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Geometric characteristics of stromal collagen fibres in breast cancer using differential interference contrast microscopy.
Ghannam, Suzan F; Rutland, Catrin Sian; Allegrucci, Cinzia; Mather, Melissa L; Alsaleem, Mansour; Bateman-Price, Thomas D; Patke, Rodhan; Ball, Graham; Mongan, Nigel P; Rakha, Emad.
Affiliation
  • Ghannam SF; Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK.
  • Rutland CS; Faculty of Medicine, Department of Histology and Cell Biology, Suez Canal University, Ismailia, Egypt.
  • Allegrucci C; Nottingham Breast Cancer Research Centre, Biodiscovery Institute, University of Nottingham, Nottingham, UK.
  • Mather ML; Nottingham Breast Cancer Research Centre, Biodiscovery Institute, University of Nottingham, Nottingham, UK.
  • Alsaleem M; School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.
  • Bateman-Price TD; Nottingham Breast Cancer Research Centre, Biodiscovery Institute, University of Nottingham, Nottingham, UK.
  • Patke R; School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.
  • Ball G; Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.
  • Mongan NP; Department of Applied Medical Science, Applied College, Qassim University, Qassim, Saudi Arabia.
  • Rakha E; Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.
J Microsc ; 2024 Oct 03.
Article in En | MEDLINE | ID: mdl-39359124
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/µm2) compared to DCIS (p < 0.0001). The collagen fibres were thinner (13.78 ± 1.08 µm), straighter (0.96 ± 0.006, on a scale of 0-1), more disorganised (95.07° ± 11.39°) and less aligned (0.20 ± 0.09, on a 0-1 scale) in the invasive BC compared to DCIS (all p < 0.0001). A model considering these features was developed that could distinguish between DCIS and invasive tumours with 94% accuracy. There were strong correlations between fibre characteristics and clinicopathological parameters in both groups. A statistically significant association between fibre characteristics and patients' outcomes (breast cancer specific survival, and recurrence free survival) was observed in the invasive group but not in DCIS. Although invasive BC and DCIS were both associated with stromal reaction, the structural features of collagen fibres were significantly different in the two disease stages. Analysis of the stroma fibre characteristics in the preoperative core biopsy specimen may help to differentiate pure DCIS from those associated with invasion.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Microsc Year: 2024 Document type: Article Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Microsc Year: 2024 Document type: Article Country of publication: United kingdom