scholarly journals Prognostic Value and Biological Functions of RNA Binding Proteins in Stomach Adenocarcinoma

2021 ◽  
Vol Volume 14 ◽  
pp. 1689-1705
Author(s):  
Junqing Li ◽  
Wenjie Zhou ◽  
Jitao Wei ◽  
Xing Xiao ◽  
Tailai An ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Biological Functions ◽  
Stomach Adenocarcinoma

scholarly journals Biological functions and prognostic value of RNA Binding Proteins in clear cell Renal Cell Carcinoma

2020 ◽  
Vol 11 (22) ◽  
pp. 6591-6600 ◽  
Author(s):  
Zhenpeng Zhu ◽  
Anbang He ◽  
Lanruo Lin ◽  
Chunru Xu ◽  
Tianyu Cai ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Prognostic Value ◽  
Binding Proteins ◽  
Rna Binding ◽  
Clear Cell ◽  
Rna Binding Proteins ◽  
Biological Functions ◽  
Cell Renal Cell Carcinoma

scholarly journals The expression and prognostic value of RNA binding proteins in clear cell renal cell carcinoma

2020 ◽  
Vol 9 (12) ◽  
pp. 7415-7431
Author(s):  
Can-Xuan Li ◽  
Jie Chen ◽  
Zheng-Guang Xu ◽  
Wing-Keung Yiu ◽  
Yen-Ting Lin
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Prognostic Value ◽  
Binding Proteins ◽  
Rna Binding ◽  
Clear Cell ◽  
Rna Binding Proteins ◽  
Cell Renal Cell Carcinoma

Mammalian CELF/Bruno-like RNA-binding proteins: molecular characteristics and biological functions

Biochimie ◽  
2006 ◽  
Vol 88 (5) ◽  
pp. 515-525 ◽  
Author(s):  
Carine Barreau ◽  
Luc Paillard ◽  
Agnès Méreau ◽  
H. Beverley Osborne
Keyword(s):  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Molecular Characteristics ◽  
Biological Functions

scholarly journals Systematic analysis of the function and prognostic value of RNA binding proteins in Colon Adenocarcinoma

2021 ◽  
Vol 12 (9) ◽  
pp. 2537-2549
Author(s):  
Xuewei Qi ◽  
Zeyu Liu ◽  
Qiaoli Zhang ◽  
Ming Yang ◽  
Yuxiang Wan ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Colon Adenocarcinoma ◽  
Systematic Analysis

scholarly journals The Emerging Role of ncRNAs and RNA-Binding Proteins in Mitotic Apparatus Formation

2020 ◽  
Vol 6 (1) ◽  
pp. 13 ◽  
Author(s):  
Kei K. Ito ◽  
Koki Watanabe ◽  
Daiju Kitagawa
Keyword(s):  
Experimental Evidence ◽  
Current Literature ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Biological Functions ◽  
Mitotic Spindles ◽  
Mitotic Apparatus ◽  
Non Coding Rnas

Mounting experimental evidence shows that non-coding RNAs (ncRNAs) serve a wide variety of biological functions. Recent studies suggest that a part of ncRNAs are critically important for supporting the structure of subcellular architectures. Here, we summarize the current literature demonstrating the role of ncRNAs and RNA-binding proteins in regulating the assembly of mitotic apparatus, especially focusing on centrosomes, kinetochores, and mitotic spindles.

scholarly journals The Function and Prognostic Value of RNA-Binding Proteins in Colorectal Adenocarcinoma Were Analyzed Based on Bioinformatics of Smart Medical Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Haoran Zhao ◽  
Peng Wang ◽  
Haishi Liu ◽  
Yueyang Li ◽  
Qian Luo ◽  
...  
Keyword(s):  
Big Data ◽  
Prognostic Value ◽  
Prognostic Model ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Biological Effects ◽  
Test Group ◽  
Differentially Expressed ◽  
Medical Big Data

Colon cancer is the third most frequent cancer in the world and is mainly adenocarcinoma in terms of pathological type. It has been confirmed that the dysregulation of RNA-binding proteins (RBPs) significantly participates in the occurrence and development of numerous malignant tumors. Therefore, we analyzed the RBPs associated with colon adenocarcinoma (COAD) to assess their possible biological effects and prognostic value. A total of 398 COAD tissue datasets and 39 normal tissue datasets were retrieved from the TCGA data resource and screened out the RBPs, which are differentially expressed between tumor tissues and nontumor tissues. Then, bioinformatics analyses based on smart medical big data were conducted on these RBPs. Overall, 181 differentially expressed RBPs were uncovered, consisting of 121 upregulated RBPs and 60 downregulated RBPs. Finally, we selected 7 prognostic-related RBPs with research prospects and constructed a prognostic model according to the median risk score. There were remarkable differences in OS between the high-risk and low-risk groups. In addition, the performance of the prognostic model was evaluated and verified with other COAD patient data in the TCGA database. The results showed that the area under the ROC curve (AUC) for the train group was 0.744 and the one for the test group was 0.661, confirming that the model assesses patients’ prognosis to some extent. And based on 7 hub RBPs, we constructed a nomogram as a reference for evaluating the survival rate of COAD patients.

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