Evidence map›Paper›PMID 23543813›Full record

ArticleSpringerPlus2013

Characterizing the metabolic heterogeneity in human breast cancer xenografts by 3D high resolution fluorescence imaging.

He N Xu, Gang Zheng, Julia Tchou, Shoko Nioka, Lin Z Li

Abstract read
In one paragraph

Article in SpringerPlus, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Beyond Genetics: Metastasis as an Adaptive Response in Breast Cancer.International journal of molecular sciences · 2022
    Review
  7. Review
  8. The Heterogeneity of Breast Cancer Metabolism.Advances in experimental medicine and biology · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors.

He N XuMolecular Imaging Laboratory, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, USA ; Britton Chance Laboratory of Redox Imaging, Johnson Research Foundation, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, USA.
Gang Zheng
Julia Tchou
Shoko Nioka
Lin Z Li

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
WORKSHOP ON ADVANCES IN MUSCULOSKELETAL MRIP41RR002305 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI SONG, HEE KWON · 1985 to 2011
$14.7M
Penn Small Animal Imaging Resource (Penn-SAIR)U24CA083105 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CHODOSH, LEWIS A, GLICKSON, JERRY D · 2007 to 2011
$2.1M
Imaging Mitochondrial Redox States In Vivo by Hyperpolarized MRR01CA155348 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LI, LIN Z · 2011 to 2015
$1.9M
NCI NIH HHS P30 CA016520NCI NIH HHS R01 CA155348NCI NIH HHS U24 CA083105NCRR NIH HHS P41 RR002305
6 · The paper itself

Abstract

We previously reported that tumor mitochondrial redox state and its heterogeneity distinguished between the aggressive and the indolent breast cancer xenografts, suggesting novel metabolic indices as biomarkers for predicting tumor metastatic potential. Additionally, we reported that the identified redox biomarkers successfully differentiated between the normal breast tissue and the cancerous breast tissue from breast cancer patients. The aim of the present study was to further characterize intratumor heterogeneity by its distribution of mitochondrial redox state and glucose uptake pattern in tumor xenografts and to further investigate the metabolic heterogeneity of the clinical biopsy samples. We employed the Chance redox scanner, a multi-section cryogenic fluorescence imager to simultaneously image the intratumor heterogeneity in the mitochondrial redox state and glucose uptake at a high spatial resolution (down to 50 × 50 × 20 μm(3)). The mitochondrial redox state was determined by the ratio of the intrinsic fluorescence signals from reduced nicotinamide adenine dinucleotide (NADH) and oxidized flavoproteins (Fp including FAD, i.e., flavin adenine dinucleotide), and the glucose uptake was measured using a near-infrared fluorescent glucose-analogue, pyropheophorbide 2-deoxyglucosamide (Pyro-2DG). Significant inter- and intratumor metabolic heterogeneity were observed from our imaging data on various types of breast cancer xenografts. The patterns and degrees of heterogeneity of mitochondrial redox state appeared to relate to tumor size and metastatic potential. The glucose uptake was also heterogeneous and generally higher in tumor peripheries. The oxidized and reduced regions mostly corresponded with the lower and the higher pyro-2DG uptake, respectively. However, there were some regions where the glucose uptake did not correlate with the redox indices. Pronounced glucose uptake and high NADH were observed in certain localized areas within the tumor necrotic regions, indicative of the existence of viable cells which was also supported by the H&E staining. Significant heterogeneity of the redox state indices was also observed in clinical specimens of breast cancer patients. As abnormal metabolism including the Warburg effect (high glycolysis) plays important roles in cancer transformation and progression, our observations that reveal the 3D intratumor metabolic heterogeneity as a characteristic feature of breast tumors are of great importance for understanding cancer biology and developing diagnostic and therapeutic methods.

Indexed as

FADFlavoprotein (Fp)Glucose uptakeMCF-7MDA-MB-231MDA-MB-468Mitochondrial redox stateNADHPyro-2DGRedox scanningThe Chance redox scanner

Identifiers

PMID23543813
PMCPMC3610024

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Registered trials

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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.