PO.CL01.09 · 临床研究

血浆游离RNA转录组分析揭示胰腺导管腺癌的转录失调与免疫重塑

Plasma cell-free RNA transcriptome analysis reveals transcriptional dysregulation and immune remodeling in pancreatic ductal adenocarcinoma

海报缩略图:血浆游离RNA转录组分析揭示胰腺导管腺癌的转录失调与免疫重塑
编号 3854 展板 15 时间 4/20 02:00–05:00 区域 Section 45 主讲 Gyuryang Park
分会场 Liquid Biopsies: Circulating Nucleic Acids 3
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作者与单位 Authors & Affiliations

Gyuryang Park1, Hyosil Kim2, Tae Young Kim1, Sung Joon Kim1, Jin-Hwa Park1, Baeki E. Kang3, Jung Won Chun1, Sung-Sik Han1, Tae Min Kim3, Sang Myung Woo1

1National Cancer Center - Korea, Goyang-si, Gyeonggi-do, Korea, Republic of,2Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of,3Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of

摘要 Abstract

中文摘要
胰腺导管腺癌(PDAC)是一种高度致死性癌症,原因在于早期检测不佳和频繁的治疗耐药。目前的肿瘤标志物,包括糖类抗原19-9(CA19-9),诊断和预后准确性有限,凸显了对高效生物标志物的需求。游离RNA(cfRNA)在体液中循环,可通过微创方法获取,反映肿瘤和组织特异性的基因表达,在多种癌症类型中作为生物标志物具有强大潜力。简言之,从PDAC患者(n=63)和健康对照(n=8)采集全血样本,随后在cfRNA提取前通过离心分离血浆。使用标准化循环核酸方案分离游离核酸,并通过额外的DNase处理和纯化步骤提高cfRNA纯度。使用低起始量、链特异性RNA测序方法生成互补DNA(cDNA)文库,并在高通量二代测序平台上进行双端测序。cfRNA转录组分析鉴定出541个差异表达基因(校正p < 0.05,|log₂FC| > 1),其中与健康对照相比,PDAC中有496个上调、45个下调。尽管大多数基因与肿瘤分期无关,但一部分基因表现出渐进的、分期依赖性的表达变化。这种在肿瘤各分期间的逐渐升高或降低可能反映肿瘤负荷和疾病进展,提示其作为PDAC进展分子指标的潜力。功能富集分析揭示了与细胞外基质重塑、免疫调节和细胞增殖相关的通路。此外,cfRNA解卷积分析推断出免疫细胞组成的变化。值得注意的是,中性粒细胞比例从健康对照中的约7-9%上升至PDAC各分期的10-15%,而初始CD4 T细胞从约26%显著下降至10-15%,初始B细胞从约13-14%降至5-10%。相比之下,调节性T细胞在PDAC各分期表现出相对增加。总体而言,这些改变反映了PDAC中逐渐偏向免疫抑制特征的免疫格局。这些发现共同表明,cfRNA转录组分析能够捕捉肿瘤来源的转录失调和全身性免疫重塑,凸显其作为PDAC生物标志物来源和纵向监测工具的前景。资助:本研究部分由韩国国家癌症中心资助(No. 2510590)。
查看英文原文 English abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer due to poor early detection and frequent treatment resistance. Current tumor markers, including carbohydrate antigen 19-9 (CA19-9), show limited diagnostic and prognostic accuracy, underscoring the need for efficient biomarkers. Cell-free RNA (cfRNA), which circulates in body fluids and can be obtained through a minimally invasive approach, reflects tumor- and tissue-specific gene expression, offering strong potential as a biomarker across various cancer types. In brief, whole blood samples were collected from PDAC patients (n=63) and healthy controls (n=8), followed by plasma isolation via centrifugation prior to cfRNA extraction. Cell-free nucleic acids were isolated using a standardized circulating nucleic acid protocol, and cfRNA purity was enhanced through additional DNase treatment and a cleanup step. Complementary DNA (cDNA) libraries were generated using a low-input, strand-specific RNA sequencing method and were paired-end sequenced on a high-throughput next-generation sequencing platform.cfRNA transcriptomic analysis identified 541 differentially expressed genes (adjusted p < 0.05, |log₂FC| > 1), of which 496 were upregulated and 45 were downregulated in PDAC compared with healthy controls. Although most genes were not correlated with tumor stage, a subset displayed progressive, stage-dependent expression changes. Such gradual increases or decreases across tumor stages may reflect tumor burden and disease advancement, suggesting their potential as molecular indicators of PDAC progression. Functional enrichment analysis revealed pathways related to extracellular matrix remodeling, immune regulation, and cell proliferation. Additionally, cfRNA deconvolution analysis inferred shifts in immune cell composition. Notably, the proportion of neutrophils increased from approximately 7-9% in healthy controls to 10-15% across PDAC stages, whereas naïve CD4 T cells showed a marked decline from about 26% to 10-15%, and naïve B cells decreased from roughly 13-14% to 5-10%. In contrast, regulatory T cells exhibited a relative increase across PDAC stages. Together, these alterations reflect an immune landscape progressively skewed toward immunosuppressive features in PDAC. These findings collectively suggest cfRNA transcriptomic profiling captures tumor-derived transcriptional dysregulation and systemic immune remodeling, highlighting its promise as a biomarker source and a longitudinal monitoring tool for PDAC. Funding: This work was supported in part by the National Cancer Center, Korea (No. 2510590).
利益披露 Disclosure
G. Park, None.. H. Kim, None.. T. Kim, None.. S. Kim, None.. J. Park, None.. B. Kang, None.. J. Chun, None.. S. Han, None.. T. Kim, None.. S. Woo, None.

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