ArticleExpert review of molecular diagnostics2014
Non-coding RNAs as clinical biomarkers for cancer diagnosis and prognosis.
Article in Expert review of molecular diagnostics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Blood-based microRNAs as biomarkers for the diagnosis of colorectal cancer: a systematic review and meta-analysis.British journal of cancer · 2017Pooled it
- A three-plasma miRNA panel predicts the risk of colorectal cancer: a community-based nested case‒control study.Scientific reports · 2023Article
- Circulating plasma microRNAs in colorectal neoplasia: A pilot study in assessing response to therapy.Translational oncology · 2021Article
- Assessment of Serum MicroRNA-21 Gene Expression for Diagnosis and Prognosis of Colorectal Cancer.Journal of gastrointestinal cancer · 2020Observational
- Dysregulation of Long Non-coding RNAs and mRNAs in Plasma of Clear Cell Renal Cell Carcinoma Patients Using Microarray and Bioinformatic Analysis.Frontiers in oncology · 2020Article
- Differential MicroRNA-Signatures in Thyroid Cancer Subtypes.Journal of oncology · 2020Review
- Genome-wide long non-coding RNAs identified a panel of novel plasma biomarkers for gastric cancer diagnosis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2019Article
- Cell Type-Selective Expression of Circular RNAs in Human Pancreatic Islets.Non-coding RNA · 2018Article
- Pattern recognition for predictive, preventive, and personalized medicine in cancer.The EPMA journal · 2017Review
- A Highly Predictive Model for Diagnosis of Colorectal Neoplasms Using Plasma MicroRNA: Improving Specificity and Sensitivity.Annals of surgery · 2016Article
- Biobanking of Exosomes in the Era of Precision Medicine: Are We There Yet?International journal of molecular sciences · 2015Review
- Identification of potential biomarkers to differentially diagnose solid pseudopapillary tumors and pancreatic malignancies via a gene regulatory network.Journal of translational medicine · 2015Article
- Circulating biomarkers for gliomas.Nature reviews. Neurology · 2015Review
- MicroRNAs as promising biomarkers in cancer diagnostics.Biomarker research · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Developing more precise diagnostics approaches to predict cancer progression and prognosis is the key to precision medicine. Overwhelming evidence now suggests that small non-coding RNAs such as miRNAs can be useful tools as biomarkers for molecular diagnostics. miRNAs can serve as biomarkers in a variety of diseases, such as neurological disorders, cardiovascular disease, Type II diabetes, cancer and so on. miRNAs can not only be utilized for monitoring treatment but also for patient stratification and hence are promising predictive biomarkers in cancer progression and prognosis, as well as in predicting drug response. This article focuses on some of the recent findings in the field of miRNA biomarkers and discusses its implications for cancer diagnostics and precision medicine.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.