卵巢癌中与年龄有关的脂质代谢调控

Jihua Feng, Clay Douglas Rouse, Isabella Coogan, Olivia Byrd, Zhiqing Huang
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摘要

尽管人们在卵巢癌(OC)研究方面投入了大量精力,但其死亡率仍然是女性妇科恶性肿瘤中最高的。尽管年龄是卵巢癌发生和发展的最高风险因素,但高龄肿瘤微环境的影响仍被忽视。在这项研究中,我们对卵巢癌形成前后的年轻和老年大鼠异种移植的性腺脂肪组织进行了 RNA 测序和脂质组学分析。我们发现,老年卵巢癌异种移植大鼠模型的肿瘤形成率和体积均明显高于年轻模型(p<0.05),这表明老年脂肪微环境(AME)更易受卵巢癌生长的影响。我们发现,在肿瘤形成前,年轻大鼠组与老年大鼠组、肿瘤形成时,年轻大鼠组与老年大鼠组以及肿瘤形成前后,老年大鼠组与年轻大鼠组的基因表达富集发生了明显变化。我们还观察到,在肿瘤形成时,年轻大鼠异种移植组和老年大鼠异种移植组之间性腺脂肪组织的脂质成分发生了变化。此外,我们还发现,老年 AME 与免疫细胞组成中与年龄相关的变化有关,尤其是与炎症相关的细胞。老年脂肪组织和年轻脂肪组织之间差异最大的前几位基因是 8 个基因,包括 S100a8、S100a9、Il1rl1、Lcn2、C3、Hba-a1、Fcna 和 Pnpla3;22 种脂类,包括多种游离脂肪酸(FFA)和甘油三酯(TG)同工酶;以及 4 种免疫细胞,包括中性粒细胞、髓样树突状细胞、T 细胞 CD4+(非调控)和肥大细胞活化。还测定了 S100a8、S100a9、中性粒细胞和 FFA(18:3)之间的功能相关性。此外,FFA(18:3)在老年异种移植大鼠中被证明是下调的,它能够抑制 OC 细胞的增殖。总之,我们的研究表明,衰老会通过基因/通路、脂质代谢和免疫细胞的变化促进 OC 增殖。针对衰老的脂肪微环境,尤其是脂质代谢重编程,有望成为一种治疗 OC 的策略,值得进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regulation of Age-Related Lipid Metabolism in Ovarian Cancer
Although a lot of effort has been dedicated to ovarian cancer (OC) research, the mortality rate is still among the highest in female gynecologic malignancies. The effects of the aged tumor microenvironment are still being undermined despite age being the highest risk factor in ovarian cancer development and progression. In this study, we have conducted RNA sequencing and lipidomics analysis of gonadal adipose tissues from young and aged rat xenografts before and after ovarian cancer formation. We have found significantly higher tumor formation rates and volumes in aged OC xenograft rat models compared to their young counterparts (p<0.05), suggesting the aged adipose microenvironment (AME) is more susceptible to OC outgrowth. We have revealed significant shifts in the gene expression enrichment from groups of young vs. aged rats before tumor formation, groups of young vs. aged rats when the tumor formed, and groups of aged rats before and after tumor formation. We also observed shifts in the lipid components of the gonadal adipose tissues between young and aged rat xenografts when tumors were generated. Additionally, we found that the aged AME was associated with age-related changes in the immune cell composition, especially inflammation-related cells. The top hits showing the most differences between aged and young adipose tissues were eight genes including S100a8, S100a9, Il1rl1, Lcn2, C3, Hba-a1, Fcna, and Pnpla3, 22 lipids including multiple isoforms of free fatty acids (FFA) and triglyceride (TG), as well as four immune cells including neutrophil, myeloid dendritic cell, T cell CD4+ (non-regulatory), and mast cell activation. The functional correlation among S100a8, S100a9, neutrophil, and FFA (18:3) was also determined. Furthermore, FFA (18:3), which was shown to be downregulated in aged xenograft rats, was capable of inhibiting OC cell proliferation. In conclusion, our study suggested that aging promoted OC proliferation through changes in genes/pathways, lipid metabolism, and immune cells. Targeting the aging adipose microenvironment, particularly lipid metabolism reprogramming, holds promise as a therapeutic strategy for OC, which warrants further investigation.
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