Machine learning and single-cell RNA sequencing reveal relationship between intratumor CD8+ T cells and uveal melanoma metastasis

• Published in: Cancer cell international Vol. 24; no. 1; pp. 359 - 17
• Main Authors: Chen, Shuming, Tang, Zichun, Wan, Qiaoqian, Huang, Weidi, Li, Xie, Huang, Xixuan, Zheng, Shuyan, Lu, Caiyang, Wu, Jinzheng, Li, Zhuo, Liu, Xiao
• Format: Journal Article
• Language: English
• Published: England BioMed Central 30.10.2024; BMC
• Subjects: Accuracy; Biotechnology; CD8 antigen; Cell culture; Cell interactions; Cell migration; Cells; Cytotoxicity; Datasets; Gene expression; Genetic testing; Immune microenvironment; Immunotherapy; Learning algorithms; Lymphocytes T; Machine learning; Medical prognosis; Melanoma; Metastases; Metastasis; Patients; Prognosis; Prognostic models; Regression analysis; Ribonucleic acid; Risk groups; RNA; Survival analysis; Transcriptomes; Transcriptomics; Tumor microenvironment; Tumors; Tumour metastasis; Uveal melanoma; Beijing China; United States > US; China; Immune microenvironment; Uveal melanoma; Tumour metastasis; Prognostic models

Uveal melanoma (UM) is adults' most common primary intraocular malignant tumor. It has been observed that 40% of patients experience distant metastasis during subsequent treatment. While there exist multigene models developed using machine learning methods to assess metastasis and prognosis, th...