Negative prognostic value of intra-ductal fat infiltrate in breast cancer.


Journal

Pathology, research and practice
ISSN: 1618-0631
Titre abrégé: Pathol Res Pract
Pays: Germany
ID NLM: 7806109

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 13 07 2019
revised: 12 09 2019
accepted: 12 09 2019
pubmed: 6 10 2019
medline: 31 3 2020
entrez: 6 10 2019
Statut: ppublish

Résumé

Recent studies showed a correlation between Body Mass Index and both breast cancer occurrence and progression. Nevertheless, no study reported an accurate evaluation of intra-ductal fat infiltrate. Therefore, the main aim of this study was to evaluate the putative association between intra-ductal fat infiltrate (IDFi) and breast cancer subtypes by using digital pathology. We retrospectively collected 220 breast biopsies. Paraffin serial sections were used for haematoxylin and eosin staining and immunohistochemical evaluation of the following markers: estrogen receptor (ER), progesterone receptor (PR), Ki67 and c-erb2. Three haematoxylin and eosin sections for each paraffin block were digitalized. Digital slides were used to evaluate the areas of IDFi. Five randomized areas were evaluated for each slide. By using GraphPad software IDFi areas was correlated with a) breast cancer histotype, b) presence of microcalcifications and c) biomarkers expression. Breast biopsies were classified as follow: 20 normal breast, 50 benign lesions, and 150 malignant lesions (85 ductal in situ carcinomas; 65 ductal infiltrating carcinomas). Statistical analysis showed a significant increase of IDFi in malignant lesions as compared to both normal breast and benign lesions. We noted higher IDFi in breast ductal carcinomas as compared to lobular lesions. Significant differences were observed between breast lesions with microcalcifications respect to lesions without calcifications. Noteworthy, we also found a positive association between IDFi and the expression of both ER and Ki67. Results of our study highlighted the possible role of fat in breast cancer progression suggesting a negative prognostic value of IDFi.

Sections du résumé

BACKGROUND BACKGROUND
Recent studies showed a correlation between Body Mass Index and both breast cancer occurrence and progression. Nevertheless, no study reported an accurate evaluation of intra-ductal fat infiltrate. Therefore, the main aim of this study was to evaluate the putative association between intra-ductal fat infiltrate (IDFi) and breast cancer subtypes by using digital pathology.
METHODS METHODS
We retrospectively collected 220 breast biopsies. Paraffin serial sections were used for haematoxylin and eosin staining and immunohistochemical evaluation of the following markers: estrogen receptor (ER), progesterone receptor (PR), Ki67 and c-erb2. Three haematoxylin and eosin sections for each paraffin block were digitalized. Digital slides were used to evaluate the areas of IDFi. Five randomized areas were evaluated for each slide. By using GraphPad software IDFi areas was correlated with a) breast cancer histotype, b) presence of microcalcifications and c) biomarkers expression.
RESULTS RESULTS
Breast biopsies were classified as follow: 20 normal breast, 50 benign lesions, and 150 malignant lesions (85 ductal in situ carcinomas; 65 ductal infiltrating carcinomas). Statistical analysis showed a significant increase of IDFi in malignant lesions as compared to both normal breast and benign lesions. We noted higher IDFi in breast ductal carcinomas as compared to lobular lesions. Significant differences were observed between breast lesions with microcalcifications respect to lesions without calcifications. Noteworthy, we also found a positive association between IDFi and the expression of both ER and Ki67.
CONCLUSION CONCLUSIONS
Results of our study highlighted the possible role of fat in breast cancer progression suggesting a negative prognostic value of IDFi.

Identifiants

pubmed: 31585815
pii: S0344-0338(19)31424-4
doi: 10.1016/j.prp.2019.152634
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

152634

Informations de copyright

Copyright © 2019 Elsevier GmbH. All rights reserved.

Auteurs

Rita Bonfiglio (R)

Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy.

Filippo Milano (F)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy.

Ana Cranga (A)

Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy.

Maria Teresa De Caro (MT)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy.

Harpreet Kaur Lamsira (H)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy.

Donata Trivigno (D)

Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy.

Stefania Urso (S)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy.

Manuel Scimeca (M)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy; Fondazione Umberto Veronesi (FUV), Piazza Velasca 5, 20122, Milano, Mi, Italy; San Raffaele University, Via di Val Cannuta 247, 00166, Rome, Italy; UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy. Electronic address: manuel.scimeca@uniroma2.it.

Elena Bonanno (E)

Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy; "Diagnostica Medica" and "Villa dei Platani", Avellino, Italy (Neuromed group), Italy.

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Classifications MeSH