Mokhtari Zahra, Amjadi Elham, Bolhasani Hamidreza, Faghih Zahra, Dehghanian Amirreza, Rezaei Marzieh
Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Poursina Hakim Digestive Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Data Brief. 2025 Jun 22;61:111817. doi: 10.1016/j.dib.2025.111817. eCollection 2025 Aug.
Colorectal cancer (CRC), the second most common cause of cancer death in the world, can be divided by the location of the primary tumor in the large intestine: right and left colon, and rectum. Based on the location, CRC shows different molecular characteristics, incidence, pathogenesis, and outcome. Considering the importance of immune components in tumor development, analysis of their interactive relationships with tumor cells in the tumor microenvironment (TME) has received more attention. In addition, routine prognosis systems such as TNM classification have low power to predict the clinical outcome of the disease. Accordingly, the identification of immune-related markers in TME might help to predict the prognosis and clinical outcome of the disease. This research aimed to provide a well-organized histopathological microscopy image dataset for best-scoring CRC. The images were taken from tumor tissue sections of patients with CRC, immunohistochemically stained with antibodies specific for CD3, CD8, CD45RO, PD-1, LAG-3, and Tim3. The markers were separately determined in the tumor's invasive margin and center. The dataset is named CRC-ICM and contains 1,756 images from 136 patients with CRC. It also contains comprehensive information on the clinicopathological characteristics of the patients, with a special focus on the tumor side (right and left). It includes an Excel file describing the patient's demographic, anatomical features, and histopathological grade. The initial version of CRC-ICM is published on the Elsevier Mendeley dataset portal, and the latest version is accessible at: https://databiox.com.
结直肠癌（CRC）是全球第二大常见癌症死亡原因，可根据原发肿瘤在大肠中的位置进行划分：右半结肠、左半结肠和直肠。基于位置，结直肠癌表现出不同的分子特征、发病率、发病机制和预后。考虑到免疫成分在肿瘤发展中的重要性，分析其与肿瘤微环境（TME）中肿瘤细胞的相互作用关系受到了更多关注。此外，常规预后系统如TNM分类预测该疾病临床结局的能力较低。因此，识别肿瘤微环境中与免疫相关的标志物可能有助于预测该疾病的预后和临床结局。本研究旨在为评分最高的结直肠癌提供一个组织良好的组织病理学显微镜图像数据集。这些图像取自结直肠癌患者的肿瘤组织切片，用针对CD3、CD8、CD45RO、PD-1·、LAG-3和Tim3的特异性抗体进行免疫组织化学染色。这些标志物在肿瘤的浸润边缘和中心分别测定。该数据集名为CRC-ICM，包含来自136例结直肠癌患者的1756张图像。它还包含患者临床病理特征的综合信息，特别关注肿瘤部位（右侧和左侧）。它包括一个Excel文件，描述患者的人口统计学、解剖学特征和组织病理学分级。CRC-ICM的初始版本发表在爱思唯尔Mendeley数据集门户上，最新版本可在以下网址获取：https://databiox.com 。
