Targeting metabolic reprogramming in persister cancer cells: Emerging insights and therapeutic opportunities

ABSTRACT: Persister cancer cells (PCCs) constitute a transient tumor subpopulation that survives anticancer therapy by entering a drug-tolerant state, characterized by enhanced stress resilience and profound metabolic adaptation. Unlike genetically resistant clones, PCCs rely on reversible metabolic adaptations centrally coordinated by mitochondria. This coordination enables a context-dependent metabolic switch between glycolysis and oxidative phosphorylation, augmented fatty acid oxidation, rewired amino acid metabolism, and autophagy-mediated nutrient recycling. Collectively, these adaptations maintain energy and redox homeostasis, allowing PCCs to evade apoptosis and ferroptosis. Critically, these unique metabolic features represent therapeutically exploitable vulnerabilities that can be targeted before the emergence of stable genetic resistance. This review systematically delineates the metabolic plasticity of PCCs across malignancies, emphasizing the role of mitochondria as an integration hub. Furthermore, we discuss emerging strategies to exploit these vulnerabilities, providing a conceptual framework to prevent acquired resistance by targeting metabolic persistence.

Authors

Institutions

Publication Details

Journal
Chinese Medical Journal
Published
2026-09-15
DOI
https://doi.org/10.1097/cm9.0000000000004238
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Targeting metabolic reprogramming in persister cancer cells: Emerging insights and therapeutic opportunities

Jinghong Xian, Jinxing Huang, Chunxiu Xiao, Kai Xiao et al.
Chinese Medical Journal
Ferroptosis and cancer prognosis
article

Targeting metabolic reprogramming in persister cancer cells: Emerging insights and therapeutic opportunities

Jinghong Xian, Jinxing Huang, Chunxiu Xiao, Kai Xiao, Siqi Li
article en

Abstract

ABSTRACT: Persister cancer cells (PCCs) constitute a transient tumor subpopulation that survives anticancer therapy by entering a drug-tolerant state, characterized by enhanced stress resilience and profound metabolic adaptation. Unlike genetically resistant clones, PCCs rely on reversible metabolic adaptations centrally coordinated by mitochondria. This coordination enables a context-dependent metabolic switch between glycolysis and oxidative phosphorylation, augmented fatty acid oxidation, rewired amino acid metabolism, and autophagy-mediated nutrient recycling. Collectively, these adaptations maintain energy and redox homeostasis, allowing PCCs to evade apoptosis and ferroptosis. Critically, these unique metabolic features represent therapeutically exploitable vulnerabilities that can be targeted before the emergence of stable genetic resistance. This review systematically delineates the metabolic plasticity of PCCs across malignancies, emphasizing the role of mitochondria as an integration hub. Furthermore, we discuss emerging strategies to exploit these vulnerabilities, providing a conceptual framework to prevent acquired resistance by targeting metabolic persistence.

Chinese Medical Journal
Chengdu Medical College (CN), Sichuan University (CN), West China Hospital of Sichuan University (CN)
Openalex Percentile: Top 11%
Ferroptosis and cancer prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Targeting metabolic reprogramming in persister cancer cells: Emerging insights and therapeutic opportunities — Jinghong Xian, Jinxing Huang, et al. · Chinese Medical Journal (2026) | TGRS Research Map | TGRS