Evidence map›Paper›PMID 28087332›Full record

ArticleMetabolic engineering2017

Exo-MFA - A 13C metabolic flux analysis framework to dissect tumor microenvironment-secreted exosome contributions towards cancer cell metabolism.

Abhinav Achreja, Hongyun Zhao, Lifeng Yang, Tae Hyun Yun, Juan Marini, Deepak Nagrath

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolic engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

60 citing papers in PubMed, 75 citations in OpenAlex.

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  17. Exosomes in metastasis of colorectal cancers: Friends or foes?World journal of gastrointestinal oncology · 2023
    Review
  18. Metabolic targeting of malignant tumors: a need for systemic approach.Journal of cancer research and clinical oncology · 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

6 authors at 3 institutions in 1 country.

Abhinav AchrejaLaboratory for Systems Biology of Human Diseases, Rice University, Houston, TX 77005, USA; Department of Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Hongyun ZhaoLaboratory for Systems Biology of Human Diseases, Rice University, Houston, TX 77005, USA; Department of Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Lifeng YangLaboratory for Systems Biology of Human Diseases, Rice University, Houston, TX 77005, USA; Department of Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005, USA.
Tae Hyun YunDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005, USA.
Juan MariniBaylor College of Medicine, TX 77005, USA.
Deepak NagrathLaboratory for Systems Biology of Human Diseases, Rice University, Houston, TX 77005, USA; Department of Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005, USA; Department of Bioengineering, Rice University, Houston, TX 77005, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: dnagrath@umich.edu.
University of Michigan–Ann Arbor · USRice University · USBaylor College of Medicine · US

Funding

Targeting Stromal Influences on Glutamine Addiction in Ovarian CancerR01CA227622 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MOK, SAMUEL C, NAGRATH, DEEPAK · 2018 to 2022
$2.3M
Uncovering Role of Exosomes in Regulating Pancreatic Cancer Cell MetabolismR01CA204969 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NAGRATH, DEEPAK · 2017 to 2021
$1.7M
NCI NIH HHS R01 CA204969NCI NIH HHS R01 CA227622
6 · The paper itself

Abstract

Dissecting the pleiotropic roles of tumor micro-environment (TME) on cancer progression has been brought to the foreground of research on cancer pathology. Extracellular vesicles such as exosomes, transport proteins, lipids, and nucleic acids, to mediate intercellular communication between TME components and have emerged as candidates for anti-cancer therapy. We previously reported that cancer-associated fibroblast (CAF) derived exosomes (CDEs) contain metabolites in their cargo that are utilized by cancer cells for central carbon metabolism and promote cancer growth. However, the metabolic fluxes involved in donor cells towards packaging of metabolites in extracellular vesicles and exosome-mediated metabolite flux upregulation in recipient cells are still not known. Here, we have developed a novel empirical and computational technique, exosome-mediated metabolic flux analysis (Exo-MFA) to quantify flow of cargo from source cells to recipient cells via vesicular transport. Our algorithm, which is based on

Indexed as

Cell CommunicationCitric Acid CycleGlycolysisTumor MicroenvironmentCarbon IsotopesCell Line, TumorExosomesHumansIsotope LabelingNeoplasmsCarbon Isotopes13C-metabolic flux analysisCancer metabolismExo-MFAExosomesIntercellular metabolic flux analysisTumor microenvironment

Identifiers

PMID28087332
PMCPMC7393794
OpenAlexW2577697770

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.