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research article

Microfluidic-based immunohistochemistry for breast cancer diagnosis: a comparative clinical study

Aimi, Fabio  
•
Procopio, Maria-Giuseppina
•
Flores, Maria Teresa Alvarez
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September 1, 2019
Virchows Archiv

Breast cancer is a highly heterogeneous disease. The efficacy of tailored therapeutic strategies relies on the precise detection of diagnostic biomarkers by immunohistochemistry (IHC). Therefore, considering the increasing incidence of breast cancer cases, a concomitantly time-efficient and accurate diagnosis is clinically highly relevant. Microfluidics is a promising innovative technology in the field of tissue diagnostic, enabling for rapid, reliable, and automated immunostaining. We previously reported the microfluidic-based HER2 (human epidermal growth factor receptor 2) detection in breast carcinomas to greatly correlate with the HER2 gene amplification level. Here, we aimed to develop a panel of microfluidic-based IHC protocols for prognostic and therapeutic markers routinely assessed for breast cancer diagnosis, namely HER2, estrogen/progesterone receptor (ER/PR), and Ki67 proliferation factor. The microfluidic IHC protocol for each marker was optimized to reach high staining quality comparable to the standard procedure, while concomitantly shortening the staining time to 16 min-excluding deparaffinization and antigen retrieval step-with a turnaround time reduction up to 7 folds. Comparison of the diagnostic score on 50 formaldehyde-fixed paraffin-embedded breast tumor resections by microfluidic versus standard staining showed high concordance (overall agreement: HER2 94%, ER 95.9%, PR 93.6%, Ki67 93.7%) and strong correlation (rho coefficient: ER 0.89, PR 0.88, Ki67 0.87; p < 0.0001) for all the analyzed markers. Importantly, HER2 genetic reflex test for all discordant cases confirmed the scores obtained by the microfluidic technique. Overall, the microfluidic-based IHC represents a clinically validated equivalent approach to the standard chromogenic staining for rapid, accurate, and automated breast cancer diagnosis.

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Type
research article
DOI
10.1007/s00428-019-02616-7
Web of Science ID

WOS:000482470300004

Author(s)
Aimi, Fabio  
Procopio, Maria-Giuseppina
Flores, Maria Teresa Alvarez
Brouland, Jean-Philippe
Piazzon, Nathalie  
Brajkovic, Saska  
Dupouy, Diego Gabriel  
Gijs, Martin  
de Leval, Laurence
Date Issued

2019-09-01

Published in
Virchows Archiv
Volume

475

Issue

3

Start page

313

End page

323

Subjects

Pathology

•

microfluidic tissue processor

•

immunohistochemistry

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breast cancer

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMIS2  
Available on Infoscience
September 8, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/160946
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