Evidence map›Paper›PMID 40686838›Full record

ArticleCancer informatics2025

Single-Cell Transcriptome Analyses of Four Pain Related Genes in Osteosarcoma.

Mesalie Feleke, Haiyingjie Lin, Yun Liu, Liang Mo, Emel Rothzerg, Dezhi Song, Jinmin Zhao, Wenyu Feng, Jiake Xu

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In one paragraph

Article in Cancer informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mesalie FelekeSchool of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia.
Haiyingjie LinSchool of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia.
Yun LiuDepartment of Orthopaedics, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Liang MoShenzhen University of Advanced Technology, Guangdong, China.ORCID https://orcid.org/0000-0002-5554-6196
Emel RothzergSchool of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia.
Dezhi SongDepartment of Orthopaedics, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Jinmin ZhaoDepartment of Orthopaedics, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Wenyu FengDepartment of Orthopaedics, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Jiake XuSchool of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia.ORCID https://orcid.org/0000-0003-2021-8309

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Osteosarcoma (OS) is a rare and complex form of cancer that mostly affects children and adolescents. Pain is a common symptom for patients in OS which causes significant unhappiness and persistent aches. To date, there is minimal knowledge on the mechanisms underlying OS induced pain and few treatment options for patients. Previous genetic studies have demonstrated that the panel of four genes, artemin ( Methods: In the present study, by utilising a scRNA-seq OS dataset, we aimed to measure the gene expression levels of four pain related genes, and compare them between the different cell types in human OS tissues and cell lines. Results: Within a complex and diverse range of cell types in OS tissues, including osteoblastic OS cells, carcinoma associated fibroblasts (CAFs), B cells, myeloid cells 1, myeloid cells 2, NK/T cells, plasmocytes, Conclusion: Future studies should investigate the potential to target deferentially expressed pain-related genes in specific cell types of OS for therapeutic benefit to improve the quality of life for patients living with pain caused by OS.

Indexed as

bioinformaticsNGSosteoblastic cellsosteosarcomasarcomascRNA sequencing

Identifiers

PMID40686838
PMCPMC12276477

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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.