Evidence map›Paper›PMID 41041104›Full record

ReviewCureus2025

Lipidomic Profiling: A Promising New Direction in the Diagnosis and Management of Thyroid Cancer?

Valentin Daniealopol, Ruxandra Daniealopol, Tatiana Daniela Sala, Radu Neagoe

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Valentin DaniealopolSurgery, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, Targu Mures, ROU.
Ruxandra DaniealopolSurgery, Emergency Clinical County Hospital Targu Mures, Targu Mures, ROU.
Tatiana Daniela SalaSurgery, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, Targu Mures, ROU.
Radu Neagoe2nd Department of Surgery, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, Targu Mures, ROU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid carcinoma (TC) is the most common endocrine malignancy worldwide, with an ongoing rise in its incidence. Despite improved diagnostic and therapeutic methods, distinguishing between benign and malignant nodules and predicting disease aggressiveness remains challenging. Lipidomics is a comprehensive approach to lipid profiling that is able to provide new insights into thyroid cancer biology. We conducted a methodical literature search for studies that looked into lipid metabolism alterations in the biofluids and tissue samples of TC patients and investigated the potential of the lipidomic fingerprint as a diagnostic or therapeutic target. Studies not employing lipidomic techniques, those using animal models, or focusing on other cancer types were excluded. The reviewed studies consistently revealed significant alterations in various lipid classes, including fatty acids (FA), phospholipids (PL), and sphingolipids (SL) across different sample types (serum, plasma, urine, and tissue) from TC patients compared to benign or healthy controls. Clinically, these findings provide a foundation for more accurate, non-invasive diagnostic tools and for classifying disease subtypes based on lipidomic signatures. For instance, modified glycerophospholipid (GPL) and SL species were observed in the plasma of thyroid cancer patients, and enhanced FA metabolism was correlated with tumor aggressiveness and poor prognosis. Lipidomics is a rapidly evolving field with tremendous potential for improving the clinical management of differentiated TC patients, from diagnosis to therapeutic intervention. The consistent identification of modified lipid profiles highlights their essential role in the metabolic reprogramming associated with tumorigenesis and also their importance as reliable clinical biomarkers. In order to implement routine clinical use of lipidomics, further large-scale validation studies are needed, along with standardized lipidomic protocols, to ensure reproducibility.

Indexed as

biomarkersdifferentiated thyroid carcinomalipidomicslipid profilethyroid cancer

Identifiers

PMID41041104
PMCPMC12483833

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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.