ReviewMolecular cancer2016
Imaging metabolic heterogeneity in cancer.
Review in Molecular cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 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.
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Who cites it
46 citing papers in PubMed.
- Cancer Evolvability Determines Therapy Outcomes.bioRxiv : the preprint server for biology · 2026Article
- The return of metabolism: biochemistry and physiology of glycolysis.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Informed spatially aware patterns for multiplexed immunofluorescence data.Scientific reports · 2026Article
- Deuterium-oxide-assisted stimulated Raman scattering microscopy: metabolic imaging for precision medicine.Biophotonics discovery · 2025Review
- In vivo imaging of the spatial heterogeneity of intratumoral acidosis (pH) as a marker of the metastatic phenotype in breast cancer.Breast cancer research : BCR · 2025Article
- Tumor heterogeneity in retinoblastoma: a literature review.Cancer metastasis reviews · 2025Review
- E6AP is essential for the proliferation of HPV-positive cancer cells by preventing senescence.PLoS pathogens · 2025Article
- Article
- Detection and characterization of colorectal cancer by autofluorescence lifetime imaging on surgical specimens.Scientific reports · 2024Article
- Insights into metabolic heterogeneity of colorectal cancer gained from fluorescence lifetime imaging.eLife · 2024Article
- Enhancement of Acetate-Induced Apoptosis of Colorectal Cancer Cells by Cathepsin D Inhibition Depends on Oligomycin A-Sensitive Respiration.Biomolecules · 2024Article
- Optical imaging reveals chemotherapy-induced metabolic reprogramming of residual disease and recurrence.Science advances · 2024Article
- Article
- Application and development of Deuterium Metabolic Imaging in tumor glucose metabolism: visualization of different metabolic pathways.Frontiers in oncology · 2023Review
- Immune cell metabolism and metabolic reprogramming.Molecular biology reports · 2022Review
- Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients withDiagnostics (Basel, Switzerland) · 2022Article
- Breast Tumor Classification Using Intratumoral Quantitative Ultrasound Descriptors.Computational and mathematical methods in medicine · 2022Article
- Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients.Frontiers in immunology · 2022Article
- The role of metabolic ecosystem in cancer progression - metabolic plasticity and mTOR hyperactivity in tumor tissues.Cancer metastasis reviews · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
As our knowledge of cancer metabolism has increased, it has become apparent that cancer metabolic processes are extremely heterogeneous. The reasons behind this heterogeneity include genetic diversity, the existence of multiple and redundant metabolic pathways, altered microenvironmental conditions, and so on. As a result, methods in the clinic and beyond have been developed in order to image and study tumor metabolism in the in vivo and in vitro regimes. Both regimes provide unique advantages and challenges, and may be used to provide a picture of tumor metabolic heterogeneity that is spatially and temporally comprehensive. Taken together, these methods may hold the key to appropriate cancer diagnoses and treatments in the future.
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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.