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生物信息学方法将其鉴定为骨肉瘤中一种新的潜在预后因素。

The bioinformatic approach identifies as a new potential prognostic factor in osteosarcoma.

作者信息

Feng Haijun, Wang Liping, Liu Jie, Wang Shengbao

机构信息

Department of Orthopedics, Second Hospital of Lanzhou University, Lanzhou, Gansu, China.

Department of Neurosurgery, Liaocheng Second People's Hospital, Liaocheng, Shandong, China.

出版信息

Front Oncol. 2023 Mar 6;12:1059547. doi: 10.3389/fonc.2022.1059547. eCollection 2022.

DOI:10.3389/fonc.2022.1059547
PMID:36950314
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10025378/
Abstract

OBJECTIVE

To explore the key factors affecting the prognosis of osteosarcoma patients.

METHODS

Based on the GEO dataset and differential expression analysis of normal and osteosarcoma tissues, the gene modules related to the prognosis of osteosarcoma patients were screened by WGCNA, and intersecting genes were taken with differential genes, and the risk prognosis model of osteosarcoma patients was constructed by LASSO regression analysis of intersecting genes, and the prognosis-related factors of osteosarcoma patients were obtained by survival analysis, followed by target for validation, and finally, the expression of prognostic factors and their effects on osteosarcoma cell migration were verified by cellular assays and lentiviral transfection experiments.

RESULTS

The prognosis-related gene module of osteosarcoma patients were intersected with differential genes to obtain a total of 9 common genes. PARM1 was found to be a prognostic factor in osteosarcoma patients by LASSO regression analysis, followed by cellular assays to verify that PARM1 was lowly expressed in osteosarcoma cells and that overexpression of PARM1 in osteosarcoma cells inhibited cell migration. Pan-cancer analysis showed that PARM1 was lowly expressed in most cancers and that low expression of PARM1 predicted poor prognosis for patients.

CONCLUSION

The data from this study suggest that PARM1 is closely associated with the prognosis of osteosarcoma patients, and PARM1 may serve as a novel potential prognostic target for osteosarcoma, providing a heartfelt direction for the prevention and treatment of osteosarcoma.

摘要

目的

探讨影响骨肉瘤患者预后的关键因素。

方法

基于GEO数据集以及正常组织与骨肉瘤组织的差异表达分析，通过加权基因共表达网络分析（WGCNA）筛选出与骨肉瘤患者预后相关的基因模块，并与差异基因取交集，对交集基因进行LASSO回归分析构建骨肉瘤患者风险预后模型，通过生存分析得出骨肉瘤患者的预后相关因素，随后进行靶点验证，最后通过细胞实验和慢病毒转染实验验证预后因素的表达及其对骨肉瘤细胞迁移的影响。

结果

将骨肉瘤患者的预后相关基因模块与差异基因取交集，共获得9个共同基因。通过LASSO回归分析发现PARM1是骨肉瘤患者的预后因素，随后细胞实验验证PARM1在骨肉瘤细胞中低表达，且在骨肉瘤细胞中过表达PARM1可抑制细胞迁移。泛癌分析显示PARM1在大多数癌症中低表达，且PARM1低表达预示患者预后不良。

结论

本研究数据表明PARM1与骨肉瘤患者预后密切相关，PARM1可能作为骨肉瘤新的潜在预后靶点，为骨肉瘤的防治提供了新思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/cbf72fda91cc/fonc-12-1059547-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/35c0ffaef867/fonc-12-1059547-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/6e075515c6fb/fonc-12-1059547-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/ea05ae134756/fonc-12-1059547-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/5f5322d3c0a5/fonc-12-1059547-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/193cd3ef31fb/fonc-12-1059547-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/d906661f7e88/fonc-12-1059547-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/36bb5a3c2c2a/fonc-12-1059547-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/cbf72fda91cc/fonc-12-1059547-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/35c0ffaef867/fonc-12-1059547-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/6e075515c6fb/fonc-12-1059547-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/ea05ae134756/fonc-12-1059547-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/5f5322d3c0a5/fonc-12-1059547-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/193cd3ef31fb/fonc-12-1059547-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/d906661f7e88/fonc-12-1059547-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/36bb5a3c2c2a/fonc-12-1059547-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/10025378/cbf72fda91cc/fonc-12-1059547-g008.jpg

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Ferroptosis-related gene signature associates with immunity and predicts prognosis accurately in patients with osteosarcoma.
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