Evidence map›Paper›PMID 41489907›Full record

ReviewEuropean thyroid journal2026

lncRNAs: a new generation of targets and biomarkers in thyroid cancer.

Rufina Maturi, Matteo Esposito, Rob P Coppes, Gabriella De Vita

Abstract readReview
In one paragraph

Review in European thyroid journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rufina MaturiDepartment of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy.ORCID 0009-0006-0493-3651
Matteo EspositoDepartment of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy.ORCID 0009-0000-5182-1640
Rob P CoppesDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0001-5503-1064
Gabriella De VitaDepartment of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy.ORCID 0000-0002-7302-1174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are untranslated RNA molecules that regulate gene expression through diverse mechanisms, acting as scaffolds, guides, decoys, or signals. In thyroid cancer, the most prevalent endocrine malignancy, lncRNAs are increasingly recognized as key contributors to tumor development and progression. Elucidating these molecular mechanisms is essential for advancing diagnostic, prognostic, and therapeutic strategies. This review highlights major lncRNAs implicated in thyroid cancer, categorizing them as upregulated/oncogenes or downregulated/tumor suppressors and describing their mechanisms of action and interactions. lncRNAs are typically expressed at low levels and tightly regulated to preserve normal cell behavior. In thyroid cancer, they serve as crucial regulators of oncogenesis, frequently acting as competing endogenous RNAs that influence key signaling pathways. While most studies focus on miRNA sponging, other mechanisms are underexplored. Circulating lncRNAs offer potential for non-invasive diagnostics, and several lncRNAs show promise as therapeutic targets. Thus, continued research into the diverse functions of lncRNAs is vital to fully harness their clinical potential in thyroid cancer.

Indexed as

Biomarkers, TumorRNA, Long NoncodingThyroid NeoplasmsGene Expression Regulation, NeoplasticHumansSignal TransductionBiomarkers, TumorRNA, Long NoncodingbiomarkerlncRNAtherapeutic targetthyroid cancer

Identifiers

PMID41489907
PMCPMC12820940

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.