Colorectal Cancer Immune Cell Markers Dataset v1 (CRC-ICM-v1)
Description
CRC-ICM-v1 dataset contains clinical data, histopathological and immune cell markers images of 136 CRC patients. This dataset is a collaboration of different research groups. For more information you can visit this website: https://gi-ribon.com Colorectal cancer (CRC) is the second most common cause of cancer death in the world, and can be identified by the location of the primary tumor in the large intestine: right and left colon, and rectum. Based on the location, CRC shows differences in chromosomal and molecular characteristics, microbiomes, incidence, pathogenesis, and outcome. It has been shown that tumors on the left and right sides also have different immune landscapes, so the prognosis may be different based on primary tumor locations. It is widely accepted that the immune components of the tumor microenvironment (TME) play a critical role in tumor development. Accordingly, analyses of the interactive relationships between tumor cells and the immune system components in the TME have received more attention, while routine grading system such as TNM classification does not have the power to predict the clinical outcome of the disease. Therefore, the identification of immune-related markers in TME might help to predict the prognosis and clinical outcome of the disease. One of the critical regulatory molecules in the TME is immune checkpoints that as the gatekeepers of immune responses regulate the infiltrated immune cell functions. Inhibitory immune checkpoints such as PD-1, Tim3, and LAG3 as the main mechanism of immune suppression in TME overexpressed and result in further development of the tumor. Therefore, this research aimed at providing a well-organized histopathological microscopy image dataset for best-scoring colorectal cancer. For this purpose, the images have been taken from colon tissues of patients with colorectal cancer stained with specific antibodies for CD3, CD8, CD45RO, PD-1, LAG-3, and Tim3 and separately determined in both invasive margin and center of tumor for each marker. Moreover, the present data set contains comprehensive information on the clinicopathological characteristics of the patients, focusing on the location of the tumor, separating the right and left and the rectum.