Evidence map›Paper›PMID 25672953›Full record

ArticleJournal of cancer research and clinical oncology2015

Zinc distribution within breast cancer tissue: A possible marker for histological grading?

David Riesop, Alfred V Hirner, Peter Rusch, Agnes Bankfalvi

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 43 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

4 authors at 1 institution in 1 country.

David RiesopApplied Analytical Chemistry, Department of Chemistry, University of Duisburg-Essen, Universitätsstaße 5-7, 45141, Essen, Germany, davidriesop@gmail.com.
Alfred V Hirner
Peter Rusch
Agnes Bankfalvi
University of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFocusing on the trace metal zinc as a potential biomarker for breast cancer, the literature describes bulk zinc concentrations in breast cancer tissue to be higher than in normal tissue. From a histopathological point of view, cancer cells are intermingled with normal cells of the stroma within breast cancer tissues; therefore, bulk analysis cannot reflect this situation adequately. To address this problem, analysis of zinc distribution in histological sections is the method of choice.

methodsIn the present study, nine samples of invasive ductal and lobular breast carcinoma of histological grade 1-3 were investigated, clearly differentiating between cancer and stroma areas. Zinc concentrations were determined by laser ablation inductively coupled plasma mass spectrometry applying a calibration technique based on spiked polyacrylamide gels.

resultsDirect comparison between hematoxylin- and eosin-stained tissues and zinc contour plots revealed that zinc is enriched in cancer tissue containing tumor cells in contrast to normal stroma. Moreover, zinc concentration in carcinomatous tissues directly correlates with the histological malignancy grade.

conclusionsDifferentiation between carcinomatous tissue and stroma by determination of zinc content and the correlation of zinc concentration with the histological malignancy grade not only provides a key feature for clinical decision making for cancer therapy but also suggests the trace metal zinc as a potential biomarker for breast cancer.

Indexed as

Biomarkers, TumorBreastBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularFemaleHumansNeoplasm GradingSpectrometry, X-Ray EmissionTissue DistributionZincBiomarkers, TumorZinc

Identifiers

PMID25672953
PMCPMC11823795
OpenAlexW2013705279

What OpenQuestion holds

Textmetadata
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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.