ArticleCancer research2014
Endogenous two-photon fluorescence imaging elucidates metabolic changes related to enhanced glycolysis and glutamine consumption in precancerous epithelial tissues.
Article in Cancer research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.
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
121 citing papers in PubMed, 163 citations in OpenAlex.
- Submicromolar imaging of intrinsic chromophores by two-photon photothermal microscopy captures mitochondrial response to chemotherapy.Science advances · 2026Article
- Intravital Monitoring of Psoriasis Treatment Response and Drug Delivery Using Multiphoton Fluorescence Lifetime Imaging.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2026Article
- MRS and Optical Imaging Studies of Therapeutic Response to Combination Therapy Targeting BRAF/MEK in Murine Melanomas.Academic radiology · 2026Article
- Optical Redox Imaging of Breast Cancer NADH Redox Status Associated with PGC1α Gene Expression.Academic radiology · 2026Article
- Article
- Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026Review
- Dissecting Cancer Metabolism and Therapeutic Resistance Using In Vitro Platforms.Advances in experimental medicine and biology · 2026Review
- Role of Mitochondrial Optical Redox Imaging in Modern Cancer Research (2024 Peter Vaupel Honorary Lecture).Advances in experimental medicine and biology · 2026Article
- Autofluorescence and deep learning in early disease detection: biological foundations, clinical applications, and future directions.Frontiers in artificial intelligence · 2026Review
- Multi-modal label-free imaging of cellular metabolism and oxidative stress in 3D brain tissue models.Communications biology · 2025Article
- Perspectives on label-free microscopy of heterogeneous and dynamic biological systems.Journal of biomedical optics · 2025Article
- Wide-Field Optical Redox Imaging with Leading-Edge Detection Enables Assessment of Treatment Response and Heterogeneity in Patient-Derived Cancer Organoids.Cancer research · 2025Article
- Fluorescence lifetime imaging to investigate propofol-induced metabolic alterations in MDA-MB-231 cells.Biomedical optics express · 2025Article
- Light and metabolism: label-free optical imaging of metabolic activities in biological systems [Invited].Biomedical optics express · 2025Review
- Multimodal Optical Imaging Platform for Studying Cellular Metabolism.Journal of visualized experiments : JoVE · 2025Article
- Compact femtosecond fiber laser tunable from 800 to 850 nm with pulse energy exceeding 5 nJ.Scientific reports · 2025Article
- Cellpose as a reliable method for single-cell segmentation of autofluorescence microscopy images.Scientific reports · 2025Article
- Metabolic rewiring in skin epidermis drives tolerance to oncogenic mutations.Nature cell biology · 2025Article
- Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling.Journal of biomedical optics · 2025Article
- Measuring Metabolic Changes in Cancer Cells Using Two-Photon Fluorescence Lifetime Imaging Microscopy and Machine-Learning Analysis.Journal of biophotonics · 2025Article
61 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
10 authors at 3 institutions in 1 country.
Funding
Abstract
Alterations in the balance between different metabolic pathways used to meet cellular bioenergetic and biosynthetic demands are considered hallmarks of cancer. Optical imaging relying on endogenous fluorescence has been used as a noninvasive approach to assess tissue metabolic changes during cancer development. However, quantitative correlations of optical assessments with variations in the concentration of relevant metabolites or in the specific metabolic pathways that are involved have been lacking. In this study, we use high-resolution, depth-resolved imaging, relying entirely on endogenous two-photon excited fluorescence in combination with invasive biochemical assays and mass spectrometry to demonstrate the sensitivity and quantitative nature of optical redox ratio tissue assessments. We identify significant differences in the optical redox ratio of live, engineered normal and precancerous squamous epithelial tissues. We establish that while decreases in the optical redox ratio are associated with enhanced levels of glycolysis relative to oxidative phosphorylation, increases in glutamine consumption to support energy production are associated with increased optical redox ratio values. Such mechanistic insights in the origins of optical metabolic assessments are critical for exploiting fully the potential of such noninvasive approaches to monitor and understand important metabolic changes that occur in live tissues at the onset of cancer or in response to treatment.
Indexed as
Identifiers
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.