相关实验视频

Updated: Jul 21, 2026

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer

Published on: March 17, 2016

综合生物信息学和毒基因组学揭示了双A驱动的分子网络和子宫内膜癌的预后生物标志物

Shuangge Liu¹, Xiaoxiong Wu², Haojia Li¹

¹Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, People's Republic of China.

Toxicology research

|November 12, 2025

概括

双甲 (BPA) 暴露与子宫内膜癌通过特定的基因表达变化有关. 这项研究确定了关键基因和风险模型,影响患者的生存和免疫反应.

科学领域:

内分泌学在内分泌学.
基因组学就是基因组学.
癌症研究癌症研究

背景情况:

双A (BPA) 是一种具有内分泌干扰特性的工业化学物质.
新出现的证据表明,BPA暴露与子宫内膜癌发展之间存在联系.

研究的目的:

在子宫内膜癌中研究BPA相关基因表达的分子机制和预后意义.
确定潜在的生物标志物和与子宫内膜癌中BPA暴露相关的治疗标.

主要方法:

对差异表达基因 (DEGs) 的TCGA-UCEC数据集的生物信息学分析.
使用CTD和SwissTargetPrediction数据库识别与BPA相关的目标.
使用COX和LASSO回归构建预后风险模型,通过分子对接和免疫透分析验证.

主要成果:

在子宫内膜癌中确定了40个不同表达的BPA相关毒性标.
丰富分析显示,与BPA相关的基因参与组织发育,激素活性和细胞信号传递.
一个五基因预后模型 (PGR,HTR2B,HTR6,NCAPG,SIX1) 显著分层患者存活率,将高风险得分与不良临床特征和减少免疫透相关联.

结论:

与BPA相关的基因在子宫内膜癌中表现出显著的差异表达和预后价值.
暴露于BPA可能会影响子宫内膜癌发生,临床结果和免疫微环境.
这些发现为针对BPA诱导的子宫内膜癌的潜在治疗策略提供了洞察力.

关键词:

生物信息学是一种生物信息学.双甲是一种双甲.这是子宫内膜癌的癌症.免疫微观环境免疫微环境分子对接的分子对接.预后签名预测签名毒性基因组学毒性基因组学

更多相关视频

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

相关概念视频

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Mutagenicity and Carcinogenicity

Mutagenicity and Carcinogenicity

Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...