Evidence map›Paper›PMID 41580426›Full record

ArticleScientific reports2026

SHP2 promotes osteosarcoma via regulating STAT3/TET3/HOXB2 signaling.

Hua Yang, Jiangfeng Ji

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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. 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

2 authors.

Hua YangDepartment of Cancer Comprehensive Ward, Xingtai People's Hospital, Xingtai, 054001, China.
Jiangfeng JiDepartment of 2 of Spine, Xingtai People's Hospital, No. 818 Xiangdu North Road, Xingtai, 054001, Hebei, China. 13673192368@163.com.

Funding

The 2024 Annual Plan for Medical Science Research Projects in Hebei Province 20240585
6 · The paper itself

Abstract

To investigate the effect of SHP2 on the STAT3/TET3/HOXB2 signaling pathway in osteosarcoma, and its role in the proliferation, migration and invasion of osteosarcoma cells. First, bioinformatics analysis was used to identify relevant expressed genes. In vitro experiments, the expression levels of SHP2, p-STAT3, TET3, HOXB2, c-Myc, NANOG, NUSAP1 proteins in 143B cells and MG63 cells were detected by Western blot assay. The levels of TET3 and HOXB2 were detected by immunofluorescence double staining. Cell proliferation was detected by plate clone formation and CCK-8 assay. Cell migration was detected by scratch assay, and cell migration and invasion were detected by Transwell assay. Overexpression of SHP2 promotes osteosarcoma proliferation by upregulating STAT3, TET3 and HOXB2 proteins. VEGF activates RTK receptors and induces SHP2 autophosphorylation, which in turn activates STAT3 and enhances TET3 synthesis. TET3 then promotes HOXB2 transcription through demethylation. HOXB2 further upregulate the expression of c-Myc, NANOG and NUSAP1, ultimately driving the proliferation, migration and invasion of osteosarcoma and promoting tumor progression. This study confirmed that SHP2 promotes the proliferation, invasion and invasive ability of osteosarcoma cells by activating the STAT3/TET3/HOXB2 pathway, providing a new strategy for targeted treatment of osteosarcoma.

Indexed as

Bone NeoplasmsDioxygenasesHomeodomain ProteinsOsteosarcomaProtein Tyrosine Phosphatase, Non-Receptor Type 11Proto-Oncogene ProteinsSignal TransductionSTAT3 Transcription FactorTranscription FactorsCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansDioxygenasesHomeodomain ProteinsHOXB2 protein, humanProtein Tyrosine Phosphatase, Non-Receptor Type 11Proto-Oncogene ProteinsPTPN11 protein, humanSTAT3 protein, humanSTAT3 Transcription FactorTranscription FactorsOsteosarcomaSHP2STAT3/TET3/HOXB2

Identifiers

PMID41580426
PMCPMC12905148

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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.