ArticleMolecular cancer research : MCR2023
Metabolic Imaging as a Tool to Characterize Chemoresistance and Guide Therapy in Triple-Negative Breast Cancer (TNBC).
Article in Molecular cancer research : MCR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Collagen gene expression profiles predict recurrence and progression of DCIS to IDC.Scientific reports · 2026Article
- Robust Rapid Cellular Metabolite Sensing Using Benchtop NMR and SABRE-Hyperpolarized [1-Analytical chemistry · 2026Article
- In vivo imaging of metabolic heterogeneity across three endpoints relevant to aggressive breast cancer.PNAS nexus · 2026Article
- Resistance to neoadjuvant chemotherapy in breast cancers: a metabolic perspective.Journal of experimental & clinical cancer research : CR · 2025Review
- Machine learning-enhanced discovery of tsRNA-mRNA regulatory networks: identifying novel diagnostic biomarkers and therapeutic targets in breast cancer.Frontiers in pharmacology · 2025Article
- Quantifying Spatiotemporal Heterogeneity of Tumor Metabolism and Vasculature with a Multiparametric Point-of-Investigation Microscope.BME frontiers · 2025Article
- Challenges in Metabolite Biomarkers as Avenues of Diagnosis and Prognosis of Cancer.Journal of cancer prevention · 2024Article
- Article
- Fast autofluorescence imaging to evaluate dynamic changes in cell metabolism.Journal of biomedical optics · 2024Article
- Optical imaging reveals chemotherapy-induced metabolic reprogramming of residual disease and recurrence.Science advances · 2024Article
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Authors and funding
5 authors.
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Abstract
After an initial response to chemotherapy, tumor relapse is frequent. This event is reflective of both the spatiotemporal heterogeneities of the tumor microenvironment as well as the evolutionary propensity of cancer cell populations to adapt to variable conditions. Because the cause of this adaptation could be genetic or epigenetic, studying phenotypic properties such as tumor metabolism is useful as it reflects molecular, cellular, and tissue-level dynamics. In triple-negative breast cancer (TNBC), the characteristic metabolic phenotype is a highly fermentative state. However, during treatment, the spatial and temporal dynamics of the metabolic landscape are highly unstable, with surviving populations taking on a variety of metabolic states. Thus, longitudinally imaging tumor metabolism provides a promising approach to inform therapeutic strategies, and to monitor treatment responses to understand and mitigate recurrence. Here we summarize some examples of the metabolic plasticity reported in TNBC following chemotherapy and review the current metabolic imaging techniques available in monitoring chemotherapy responses clinically and preclinically. The ensemble of imaging technologies we describe has distinct attributes that make them uniquely suited for a particular length scale, biological model, and/or features that can be captured. We focus on TNBC to highlight the potential of each of these technological advances in understanding evolution-based therapeutic resistance.
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