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生物信息学分析以确定内分泌破坏性化学物质,针对关键的ESCC相关基因

Yinnan Zhu¹, Weitao Shen², Mingyue Li¹

¹Department of Gastroenterology, Zhongda Hospital, Southeast University, Nanjing, China.

Toxicology mechanisms and methods

|August 5, 2025

概括

这项研究揭示了一个新的网络,通过关键基因相互作用将内分泌破坏性化学物质 (EDC) 与食道状细胞癌 (ESCC) 联系起来. 它确定了这种侵袭性癌症的潜在环境因素和治疗点.

科学领域:

在瘤学瘤学.
环境健康环境健康
生物信息学是一种生物信息学.

背景情况:

食道状细胞癌 (ESCC) 是一个重大的健康挑战,特别是在东亚,由遗传和环境因素驱动.
内分泌干扰化学物质 (EDC) 是公认的环境风险因素,但它们在ESCC通过基因相互作用的致病性中的特定作用尚不清楚.

研究的目的:

调查EDC,基因变异和ESCC发展之间的复杂关系.
使用生物信息学方法识别关键基因和涉及ESCC病变的特定EDC.

主要方法:

利用生物信息学分析,整合了来自比较毒基因组学数据库 (CTD) 的化学基因相互作用数据.
从基因表达总 (GEO) 数据库中选的差异表达基因 (DEG).
使用LASSO回归来优先考虑关键基因 (BUB1B,TPM2,KRT17,ADH1B,SALL4) 并确定相关的EDC.

主要成果:

确定了25个可能参与ESCC的EDC网络,其中13个EDC针对至少三个优先基因.
突出了特定的EDCs,如[a]pyrene,作为通过基因相互作用对ESCC的潜在显著贡献者.
建立了一个新的EDC-基因-ESCC交互网络.

结论:

该研究阐明了有助于ESCC发展的潜在环境机制.
这些发现为EDC驱动的ESCC病原体提供了新的见解.
确定了ESCC风险评估和治疗干预的潜在目标.

关键词:

EDC基因疾病相互作用.食管状细胞癌的癌症生物信息学分析分析破坏内分泌的化学物质破坏内分泌的化学物质关键基因预测基因预测

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