Digital analysis of distant and cancer-associated mammary adipocytes

Autor: Maxim De Schepper, Edoardo Isnaldi, Gabriele Zoppoli, Denis Larsimont, Fatima Cardoso, Christine Desmedt, Ghizlane Rouas, Elia Biganzoli, Christos Sotiriou, Francois Richard, Sophia Leduc, Marion Maetens, Giuseppe Floris, Tatjana Geukens, Delphine Vincent
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Pathology
medicine.medical_specialty
ER
estrogen receptor
BC
breast cancer
BMI
body mass index
H&E stain
Digital analysis
MAT
mammary adipose tissue
Breast Neoplasms
lcsh:RC254-282
Body Mass Index
03 medical and health sciences
0302 clinical medicine
Breast cancer
medicine
Adipocytes
Image Processing
Computer-Assisted
Tumor Microenvironment
Digital pathology
Humans
CLS
crown-like structure
030212 general & internal medicine
Obesity
CAAs
cancer-associated adipocytes
Breast
Image analysis
Tumor microenvironment
business.industry
Carcinoma
Ductal
Breast
Cancer
Médecine pathologie humaine
General Medicine
Sciences bio-médicales et agricoles
Middle Aged
medicine.disease
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Cancer-associated adipocytes
Cancérologie
030220 oncology & carcinogenesis
H&E
hematoxylin and eosin
Surgery
Original Article
Female
business
Software
Zdroj: The Breast : Official Journal of the European Society of Mastology
Breast, Vol 54, Iss, Pp 179-186 (2020)
Breast, 54
ISSN: 1532-3080
0960-9776
Popis: Adipocytes and cancer-associated adipocytes (CAAs) are poorly investigated cells in the tumor microenvironment. Different image analysis software exist for identifying and measuring these cells using scanned hematoxylin and eosin (H&E)-stained slides. It is however unclear which one is the most appropriate for breast cancer (BC) samples. Here, we compared three software (AdipoCount, Adiposoft, and HALO®). HALO® outperformed the other methods with regard to adipocyte identification, (> 96% sensitivity and specificity). All software performed equally good with regard to area and diameter measurement (concordance correlation coefficients > 0.97 and > 0.96, respectively). We then analyzed a series of 10 BCE samples (n = 51 H&E slides) with HALO®. Distant adipocytes were defined >2 mm away from cancer cells or fibrotic region, whereas CAAs as the first three lines of adipocytes close to the invasive front. Intra-mammary heterogeneity was limited, implying that measuring a single region of ∼500 adipocytes provides a reliable estimation of the distribution of their size features. CAAs had smaller areas (median fold-change: 2.62) and diameters (median fold-change: 1.64) as compared to distant adipocytes in the same breast (both p = 0.002). The size of CAAs and distant adipocytes was associated with the body mass index (BMI) of the patient (area: rho = 0.89, p = 0.001; rho = 0.71, p = 0.027, diameter: rho = 0.87 p = 0.002; rho = 0.65 p = 0.049, respectively). To conclude, we demonstrate that quantifying adipocytes in BC sections is feasible by digital pathology using H&E sections, setting the basis for a standardized analysis of mammary adiposity in larger series of patients.
info:eu-repo/semantics/published
Databáze: OpenAIRE
Externí odkaz: