摘要
能量代谢异常是肿瘤的基本特征之一。 尽管靶向肿瘤代谢是一项公认的治疗策略,但临床治疗成功取决于准确的
代谢分子分型。 近期研究报道了肿瘤生酮治疗相关的两种代谢亚型:糖酵解型和酮体代谢型,两者表现为完全不同的代谢酶
谱和线粒体功能状态,以及在体外和体内对生酮干预的不同反应。 同时,在 p53 突变的肿瘤中,糖酵解亚型在葡萄糖限制的状
态下可转变为酮体代谢型,随着酮体酶的表达激活及线粒体融合,出现生酮治疗抵抗。 通过联用突变 p53 的变构激活剂,将突
变的 p53 变成野生型的构象,可逆转酮体酶表达激活及线粒体代谢重编,保持稳定的酮体代谢缺陷表型。 基于代谢亚型可以
选择肿瘤生酮治疗的目标人群,通过基因突变状态可预测生酮治疗敏感性,从而建立精准肿瘤代谢调节治疗策略。
Abstract
Abnormal energy metabolism is one of the fundamental features of cancer. Although targeting cancer metabolism is a
promising therapeutic strategy clinical treatment success depends on accurate molecular and metabolic subtyping. Recent studies have
reported two metabolism-based molecular subtypes associated with cancer ketogenic treatment glycolytic glycolysis
+
/ ketolysis
-
and
ketolytic glycolysis
+
/ ketolysis
+
which were manifested by distinct metabolic enzyme profiles and mitochondrial functional states and
by different responses to ketogenic interventions in vitro and in vivo. Notably in p53-mutated tumors the glycolytic subtype was able
to be converted to the ketolytic subtype upon glucose limitation rendering resistance to ketogenic therapy associated with upregulation
of the ketolytic enzyme and mitochondrial fusion process. However the allosteric activator of mutant p53 can effectively block the
rewired molecular expression and the reprogrammed mitochondrial metabolism by conjugating mutant p53 to a wild-type conformation
thus maintaining a stable ketolytic-deficient phenotype. Based on the metabolic subtypes the target population of cancer ketogenic
therapy can be decided and the sensitivity of ketogenic treatment can be predicted by the mutation status thus establishing a strategy
of precise cancer metabolic modulation therapy.
关键词
肿瘤生酮治疗 /
代谢分型 /
糖酵解 /
酮体分解酶 /
p53
Key words
Cancer ketogenic therapy /
Metabolic subtype /
Glycolysis /
Ketolytic enzymes /
p53
1唐 蒙,2周福祥,1丛明华,3石汉平.
基于代谢分型的肿瘤生酮治疗敏感性及机制研究进展[J]. 肿瘤代谢与营养电子杂志. 2023, 10(4): 482-486
1Tang Meng,2 Zhou Fuxiang,1 Cong Minghua,3Shi Hanping.
Advances in the sensitivity and mechanism of tumor ketogenic therapy based on metabolic typing[J]. Electronic Journal of Metabolism and Nutrition of Cancer. 2023, 10(4): 482-486
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}