Evidence map›Paper›PMID 24130112›Full record

ArticleCancer research2013

Optical metabolic imaging identifies glycolytic levels, subtypes, and early-treatment response in breast cancer.

Alex J Walsh, Rebecca S Cook, H Charles Manning, Donna J Hicks, Alec Lafontant, Carlos L Arteaga, Melissa C Skala

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed
8.5field-weighted citation impact, top 2% of its field
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

197 citing papers in PubMed, 327 citations in OpenAlex.

  1. Impact of noise on optical redox ratio estimation.bioRxiv : the preprint server for biology · 2026
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  6. Advances in wound care · 2026
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  10. Breast Cancer Progression by the FGF/FGFR Axis: A Metabolic Perspective.Journal of mammary gland biology and neoplasia · 2025
    Review
  11. Review
  12. Article
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  15. Article
  16. Article
  17. Review
  18. Article
  19. Multimodal Optical Imaging Platform for Studying Cellular Metabolism.Journal of visualized experiments : JoVE · 2025
    Article
  20. Article

137 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Alex J WalshAuthors' Affiliations: Departments of Biomedical Engineering, Cancer Biology, Medicine, Vanderbilt University Institute of Imaging Science, and Breast Cancer Research Program, Vanderbilt-Ingram Cancer Center, Vanderbilt University Nashville, Tennessee.
Rebecca S Cook
H Charles Manning
Donna J Hicks
Alec Lafontant
Carlos L Arteaga
Melissa C Skala
Vanderbilt University · USVanderbilt-Ingram Cancer Center

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
ERBB2 TARGETED ANTITUMOR STRATEGIES IN BREAST CANCERR01CA080195 · NCI · VANDERBILT UNIVERSITY · PI ARTEAGA, CARLOS L · 1999 to 2014
$3.9M
Functional Optical Coherence Tomography for Monitoring Drug Resistance in CancerR00CA142888 · NCI · VANDERBILT UNIVERSITY · PI SKALA, MELISSA CAROLINE · 2010 to 2012
$727k
NCI NIH HHS P30 CA068485NCI NIH HHS P30 CA68485NCI NIH HHS P50 CA098131NCI NIH HHS R00 CA142888NCI NIH HHS R01 CA080195NIDDK NIH HHS DK058404NIDDK NIH HHS P30 DK058404
6 · The paper itself

Abstract

Abnormal cellular metabolism is a hallmark of cancer, yet there is an absence of quantitative methods to dynamically image this powerful cellular function. Optical metabolic imaging (OMI) is a noninvasive, high-resolution, quantitative tool for monitoring cellular metabolism. OMI probes the fluorescence intensities and lifetimes of the autofluorescent metabolic coenzymes reduced NADH and flavin adenine dinucleotide. We confirm that OMI correlates with cellular glycolytic levels across a panel of human breast cell lines using standard assays of cellular rates of glucose uptake and lactate secretion (P < 0.05, r = 0.89). In addition, OMI resolves differences in the basal metabolic activity of untransformed from malignant breast cells (P < 0.05) and between breast cancer subtypes (P < 0.05), defined by estrogen receptor and/or HER2 expression or absence. In vivo OMI is sensitive to metabolic changes induced by inhibition of HER2 with the antibody trastuzumab (herceptin) in HER2-overexpressing human breast cancer xenografts in mice. This response was confirmed with tumor growth curves and stains for Ki67 and cleaved caspase-3. OMI resolved trastuzumab-induced changes in cellular metabolism in vivo as early as 48 hours posttreatment (P < 0.05), whereas fluorodeoxyglucose-positron emission tomography did not resolve any changes with trastuzumab up to 12 days posttreatment (P > 0.05). In addition, OMI resolved cellular subpopulations of differing response in vivo that are critical for investigating drug resistance mechanisms. Importantly, OMI endpoints remained unchanged with trastuzumab treatment in trastuzumab-resistant xenografts (P > 0.05). OMI has significant implications for rapid cellular-level assessment of metabolic response to molecular expression and drug action, which would greatly accelerate drug development studies.

Indexed as

AnimalsAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBreast NeoplasmsCell Line, TumorDisease Models, AnimalErb-b2 Receptor Tyrosine KinasesFemaleFlavin-Adenine DinucleotideGlycolysisHumansMiceMice, NudeNADOptical ImagingTrastuzumabAntibodies, Monoclonal, HumanizedAntineoplastic AgentsErb-b2 Receptor Tyrosine KinasesFlavin-Adenine DinucleotideNADTrastuzumab

Identifiers

PMID24130112
PMCPMC3801432
OpenAlexW2121388227

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.