ArticleRNA biology2020
Competitive learning suggests circulating miRNA profiles for cancers decades prior to diagnosis.
Article in RNA biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- MicroRNAs in oncology: a translational perspective in the era of AI.Nature reviews. Clinical oncology · 2026Review
- Circulating microRNAs as Early Biomarkers of Breast Cancer: A Nested Case-Control Study Within a Prospective Cohort in Italy.International journal of molecular sciences · 2026Article
- Article
- Performance of a Logistic Regression Model Using Paired miRNAs to Stratify Abnormal Mammograms for Benign Breast Lesions.Cancer medicine · 2025Article
- A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.Cancers · 2025Review
- Cancer-specific risk prediction with a serum microRNA signature.Cancer science · 2024Article
- The Effect of MiR320a on Lung Cancer.MicroRNA (Shariqah, United Arab Emirates) · 2024Review
- Article
- Noncoding RNome as Enabling Biomarkers for Precision Health.International journal of molecular sciences · 2022Review
- Article
- Liquid biopsy approach to pancreatic cancer.World journal of gastrointestinal oncology · 2021Review
- Serum miRNA Profiling for Early PDAC Diagnosis and Prognosis: A Retrospective Study.Biomedicines · 2021Article
- Expression level of miRNA in the peripheral blood of patients with multiple myeloma and its clinical significance.American journal of translational research · 2021Article
- miR-365 (microRNA): Potential Biomarker in Oral Squamous Cell Carcinoma Exosomes and Extracellular Vesicles.International journal of molecular sciences · 2020Article
- Identification of miR-4644 as a suitable endogenous normalizer for circulating miRNA quantification in hepatocellular carcinoma.Journal of Cancer · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs are regulators of gene expressionand may be key markers in liquid biopsy.Early diagnosis is an effective means to increase patients' overall survival. We generated genome-wide miRNA profiles from serum of patients and controls from the population-based Janus Serum Bank (JSB) and analysed them by bioinformatics and artificial intelligence approaches. JSB contains sera from 318,628 originally healthy persons, more than 96,000 of whom developed cancer. We selected 210 serum samples from patients with lung, colon or breast cancer at three time points prior to diagnosis (up to 32 years prior to diagnosis with median 5 years interval between TPs), one time-point after diagnosis and from individually matched controls. The controls were matched on age and year of all pre-diagnostic sampling time-points for the corresponding case. Using ANOVA we report 70 significantly deregulated markers (adjusted p-value<0.05). The driver for the significance was the diagnostic time point (miR-575, miR-6821-5p, miR-630 with adjusted p-values<10
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