Since various RNA molecules are able to serve as biomarkers for human disease, the feasibility of applying it in clinical trials was relatively low. Clinical reproducibility has been endangered by homogeneous sample types and single-center studies, and such studies have failed to produce reliable and reproducible RNA biomarkers. It is common to detect abnormally high levels of biomarkers in biopsies from patients with certain diseases, however the invasive procedure of obtaining tissue samples limits the application of RNA biomarker studies. Clinicians prefer the smaller molecular biomarkers such as plasma, oral, urinal, or fecal from a patient for disease diagnosis and prognosis. Thus, there is a great deal of effort put into discovering clinical feasible RNA biomarkers for human diseases in diagnosis, treatment, and prognostics.
The objective of this Research Topic is to focus on the latest advances in applying and developing various RNA molecules, such as mRNA, miRNA, piRNA, tsRNA, and siRNA, to serve as biomarkers for human disease. Moreover, we encourage researchers to use real clinical trial data to explore the mechanisms of significant RNA biomarkers. Researchers are encouraged to develop efficient methods and tools aimed at understanding complex diseases.
We welcome submissions of original research papers, clinical trial, reviews, and methods original research submissions covering the following subtopics but are not limited to:
1.Reliable and reproducible RNA biomarkers, i.e., Obtain the same results in training and independent validation study;
2.Multi-cohort or a large sample size study in disease early detection, diagnostics, prognostics, and treatment;
3.Statistical models and algorithms to increase reproducibility (including machine learning, and deep learning), and developed software tools/databases
Since various RNA molecules are able to serve as biomarkers for human disease, the feasibility of applying it in clinical trials was relatively low. Clinical reproducibility has been endangered by homogeneous sample types and single-center studies, and such studies have failed to produce reliable and reproducible RNA biomarkers. It is common to detect abnormally high levels of biomarkers in biopsies from patients with certain diseases, however the invasive procedure of obtaining tissue samples limits the application of RNA biomarker studies. Clinicians prefer the smaller molecular biomarkers such as plasma, oral, urinal, or fecal from a patient for disease diagnosis and prognosis. Thus, there is a great deal of effort put into discovering clinical feasible RNA biomarkers for human diseases in diagnosis, treatment, and prognostics.
The objective of this Research Topic is to focus on the latest advances in applying and developing various RNA molecules, such as mRNA, miRNA, piRNA, tsRNA, and siRNA, to serve as biomarkers for human disease. Moreover, we encourage researchers to use real clinical trial data to explore the mechanisms of significant RNA biomarkers. Researchers are encouraged to develop efficient methods and tools aimed at understanding complex diseases.
We welcome submissions of original research papers, clinical trial, reviews, and methods original research submissions covering the following subtopics but are not limited to:
1.Reliable and reproducible RNA biomarkers, i.e., Obtain the same results in training and independent validation study;
2.Multi-cohort or a large sample size study in disease early detection, diagnostics, prognostics, and treatment;
3.Statistical models and algorithms to increase reproducibility (including machine learning, and deep learning), and developed software tools/databases
