Multi-Transcriptomics Analysis Identifies NNAT as a Key Molecule Driving the Invasive Phenotype Across All Lineages of Pituitary Adenomas

转录组 垂体腺瘤 生物 腺瘤 基因 垂体瘤 表型 计算生物学 基因表达 生物信息学 基因表达谱 癌症研究 多重聚合酶链反应 体内 垂体瘤 垂体疾病 疾病 RNA序列 细胞 电池类型 神经科学 基因表达调控 垂体 基因调控网络 基因沉默 病理
作者
M M Liu,H Wang,Jing Guo,Xuejing Li,Changxiaofeng Liu,Jialin Wang,Zhaoyi Yi,Wenbin Xue,Qiuyue Fang,H Wang,Lei Gong,Y Zhang,Chuzhong Li,Weiyan Xie
出处
期刊:Neuro-oncology [Oxford University Press]
标识
DOI:10.1093/neuonc/noag113
摘要

Abstract Background Although histologically benign, invasive pituitary adenomas exhibit malignant-like biological behavior, characterized by local invasiveness and high proliferative activity. Clinical management remains challenging due to the absence of effective targeted therapies, difficulties with surgical resection, and high risks of postoperative residual disease and recurrence. Precise therapeutic targets are urgently needed. Methods To investigate molecular mechanisms underlying pituitary adenoma invasion and identify potential therapeutic targets, we collected 216 whole transcriptome sequencing datasets representing all pituitary adenoma lineages, along with several single-cell transcriptome datasets. The Scissor algorithm was utilized to identify invasion-associated cell subpopulations. Single-cell weighted gene co-expression network analysis delineated the underlying gene regulatory network. Differential gene expression and pathway enrichment analyses explored NNAT–MAPK contributions to pituitary adenoma invasion. Findings were validated through in vitro and in vivo experiments (quantitative polymerase chain reaction, CCK-8, colony formation, Transwell assays, western blotting, immunohistochemistry, and multiplex immunofluorescence). Results Multi-transcriptomics analysis comprehensively characterized the transcriptomic landscape of invasive pituitary adenomas and revealed active RNA interactions within these tumors, particularly between mRNAs and long non-coding RNAs. Specific cell subpopulations associated with invasiveness were confirmed at the single-cell level. Analysis of phenotype-associated gene regulatory networks within these subpopulations identified the NNAT–MAPK–p38 axis, which promotes epithelial–mesenchymal transition in pituitary adenoma cells and drives invasion. Conclusion These findings enhance understanding of the mechanisms underlying pituitary adenoma invasiveness and identify NNAT as a candidate for targeted therapy development, offering potential precision treatment strategies for patients resistant to conventional therapies or experiencing recurrent disease after surgery.
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