SynthesisEndocrine2025
A systematic review of emerging RNA markers in thyroid fine needle aspiration cytology samples: advancements and challenges.
Synthesis in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Integrating miRNA profiling and machine learning for improved thyroid cancer diagnosis.Frontiers in oncology · 2026Article
- Integrating Robotic Bilateral Axillo-Breast Approach Thyroidectomy with Molecular Diagnostics and Artificial Intelligence in Thyroid Cancer Care.Biomolecules & therapeutics · 2026Review
- Precision Thyroid Oncology: A Review of Multi-Omics Biomarkers and Spatiotemporal Technologies.International journal of general medicine · 2026Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSignificant advances have been made in detecting RNA markers that may indicate malignancy in fine needle aspiration cytology (FNAC) samples.
objectiveTo review the roles of protein-coding and non-coding RNAs in differentiating between malignant and benign thyroid nodules.
methodsA comprehensive literature search using PubMed, Science Direct, Web of Science, and SCOPUS databases was performed. We searched up until September 2024 and complemented by manual citation search.
resultsA total of 28 full-text articles were reviewed, encompassing 5770 FNAC samples, which included 3489 benign lesions and 2281 malignant lesions. The studies identified 43 messenger RNAs (mRNAs), 16 microRNAs (miRNAs), and 3 long non-coding RNAs (lncRNAs) that have the potential to distinguish malignant nodules. Among the mRNAs, PAPPA, TIMP1, and HMGA2, as well as the miRNAs, miR-146b, miR-375 and miR-222, appear to be the most promising molecules for diagnosis.
conclusionNumerous RNA markers have been shown to differentiate malignant from benign lesions. However, there is still a lack of patient-specific classification for thyroid cancer subtypes. Additionally, future studies should prioritize using a combination of molecular markers rather than relying on individual ones. Although current research mainly focuses on identifying cancer-specific molecules, it is important for future studies to shift towards a more patient-specific approach.
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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 Socratic graph.