Evidence map›Paper›PMID 26378940›Full record

ArticleAnalytical chemistry2015

Redefining the Breast Cancer Exosome Proteome by Tandem Mass Tag Quantitative Proteomics and Multivariate Cluster Analysis.

David J Clark, William E Fondrie, Zhongping Liao, Phyllis I Hanson, Amy Fulton, Li Mao, Austin J Yang

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 72 citations in OpenAlex.

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  15. Review on Strategies and Technologies for Exosome Isolation and Purification.Frontiers in bioengineering and biotechnology · 2021
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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 3 institutions in 1 country.

David J ClarkDepartment of Oncology and Diagnostic Sciences, University of Maryland School of Dentistry , Baltimore, Maryland 21201, United States.
William E FondrieMarlene and Stewart Greenebaum Cancer Center, University of Maryland , Baltimore, Maryland 21201, United States.
Zhongping LiaoLily Research Laboratory, Eli Lily and Company , Indianapolis, Indiana 46285, United States.
Phyllis I HansonDepartment of Cell Biology and Physiology, Washington University School of Medicine , St. Louis, Missouri 63110, United States.
Amy FultonMarlene and Stewart Greenebaum Cancer Center, University of Maryland , Baltimore, Maryland 21201, United States.
Li MaoDepartment of Oncology and Diagnostic Sciences, University of Maryland School of Dentistry , Baltimore, Maryland 21201, United States.
Austin J YangMarlene and Stewart Greenebaum Cancer Center, University of Maryland , Baltimore, Maryland 21201, United States.
University of Maryland, Baltimore · USEli Lilly (United States) · USWashington University in St. Louis · US

Funding

UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTERSUPPORT GRANTP30CA134274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI FEYRUZ VIRGILIA RASSOOL · 2008 to 2026
$51.0M
Proteomics of age-related neurodegenerationR01AG025323 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YANG, AUSTIN · 2004 to 2008
$1.5M
Targeting the COX-2 Pathway to Reduce Breast Cancer MortalityI01BX000169 · VA · BALTIMORE VA MEDICAL CENTER · PI FULTON, AMY M. · 2009 to 2020
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BLRD VA I01 BX000169NCI NIH HHS P30 CA134274NCI NIH HHS P30CA134274NIA NIH HHS R01 AG025323NIA NIH HHS R01AG25323
6 · The paper itself

Abstract

Exosomes are microvesicles of endocytic origin constitutively released by multiple cell types into the extracellular environment. With evidence that exosomes can be detected in the blood of patients with various malignancies, the development of a platform that uses exosomes as a diagnostic tool has been proposed. However, it has been difficult to truly define the exosome proteome due to the challenge of discerning contaminant proteins that may be identified via mass spectrometry using various exosome enrichment strategies. To better define the exosome proteome in breast cancer, we incorporated a combination of Tandem-Mass-Tag (TMT) quantitative proteomics approach and Support Vector Machine (SVM) cluster analysis of three conditioned media derived fractions corresponding to a 10 000g cellular debris pellet, a 100 000g crude exosome pellet, and an Optiprep enriched exosome pellet. The quantitative analysis identified 2 179 proteins in all three fractions, with known exosomal cargo proteins displaying at least a 2-fold enrichment in the exosome fraction based on the TMT protein ratios. Employing SVM cluster analysis allowed for the classification 251 proteins as "true" exosomal cargo proteins. This study provides a robust and vigorous framework for the future development of using exosomes as a potential multiprotein marker phenotyping tool that could be useful in breast cancer diagnosis and monitoring disease progression.

Indexed as

ProteomicsBreast NeoplasmsCluster AnalysisExosomesFemaleHumansMultivariate AnalysisProteomeTandem Mass SpectrometryTumor Cells, CulturedProteome

Identifiers

PMID26378940
PMCPMC7389820
OpenAlexW2242548945

What OpenQuestion holds

Textmetadata
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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.