ReviewBiomedicines2022
Identification of Targetable Liabilities in the Dynamic Metabolic Profile of
Review in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 14 citations in OpenAlex.
- Development of a prognostic model based on seven mitochondrial autophagy- and ferroptosis-related genes in lung adenocarcinoma.BMC medical genomics · 2025Article
- Metabolite biomarkers in lung cancer: unlocking the potential of body fluid analysis for early detection and prognosis-a narrative review.Translational lung cancer research · 2025Review
- Cell Death, Molecular Targeted Therapies, and Metabolic Reprogramming in EGFR-Mutant Lung Cancer.Cancers · 2025Review
- SLC16A3 drives lung adenocarcinoma progression and gefitinib resistance through coordinated regulation of ferroptosis and lactate metabolism.Frontiers in immunology · 2025Article
- Allosteric ligand-driven smart nanoconjugates for mutation-selective EGFR targeting: A precision approach to overcoming tyrosine kinase inhibitor resistance.BioImpacts : BI · 2025Review
- Plasma metabolomic analysis in Thai EGFR-mutated non-small cell lung cancer patients.Computational and structural biotechnology journal · 2025Article
- Targeting of drug-tolerant persister cells as an approach to counter drug resistance in non-small cell lung cancer.Lung cancer (Amsterdam, Netherlands) · 2024Review
- The Role of AKR1B10 in Lung Cancer Malignancy Induced by Sublethal Doses of Chemotherapeutic Drugs.Cancers · 2024Article
- Targeting glucosylceramide synthase induces antiproliferative and proapoptotic effects in osimertinib-resistant NSCLC cell models.Scientific reports · 2024Article
- Piperlongumine in combination with EGFR tyrosine kinase inhibitors for the treatment of lung cancer cells.Oncology research · 2024Article
- Study of Liquid-Based Cytology Using Next-Generation Sequencing as a Liquid Biopsy Application in Patients with Advanced Oncological Disease.Biomedicines · 2023Article
- Tumor cell plasticity in targeted therapy-induced resistance: mechanisms and new strategies.Signal transduction and targeted therapy · 2023Review
- Unlocking phenotypic plasticity provides novel insights for immunity and personalized therapy in lung adenocarcinoma.Frontiers in genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) as first-line treatment in patients with lung adenocarcinoma (LUAD) harboring EGFR-activating mutations has resulted in a dramatic improvement in the management of the disease. However, the long-term clinical benefit is inevitably compromised by multiple resistance mechanisms. Accumulating evidence suggests that metabolic landscape remodeling is one of the mechanisms that EGFR-mutant LUAD cells activate, thus acquiring higher plasticity, tolerating EGFR TKI-mediated cytotoxic stress, and sustaining their oncogenic phenotype. Several metabolic pathways are upregulated in EGFR TKI-resistant models modulating the levels of numerous metabolites such as lipids, carbohydrates, and metabolic enzymes which have been suggested as potential mediators of resistance to EGFR TKIs. Moreover, metabolites have been shown to carry signals and stimulate oncogenic pathways and tumor microenvironment (TME) components such as fibroblasts, facilitating resistance to EGFR TKIs in various ways. Interestingly, metabolic signatures could function as predictive biomarkers of EGFR TKI efficacy, accurately classifying patients with EGFR-mutant LUAD. In this review, we present the identified metabolic rewiring mechanisms and how these act either independently or in concert with epigenetic or TME elements to orchestrate EGFR TKI resistance. Moreover, we discuss potential nutrient dependencies that emerge, highlighting them as candidate druggable metabolic vulnerabilities with already approved drugs which, in combination with EGFR TKIs, might counteract the solid challenge of resistance, hopefully prolonging the clinical benefit.
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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.