Evidence map›Paper›PMID 39359124›Full record

ArticleJournal of microscopy2025

Geometric characteristics of stromal collagen fibres in breast cancer using differential interference contrast microscopy.

Suzan F Ghannam, Catrin Sian Rutland, Cinzia Allegrucci, Melissa L Mather, Mansour Alsaleem, Thomas D Bateman-Price, Rodhan Patke, Graham Ball, Nigel P Mongan, Emad Rakha

Abstract read
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In one paragraph

Article in Journal of microscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Suzan F GhannamAcademic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0003-4171-2605
Catrin Sian RutlandNottingham Breast Cancer Research Centre, Biodiscovery Institute, University of Nottingham, Nottingham, UK.
Cinzia AllegrucciNottingham Breast Cancer Research Centre, Biodiscovery Institute, University of Nottingham, Nottingham, UK.
Melissa L MatherOptics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.
Mansour AlsaleemDepartment of Applied Medical Science, Applied College, Qassim University, Qassim, Saudi Arabia.
Thomas D Bateman-PriceOptics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.
Rodhan PatkeSchool of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.ORCID 0000-0001-8318-2521
Graham BallMedical Technology Research Centre, Anglia Ruskin University, Chelmsford, UK.
Nigel P MonganSchool of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.
Emad RakhaAcademic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK.

Funding

Egyptian Ministry of Higher Education and Scientific Research
6 · The paper itself

Abstract

Breast cancer (BC) is characterised by a high level of heterogeneity, which is influenced by the interaction of neoplastic cells with the tumour microenvironment. The diagnostic and prognostic role of the tumour stroma in BC remains to be defined. Differential interference contrast (DIC) microscopy is a label-free imaging technique well suited to visualise weak optical phase objects such as cells and tissue. This study aims to compare stromal collagen fibre characteristics between in situ and invasive breast tumours using DIC microscopy and investigate the prognostic value of collagen parameters in BC. A tissue microarray was generated from 200 cases, comprising ductal carcinoma in situ (DCIS; n = 100) and invasive tumours (n = 100) with an extra 50 (25 invasive BC and 25 DCIS) cases for validation was utilised. Two sections per case were used: one stained with haematoxylin and eosin (H&E) stain for histological review and one unstained for examination using DIC microscopy. Collagen fibre parameters including orientation angle, fibre alignment, fibre density, fibre width, fibre length and fibre straightness were measured. Collagen fibre density was higher in the stroma of invasive BC (161.68 ± 11.2 fibre/µm

Indexed as

Breast NeoplasmsCollagenMicroscopy, InterferenceCarcinoma, Intraductal, NoninfiltratingFemaleHumansMiddle AgedPrognosisCollagenbreast cancercollagenDCISdifferential interference contrast microscopyinvasive tumourstroma

Identifiers

PMID39359124
PMCPMC11733853

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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.