Submission Deadline: 30 September 2024
For more detail: https://www.techscience.com/or/special_detail/tumor-metabolism
Summary
Metabolism refers to the unique biochemical processes that sustain life in an organism. In cancer cells, predominant biological processes include glycolysis, reduced oxidative phosphorylation, promotion of apoptosis and cell death, and increased synthesis of metabolite intermediates essential for cell proliferation, migration, and death. These metabolic properties lead to changes in the tumor microenvironment.
Transcriptomics studies the total RNA (mRNAs and non-coding RNAs) transcribed from a specific cancer cell in a particular functional state. As the size of transcriptome datasets continues to increase regarding tumor biology, there is a growing demand for computational and analytical methods. At present, countless public datasets available online allow researchers to have a comprehensive view on aging and related disorders. Microarray or sequencing of mRNA, ncRNA, or m6A provides informative clues for delineating biological progresses. Multi-omics analysis, including genomics, proteomics, and matrix omics et al., helps providing a comprehensive view of different processes. Single-cell methods further make it attainable to chart genome, transcriptome, and proteome at single-cell resolution. Furthermore, the advancement in algorithm boosts the reports of novel findings from existed data, and large public health databases, such as NHANES or Seer, further helps unveil the risk factors in real world.
The above data allows the possibility for the detection of tumor biology, novel targets, and evaluation of therapeutic effectiveness. This thematic collection aims to provide a comprehensive overview of the latest research advances in cancer metabolism through integrative analyses. We welcome research articles, reviews, perspectives, commentaries, and clinical trials that discuss both basic and translational research as well as therapeutic perspectives in cancer from the view of metabolism.
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