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循环微小细胞外囊泡 RNA 谱分析用于检测 T1a 期结直肠癌和癌前高级腺瘤。

Circulating small extracellular vesicle RNA profiling for the detection of T1a stage colorectal cancer and precancerous advanced adenoma.

机构信息

Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, State Key Laboratory of Digestive Health, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, China.

Key Laboratory of Bio-inspired Materials and Interfacial Science, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, China.

出版信息

Elife. 2024 Aug 9;12:RP88675. doi: 10.7554/eLife.88675.

Abstract

It takes more than 20 years for normal colorectal mucosa to develop into metastatic carcinoma. The long time window provides a golden opportunity for early detection to terminate the malignant progression. Here, we aim to enable liquid biopsy of T1a stage colorectal cancer (CRC) and precancerous advanced adenoma (AA) by profiling circulating small extracellular vesicle (sEV)-derived RNAs. We exhibited a full RNA landscape for the circulating sEVs isolated from 60 participants. A total of 58,333 annotated RNAs were detected from plasma sEVs, among which 1,615 and 888 sEV-RNAs were found differentially expressed in plasma from T1a stage CRC and AA compared to normal controls (NC). Then we further categorized these sEV-RNAs into six modules by a weighted gene coexpression network analysis and constructed a 60-gene t-SNE model consisting of the top 10 RNAs of each module that could well distinguish T1a stage CRC/AA from NC samples. Some sEV-RNAs were also identified as indicators of specific endoscopic and morphological features of different colorectal lesions. The top-ranked biomarkers were further verified by RT-qPCR, proving that these candidate sEV-RNAs successfully identified T1a stage CRC/AA from NC in another cohort of 124 participants. Finally, we adopted different algorithms to improve the performance of RT-qPCR-based models and successfully constructed an optimized classifier with 79.3% specificity and 99.0% sensitivity. In conclusion, circulating sEVs of T1a stage CRC and AA patients have distinct RNA profiles, which successfully enable the detection of both T1a stage CRC and AA via liquid biopsy.

摘要

正常结直肠黏膜发展为转移性癌需要 20 多年的时间。这段较长的时间窗口为早期检测提供了一个终止恶性进展的黄金机会。在这里,我们旨在通过分析循环中小细胞外囊泡(sEV)衍生的 RNA 来实现 T1a 期结直肠癌(CRC)和癌前高级腺瘤(AA)的液体活检。我们展示了从 60 名参与者中分离出的循环 sEV 的完整 RNA 图谱。从血浆 sEV 中检测到总共 58333 个注释 RNA,其中与正常对照(NC)相比,T1a 期 CRC 和 AA 患者血浆中的 1615 个和 888 个 sEV-RNA 表达差异。然后,我们通过加权基因共表达网络分析将这些 sEV-RNA 进一步分为六个模块,并构建了一个包含每个模块前 10 个 RNA 的 60 个基因 t-SNE 模型,该模型可以很好地区分 T1a 期 CRC/AA 与 NC 样本。一些 sEV-RNA 也被鉴定为不同结直肠病变的特定内镜和形态特征的标志物。顶级生物标志物通过 RT-qPCR 进一步验证,证明这些候选 sEV-RNA 能够成功地从另一个包含 124 名参与者的队列中识别出 T1a 期 CRC/AA。最后,我们采用不同的算法来提高基于 RT-qPCR 的模型的性能,并成功构建了一个具有 79.3%特异性和 99.0%敏感性的优化分类器。总之,T1a 期 CRC 和 AA 患者的循环 sEV 具有独特的 RNA 谱,成功地通过液体活检实现了对 T1a 期 CRC 和 AA 的检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d765/11315448/0ab3a82bd1eb/elife-88675-fig1.jpg

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