Conceptual Breakthrough of Noncoding RNAs in Biomedicine

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Gene and Cell Therapy".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 1786

Special Issue Editor

Feinstone Center for Genomic Research, The University of Memphis, Memphis, TN, USA
Interests: computational biology; big data; AI

Special Issue Information

Dear Colleagues,

This Special Issue aims to collect high-quality papers addressing the concept of the noncoding RNA (ncRNA) functional system and its role in biomedicine. The conventional understanding of ncRNA functions is largely derived from protein-driven systems derived from organisms with limited noncoding regions, such as E. coli and yeast. However, the human genome carries more than 98% noncoding regions that are almost all actively transcribed, which makes the human genome distinct from that of yeast. Recent big data studies revealed that ncRNAs possess a unique functional system distinctive from the protein-based system, and proteins only work in the normal physiological state, whereas ncRNAs play much broader, critical roles than originally thought when coping with a wide array of abnormal physiological states such as cancers. The protein-based concept of ncRNA function is inappropriate for understanding their roles in biomedicine. New breakthrough concepts have become critical in advancing our understanding of ncRNA functions. This Special Issue welcomes any type of study covering this conceptual breakthrough, such as mathematical models, physical models and laws, computational algorithms, data analyses, and biological evidence. This collection will eventually become a leading platform for uncovering the fundamental principles of ncRNAs.

Dr. Anyou Wang
Guest Editor

Manuscript Submission Information

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Keywords

  • noncoding RNA
  • cancer
  • breakthrough
  • concept
  • big data
  • function

Published Papers (1 paper)

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Research

13 pages, 1846 KiB  
Article
Exosomal MicroRNA Levels Associated with Immune Checkpoint Inhibitor Therapy in Clear Cell Renal Cell Carcinoma
by Elizaveta Ivanova, Dilara Asadullina, Gulshat Gilyazova, Radmir Rakhimov, Adel Izmailov, Valentin Pavlov, Elza Khusnutdinova and Irina Gilyazova
Biomedicines 2023, 11(3), 801; https://doi.org/10.3390/biomedicines11030801 - 06 Mar 2023
Cited by 4 | Viewed by 1358
Abstract
Immunotherapy with immune checkpoint inhibitors (ICIs) has shown high efficiency in clear cell renal cell carcinoma (ccRCC) treatment. However, the response to therapy among patients varies greatly. Modern studies demonstrate the high potential of exosomal miRNAs as diagnostic and prognostic markers in oncopathology. [...] Read more.
Immunotherapy with immune checkpoint inhibitors (ICIs) has shown high efficiency in clear cell renal cell carcinoma (ccRCC) treatment. However, the response to therapy among patients varies greatly. Modern studies demonstrate the high potential of exosomal miRNAs as diagnostic and prognostic markers in oncopathology. This study aimed to evaluate exosomal miRNA expression profiles of miRNAs-144, -146a, -149, -126, and -155 in patients with clear cell renal cell carcinoma treated with immune checkpoint inhibitors. The study included 35 patients whose venous blood samples were taken before and after ICI therapy. Expression analysis was performed using real-time quantitative PCR. It was demonstrated that the level of microRNA-146a increased after therapy (median(IQR) 12.92(4.06–18.90)) compared with the level before it (median(IQR) 7.15(1.90–10.50); p-value = 0.006). On the contrary, microRNA-126 was reduced after therapy with immune checkpoint inhibitors (median(IQR) 0.85(0.55–1.03) vs. 0.48(0.15–0.68) before and after therapy, respectively; p-value = 0.0001). In addition, miRNA-146a expression was shown to be reduced in patients with a higher grade of immune-related adverse events (p-value = 0.020). The AUC value for the miRNA-146a and miRNA-126 combination was 0.752 (95% CI 0.585–0.918), with the sensitivity at 64.3% and the specificity at 78.9%. Thus, while it can be assumed that miRNA-146a and miRNA-126 can be used as predictors for ICI therapy effectiveness, additional in-depth studies are required. Full article
(This article belongs to the Special Issue Conceptual Breakthrough of Noncoding RNAs in Biomedicine)
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