Evidence map›Paper›PMID 28058811›Full record

ArticleProteomics2017

Proteomic characterization of microdissected breast tissue environment provides a protein-level overview of malignant transformation.

René B H Braakman, Christoph Stingl, Madeleine M A Tilanus-Linthorst, Carolien H M van Deurzen, Mieke A M Timmermans, Marcel Smid, John A Foekens, Theo M Luider, John W M Martens, Arzu Umar

Open access · hybridAbstract read
In one paragraph

Article in Proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  3. 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

10 authors at 3 institutions in 1 country.

René B H BraakmanDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Christoph StinglDepartment of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Madeleine M A Tilanus-LinthorstDepartment of Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands.
Carolien H M van DeurzenDepartment of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Mieke A M TimmermansDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Marcel SmidDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
John A FoekensDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Theo M LuiderDepartment of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands.
John W M MartensDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Arzu UmarDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Erasmus MC · NLErasmus University Rotterdam · NLErasmus MC Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both healthy and cancerous breast tissue is heterogeneous, which is a bottleneck for proteomics-based biomarker analysis, as it obscures the cellular origin of a measured protein. We therefore aimed at obtaining a protein-level interpretation of malignant transformation through global proteome analysis of a variety of laser capture microdissected cells originating from benign and malignant breast tissues. We compared proteomic differences between these tissues, both from cells of epithelial origin and the stromal environment, and performed string analysis. Differences in protein abundances corresponded with several hallmarks of cancer, including loss of cell adhesion, transformation to a migratory phenotype, and enhanced energy metabolism. Furthermore, despite enriching for (tumor) epithelial cells, many changes to the extracellular matrix were detected in microdissected cells of epithelial origin. The stromal compartment was heterogeneous and richer in the number of fibroblast and immune cells in malignant sections, compared to benign tissue sections. Furthermore, stroma could be clearly divided into reactive and nonreactive based on extracellular matrix disassembly proteins. We conclude that proteomics analysis of both microdissected epithelium and stroma gives an additional layer of information and more detailed insight into malignant transformation.

Indexed as

Biomarkers, TumorBreast NeoplasmsEpithelial CellsFemaleHumansMass SpectrometryMicrodissectionProteinsProteomicsStromal CellsWorkflowBiomarkers, TumorProteinsBreast cancerCellular originLaser capture microdissectionMalignant transformationTissue environment

Identifiers

PMID28058811
PMCPMC5347865
OpenAlexW2571136301

What OpenQuestion holds

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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.