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人工智能揭示骨肉瘤和铜死亡相关生物标志物 PDHA1、CDKN2A 和中性粒细胞的失调。

Artificial intelligence reveals dysregulation of osteosarcoma and cuproptosis-related biomarkers, PDHA1, CDKN2A and neutrophils.

机构信息

Orthopedics, Guangxi Academy of Medical Sciences, Guangxi Zhuang Autonomous Region People's Hospital, Nanning, 530016, People's Republic of China.

Spinal Orthopedic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.

出版信息

Sci Rep. 2023 Mar 26;13(1):4927. doi: 10.1038/s41598-023-32195-2.

DOI:10.1038/s41598-023-32195-2
PMID:36967449
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10040405/
Abstract

At present, the impact of cuproptosis-related genes in the study of osteosarcoma is largely unknown. Genome-wide data of osteosarcoma and controls were downloaded from 3 different databases, and specific diagnostic models associated with cuproptosis in osteosarcoma were constructed by support vector machines with artificial intelligence, random forest trees and LASSO regression. Differential analysis of immune cell infiltration was examined using routine blood data from 25,665 cases. Differential expression was examined using immunohistochemistry and PCR. PDHA1 and CDKN2A were obtained as specific cuproptosis-related biomarkers for osteosarcoma after artificial intelligence analysis. PDHA1, CDKN2A and neutrophils were differentially expressed in OS and control groups. PDHA1 and CDKN2A are significantly dysregulated in OS and are able to serve as biomarkers of OS.

摘要

目前，铜死亡相关基因在骨肉瘤研究中的影响在很大程度上是未知的。从 3 个不同的数据库中下载骨肉瘤和对照的全基因组数据，并通过支持向量机、随机森林树和 LASSO 回归构建与骨肉瘤铜死亡相关的特定诊断模型。使用来自 25665 例的常规血液数据检查免疫细胞浸润的差异分析。使用免疫组织化学和 PCR 检查差异表达。经过人工智能分析，获得了 PDHA1 和 CDKN2A 作为骨肉瘤的特异性铜死亡相关生物标志物。PDHA1、CDKN2A 和中性粒细胞在骨肉瘤和对照组中表达差异。PDHA1 和 CDKN2A 在骨肉瘤中明显失调，可作为骨肉瘤的生物标志物。

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