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在非功能性垂体腺瘤的侵入性相关模块中识别和验证特征基因

Xin Ma¹, Hongyu Wu¹, Yu Zhang¹

¹Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.

|February 27, 2026

概括

研究人员确定了五个基因特征 (KIFC3,PNMA3,ARHGAP18,LRRC10B,KCNC4),可以准确预测非功能性垂体腺瘤 (NFPA) 的侵入性. 这一发现为风险分层提供了潜在的生物标志物.

科学领域:

内分泌学在内分泌学.
分子生物学分子生物学
基因组学就是基因组学.
在瘤学瘤学.

背景情况:

侵入性非功能性垂体腺瘤 (NFPA) 由于高复发率和不良的临床结果而存在挑战.
对于NFPA侵入性的分子驱动因素尚未完全理解,这阻碍了有效的风险分层和治疗.
识别可靠的生物标志物对于预测侵入性行为和改善患者管理至关重要.

研究的目的:

确定与非功能性垂体腺瘤 (NFPAs) 侵入性相关的强有力的分子生物标志物.
整合转录,机器学习和表观遗传数据用于生物标志物发现.
探索已识别的生物标志物的临床风险分层的潜力.

主要方法:

在32个NFPA样本 (15个侵入性,17个非侵入性) 上进行了RNA测序.
权重基因共同表达网络分析 (WGCNA) 确定了侵入性相关的基因模块.
机器学习算法 (随机森林,逐步逻辑回归) 优先考虑候选基因并验证签名;DNA甲基化数据被分析为表观遗传调节.

主要成果:

在侵袭性NFPA中发现了五个基因特征 (KIFC3,PNMA3,ARHGAP18,LRRC10B,KCNC4) 并在侵袭性NFPA中持续下调 (p < 0.01).
这些基因富含氧化酸化和神经活性联体受体相互作用通路.
五个基因签名显示出强大的侵袭性差异化性能 (平均AUC = 0.919);DNA甲基化显示没有强大的全基因组差异,但表明了特定位置的变化.

结论:

一个新的五基因特征准确地预测了NFPA的侵入性,提供了潜在的诊断和预后价值.
这些基因的协调下调表明细胞代谢和信号在侵袭性腺瘤改变.
虽然该签名显示出诊断的前景,但其转录抑制不太可能仅仅由DNA甲基化驱动,这需要进一步的机械研究.

关键词:

在KIFC3中,KIFC3是在 NFPA 中,NFPA 在 NFPA 中,NFPA 在 NFPA 中.生物标志物生物标志物侵入性侵袭性侵袭性多主题整合多主题整合.

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