Profiling of Tumor Cell-Delivered Exosome by Surface Enhanced Raman Spectroscopy-Based Biosensor for Evaluation of Nasopharyngeal Cancer Radioresistance
Profiling of Tumor Cell-Delivered Exosome by Surface Enhanced Raman Spectroscopy-Based Biosensor for Evaluation of Nasopharyngeal Cancer Radioresistance
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DOI：
10.1002/adhm.202202482
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发表时间：
2022-12-25
影响因子：
10
通讯作者：
Lin，Duo
中科院分区：
文献类型：
--
作者：
Wu，Qiong;Ding，Qin;Lin，Duo
尽管放疗技术的进步显著提高了鼻咽癌（NPC）的生存率，但与复发和预后不良相关的放疗耐药仍然是临床面临的严峻挑战。目前，尚未建立有效的生物标志物和简便的检测方法来预测辐射耐药。在这里，表面增强拉曼光谱结合蛋白质组学首先分析了自建立的鼻咽癌放射抗性细胞分泌的外泌体的特征光谱模式，并揭示了放射抗性形成过程中蛋白质表达的特定变化。包括胶原α - 2 (I)链（COL1A2），该链与鼻咽癌的良好预后相关，并通过生物信息学分析与DNA修复评分和DNA修复相关基因负相关。此外，建立了基于深度学习模型的诊断模型，以准确识别放射耐药组的外泌体。这项工作证明了外泌体作为预测放射耐药的新型生物标志物的潜力，并开发了一种快速灵敏的液体活检方法，将为临床鼻咽癌治疗提供个性化和精确的策略。
Although the advancement of radiotherapy significantly improves the survival of nasopharyngeal cancer (NPC), radioresistance associated with recurrence and poor outcomes still remains a daunting challenge in the clinical scenario. Currently, effective biomarkers and convenient detection methods for predicting radioresistance have not been well established. Here, the surface‐enhanced Raman spectroscopy combined with proteomics is used to firstly profile the characteristic spectral patterns of exosomes secreted from self‐established NPC radioresistance cells, and reveals specific variations of proteins expression during radioresistance formation, including collagen alpha‐2 (I) chain (COL1A2) that is associated with a favorable prognosis in NPC and is negatively associated with DNA repair scores and DNA repair‐related genes via bioinformatic analysis. Furthermore, deep learning model‐based diagnostic model is generated to accurately identify the exosomes from radioresistance group. This work demonstrates the promising potential of exosomes as a novel biomarker for predicting the radioresistance and develops a rapid and sensitive liquid biopsy method that will provide a personalized and precise strategy for clinical NPC treatment.