Evidence map›Paper›PMID 33260673›Full record

ArticleInternational journal of molecular sciences2020

Microfluidic Tumor-on-a-Chip Model to Study Tumor Metabolic Vulnerability.

Jose M Ayuso, Shujah Rehman, Mehtab Farooqui, María Virumbrales-Muñoz, Vijayasaradhi Setaluri, Melissa C Skala, David J Beebe

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Natural products targeting glycolysis in cancer.Frontiers in pharmacology · 2022
    Pooled it
  2. Review
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  8. The Applications and Challenges of the Development ofCellular and molecular bioengineering · 2023
    Review
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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 1 institution in 1 country.

Jose M AyusoDepartment of Pathology & Laboratory Medicine, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0002-9414-1845
Shujah RehmanMorgridge Institute for Research, 330 N Orchard Street, Madison, WI 53715, USA.ORCID 0000-0001-9527-743X
Mehtab FarooquiDepartment of Pathology & Laboratory Medicine, University of Wisconsin, Madison, WI 53706, USA.
María Virumbrales-MuñozDepartment of Pathology & Laboratory Medicine, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0003-3660-8651
Vijayasaradhi SetaluriDepartment of Dermatology, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0001-6468-7663
Melissa C SkalaMorgridge Institute for Research, 330 N Orchard Street, Madison, WI 53715, USA.ORCID 0000-0002-6320-7637
David J BeebeDepartment of Pathology & Laboratory Medicine, University of Wisconsin, Madison, WI 53706, USA.
University of Wisconsin–Madison · US

Funding

Optical imaging of pancreas cancer organoids for drug development and personalized treatmentR01CA211082 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI SKALA, MELISSA CAROLINE · 2017 to 2021
$3.5M
(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
National Science Foundation CBET-1642287NCI NIH HHS R01 CA185747NCI NIH HHS R01 CA205101NCI NIH HHS R01 CA211082NIH HHS NIH grants R01 CA164492, R01 CA185747, R01 CA205101, R01 CA211082University of Wisconsin Carbone Cancer Center AAB7173U.S. Department of Defense W81XWH-18-PRCRP-IASF
6 · The paper itself

Abstract

Tumor-specific metabolic adaptations offer an interesting therapeutic opportunity to selectively destroy cancer cells. However, solid tumors also present gradients of nutrients and waste products across the tumor mass, forcing tumor cells to adapt their metabolism depending on nutrient availability in the surrounding microenvironment. Thus, solid tumors display a heterogenous metabolic phenotype across the tumor mass, which complicates the design of effective therapies that target all the tumor populations present. In this work, we used a microfluidic device to study tumor metabolic vulnerability to several metabolic inhibitors. The microdevice included a central chamber to culture tumor cells in a three-dimensional (3D) matrix, and a lumen in one of the chamber flanks. This design created an asymmetric nutrient distribution across the central chamber, generating gradients of cell viability. The results revealed that tumor cells located in a nutrient-enriched environment showed low to no sensitivity to metabolic inhibitors targeting glycolysis, fatty acid oxidation, or oxidative phosphorylation. Conversely, when cell density inside of the model was increased, compromising nutrient supply, the addition of these metabolic inhibitors disrupted cellular redox balance and led to tumor cell death.

Indexed as

Lab-On-A-Chip DevicesMicrofluidicsModels, BiologicalCell CountHumansMCF-7 CellsNecrosisNeoplasmsTumor Hypoxiamicrofluidicsredox ratiotumor metabolismtumor-on-a-chip

Identifiers

PMID33260673
PMCPMC7730115
OpenAlexW3109644061

What Socratic 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 Socratic graph.