ReviewCellular and molecular life sciences : CMLS2026
Lung cancer metabolism: a dynamic and adaptive network.
Review in Cellular and molecular life sciences : CMLS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
2 authors.
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Abstract
Lung cancer remains the leading cause of cancer-related mortality worldwide. Although substantial progress has been made in defining the genetic, epigenetic, and molecular drivers of this heterogeneous disease, metabolic reprogramming has only recently emerged as a major determinant of tumour progression and therapeutic response. Cumulative evidence demonstrates that rather than relying on a single nutrient source or pathway, cancer cells integrate glucose and glutamine, fatty acid and one-carbon metabolism, as well as nucleotide biosynthesis, and redox-supporting circuits in a highly context-dependent manner. These programs vary across histological and molecular subtypes, reflecting the influence of lineage identity and oncogenic state on metabolic organisation. In both non-small cell lung cancer and small cell lung cancer, subtype-specific constraints shape distinct metabolic states, yet a common feature is the ability to rapidly shift between alternative nutrients and biosynthetic routes. This adaptability supports continued growth under nutrient limitation, maintains redox homeostasis, and contributes to resistance against conventional and targeted therapies. By summarising current mechanistic evidence, this review presents lung cancer metabolism as an integrated and adaptable system rather than a collection of isolated pathways, and identifies metabolic dependencies that may be leveraged for therapeutic intervention.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.