ReviewNature reviews. Clinical oncology2016
Non-invasive metabolic imaging of brain tumours in the era of precision medicine.
Review in Nature reviews. Clinical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
66 citing papers in PubMed, 2 syntheses or guidelines pooled it, 117 citations in OpenAlex.
- Advancements in broadband near-infrared spectroscopy instrumentation for the assessment ofJournal of biomedical optics · 2025Pooled it
- IDH mutation, glioma immunogenicity, and therapeutic challenge of primary mismatch repair deficient IDH-mutant astrocytoma PMMRDIA: a systematic review.Molecular oncology · 2024Pooled it
- 1p/19q codeletion induces targetable and imageable vulnerabilities in glucose metabolism in oligodendrogliomas.Neuro-oncology · 2026Article
- Dynamic deuterium metabolic imaging in glioblastoma at 7T.Magma (New York, N.Y.) · 2026Article
- Precision Diffusion-Weighted Imaging of Head and Neck Squamous Cell Carcinoma.AJNR. American journal of neuroradiology · 2026Article
- Lactylation fuels nucleotide biosynthesis and facilitates deuterium metabolic imaging of tumor proliferation in preclinical models of H3K27M-mutant gliomas.Science translational medicine · 2026Article
- A novel hybrid framework integrating GA-driven 3D ResUNetGAN for MRI brain tumor segmentation.PloS one · 2026Article
- Inhibiting the formation of neutrophil extracellular traps to prevent the recurrence of post-operative glioblastoma.Nature communications · 2025Article
- Oral intake of deuterated choline at clinical dose for metabolic imaging of brain tumors.Npj imaging · 2025Article
- Accurate Paediatric Brain Tumour Classification Through Improved Quantitative Analysis ofNMR in biomedicine · 2025Article
- Novel Application of Ion Mobility Mass Spectrometry Reveals Complex Ganglioside Landscape in Diffuse Astrocytoma Peritumoral Regions.International journal of molecular sciences · 2025Article
- Prognostic Values of Thalamic Metabolic Abnormalities in Children with Epilepsy.Diagnostics (Basel, Switzerland) · 2025Article
- Lactylation in Glioblastoma: A Novel Epigenetic Modifier Bridging Epigenetic Plasticity and Metabolic Reprogramming.International journal of molecular sciences · 2025Review
- Amphiphilic hemicyanine molecular probes crossing the blood-brain barrier for intracranial optical imaging of glioblastoma.Science advances · 2025Article
- A bis-boron boramino acid PET tracer for brain tumor diagnosis.European journal of nuclear medicine and molecular imaging · 2024Article
- Detection of recurrent high-grade glioma using microstructure characteristics of distinct metabolic compartments in a multimodal and integrative 18F-FET PET/fast-DKI approach.European radiology · 2024Article
- Single-cell mapping of lipid metabolites using an infrared probe in human-derived model systems.Nature communications · 2024Article
- Clinical application of magnetic resonance elastography in pediatric neurological disorders.Pediatric radiology · 2023Review
- Feasibility of [European journal of nuclear medicine and molecular imaging · 2023Article
- Decoding Diffuse Midline Gliomas: A Comprehensive Review of Pathogenesis, Diagnosis and Treatment.Cancers · 2023Review
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
The revolution in cancer genomics has uncovered a variety of clinically relevant mutations in primary brain tumours, creating an urgent need to develop non-invasive imaging biomarkers to assess and integrate this genetic information into the clinical management of patients. Metabolic reprogramming is a central hallmark of cancer, including brain tumours; indeed, many of the molecular pathways implicated in the pathogenesis of brain tumours result in reprogramming of metabolism. This relationship provides the opportunity to devise in vivo metabolic imaging modalities to improve diagnosis, patient stratification, and monitoring of treatment response. Metabolic phenomena, such as the Warburg effect and altered mitochondrial metabolism, can be leveraged to image brain tumours using techniques including PET and MRI. Moreover, genetic alterations, such as mutations affecting isocitrate dehydrogenase, are associated with unique metabolic signatures that can be detected using magnetic resonance spectroscopy. The need to translate our understanding of the molecular features of brain tumours into imaging modalities with clinical utility is growing; metabolic imaging provides a unique platform to achieve this objective. In this Review, we examine the molecular basis for metabolic reprogramming in brain tumours, and examine current non-invasive metabolic imaging strategies that can be used to interrogate these molecular characteristics with the ultimate goal of guiding and improving patient care.
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What OpenQuestion holds
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.