Evidence map›Paper›PMID 24376829›Full record

ArticlePloS one2013

Follicular adenomas exhibit a unique metabolic profile. ¹H NMR studies of thyroid lesions.

Stanisław Deja, Tomasz Dawiskiba, Waldemar Balcerzak, Magdalena Orczyk-Pawiłowicz, Mateusz Głód, Dorota Pawełka, Piotr Młynarz

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  15. Myoinositol in Autoimmune Thyroiditis.Frontiers in endocrinology · 2022
    Review
  16. Article
  17. Article
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  20. The Potential of Metabolomics in the Diagnosis of Thyroid Cancer.International journal of molecular sciences · 2020
    Review
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

7 authors at 3 institutions in 1 country.

Stanisław DejaFaculty of Chemistry, Opole University, Opole, Poland.
Tomasz DawiskibaDepartment of Vascular, General and Transplantation Surgery, Wrocław Medical University, Wrocław, Poland.
Waldemar BalcerzakFirst Department and Clinic of General, Gastroenterological and Endocrinological Surgery, Wroclaw Medical University, Wrocław, Poland.
Magdalena Orczyk-PawiłowiczDepartment of Chemistry and Immunochemistry, Wroclaw Medical University, Wrocław, Poland.
Mateusz GłódFirst Department and Clinic of General, Gastroenterological and Endocrinological Surgery, Wroclaw Medical University, Wrocław, Poland.
Dorota PawełkaFirst Department and Clinic of General, Gastroenterological and Endocrinological Surgery, Wroclaw Medical University, Wrocław, Poland.
Piotr MłynarzDepartment of Bioorganic Chemistry Wrocław University of Technology, Wrocław, Poland.
Wroclaw Medical University · PLUniversity of Opole · PLWrocław University of Science and Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid cancer is the most common endocrine malignancy. However, more than 90% of thyroid nodules are benign. It remains unclear whether thyroid carcinoma arises from preexisting benign nodules. Metabolomics can provide valuable and comprehensive information about low molecular weight compounds present in living systems and further our understanding of the biology regulating pathological processes. Herein, we applied ¹H NMR-based metabolic profiling to identify the metabolites present in aqueous tissue extracts of healthy thyroid tissue (H), non-neoplastic nodules (NN), follicular adenomas (FA) and malignant thyroid cancer (TC) as an alternative way of investigating cancer lesions. Multivariate statistical methods provided clear discrimination not only between healthy thyroid tissue and pathological thyroid tissue but also between different types of thyroid lesions. Potential biomarkers common to all thyroid lesions were identified, namely, alanine, methionine, acetone, glutamate, glycine, lactate, tyrosine, phenylalanine and hypoxanthine. Metabolic changes in thyroid cancer were mainly related to osmotic regulators (taurine and scyllo- and myo-inositol), citrate, and amino acids supplying the TCA cycle. Thyroid follicular adenomas were found to display metabolic features of benign non-neoplastic nodules and simultaneously displayed a partial metabolic profile associated with malignancy. This finding allows the discrimination of follicular adenomas from benign non-neoplastic nodules and thyroid cancer with similar accuracy. Moreover, the presented data indicate that follicular adenoma could be an individual stage of thyroid cancer development.

Indexed as

AdenomaBiomarkers, TumorHumansMagnetic Resonance SpectroscopyMetabolomicsMultivariate AnalysisThyroid NeoplasmsBiomarkers, Tumor

Identifiers

PMID24376829
PMCPMC3871661
OpenAlexW2001977830

What OpenQuestion 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 OpenQuestion graph.