Evidence map›Paper›PMID 28099487›Full record

ArticlePloS one2017

Metabolic Imaging of Head and Neck Cancer Organoids.

Amy T Shah, Tiffany M Heaster, Melissa C Skala

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

44 citing papers in PubMed, 74 citations in OpenAlex.

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  18. Single cell metabolism: current and future trends.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  19. Review
  20. Label-free sensing of cells with fluorescence lifetime imaging: The quest for metabolic heterogeneity.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

3 authors at 2 institutions in 1 country.

Amy T ShahDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States of America.
Tiffany M HeasterDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States of America.
Melissa C SkalaDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States of America.
Vanderbilt University · USUniversity of Wisconsin–Madison · US

Funding

(PQ7) Quantitative in vivo optical imaging of tumor heterogeneityR01CA205101 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI SKALA, MELISSA CAROLINE · 2016 to 2020
$1.9M
Cellular-level Optical Metabolic Imaging to Predict Drug Response in CancerR01CA185747 · NCI · VANDERBILT UNIVERSITY · PI SKALA, MELISSA CAROLINE · 2014 to 2019
$1.6M
NCI NIH HHS R01 CA185747NCI NIH HHS R01 CA205101
6 · The paper itself

Abstract

Head and neck cancer patients suffer from toxicities, morbidities, and mortalities, and these ailments could be minimized through improved therapies. Drug discovery is a long, expensive, and complex process, so optimized assays can improve the success rate of drug candidates. This study applies optical imaging of cell metabolism to three-dimensional in vitro cultures of head and neck cancer grown from primary tumor tissue (organoids). This technique is advantageous because it measures cell metabolism using intrinsic fluorescence from NAD(P)H and FAD on a single cell level for a three-dimensional in vitro model. Head and neck cancer organoids are characterized alone and after treatment with standard therapies, including an antibody therapy, a chemotherapy, and combination therapy. Additionally, organoid cellular heterogeneity is analyzed quantitatively and qualitatively. Gold standard measures of treatment response, including cell proliferation, cell death, and in vivo tumor volume, validate therapeutic efficacy for each treatment group in a parallel study. Results indicate that optical metabolic imaging is sensitive to therapeutic response in organoids after 1 day of treatment (p<0.05) and resolves cell subpopulations with distinct metabolic phenotypes. Ultimately, this platform could provide a sensitive high-throughput assay to streamline the drug discovery process for head and neck cancer.

Indexed as

AnimalsAntineoplastic AgentsCarcinoma, Squamous CellCell DeathCell ProliferationCetuximabDrug DiscoveryErb-b2 Receptor Tyrosine KinasesFluorescent DyesHead and Neck NeoplasmsHigh-Throughput Screening AssaysHumansImage Processing, Computer-AssistedMiceMice, NudeOptical ImagingAntineoplastic AgentsCetuximabErbb2 protein, mouseErb-b2 Receptor Tyrosine KinasesFluorescent Dyes

Identifiers

PMID28099487
PMCPMC5242529
OpenAlexW2572957424

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.