Subtype-specific analysis of gene co-expression networks and immune cell profiling reveals high grade serous ovarian cancer subtype linkage to variable immune microenvironment.

IF 3.8 3区 医学 Q1 REPRODUCTIVE BIOLOGY
Kaylin M Carey, Corey D Young, Alexis J Clark, Eric B Dammer, Rajesh Singh, James W Lillard
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Abstract

High-grade serous ovarian cancer (HGSOC) is marked by significant molecular diversity, presenting a major clinical challenge due to its aggressive nature and poor prognosis. This study aims to deepen the understanding of HGSOC by characterizing mRNA subtypes and examining their immune microenvironment (TIME) and its role in disease progression. Using transcriptomic data and an advanced computational pipeline, we investigated four mRNA subtypes: immunoreactive, differentiated, proliferative, and mesenchymal, each associated with distinct gene expression profiles and clinical behaviors. We performed differential expression analysis among mRNA subtypes using DESeq2 and conducted Weighted Gene Co-Expression Network Analysis (WGCNA) to identify co-expressed gene modules related to clinical traits, e.g., age, survival, and subtype classification. Gene Ontology (GO) analysis highlighted key pathways involved in tumor progression and immune evasion. Additionally, we utilized TIMER 2.0 to assess immune cell infiltration across different HGSOC subtypes, providing insights into the interplay between tumor immune microenvironment (TIME). Our findings show that the immunoreactive subtype, particularly the M3 module-associated network, was marked by high immune cell infiltration, including M1 (p < 0.0001) and M2 macrophages (p < 0.01), and Th1 cells (p < 0.01) along with LAIR-1 expression (p = 1.63e-101). The M18 module exhibited strong B cell signatures (p = 6.24e-28), along with significant FCRL5 (adj. p = 3.09e-30) and IRF4 (adj. p = 3.09e-30) coexpression. In contrast, the M5 module was significantly associated with the mesenchymal subtype, along with fibroblasts (p < 0.0001). The proliferative subtype was characterized by M15 module-driven cellular growth and proliferation gene expression signatures, along with significant ovarian stromal cell involvement (p < 0.0001). Our study reveals the complex interplay between mRNA subtypes and suggests genes contributing to molecular subtypes, underscoring the important clinical implications of mRNA subtyping in HGSOC.

基因共表达网络和免疫细胞谱的亚型特异性分析揭示了高级别浆液性卵巢癌亚型与可变免疫微环境的联系。
高级别浆液性卵巢癌(HGSOC)具有显著的分子多样性,由于其侵袭性和预后差,给临床带来了重大挑战。本研究旨在通过表征mRNA亚型并检测其免疫微环境(TIME)及其在疾病进展中的作用来加深对HGSOC的理解。利用转录组学数据和先进的计算管道,我们研究了四种mRNA亚型:免疫反应型、分化型、增殖型和间充质型,每种亚型都与不同的基因表达谱和临床行为相关。我们使用DESeq2对mRNA亚型进行差异表达分析,并进行加权基因共表达网络分析(WGCNA),以确定与临床特征(如年龄、生存和亚型分类)相关的共表达基因模块。基因本体(GO)分析强调了肿瘤进展和免疫逃避的关键途径。此外,我们利用TIMER 2.0来评估不同HGSOC亚型的免疫细胞浸润,从而深入了解肿瘤免疫微环境(TIME)之间的相互作用。我们的研究结果表明,免疫反应性亚型,特别是M3模块相关网络,以高免疫细胞浸润为特征,包括M1 (p
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来源期刊
Journal of Ovarian Research
Journal of Ovarian Research REPRODUCTIVE BIOLOGY-
CiteScore
6.20
自引率
2.50%
发文量
125
审稿时长
>12 weeks
期刊介绍: Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ. Topical areas include, but are not restricted to: Ovary development, hormone secretion and regulation Follicle growth and ovulation Infertility and Polycystic ovarian syndrome Regulation of pituitary and other biological functions by ovarian hormones Ovarian cancer, its prevention, diagnosis and treatment Drug development and screening Role of stem cells in ovary development and function.
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