Guest Editors
Prof. Dr. Zhongchuan Wang,
Department of Anal and Intestinal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, China
Prof. Dr. Dong Tang,
Department of General Surgery, Institute of General Surgery, Northern Jiangsu Province Hospital, Clinical Medical College, Yangzhou University, China
Summary
Cancers are one of the major challenges in today's global public health system. It is difficult to attribute its origin to a particular hypothesis. Among them, the inflammation-cancer transition hypothesis has been a hot research topic among clinical and basic scientists, with the intention of revealing the intricate link between chronic inflammatory processes and the progression of malignant tumours. The inflammatory microenvironment provides a powerful driving force for the shaping of the tumor microenvironment. Inflammation-cancer transition not only encompasses complex cellular interactions, molecular mechanisms, and immune regulation, but is also accompanied by dynamic changes in disease phenotype and function. Therefore, there is an urgent need to identify the complex mechanisms involved in the transition from inflammatory conditions to cancer, and to elucidate the key factors influencing this transition, as well as the implications for disease progression and therapeutic strategies. The aim of this topic is to identify molecular markers related to inflammatory-cancer transition from different perspectives, to explore the molecular mechanisms of inflammation-cancer transition, and the application of related technologies or products in disease diagnosis or treatment, so as to provide new strategies for the treatment of inflammatory or cancerous conditions. We welcome, but are not limited to, manuscripts in the fields of inflammation, cancer, high-throughput sequencing, microbiota-related technologies, drug discovery, and other related fields.
Keywords
inflammation, cancer, high-throughput sequencing, microbiota-related technologies, drug discovery, inflammatory factor, transcription factor, multi-omics analysis, bioinformatics
Published Papers
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