Evidence map›Paper›PMID 41798733›Full record

ArticlePNAS nexus2026

In vivo imaging of metabolic heterogeneity across three endpoints relevant to aggressive breast cancer.

Victoria W D'Agostino, Michelle Kwan, Adelle Yong, Kira Grossman, Enakshi D Sunassee, Megan C Madonna, Matthew Hirschey, Gregory M Palmer, Nirmala Ramanujam

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Victoria W D'AgostinoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0001-8267-5033
Michelle KwanDepartment of Biology, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0009-0008-1249-9722
Adelle YongDepartment of Biology, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0009-0004-3457-099X
Kira GrossmanDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA.
Enakshi D SunasseeDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Megan C MadonnaDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0001-8297-7672
Matthew HirscheyDepartment of Medicine, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0003-4541-5376
Gregory M PalmerDepartment of Radiation Oncology, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0003-2955-8297
Nirmala RamanujamDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0001-7319-8415

Funding

Development of CapCell Scope for Metabolic Imaging of Tissue Heterogeneity and Therapy ResponseR01EB028148 · NIBIB · DUKE UNIVERSITY · PI ANDREI GOGA, Nirmala Ramanujam · 2019 to 2026
$4.0M
NIBIB NIH HHS R01 EB028148
6 · The paper itself

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

breast cancerfatty acid oxidationfluorescence microscopyglycolysistumor metabolism

Identifiers

PMID41798733
PMCPMC12964118

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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.