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局部进展期直肠癌患者血浆来源的小细胞外囊泡的表征和蛋白质组学分析。

Characterization and proteomic analysis of plasma-derived small extracellular vesicles in locally advanced rectal cancer patients.

机构信息

Department of Radiation Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China), The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for CANCER, Cancer Center of Zhejiang University, Hangzhou, Zhejiang, China.

出版信息

Cell Oncol (Dordr). 2024 Oct;47(5):1995-2009. doi: 10.1007/s13402-024-00983-1. Epub 2024 Aug 20.

Abstract

BACKGROUND

Neoadjuvant chemoradiotherapy (nCRT) stands as a pivotal therapeutic approach for locally advanced rectal cancer (LARC), yet the absence of a reliable biomarker to forecast its efficacy remains a challenge. Thus, this study aimed to assess whether the proteomic compositions of small extracellular vesicles (sEVs) might offer predictive insights into nCRT response among patients with LARC, while also delving into the proteomic alterations within sEVs post nCRT.

METHODS

Plasma samples were obtained from LARC patients both pre- and post-nCRT. Plasma-derived sEVs were isolated utilizing the TIO-based method, followed by LC-MS/MS-based proteomic analysis. Subsequently, pathway enrichment analysis was performed to the Differentially Expressed Proteins (DEPs). Additionally, ROC curves were generated to evaluate the predictive potential of sEV proteins in determining nCRT response. Public databases were interrogated to identify sEV protein-associated genes that are correlated with the response to nCRT in LARC.

RESULTS

A total of 16 patients were enrolled. Among them, 8 patients achieved a pathological complete response (good responders, GR), while the remaining 8 did not achieve a complete response (poor responders, PR). Our analysis of pretreatment plasma-derived sEVs revealed 67 significantly up-regulated DEPs and 9 significantly down-regulated DEPs. Notably, PROC (AUC: 0.922), F7 (AUC: 0.953) and AZU1 (AUC: 0.906) demonstrated high AUC values and significant differences (P value < 0.05) in discriminating between GR and PR patients. Furthermore, a signature consisting of 5 sEV protein-associated genes (S100A6, ENO1, MIF, PRDX6 and MYL6) was capable of predicting the response to nCRT, yielding an AUC of 0.621(95% CI: 0.454-0.788). Besides, this 5-sEV protein-associated gene signature enabled stratification of patients into low- and high-risk group, with the low-risk group demonstrating a longer overall survival in the testing set (P = 0.048). Moreover, our investigation identified 11 significantly up-regulated DEPs and 31 significantly down-regulated DEPs when comparing pre- and post-nCRT proteomic profiles. GO analysis unveiled enrichment in the regulation of phospholipase A2 activity.

CONCLUSIONS

Differential expression of sEV proteins distinguishes between GR and PR patients and holds promise as predictive markers for nCRT response and prognosis in patients with LARC. Furthermore, our findings highlight substantial alterations in sEV protein composition following nCRT.

摘要

背景

新辅助放化疗(nCRT)是局部晚期直肠癌(LARC)的重要治疗方法,但缺乏可靠的生物标志物来预测其疗效仍然是一个挑战。因此,本研究旨在评估小细胞外囊泡(sEVs)的蛋白质组组成是否可以为 LARC 患者的 nCRT 反应提供预测性见解,同时深入研究 nCRT 后 sEV 内的蛋白质组变化。

方法

从接受 nCRT 的 LARC 患者中获取治疗前后的血浆样本。使用基于 TIO 的方法分离血浆衍生的 sEVs,然后进行基于 LC-MS/MS 的蛋白质组分析。随后,对差异表达蛋白(DEPs)进行通路富集分析。此外,生成 ROC 曲线以评估 sEV 蛋白在确定 nCRT 反应中的预测潜力。查询公共数据库以鉴定与 LARC 中 nCRT 反应相关的 sEV 蛋白相关基因。

结果

共纳入 16 名患者。其中,8 名患者达到病理完全缓解(良好反应者,GR),而其余 8 名患者未达到完全缓解(不良反应者,PR)。我们对治疗前血浆衍生的 sEVs 的分析显示 67 个明显上调的 DEPs 和 9 个明显下调的 DEPs。值得注意的是,PROC(AUC:0.922)、F7(AUC:0.953)和 AZU1(AUC:0.906)在区分 GR 和 PR 患者方面表现出高 AUC 值和显著差异(P 值<0.05)。此外,由 5 个 sEV 蛋白相关基因(S100A6、ENO1、MIF、PRDX6 和 MYL6)组成的特征能够预测 nCRT 的反应,AUC 为 0.621(95%CI:0.454-0.788)。此外,该 5-sEV 蛋白相关基因特征能够将患者分为低风险和高风险组,低风险组在测试集中的总生存期更长(P=0.048)。此外,我们的研究发现,在比较 nCRT 前后的蛋白质组图谱时,有 11 个明显上调的 DEPs 和 31 个明显下调的 DEPs。GO 分析显示,磷脂酶 A2 活性调节的富集。

结论

sEV 蛋白的差异表达可区分 GR 和 PR 患者,并有望成为预测 LARC 患者 nCRT 反应和预后的标志物。此外,我们的研究结果表明,nCRT 后 sEV 蛋白组成发生了实质性变化。

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