Evidence map›Paper›PMID 34611767›Full record

ArticleMolecular imaging and biology2022

Longitudinal FRET Imaging of Glucose and Lactate Dynamics and Response to Therapy in Breast Cancer Cells.

Jianchen Yang, Tessa Davis, Anum S Kazerouni, Yuan-I Chen, Meghan J Bloom, Hsin-Chih Yeh, Thomas E Yankeelov, John Virostko

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Molecular imaging and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Jianchen YangDepartment of Biomedical Engineering, The University of Texas At Austin, Austin, TX, 78712, USA.
Tessa DavisDepartment of Biomedical Engineering, The University of Texas At Austin, Austin, TX, 78712, USA.
Anum S KazerouniDepartment of Biomedical Engineering, The University of Texas At Austin, Austin, TX, 78712, USA.
Yuan-I ChenDepartment of Biomedical Engineering, The University of Texas At Austin, Austin, TX, 78712, USA.
Meghan J BloomDepartment of Biomedical Engineering, The University of Texas At Austin, Austin, TX, 78712, USA.
Hsin-Chih YehDepartment of Biomedical Engineering, The University of Texas At Austin, Austin, TX, 78712, USA.
Thomas E YankeelovDepartment of Biomedical Engineering, The University of Texas At Austin, Austin, TX, 78712, USA.
John VirostkoDepartment of Diagnostic Medicine, The University of Texas At Austin, 201 E. 24th Street, 1 University Station (C0200), Austin, TX, 78712, USA. jack.virostko@austin.utexas.edu.
The University of Texas at Austin · USLivestrong Foundation · US

Funding

Quantitative MRI for Predicting Response of Breast Cancer to Neoadjuvant TherapyU01CA142565 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KARCZMAR, GREGORY S., NANDA, RITA · 2010 to 2019
$4.5M
Quantitative Multiscale Imaging to Optimize Cancer Treatment StrategiesR01CA186193 · NCI · VANDERBILT UNIVERSITY · PI QUARANTA, VITO, RERICHA, ERIN C · 2014 to 2019
$3.1M
Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast CancerU01CA174706 · NCI · VANDERBILT UNIVERSITY · PI QUARANTA, VITO, YANKEELOV, THOMAS E · 2013 to 2018
$2.5M
Developing an ultrafast fluorescence lifetime imaging ophthalmoscopy system for retinal imagingR21EY033106 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI YEH, HSIN-CHIH · 2021 to 2022
$399k
NCI NIH HHS R01 CA186193NCI NIH HHS U01 CA142565NCI NIH HHS U01 CA174706NEI NIH HHS R21 EY033106NIH HHS R01CA186193NIH HHS U01CA142565NIH HHS U01CA174706
6 · The paper itself

Abstract

purposeThe reprogramming of cellular metabolism is a hallmark of cancer. The ability to noninvasively assay glucose and lactate concentrations in cancer cells would improve our understanding of the dynamic changes in metabolic activity accompanying tumor initiation, progression, and response to therapy. Unfortunately, common approaches for measuring these nutrient levels are invasive or interrupt cell growth. This study transfected FRET reporters quantifying glucose and lactate concentration into breast cancer cell lines to study nutrient dynamics and response to therapy. PROCEDURES: Two FRET reporters, one assaying glucose concentration and one assaying lactate concentration, were stably transfected into the MDA-MB-231 breast cancer cell line. Correlation between FRET measurements and ligand concentration were measured using a confocal microscope and a cell imaging plate reader. Longitudinal changes in glucose and lactate concentration were measured in response to treatment with CoCl

resultsThe FRET ratio from the glucose and lactate reporters increased with increasing concentration of the corresponding ligand (p < 0.005 and p < 0.05, respectively). The FRET ratio from both reporters was found to decrease over time for high initial concentrations of the ligand (p < 0.01). Significant differences in the FRET ratio corresponding to metabolic inhibition were found when cells were treated with glucose/lactate transporter inhibitors.

conclusionsFRET reporters can track intracellular glucose and lactate dynamics in cancer cells, providing insight into tumor metabolism and response to therapy over time.

Indexed as

Breast NeoplasmsLactic AcidCell Line, TumorFemaleFluorescence Resonance Energy TransferGlucoseHumansGlucoseLactic AcidFluorescenceHypoxiaMDA-MB-231MetabolismOncometaboliteTime-resolved microscopyWarburg effect

Identifiers

PMID34611767
PMCPMC9302925
OpenAlexW3203669241

What OpenQuestion holds

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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.