在肝细胞癌的进展过程中,CCT3关联网络信号的功能障碍为临界状态提供信号
Jianwei Wang1, Xiaowen Guan2, Ning Shang2
1School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 45001, China; School of Life Sciences, Zhengzhou University, Zhengzhou 45001, China.
Biochimica et biophysica acta. Molecular basis of disease
|February 15, 2024
概括
研究人员确定了肝癌 (肝细胞癌) 进展的关键状态. 发现包括CCT3在内的五个关键基因是早期预警信号,有助于早期诊断和治疗.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 肝细胞癌 (HCC) 是一种普遍存在的恶性瘤,具有重大健康影响.
- 由于难以识别关键过渡点和早期预警信号,早期发现和治疗HCC仍然具有挑战性.
- 了解驱动肝癌发生的分子机制对于改善患者的治疗结果至关重要.
研究的目的:
- 为了确定肝细胞癌 (HCC) 进展的临界状态 (临界点).
- 用时间序列转录组数据发现参与肝癌发生的关键分子.
- 为了验证潜在的HCC早期预警信号.
主要方法:
- 利用了来自HCC患者的时间序列转录组表达数据.
- 通过图形结构学习 (DDRTree) 和动态网络生物标记 (DNB) 方法来识别关键基因.
- 已验证的候选基因和已识别的早期预警信号在甲胺 (DEN) 诱导的HCC小鼠模型中.
主要成果:
- 从非常早期的HCC (veHCC) 到早期的HCC (eHCC) 的过渡被确定为关键状态.
- 通过使用DDRTree和DNB.143个关键候选基因被确定.
- 五个基因 (CCT3,DSTYK,EIF3E,IARS2,TXNRD1) 被确定为HCC危急状态的潜在早期预警信号.
- 证实CCT3是HCC的独立预后因素,其功能与MYC目标和E2F目标相关.
结论:
- 结合的DDRTree和DNB方法有效地识别了致癌的关键状态和候选分子.
- 鉴定到的早期预警信号,特别是CCT3,为HCC的早期诊断和预防性治疗提供了新的见解.
- 这项研究提供了一种新的预测方法,用于了解和干预HCC发展.
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