ArticlePloS one2015
Circulating miR-25-3p and miR-451a May Be Potential Biomarkers for the Diagnosis of Papillary Thyroid Carcinoma.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 42 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.
- A meta-analysis of circulating microRNAs in the diagnosis of papillary thyroid carcinoma.PloS one · 2021Pooled it
- Candidate microRNAs as biomarkers of thyroid carcinoma: a systematic review, meta-analysis, and experimental validation.Cancer medicine · 2016Pooled it
- Circulating microRNAs and Clinicopathological Findings of Papillary Thyroid Cancer: A Systematic Review.In vivo (Athens, Greece)Pooled it
- Emerging liquid biopsy markers in thyroid cancer: from isolation technologies to clinical translation.Frontiers in endocrinology · 2026Review
- MiR-451a targets mex-3 RNA binding family member C to regulate human hepatoblastoma G2 cell growth and metastasis.World journal of clinical oncology · 2025Article
- Circulating Biomarkers of Thyroid Cancer: An Appraisal.Journal of clinical medicine · 2025Review
- The role of genetic and epigenetic modifications as potential biomarkers in the diagnosis and prognosis of thyroid cancer.Frontiers in oncology · 2024Review
- From sequencing to validation: NGS-based exploration of plasma miRNA in papillary thyroid carcinoma.Frontiers in oncology · 2024Article
- Regulatory and Interacting Partners of PDLIM7 in Thyroid Cancer.Current oncology (Toronto, Ont.) · 2023Article
- New biomarkers: prospect for diagnosis and monitoring of thyroid disease.Frontiers in endocrinology · 2023Review
- Genetic signature of differentiated thyroid carcinoma susceptibility: a machine learning approach.European thyroid journal · 2022Article
- Curcumin Inhibits Papillary Thyroid Cancer Cell Proliferation by Regulating lncRNA LINC00691.Analytical cellular pathology (Amsterdam) · 2022Article
- The Importance of miRNA in the Diagnosis and Prognosis of Papillary Thyroid Cancer.Journal of clinical medicine · 2021Review
- Differential Expression of Non-Coding RNA Signatures in Thyroid Cancer between Two Ethnic Groups.Current oncology (Toronto, Ont.) · 2021Article
- Review
- MicroRNA-451a plays a role in polycystic ovary syndrome by regulating ovarian granulosa cell proliferation and apoptosis.Experimental and therapeutic medicine · 2021Article
- Identification of Urinary Exosomal miRNAs for the Non-Invasive Diagnosis of Prostate Cancer.Cancer management and research · 2021Article
- MicroRNAs in Papillary Thyroid Cancer: What Is New in Diagnosis and Treatment.Frontiers in oncology · 2021Review
- Inflammatory Components of the Thyroid Cancer Microenvironment: An Avenue for Identification of Novel Biomarkers.Advances in experimental medicine and biology · 2021Article
- MiRNAs as Noninvasive Biomarkers and Therapeutic Agents of Pituitary Adenomas.International journal of molecular sciences · 2020Review
Corrections and comments
- Erratum issuedCorrection: Circulating miR-25-3p and miR-451a May Be Potential Biomarkers for the Diagnosis of Papillary Thyroid Carcinoma.2015 · Song, Qinbin [corrected to Song, Qingbin]
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThere is no effective and reliable biomarker to distinguish benign thyroid nodules from papillary thyroid carcinomas (PTC). This study aimed at examining the levels of plasma miRNAs in patients with PTC or benign nodules to explore the potential miRNA biomarkers for PTC. PATIENTS AND
methodsGenome-wide plasma miRNA expression profiles were determined by the miRNA Microarray and the significantly higher levels of miRNAs were validated in plasma and tissues by quantitative RT-PCR. The levels of two miRNAs were further tested in seven patients before and after tumor excision and the potential values for the diagnosis of PTC were evaluated by receiver operating characteristic curve (ROC).
resultsIn comparison with that in the patients with benign nodules, eight significantly higher and three lower levels of plasma miRNAs were detected in the PTC patients. Further validation indicated that the levels of plasma miR-25-3p, miR-451a, miR-140-3p and let-7i were significantly higher in the PTC cases than in those with benign nodules or the healthy controls. Significantly higher levels of miR-25-3p and miR-451a were detected in the thyroid tissues from the PTC patients. The levels of plasma miR-25-3p and miR-451a in seven patients significantly decreased after tumor excision. ROC analyses revealed that the levels of plasma miR-25-3p at cut-off 1.41 and miR-451a at 1.38 had sensitivity of 92.8% and 88.9%, and specificity of 68.8% and 66.7% for distinguishing PTC from benign nodules, respectively.
conclusionOur findings suggest that the levels of plasma miR-25-3p and miR-451a may be valuable for the diagnosis of PTC.
Indexed as
Identifiers
What OpenQuestion holds
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.