Multi-omics protein signaling networks identify sex-specific therapeutic candidates in lung adenocarcinoma.

IF 5.1 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Chen Chen, Enakshi Saha, Jonas Fischer, Marouen Ben Guebila, Viola Fanfani, Katherine H Shutta, Megha Padi, Kimberly Glass, Dawn L DeMeo, Camila M Lopes-Ramos, John Quackenbush
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引用次数: 0

Abstract

Background: Lung adenocarcinoma shows distinct differences between males and females in incidence, prognosis, and treatment response, suggesting unique molecular mechanisms that remain underexplored. This study aims to identify sex-specific molecular signatures and therapeutic targets in lung adenocarcinoma using multi-omics approaches to inform personalized treatment strategies.

Methods: We conducted an integrative analysis of transcriptomic and proteomic data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and The Cancer Genome Atlas (TCGA) datasets, comparing male and female lung adenocarcinoma profiles. Transcription factor activity was assessed using TIGER on gene expression data, while kinase activity was evaluated with PTM-SEA on proteomic data. These results were combined to build a kinase-transcription factor signaling network. Potential sex-specific drugs were identified using the PRISM drug screening database.

Results: The analysis revealed significant sex-based differences in transcription factor and kinase activity. Notably, NR3C1, AR, and AURKA exhibited sex-biased expression and activity. The constructed signaling network highlighted druggable pathways linked to cancer-related processes, with distinct profiles in males and females. PRISM screening identified glucocorticoid receptor agonists and aurora kinase inhibitors as promising sex-specific therapeutic candidates.

Conclusions: Our findings underscore the importance of considering sex differences in lung adenocarcinoma molecular profiles. The integration of transcriptomic and proteomic data reveals sex-specific pathways and potential therapies, paving the way for personalized treatment approaches tailored to male and female patients.

多组学蛋白信号网络识别肺腺癌性别特异性治疗候选者。
背景:男性和女性肺腺癌在发病率、预后和治疗反应方面存在明显差异,表明其独特的分子机制仍未被充分探索。本研究旨在利用多组学方法识别肺腺癌的性别特异性分子特征和治疗靶点,为个性化治疗策略提供信息。方法:我们对临床蛋白质组学肿瘤分析联盟(CPTAC)和癌症基因组图谱(TCGA)数据集的转录组学和蛋白质组学数据进行了综合分析,比较了男性和女性肺腺癌的特征。转录因子活性用TIGER评估基因表达数据,激酶活性用PTM-SEA评估蛋白质组学数据。将这些结果结合起来构建激酶转录因子信号网络。使用PRISM药物筛选数据库确定潜在的性别特异性药物。结果:分析显示转录因子和激酶活性存在显著的性别差异。值得注意的是,NR3C1、AR和AURKA表现出性别偏倚的表达和活性。构建的信号网络突出了与癌症相关过程相关的药物通路,在男性和女性中具有不同的特征。PRISM筛选确定糖皮质激素受体激动剂和极光激酶抑制剂是有希望的性别特异性治疗候选者。结论:我们的研究结果强调了在肺腺癌分子谱中考虑性别差异的重要性。转录组学和蛋白质组学数据的整合揭示了性别特异性途径和潜在的治疗方法,为针对男性和女性患者的个性化治疗方法铺平了道路。
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来源期刊
Biology of Sex Differences
Biology of Sex Differences ENDOCRINOLOGY & METABOLISM-GENETICS & HEREDITY
CiteScore
12.10
自引率
1.30%
发文量
69
审稿时长
14 weeks
期刊介绍: Biology of Sex Differences is a unique scientific journal focusing on sex differences in physiology, behavior, and disease from molecular to phenotypic levels, incorporating both basic and clinical research. The journal aims to enhance understanding of basic principles and facilitate the development of therapeutic and diagnostic tools specific to sex differences. As an open-access journal, it is the official publication of the Organization for the Study of Sex Differences and co-published by the Society for Women's Health Research. Topical areas include, but are not limited to sex differences in: genomics; the microbiome; epigenetics; molecular and cell biology; tissue biology; physiology; interaction of tissue systems, in any system including adipose, behavioral, cardiovascular, immune, muscular, neural, renal, and skeletal; clinical studies bearing on sex differences in disease or response to therapy.
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