PO.MCB04.02 · 分子与细胞生物学

衰老性胶质母细胞瘤细胞外囊泡的货物分析鉴定小核仁RNA作为治疗诱导性衰老的候选液体生物标志物

Cargo profiling of extracellular vesicles from senescent glioblastoma identifies small nucleolar RNAs as candidate liquid biomarkers for therapy-induced senescence

海报缩略图:衰老性胶质母细胞瘤细胞外囊泡的货物分析鉴定小核仁RNA作为治疗诱导性衰老的候选液体生物标志物
编号 6020 展板 21 时间 4/21 02:00–05:00 区域 Section 24 主讲 Valerie DeLuca, BS;PhD
分会场 Senescence and Cell Stress
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作者与单位 Authors & Affiliations

Valerie DeLuca1, Nathaniel Hansen1, Priya Digumarti1, Nanyun Tang1, Karen Fink2, George J. Snipes2, Patrick Pirrotte1, Michael E. Berens1

1TGen (The Translational Genomics Research Institute), Phoenix, AZ,2Baylor Scott & White Medical Center, Dallas, TX

摘要 Abstract

中文摘要
胶质母细胞瘤(GBM)中的治疗诱导性衰老(TIS)是一种不良的细胞命运,会导致GBM治疗耐药和肿瘤复发生长。虽然新兴的靶向衰老药物(称为senotherapy)可能对标准治疗后发生TIS的患者有益,但难以识别具有可观TIS负荷的候选患者。目前测量TIS的方法基于组织,需要反复、连续的活检才能进行可靠分析。因此,对于GBM患者而言此类工作的不切实际性使得有必要开发新颖、创伤较小的方法,以便随时间在临床上检测TIS。为此,我们旨在通过分析GBM细胞外囊泡(EV)内衰老相关的货物变化来鉴定TIS的候选EV液体生物标志物。使用一组GBM患者来源细胞系,我们展示辐射在各GBM模型中诱导TIS,且这与相应衰老来源EV(senEV)中货物的重编程相关。特别是,senEV转录组中衰老相关RNA种类的丰度增加以及衰老相关基因集的富集。然而,最引人注目的是所观察到的小核仁RNA(snoRNA)富集,其占senEV中上调最显著的前20种种类的50%以上。该特征在5个TIS的GBM模型中的4个中得以保留,并通过qRT-PCR得到验证。有趣的是,EV中snoRNA丰度增加并非简单地是细胞含量增加的结果,因为全细胞在TIS后并未显示一致的上调。我们进一步发现snoRNA可能与其伴侣蛋白一起被包装,因为senEV的质谱分析揭示了snoRNA相关蛋白丰度的增加。值得注意的是,一个不导致明显衰老的替莫唑胺诱导应激的GBM模型未能促进snoRNA货物的增加,支持snoRNA富集作为TIS选择性发现。正在进行的工作着重于确定这种senEV特征是否在不同肿瘤类型和衰老诱导刺激中保留,以及TIS期间核仁应激是否在snoRNA的EV包装中发挥机制性作用。最后,为确定在患者生物体液中检测这些候选生物标志物的可行性,我们采用了一个小型患者队列,包括配对的术前和标准治疗后血浆样本。有希望的是,我们在标准治疗后EV中鉴定出衰老相关RNA(如CDKN2B和GLB1)以及snoRNA SNORA49的增加。这些数据表明senEV RNA种类,特别是snoRNA,是TIS生物标志物开发的有力候选者。
查看英文原文 English abstract
Therapy-induced senescence (TIS) in glioblastoma (GBM) is an undesirable cell fate that contributes to GBM treatment resistance and tumor outgrowth. While emerging senescence-targeting drugs called senotherapies may be beneficial for patients who undergo TIS following standard of care, identifying candidate patients with an appreciable TIS burden is difficult. Current methods to measure TIS are tissue based and require repeated, sequential biopsies for robust analysis. The impracticality of such an effort for GBM patients therefore necessitates the development of novel, less-invasive approaches that can detect TIS clinically over time. To this end, we aimed to identify candidate extracellular vesicle (EV) liquid biomarkers for TIS by profiling senescence-associated cargo changes within GBM EVs. Using a panel of GBM patient derived cell lines, we show that radiation induces TIS across GBM models and that this is associated with a reprogramming of the cargo in the corresponding senescent-derived EVs (senEVs). In particular, senEV transcriptomes have an increased abundance of senescence-associated RNA species and enrichment of senescence-associated gene sets. Most striking, however, was the observed enrichment of small nucleolar RNAs (snoRNAs), which represented over 50% of the top 20 most upregulated species in senEVs. This signature was conserved in 4/5 GBM models of TIS and was validated by qRT-PCR. Interestingly, the increased snoRNA abundance in EVs is not a simple function of increased cellular content, as whole cells did not show consistent upregulation upon TIS. We further found that snoRNAs are likely packaged with their partner proteins, as mass spectrometry of senEVs revealed an increased abundance of snoRNA-associating proteins. Notably, a GBM model of temozolomide-induced stress that does not result in prominent senescence failed to promote increased snoRNA cargo, supporting snoRNA enrichment as a TIS-selective finding. Ongoing work is focused on identifying whether this senEV profile is conserved across tumor types and senescence-inducing stimuli, and whether nucleolar stress during TIS plays a mechanistic role in snoRNA EV packaging. Finally, to determine the feasibility of detecting these candidate biomarkers in patient biofluids, we employed a small patient cohort of matched pre-operation and post-standard of care plasma samples. Promisingly, we identified increased senescence-associated RNA such as CDKN2B and GLB1 and the snoRNA SNORA49 in post-standard of care EVs. This data suggests that senEV RNA species, specifically snoRNAs, are strong candidates for TIS biomarker development.
利益披露 Disclosure
V. DeLuca, None.. N. Hansen, None.. P. Digumarti, None.. N. Tang, None.. K. Fink, None.. G. J. Snipes, None.. P. Pirrotte, None.

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