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识别透到肺腺癌微环境中的关键免疫细胞及其相关的长非编码RNA

Kai Wang^1,2, Tao Yan³, Deyu Guo¹

¹Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, China.

|March 4, 2024

概括

长非编码RNA (lncRNA) PCBP1-AS1通过影响调节性T细胞 (Treg) 透,可能会影响肺腺癌的进展. 准PCBP1-AS1和Tregs为这种癌症提供了潜在的诊断和治疗策略.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
免疫学免疫学免疫学

背景情况:

免疫细胞透到瘤微环境 (TME) 在肺腺癌中至关重要.
调节性T细胞 (Tregs) 透与肺腺癌患者的预后有负相关性.
长非编码RNAs (lncRNAs) 与癌症的发展和免疫反应有关.

研究的目的:

确定与肺腺癌TME免疫细胞透相关的关键 lncRNAs.
调查lncRNA PCBP1-AS1在Treg透中的作用及其与TGF-β通路的关联.
评估PCBP1-AS1作为肺腺癌的潜在诊断和治疗点.

主要方法:

机器学习模型开发使用3896个肺腺癌样本.
在体外实验验证 lncRNA 功能的验证.
临床样本染色和分析PCBP1-AS1和Treg透.
研究PCBP1-AS1对细胞增殖,细胞循环,入侵,迁移和细胞亡的影响.

主要成果:

一个机器学习模型确定了与免疫细胞透相关的关键 lncRNA.
PCBP1-AS1被确定为一个关键的lncRNA,可能通过TGF-β通路调节Treg透.
在临床样本中,PCBP1-AS1表达与Treg透和TGF-β表达有负相关.
PCBP1-AS1影响肺腺癌细胞的增殖,细胞循环,入侵,迁移和亡.

结论:

LncRNA PCBP1-AS1在调节肺腺癌TME中的Treg透中发挥着重要作用.
通过调节TGF-β通路,PCBP1-AS1是免疫治疗临床反应的潜在预测因子.
向PCBP1-AS1和Tregs为肺腺癌的诊断和治疗提供了一个有希望的途径.

关键词:

癌症癌症癌症癌症癌症分类描述描述描述免疫学免疫学免疫学机器学习是机器学习.微观环境是一个微观环境.分子生物学分子生物学

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