Intratumoral metabolic heterogeneity of colorectal cancer

表型 生物 氧化磷酸化 结直肠癌 糖酵解 肿瘤微环境 癌症 背景(考古学) 瓦博格效应 代谢途径 肿瘤进展 厌氧糖酵解 癌症研究 癌细胞 生物信息学 新陈代谢 遗传学 生物化学 内分泌学 基因 古生物学
作者
Yoshinobu Hirose,Kohei Taniguchi
出处
期刊:American Journal of Physiology-cell Physiology [American Physical Society]
卷期号:325 (4): C1073-C1084 被引量:4
标识
DOI:10.1152/ajpcell.00139.2021
摘要

Although the metabolic phenotype within tumors is known to differ significantly from that of the surrounding normal tissue, the importance of this heterogeneity is just becoming widely recognized. Colorectal cancer (CRC) is often classified as the Warburg phenotype, a metabolic type in which the glycolytic system is predominant over oxidative phosphorylation (OXPHOS) in mitochondria for energy production. However, this dichotomy (glycolysis vs. OXPHOS) may be too simplistic and not accurately represent the metabolic characteristics of CRC. Therefore, in this review, we decompose metabolic phenomena into factors based on their source/origin and reclassify them into two categories: extrinsic and intrinsic. In the CRC context, extrinsic factors include those based on the environment, such as hypoxia, nutrient deprivation, and the tumor microenvironment, whereas intrinsic factors include those based on subpopulations, such as pathological subtypes and cancer stem cells. These factors form multiple layers inside and outside the tumor, affecting them additively, dominantly, or mutually exclusively. Consequently, the metabolic phenotype is a heterogeneous and fluid phenomenon reflecting the spatial distribution and temporal continuity of these factors. This allowed us to redefine the characteristics of specific metabolism-related factors in CRC and summarize and update our accumulated knowledge of their heterogeneity. Furthermore, we positioned tumor budding in CRC as an intrinsic factor and a novel form of metabolic heterogeneity, and predicted its metabolic dynamics, noting its similarity to circulating tumor cells and epithelial-mesenchymal transition. Finally, the possibilities and limitations of using human tumor tissue as research material to investigate and assess metabolic heterogeneity are discussed.
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