Guest Editors
Dr. Qi Zhang
Email: zhang.qi@yale.edu
Affiliation: Department of Genetics, Yale School of Medicine,New Haven, CT 06510, United States
Homepage:
Research Interests: Malnutrition, Genetic, Metabolism
Dr. Zhengrui Li
Email: lzr_0108@sjtu.edu.cn
Affiliation: School of Medicine, Shanghai Jiao Tong University, Shanghai 20000, China.
Homepage:
Research Interests: Tumor Microenvironment, Cancer Microbiome, Gentic
Dr. Qi Wang
Email: drwang71111@sjtu.edu.cn
Affiliation: Ruijin Hospital, Shanghai JiaoTong University, China
Homepage:
Research Interests: Tumor Microenvironment, Multi-omics, Metabolic Heterogeneity
Summary
Tumor metabolic reprogramming is now recognized as a defining hallmark of cancer, driving malignant progression, therapeutic resistance and immune evasion. Yet, recent studies reveal that these metabolic adaptations are not monolithic: they vary markedly between tumor types, evolve over the course of disease and even coexist in distinct subpopulations within a single lesion. Such metabolic heterogeneity not only underlies the failure of one‐size‐fits‐all treatments but also creates unique vulnerabilities that can be exploited for patient‐tailored interventions.
This Special Issue seeks to deepen our understanding of cancer metabolic diversity by inviting contributions that unravel its molecular drivers, delineate context‐specific metabolic phenotypes and identify robust biomarkers for stratification. We particularly encourage studies employing integrative multi‐omics technologies, spatially resolved metabolomic profiling and advanced computational modeling to map the dynamic metabolic landscape of tumors. In addition, translational research that bridges bench to bedside—such as the preclinical validation of metabolism‐targeted agents, companion diagnostics and predictive algorithms—is highly welcomed.
By illuminating the mechanisms and clinical implications of metabolic heterogeneity, this collection aims to pave the way toward more precise, effective and durable cancer therapies.
Keywords
cancer metabolic heterogeneity, tumor metabolism and therapy resistance, metabolic plasticity, warburg effect and beyond, spatial metabolomics, multi-omics integration, immune-metabolism interactions, metabolic biomarkers, metabolism-targeted therapies, personalized oncology
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