Evidence map›Paper›PMID 41367010›Full record

ArticleMedicine2025

Investigating the prognostic potential of PTPN11 gene in papillary thyroid carcinoma: A comprehensive study of bulk and single cell transcriptome.

Huiling Wang, Mian Lv, Yonghong Huang, Xiaoming Pan, Changqiang Xu, Chunyu Chen, Wuyu Tan, Huaye Lao, Minghui Qin, Hui Zhang and 2 more

Abstract read
In one paragraph

Article in Medicine, 2025. 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
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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

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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

12 authors.

Huiling WangDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.ORCID 0000-0001-7033-2965
Mian LvDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.
Yonghong HuangDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.
Xiaoming PanDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.
Changqiang XuDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.
Chunyu ChenDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.
Wuyu TanDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.
Huaye LaoDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.
Minghui QinDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.
Hui ZhangDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.
Guixuan NongDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.
Yinling WangDepartment of Breast and Thyroid Surgery, The Second Nanning People's Hospital, Nanning, Guangxi, PR China.

Funding

the Self-funded scientific research project of the Health Commission of Guangxi Zhuang Autonomous Region Z-A20241025
6 · The paper itself

Abstract

PTPN11 is closely associated with cancer progression. This study aimed to explore its prognostic potential in papillary thyroid carcinoma (PTC) and identify additional PTPN11-related prognostic genes, thereby providing novel insights for PTC treatment. Bulk and single-cell transcriptomic data from public databases were utilized to perform pan-cancer analysis for mining the oncogenic potential of PTPN11, accompanied by functional enrichment, immune infiltration, and drug molecular docking analyses. Univariate Cox regression and least absolute shrinkage and selection operator analyses were employed to screen prognostic genes and construct a risk model. Finally, single-cell level analysis was conducted to identify PTPN11-related key cells and their communication patterns. Pan-cancer analysis revealed that PTPN11 expression levels (high vs low) were significantly correlated with survival differences in PTC and other cancers (P < .05). PTPN11 was enriched in the ribosome and oxidative phosphorylation pathways and negatively correlated with CD56 bright natural killer cells (cor = -0.35, P < .05). It exhibited strong binding affinities with VX-11e, irinotecan, and dactinomycin. Eight prognostic genes (ATP2C2, OPRK1, CLSTN2, AGRP, MMP8, B3GNT4, KCNMB2, and DACT2) were screened out, and a robust risk model was established. Endothelial cells were identified as key cells; the occurrence of PTC reduced their quantity and affected the frequency/intensity of their interactions with mast cells. In conclusion, PTPN11 holds promise as a prognostic marker for PTC and is of great value for clinical management.

Indexed as

Protein Tyrosine Phosphatase, Non-Receptor Type 11Thyroid Cancer, PapillaryThyroid NeoplasmsBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMolecular Docking SimulationPrognosisSingle-Cell AnalysisTranscriptomeBiomarkers, TumorProtein Tyrosine Phosphatase, Non-Receptor Type 11PTPN11 protein, humanpan-cancerpapillary thyroid carcinomaprognostic risk modelsingle-cell transcriptome

Identifiers

PMID41367010
PMCPMC12688921

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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.