck squamous cell carcinoma

Aging ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 7975-7997
Author(s):  
Xiuping Yang ◽  
Baoai Han ◽  
Runshi Zhang ◽  
Yuan Su ◽  
Davood K. Hosseini ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Prognostic Model ◽  
Rna Binding ◽  
Binding Protein ◽  
Rna Binding Protein ◽  
Neck Squamous Cell Carcinoma ◽  
Development And Validation

scholarly journals Development and validation of RNA binding protein-applied prediction model for gastric cancer

Aging ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 5539-5552
Author(s):  
Shuang Dai ◽  
Yan Huang ◽  
Ting Liu ◽  
Zi-Han Xu ◽  
Tao Liu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Prediction Model ◽  
Rna Binding ◽  
Binding Protein ◽  
Rna Binding Protein ◽  
Development And Validation

scholarly journals A novel RNA binding protein-associated prognostic model to predict overall survival in hepatocellular carcinoma patients

Medicine ◽  
2021 ◽  
Vol 100 (29) ◽  
pp. e26491
Author(s):  
Ye Liu ◽  
Xiaohong Liu ◽  
Yang Gu ◽  
Haofeng Lu
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Prognostic Model ◽  
Rna Binding ◽  
Binding Protein ◽  
Rna Binding Protein
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