Evidence map›Paper›PMID 30251340›Full record

ArticleProteomics. Clinical applications2019

Extracellular Matrix Imaging of Breast Tissue Pathologies by MALDI-Imaging Mass Spectrometry.

Peggi M Angel, Kristina Schwamborn, Susana Comte-Walters, Cassandra L Clift, Lauren E Ball, Anand S Mehta, Richard R Drake

Open access · greenAbstract read
In one paragraph

Article in Proteomics. Clinical applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 58 citations in OpenAlex.

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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 2 institutions in 2 countries.

Peggi M AngelDepartment of Cell and Molecular Pharmacology, MUSC Proteomics Center, Medical University of South Carolina, Charleston, SC, 29425.ORCID 0000-0002-4436-555X
Kristina SchwambornInstitute of Pathology, TU Munich, Germany.
Susana Comte-WaltersDepartment of Cell and Molecular Pharmacology, MUSC Proteomics Center, Medical University of South Carolina, Charleston, SC, 29425.
Cassandra L CliftDepartment of Cell and Molecular Pharmacology, MUSC Proteomics Center, Medical University of South Carolina, Charleston, SC, 29425.
Lauren E BallDepartment of Cell and Molecular Pharmacology, MUSC Proteomics Center, Medical University of South Carolina, Charleston, SC, 29425.
Anand S MehtaDepartment of Cell and Molecular Pharmacology, MUSC Proteomics Center, Medical University of South Carolina, Charleston, SC, 29425.ORCID 0000-0002-9846-9389
Richard R DrakeDepartment of Cell and Molecular Pharmacology, MUSC Proteomics Center, Medical University of South Carolina, Charleston, SC, 29425.ORCID 0000-0002-6285-6440
Medical University of South Carolina · USMTU Aero Engines (Germany) · DE

Funding

Translational Science Laboratory Shared ResourceP30CA138313 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND N. DUBOIS · 2009 to 2026
$42.7M
SOUTH CAROLINA COBRE IN OXIDANTS, REDOX BALANCE AND STRESS SIGNALINGP20GM103542 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI TEW, KENNETH D. · 2012 to 2020
$20.2M
Orbitrap Mass SpectrometerS10OD010731 · OD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BALL, LAUREN ELIZABETH · 2012 to 2012
$600k
Confocal/Multiphoton Microscope UpgradeS10OD018113 · OD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LEMASTERS, JOHN J · 2015 to 2015
$570k
Detection and Histopathology Localization of O-Glycans and Glycosaminoglycans in TissuesR21CA207779 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DRAKE, RICHARD R. · 2016 to 2017
$547k
American Cancer Society Institutional Research GrantNCI NIH HHS P30 CA138313NCI NIH HHS R21 CA207779NIGMS NIH HHS P20 GM103542NIH HHS S10 OD010731NIH HHS S10 OD018113South Carolina Centers of Economic Excellence SmartState
6 · The paper itself

Abstract

purposeA new method accessing proteins from extracellular matrix by imaging mass spectrometry (ECM IMS) has been recently reported. ECM IMS is evaluated for use in exploring breast tissue pathologies. EXPERIMENTAL

designA tissue microarray (TMA) is analyzed that has 176 cores of biopsies and lumpectomies spanning breast pathologies of inflammation, hyperplasia, fibroadenoma, invasive ductal carcinoma, and invasive lobular carcinoma and normal adjacent to tumor (NAT). NAT is compared to subtypes by area under the receiver operating curve (ROC) >0.7. A lumpectomy is also characterized for collagen organization by microscopy and stromal protein distribution by IMS. LC-based high-resolution accurate mass (HRAM) proteomics is used to identify proteins from the lumpectomy.

resultsTMA analysis shows distinct spectral signatures reflecting a heterogeneous tissue microenvironment. Ninety-four peaks show an ROC > 0.7 compared to NAT; NAT has overall higher intensities. Lumpectomy analysis by IMS visualizes a complex central tumor region with distal tumor regions. A total of 39 stromal proteins are identified by HRAM LC-based proteomics. Accurate mass matches between image data and LC-based proteomics demonstrate a heterogeneous collagen type environment in the central tumor.

conclusionsData portray the heterogeneous stromal microenvironment of breast pathologies, including alteration of multiple collagen-type patterns. ECM IMS is a promising new tool for investigating the stromal microenvironment of breast tissue including cancer.

Indexed as

Molecular ImagingSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAdultAgedAged, 80 and overBreastBreast DiseasesDisease ProgressionExtracellular MatrixFemaleGene Expression ProfilingHumansMiddle AgedPeptidesYoung AdultPeptidesbreast cancerextracellular matrixMALDI imaging mass spectrometrypeptide imagingproteomicstissue imaging

Identifiers

PMID30251340
PMCPMC6730639
OpenAlexW2892983250

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.