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Noncoding RNome as Enabling Biomarkers for Precision Health.
Jit Kong Cheong1,2,3, Dimple Rajgor4, Yang Lv2
1Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117597, Singapore.
Noncoding RNAs (ncRNAs) are crucial for biological processes and show promise as disease biomarkers. Overcoming challenges in standardization and validation is key to their clinical use, especially in cancer diagnostics.
Area of Science:
- Molecular Biology
- Genomics
- Biochemistry
Background:
- Noncoding RNAs (ncRNAs) play vital roles in gene regulation and cellular functions.
- Advances in technology reveal ncRNAs' importance in intracellular and circulatory systems.
- ncRNAs are increasingly explored for their potential as biomarkers in various human diseases.
Purpose of the Study:
- To review critical factors for interrogating ncRNA biomarker expression in liquid biopsies and tissues.
- To discuss strategies for overcoming challenges in adopting ncRNAs as standard clinical biomarkers.
- To highlight the potential of ncRNAs in enhancing clinical management, particularly for cancer.
Main Methods:
- Review of current literature on ncRNA biomarker research.
- Analysis of factors influencing ncRNA detection and validation in clinical samples.
- Discussion of strategies for standardization and data cross-validation.
Main Results:
- ncRNA biomarker expression analysis in liquid biopsies and tissues is crucial for disease management.
- Key challenges include sample pre-analytics standardization and data cross-validation.
- Addressing these challenges is essential for ncRNAs to become standard clinical biomarkers.
Conclusions:
- ncRNAs hold significant potential as biomarkers for enhancing clinical management of human diseases, especially cancer.
- Standardization of pre-analytics and rigorous data validation are critical for clinical utility.
- Future applications may involve AI/machine learning for analyzing the noncoding RNome (ncRNome) for precision health.
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