Evidence map›Paper›PMID 36418670›Full record

ArticleJournal of endocrinological investigation2023

Identification of potential diagnostic and prognostic biomarkers for papillary thyroid microcarcinoma (PTMC) based on TMT-labeled LC-MS/MS and machine learning.

J Li, L Mi, B Ran, C Sui, L Zhou, F Li, G Dionigi, H Sun, N Liang

Abstract read
In one paragraph

Article in Journal of endocrinological investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Reprogramming of fatty acid metabolism in thyroid cancer: Potential targets and mechanisms.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Role of Lipid Metabolism Disorders in the Development of Thyroid Cancer.International journal of molecular sciences · 2024
    Review
  9. Review
  10. 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

9 authors.

J LiDivision of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China.
L MiDivision of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China.
B RanDivision of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China.
C SuiDivision of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China.
L ZhouDivision of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China.
F LiDivision of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China.
G DionigiDivision of General and Endocrine Surgery, Department of Medical Biotechnology and Translational Medicine, Istituto Auxologico Italiano IRCCS, University of Milan, Milan, Italy.
H SunDivision of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China. s_h@jlu.edu.cn.ORCID http://orcid.org/0000-0001-8348-4933
N LiangDivision of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China. liangnan2006@jlu.edu.cn.ORCID http://orcid.org/0000-0002-7733-862X

Funding

Department of Finance of Jilin Province 2020SCZ32Department of Finance of Jilin Province 2021SCZ23Jilin Scientific and Technological Development Program 20210402011GHJilin Scientific and Technological Development Program YDZJ202201ZYTS112Jilin University Bethune Project 2020B14National Nature Science Foundation of China 81972499
6 · The paper itself

Abstract

objectivesTo explore the molecular mechanisms underlying aggressive progression of papillary thyroid microcarcinoma and identify potential biomarkers.

methodsSamples were collected and sequenced using tandem mass tag-labeled liquid chromatography-tandem mass spectrometry. Differentially expressed proteins (DEPs) were identified and further analyzed using Mfuzz and protein-protein interaction analysis (PPI). Parallel reaction monitoring (PRM) and immunohistochemistry (IHC) were performed to validate the DEPs.

resultsFive thousand, two hundred and three DEPs were identified and quantified from the tumor/normal comparison group or the N1/N0 comparison group. Mfuzz analysis showed that clusters of DEPs were enriched according to progressive status, followed by normal tissue, tumors without lymphatic metastases, and tumors with lymphatic metastases. Analysis of PPI revealed that DEPs interacted with and were enriched in the following metabolic pathways: apoptosis, tricarboxylic acid cycle, PI3K-Akt pathway, cholesterol metabolism, pyruvate metabolism, and thyroid hormone synthesis. In addition, 18 of the 20 target proteins were successfully validated with PRM and IHC in another 20 paired validation samples. Based on machine learning, the five proteins that showed the best performance in discriminating between tumor and normal nodules were PDLIM4, ANXA1, PKM, NPC2, and LMNA. FN1 performed well in discriminating between patients with lymph node metastases (N1) and N0 with an AUC of 0.690. Finally, five validated DEPs showed a potential prognostic role after examining The Cancer Genome Atlas database: FN1, IDH2, VDAC1, FABP4, and TG. Accordingly, a nomogram was constructed whose concordance index was 0.685 (confidence interval: 0.645-0.726).

conclusionsPDLIM4, ANXA1, PKM, NPC2, LMNA, and FN1 are potential diagnostic biomarkers. The five-protein nomogram could be a prognostic biomarker.

Indexed as

Phosphatidylinositol 3-KinasesThyroid NeoplasmsCarcinoma, PapillaryChromatography, LiquidHumansLymphatic MetastasisMachine LearningPrognosisTandem Mass SpectrometryPhosphatidylinositol 3-KinasesLymph node metastasisMachine learningNomogramPRMProteomicsTCGA databaseThyroid cancer

Identifiers

PMID36418670
PMCPMC10185636

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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.