Evidence map›Paper›PMID 42193020›Full record

ArticleCancers2026

Molecular Testing in Indeterminate Thyroid Nodules: Genomic Landscape, Diagnostic Performance, and Integrated Risk-Stratified Management.

Sayaka Tanaka, Naomi Kitayama, Kyouko Kawamoto, Tomoko Wakasa, Yanhua Bai, Kennichi Kakudo

Abstract readComment
In one paragraph

Article in Cancers, 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

6 authors.

Sayaka TanakaDepartment of Legal Medicine, Graduate School of Medicine, Osaka University, Suita 565-0871, Japan.
Naomi KitayamaDepartment of Dermatology, Faculty of Medicine, Kindai University, Sakai 590-0197, Japan.
Kyouko KawamotoDepartment of Pathology, Kindai University Nara Hospital, Ikoma 630-0293, Japan.
Tomoko WakasaDepartment of Pathology, Kindai University Nara Hospital, Ikoma 630-0293, Japan.ORCID 0000-0002-3328-5677
Yanhua BaiDepartment of Pathology, Peking University Cancer Hospital, Beijing 100142, China.ORCID 0000-0002-7634-282X
Kennichi KakudoDepartment of Pathology, Kindai University Nara Hospital, Ikoma 630-0293, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular testing has become an increasingly important adjunct in the evaluation of cytologically indeterminate thyroid nodules. These tests analyze genetic alterations associated with thyroid tumorigenesis, including point mutations, gene fusions, and gene expression profiles, with the aim of refining preoperative risk assessment and reducing unnecessary diagnostic surgery. Despite these advances, the clinical utility of molecular testing remains highly dependent on the context in which results are interpreted. Molecular alterations do not consistently correlate with tumor aggressiveness, and several mutations are observed in both benign and malignant thyroid lesions. In addition, the predictive performance of molecular tests is strongly influenced by the baseline prevalence of malignancy, which varies across clinical settings and is shaped by diagnostic thresholds and patient selection. This commentary summarizes the molecular landscape of thyroid tumors, the diagnostic performance of current molecular testing platforms, and their role in clinical decision-making. Emphasis is placed on the interpretation of molecular findings within a broader diagnostic framework that incorporates cytologic morphology, ultrasound-based risk stratification, and clinical context. A selective, risk-adapted approach to molecular testing may provide the most effective strategy for optimizing patient management while minimizing unnecessary intervention.

Indexed as

indeterminate nodulelow-risk neoplasmmolecular testingproteomicsrisk stratificationthyroid cancerthyroid cytologytumor biology

Identifiers

PMID42193020
PMCPMC13205113

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Registered trials

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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.