About this Research Topic
To decipher the sheer complexity and the multi-faceted nature of cancer, systems biology approaches that emphasize the interactions among genes, proteins, metabolites etc. have been developed and applied. Such approaches have successfully created a synergy between theoretical/computational and experimental biology and have led to new discoveries at a rapid pace. In this Research Topic, we will highlight studies that utilize interdisciplinary approaches to elucidate how cancer cells adapt their metabolic activity under selective pressure, how the reprogrammed cancer metabolic activity contributes to cancer emergent properties. We will also cover studies that utilized advanced technologies to investigating the metabolic heterogeneity of cancer at single-cell or sub-cellular resolutions. Studies that investigate immune metabolism and its association with cancer will also be highlighted.
We welcome Original Research, Perspectives, Reviews, Mini-Review articles. The contents covered in this Research Topic include but are not limited to the following subtopics:
1. Using integrated theoretical/computational-experimental approaches to identify new therapeutic strategies that target cancer metabolism.
2. Using integrative “omics” approaches to explore tumor metabolic heterogeneity, clonal evolution, interactions among tumor cells and with their microenvironment, etc.
3. Development of bottom-up (biochemical modeling) or top-down (machine learning) approaches in construction and analysis of cellular networks involved in cancer metabolism and its coupling with other hallmarks of cancer.
4. Single-cell or sub-cellular level analysis of cancer metabolism that reveals novel insights.
5. Elucidate the mutual interactions between cancer metabolism and the change of the tumor immune microenvironment (TIM). For example, effects of autophagy on the changes of TIM, reshaping of TIM by secondary metabolites produced by cancer cells, etc.
6. Analysis of immune cell metabolism and their association with cancer progression, tumor killing efficacy, etc.
7. Bridging the gap between the metabolism and stemness of cancer cells. There are studies showing different subpopulations of breast cancer stem cells (epithelial-like or mesenchymal-like) depend on different metabolism pathways. A rigorous characterization of the metabolic phenotypes of cancer stem cells, and the cause-and-effect between metabolism and stemness would be appreciated.
8. Revealing the mechanisms of how reprogrammed cancer metabolic activity contributes to drug resistance. For example, what is the metabolic characterization of drug-resistance cancer cells? Whether targeting metabolism can attenuate cancer drug-resistance?
Manuscripts consisting solely of bioinformatics, computational analysis, or predictions of public databases that are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) will not be accepted in Frontiers in Oncology. For such manuscripts, please submit through the journal, Frontiers in Genetics - Cancer Genetics and Oncogenomics.
Keywords: Cancer metabolism, Systems biology, Omics, Tumor heterogeneity, Cancer emergent properties, Metastasis, Dormancy, Stemness, Drug-tolerance/resistance, Immune evasion
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.