Zhang Feiran, Cheng Jianing, Peng Xu, Zhang Chengbin, Qu Limei, Zhang Songling, Zhang Junhu, Zhu Shoujun
Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun 130021, P. R. China.
State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P. R. China.
Theranostics. 2025 Jan 6;15(5):2052-2068. doi: 10.7150/thno.105500. eCollection 2025.
Solid tissue biopsy is fundamental in guiding surgeons during intraoperative and peri-operative management of cancer patients. However, conventional histopathologic methods depend heavily on the expertise of trained pathologists, facing challenges in accuracy and efficiency. Here, we show that unbiased labeling of proteins within tissue sections using tumor-selective dyes enhances tumor-specific signals, enabling robust and accurate differentiation of tumors from normal tissues in less than 45 min. This diagnostic approach combines a tumor-selective dye labeling strategy and a three-dimensional (3D) histological electrophoresis separation strategy to visualize protein differences between tissues and exclude off-target interference. We successfully diagnose and delineate malignant tissue from frozen and fresh surgical specimens from 34 patients across six types of cancer (mean AUC = 0.93). Furthermore, we apply this method to distinguish different histological characteristics in liver cancer surgical specimens, as well as identify and quantify the degree of inflammation in tumor-surrounding tissues. This rapid, accurate, unbiased, and marker-free approach may enhance intraoperative detection of multiple types of tumor specimens.
实体组织活检对于指导外科医生对癌症患者进行术中及围手术期管理至关重要。然而,传统的组织病理学方法严重依赖训练有素的病理学家的专业知识,在准确性和效率方面面临挑战。在此,我们表明,使用肿瘤选择性染料对组织切片内的蛋白质进行无偏标记可增强肿瘤特异性信号,从而在不到45分钟的时间内实现肿瘤与正常组织的稳健且准确的区分。这种诊断方法结合了肿瘤选择性染料标记策略和三维(3D)组织学电泳分离策略,以可视化组织之间的蛋白质差异并排除非靶向干扰。我们成功地从34例六种癌症类型的冷冻和新鲜手术标本中诊断并勾勒出恶性组织(平均AUC = 0.93)。此外,我们应用该方法区分肝癌手术标本中的不同组织学特征,以及识别和量化肿瘤周围组织中的炎症程度。这种快速、准确、无偏且无标记的方法可能会增强术中对多种类型肿瘤标本的检测。