Abstract
Lung cancer continues to be the leading topic concerning global mortality rate caused by cancer; it needs to be further investigated to reduce these dramatic unfavorable statistic data. Noncoding RNAs (ncRNAs) have been shown to be important cellular regulatory factors and the alteration of their expression levels has become correlated to extensive number of pathologies. Specifically, their expression profiles are correlated with development and progression of lung cancer, generating great interest for further investigation. This review focuses on the complex role of non-coding RNAs, namely miRNAs, piwi-interacting RNAs, small nucleolar RNAs, long non-coding RNAs and circular RNAs in the process of developing novel biomarkers for diagnostic and prognostic factors that can then be utilized for personalized therapies toward this devastating disease. To support the concept of personalized medicine, we will focus on the roles of miRNAs in lung cancer tumorigenesis, their use as diagnostic and prognostic biomarkers and their application for patient therapy.
Keywords: ncRNAs, Lung cancer, Piwi-interacting RNA, Small nucleolar RNA, Long non-coding RNA, Circular RNA, RNA biomarkers.
Current Genomics
Title:Decoding the Emerging Patterns Exhibited in Non-coding RNAs Characteristic of Lung Cancer with Regard to Their Clinical Significance
Volume: 19 Issue: 4
Author(s): Laura Sonea, Mihail Buse, Diana Gulei, Anca Onaciu, Ioan Simon, Cornelia Braicu*Ioana Berindan-Neagoe*
Affiliation:
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca,Romania
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca,Romania
Keywords: ncRNAs, Lung cancer, Piwi-interacting RNA, Small nucleolar RNA, Long non-coding RNA, Circular RNA, RNA biomarkers.
Abstract: Lung cancer continues to be the leading topic concerning global mortality rate caused by cancer; it needs to be further investigated to reduce these dramatic unfavorable statistic data. Noncoding RNAs (ncRNAs) have been shown to be important cellular regulatory factors and the alteration of their expression levels has become correlated to extensive number of pathologies. Specifically, their expression profiles are correlated with development and progression of lung cancer, generating great interest for further investigation. This review focuses on the complex role of non-coding RNAs, namely miRNAs, piwi-interacting RNAs, small nucleolar RNAs, long non-coding RNAs and circular RNAs in the process of developing novel biomarkers for diagnostic and prognostic factors that can then be utilized for personalized therapies toward this devastating disease. To support the concept of personalized medicine, we will focus on the roles of miRNAs in lung cancer tumorigenesis, their use as diagnostic and prognostic biomarkers and their application for patient therapy.
Export Options
About this article
Cite this article as:
Sonea Laura , Buse Mihail , Gulei Diana , Onaciu Anca , Simon Ioan , Braicu Cornelia *, Berindan-Neagoe Ioana *, Decoding the Emerging Patterns Exhibited in Non-coding RNAs Characteristic of Lung Cancer with Regard to Their Clinical Significance, Current Genomics 2018; 19 (4) . https://dx.doi.org/10.2174/1389202918666171005100124
DOI https://dx.doi.org/10.2174/1389202918666171005100124 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
Call for Papers in Thematic Issues
Advanced AI Techniques in Big Genomic Data Analysis
The thematic issue on "Advanced AI Techniques in Big Genomic Data Analysis" aims to explore the cutting-edge methodologies and applications of artificial intelligence (AI) in the realm of genomic research, where vast amounts of data pose both challenges and opportunities. This issue will cover a broad spectrum of AI-driven strategies, ...read more
Current Genomics in Cardiovascular Research
Cardiovascular diseases are the main cause of death in the world, in recent years we have had important advances in the interaction between cardiovascular disease and genomics. In this Research Topic, we intend for researchers to present their results with a focus on basic, translational and clinical investigations associated with ...read more
Deep learning in Single Cell Analysis
The field of biology is undergoing a revolution in our ability to study individual cells at the molecular level, and to integrate data from multiple sources and modalities. This has been made possible by advances in technologies for single-cell sequencing, multi-omics profiling, spatial transcriptomics, and high-throughput imaging, as well as ...read more
Genomic Insights into Oncology: Harnessing Machine Learning for Breakthroughs in Cancer Genomics.
This special issue aims to explore the cutting-edge intersection of genomics and oncology, with a strong emphasis on original data and experimental validation. While maintaining the focus on how machine learning and advanced data analysis techniques are revolutionizing our understanding and treatment of cancer, this issue will prioritize contributions that ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Impact of <sup>68</sup>Ga-PSMA PET/CT on Survival and Management in Prostate Cancer
Current Medical Imaging In Vivo Models of Childhood Leukemia for Preclinical Drug Testing
Current Drug Targets Role of Monitoring Thiopurine Methyltransferase (TPMT) Activity in the Individualized Therapy with Azathioprine or 6-Mercaptopurine
Current Pharmacogenomics and Personalized Medicine Synthesis of Xanthones and Benzophenones as Inhibitors of Tumor Cell Growth
Letters in Drug Design & Discovery Red Blood Cell-Encapsulated L-Asparaginase: Potential Therapy of Patients with Asparagine Synthetase Deficient Acute Myeloid Leukemia
Protein & Peptide Letters Phosphatidylinositol 3-Kinase Isoforms as Novel Drug Targets
Current Drug Targets Biochemical Markers of Autoimmune Diseases of the Nervous System
Current Pharmaceutical Design Psychological Sequelae of Ovarian Cancer Screening and Genetic Testing for Ovarian Cancer Susceptibility
Current Women`s Health Reviews A Virtual Screening Approach for the Identification of High Affinity Small Molecules Targeting BCR-ABL1 Inhibitors for the Treatment of Chronic Myeloid Leukemia
Current Topics in Medicinal Chemistry Targeted Therapy of Breast Cancer
Current Pharmaceutical Design Translocator Protein (TSPO) in Breast Cancer
Current Molecular Medicine Targeting Protein-Protein Interaction with Covalent Small-Molecule Inhibitors
Current Topics in Medicinal Chemistry CYP17 Inhibitors for Prostate Cancer Treatment – An Update
Current Medicinal Chemistry Preface
Current Protein & Peptide Science Molecular Mechanisms of Biological Activity of Oleanolic Acid - A Source of Inspiration for A New Drugs Design
Mini-Reviews in Organic Chemistry Driving Neural Stem Cells Towards a Desired Phenotype
Current Stem Cell Research & Therapy Lifestyle Interventions for Cardiovascular Risk Reduction in Women with Breast Cancer
Current Cardiology Reviews Synthesis and Biological Evaluation of Novel 1,3,4-thiadiazole Derivatives Incorporating Benzisoselenazolone Scaffold as Potential Antitumor Agents
Medicinal Chemistry Molecular Targeting of Lymphatics for Therapy
Current Pharmaceutical Design Risk Assessment of Esophageal Cancer Prevalence in North East India
Current Cancer Therapy Reviews