单细胞溶解癌基因共表达：从原理到临床影响。
IF 11.5
Q1 HEMATOLOGY
引用次数: 0
摘要
这篇评论探讨了在单细胞分辨率下研究癌基因共表达的概念和效用及其临床和生物学意义。我们强调可扩展方法、数学驱动的量化模型和人工智能集成的重要性，以提高该方法的临床实用性。本文章由计算机程序翻译，如有差异，请以英文原文为准。
Single-Cell Resolved Oncogene Co-expression: From Principles to Clinical Impact.
This commentary explores the concept and utility of studying oncogene co-expression at single-cell resolution and its clinical and biological implications. We emphasize the importance of scalable methods, mathematically driven quantification models, and artificial intelligence integration to enhance the clinical utility of this approach.
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来源期刊
Blood Cancer Discovery
Multiple-
CiteScore
12.70
自引率
1.80%
发文量
139
期刊介绍：
The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes.
The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence.
Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.
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