Lanzetti Letizia
Department of Oncology, University of Turin Medical School, Turin, Italy.
Candiolo Cancer Institute, FPO-IRCCS, Str. Provinciale 142 km 3.95, 10060, Candiolo, Turin, Italy.
Cell Death Differ. 2024 Dec;31(12):1582-1594. doi: 10.1038/s41418-024-01402-6. Epub 2024 Oct 23.
By the time a tumor reaches clinical detectability, it contains around 10-10 cells. However, during tumor formation, significant cell loss occurs due to cell death. In some estimates, it could take up to a thousand cell generations, over a ~ 20-year life-span of a tumor, to reach clinical detectability, which would correspond to a "theoretical" generation of ~10 cells. These rough calculations indicate that cancers are under negative selection. The fact that they thrive implies that they "evolve", and that their evolutionary trajectories are shaped by the pressure of the environment. Evolvability of a cancer is a function of its heterogeneity, which could be at the genetic, epigenetic, and ecological/microenvironmental levels [1]. These principles were summarized in a proposed classification in which Evo (evolutionary) and Eco (ecological) indexes are used to label cancers [1]. The Evo index addresses cancer cell-autonomous heterogeneity (genetic/epigenetic). The Eco index describes the ecological landscape (non-cell-autonomous) in terms of hazards to cancer survival and resources available. The reciprocal influence of Evo and Eco components is critical, as it can trigger self-sustaining loops that shape cancer evolvability [2]. Among the various hallmarks of cancer [3], metabolic alterations appear unique in that they intersect with both Evo and Eco components. This is partly because altered metabolism leads to the accumulation of oncometabolites. These oncometabolites have traditionally been viewed as mediators of non-cell-autonomous alterations in the cancer microenvironment. However, they are now increasingly recognized as inducers of genetic and epigenetic modifications. Thus, oncometabolites are uniquely positioned at the crossroads of genetic, epigenetic and ecological alterations in cancer. In this review, the mechanisms of action of oncometabolites will be summarized, together with their roles in the Evo and Eco phenotypic components of cancer evolvability. An evolutionary perspective of the impact of oncometabolites on the natural history of cancer will be presented.
当肿瘤发展到临床可检测阶段时,其包含约10¹⁰个细胞。然而,在肿瘤形成过程中,由于细胞死亡会发生显著的细胞损失。据一些估计,在肿瘤约20年的生命周期内,可能需要多达一千个细胞世代才能发展到临床可检测阶段,这相当于“理论上”约10个细胞的世代。这些粗略计算表明癌症处于负选择之下。它们能够发展壮大这一事实意味着它们在“进化”,并且其进化轨迹受到环境压力的塑造。癌症的进化能力是其异质性的函数,这种异质性可能存在于基因、表观遗传以及生态/微环境层面[1]。这些原理被总结在一个提议的分类中,其中使用进化(Evo)和生态(Eco)指标来对癌症进行分类[1]。Evo指标涉及癌细胞自主异质性(基因/表观遗传)。Eco指标从癌症生存的危险因素和可用资源方面描述生态格局(非细胞自主)。Evo和Eco成分的相互影响至关重要,因为它可以触发塑造癌症进化能力的自我维持循环[2]。在癌症的各种特征[3]中,代谢改变显得独特,因为它们与Evo和Eco成分都有交集。部分原因是代谢改变会导致肿瘤代谢物的积累。传统上,这些肿瘤代谢物被视为癌症微环境中非细胞自主改变的介质。然而,它们现在越来越被认为是基因和表观遗传修饰的诱导剂。因此,肿瘤代谢物独特地处于癌症中基因、表观遗传和生态改变的交叉点。在本综述中,并将总结肿瘤代谢物的作用机制,以及它们在癌症进化能力的Evo和Eco表型成分中的作用。还将呈现肿瘤代谢物对癌症自然史影响的进化视角。