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基于拉曼光谱和生物信息学识别关键基因和途径,能够区分扩散大B细胞淋巴瘤和慢性淋巴细胞白血病

Haoyue Liang^1,2, Zhijie Cao^1,2, Yansong Ren^1,2

¹State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.

Frontiers in immunology

|March 12, 2025

概括

生物信息学分析确定了扩散性大B细胞淋巴瘤 (DLBCL) 和慢性淋巴细胞白血病 (CLL) 中的关键基因表达模式. 这些发现为诊断和治疗这些非霍奇金淋巴瘤亚型提供了潜在的分子标记物.

科学领域:

血液学血液学血液学
生物信息学是一种生物信息学.
在瘤学瘤学.

背景情况:

扩散性大B细胞淋巴瘤 (DLBCL) 和慢性淋巴细胞白血病 (CLL) 是不同的非霍奇金淋巴瘤 (NHL) 亚型.
结核性淋巴瘤转变为DLBCL (里希特转变) 是一个罕见但具有侵入性的现象.

研究的目的:

对DLBCL和CLL进行生物信息学分析,以确定关键的基因表达模式.
通过实验验证已识别的差异表达基因 (DEGs) 的诊断和治疗潜力.

主要方法:

利用来自GEO数据库的基因表达数据集来识别DEGs.
进行基因本体学 (GO) 分析和蛋白质-蛋白质相互作用 (PPI) 网络构建.
在患者样本中进行了血清学分析并验证了关键基因.

主要成果:

确定了许多与炎症和免疫反应相关的上下调节的DEG.
在DLBCL,CLL和健康对照人群之间发现了血清蛋白水平 (ALB,TT,WBC,TG,HDL,GGT,ALP,ALT,NEUT%) 的显著差异.
验证了关键基因,证实了它们在DLBCL和CLL病原体中的相关性.

结论:

建立了一组涉及DLBCL和CLL发育的分子标记物.
这些标记物可以帮助患者诊断,预后评估和NHL的治疗策略.
这项研究为开发针对这些淋巴瘤亚型的新型治疗提供了基础.

关键词:

在 CLL CLL 中.DLBCL DLBCL 是一个字母.拉曼光谱法拉曼光谱法生物信息学分析分析蛋白质与蛋白质相互作用网络

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