ArticlePNAS nexus2026
In vivo imaging of metabolic heterogeneity across three endpoints relevant to aggressive breast cancer.
Article in PNAS nexus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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.
Funding
Abstract
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with poor prognosis and a high likelihood of recurrence. Residual disease after therapy is a key predictor of recurrence, often driven by intratumoral metabolic heterogeneity. Accumulating evidence indicates that tumors are able to shift between glycolysis and oxidative metabolism and alter nutrient preferences to sustain growth and resist therapy. We have developed a in vivo microscope that enables near-simultaneous measurements of fluorescent metabolic surrogates of glucose, fatty acids, and oxidative phosphorylation through a combination of spectral separation and sequential delivery schemes. Widefield imaging with uniform illumination across the entire tumor landscape (5 mm × 5 mm) informs on the spatial distribution of these metabolic probes. We used this technology to investigate metabolic heterogeneity of a murine model of TNBC (4T1 tumor line) and normal mammary tissues that have distinctly different metabolic pathways. Mammary tissues relied primarily on oxidative metabolism and showed high levels of glucose and fatty acid uptake across the entire imaging area reflecting a single metabolic phenotype. Though tumors were predominantly glycolytic, they displayed a heterogeneous distribution of nutrient preferences with regions dominated by either fatty acid uptake, glucose uptake, or both. Taken together, this work highlights the importance of not only capturing multiple metabolic endpoints but also investigating their spatial relationships to understand heterogeneity in key substrates and metabolic pathways for energy production in vivo.
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.