Evidence map›Paper›PMID 42211757›Full record

ArticleHuman mutation2026

Single-Cell Transcriptomic Analysis Suggests That JUN May Regulate BAMBI to Promote Osteosarcoma Cell Migration and Invasion.

Ning Song, Qiang Zhang, Junwei Du, Renbing Jiang

Abstract read
In one paragraph

Article in Human mutation, 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

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2 · The registry

The trial behind it

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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.

Ning SongDepartment of Bone and Soft Tissue Tumor and Melanoma, Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.ORCID https://orcid.org/0009-0009-6036-8513
Qiang ZhangDepartment of Bone and Soft Tissue Tumor and Melanoma, Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.ORCID https://orcid.org/0000-0002-4032-8604
Junwei DuDepartment of Bone and Soft Tissue Tumor and Melanoma, Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.ORCID https://orcid.org/0000-0002-8967-8461
Renbing JiangDepartment of Bone and Soft Tissue Tumor and Melanoma, Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.ORCID https://orcid.org/0009-0002-6453-2287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Distant metastasis of osteosarcoma (OS) is one of the major factors contributing to poor patient prognosis, and its underlying mechanisms remain incompletely understood. In this study, we employed single-cell RNA sequencing (scRNA-seq) to assess intratumoral heterogeneity and identify immune diagnostic and therapeutic markers, providing novel insights to guide targeted therapy. Methods: Key cell clusters were identified using InferCNV analysis and combined with differential gene expression analysis, pseudotime trajectory analysis, transcription factor regulatory network construction, and functional enrichment analysis; signaling pathways closely associated with OS metastasis were screened and subsequently validated through the GSE152048 dataset and in vitro functional experiments. Results: In this study, a total of 10 cell clusters were identified. Immune cells exhibited higher infiltration levels in the metastatic group. Further dimensionality reduction and clustering of malignant osteoblastic cells revealed five subpopulations, among which the metastatic C1 and C3 subclusters exhibited more pronounced malignant features. The results showed that BAMBI was specifically downregulated during the transition from nonmetastatic to metastatic states. Further analysis indicated that JUN may maintain subcluster phenotypic stability by regulating BAMBI expression. Moreover, as a pseudoreceptor of the TGF- Conclusion: This study reveals that during the progression of OS from a nonmetastatic to a metastatic state, BAMBI expression is downregulated and may be regulated by JUN. The decreased expression of BAMBI leads to hyperactivation of the TGF-

Indexed as

Bone NeoplasmsMembrane ProteinsOsteosarcomaProto-Oncogene Proteins c-junCell Line, TumorCell MovementComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansNeoplasm InvasivenessSignal TransductionSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTranscriptomeBAMBI protein, humanMembrane ProteinsProto-Oncogene Proteins c-junbiomarkerintratumor heterogeneitymigration and invasionosteosarcomasingle-cell transcriptomics

Identifiers

PMID42211757
PMCPMC13214976

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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.