{"title":"Single-Cell Transcriptome Analyses of Four Pain Related Genes in Osteosarcoma.","authors":"Mesalie Feleke, Haiyingjie Lin, Yun Liu, Liang Mo, Emel Rothzerg, Dezhi Song, Jinmin Zhao, Wenyu Feng, Jiake Xu","doi":"10.1177/11769351251331508","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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 (<i>ARTN</i>), persephin (<i>PSPN</i>), glial cell line-derived neurotropic factor (<i>GDNF</i>), and neurturin (<i>NRTN</i>) are associated with the regulation of pain processing in OS and analgesic responses.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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, <i>ARTN</i> and <i>NRTN</i> genes had the highest expression in Osteoblastic OS cells, <i>GDNF</i> gene had a peak expression in carcinoma associated fibroblasts, and <i>PSPN</i> gene in endothelial cells. In addition, all four genes showed deferential pattern of expression in 16 OS cell lines.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":35418,"journal":{"name":"Cancer Informatics","volume":"24 ","pages":"11769351251331508"},"PeriodicalIF":2.4000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12276477/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11769351251331508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0
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 (ARTN), persephin (PSPN), glial cell line-derived neurotropic factor (GDNF), and neurturin (NRTN) are associated with the regulation of pain processing in OS and analgesic responses.
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, ARTN and NRTN genes had the highest expression in Osteoblastic OS cells, GDNF gene had a peak expression in carcinoma associated fibroblasts, and PSPN gene in endothelial cells. In addition, all four genes showed deferential pattern of expression in 16 OS cell lines.
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.
期刊介绍:
The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.