<abstract xmlns="http://www.w3.org/1999/xhtml"><p> In this study we aimed to determine the optimal cut-off point for the quantitative analysis of inflammatory infiltrates in breast cancer, using the HistoQuest system. We used samples of tumour breast tissue which were IHC stained with CD68 and CD8 and subsequently tested with automated systems on three regions: intratumoral, invasive front and peritumoral, using the HistoQuest system. In order to delimit between positive and negative cells on histograms and scattergrams, we need to set a cut-off value. We compared 5 cut-off types for optimisation of the quantitative analysis. The results obtained statistically for the CD8 marker for all 5 types of cut-offs applied on IT, PT and IF regions did not show statistically significant differences (p > 0.05). As for the CD68 marker, we found statistically significant differences (p &lt; 0.05) between manual cut-offs (C2 - manual and C3 - manual, arithmetic mean) and automated cut-offs placed by the software (C1 - automated, C4 - negative region, and C5 - automated, arithmetic mean), which suggests that the use of an automated cut-off should be preferred in order to remove the subjective factor. The automated cut-off setting generates objective and reproducible data and can be used in subsequent quantitative analyses.</p></abstract>

In this study we aimed to determine the optimal cut-off point for the quantitative analysis of inflammatory infiltrates in breast cancer, using the HistoQuest system. We used samples of tumour breast tissue which were IHC stained with CD68 and CD8 and subsequently tested with automated systems on three regions: intratumoral, invasive front and peritumoral, using the HistoQuest system. In order to delimit between positive and negative cells on histograms and scattergrams, we need to set a cut-off value. We compared 5 cut-off types for optimisation of the quantitative analysis. The results obtained statistically for the CD8 marker for all 5 types of cut-offs applied on IT, PT and IF regions did not show statistically significant differences (p > 0.05). As for the CD68 marker, we found statistically significant differences (p < 0.05) between manual cut-offs (C2 - manual and C3 - manual, arithmetic mean) and automated cut-offs placed by the software (C1 - automated, C4 - negative region, and C5 - automated, arithmetic mean), which suggests that the use of an automated cut-off should be preferred in order to remove the subjective factor. The automated cut-off setting generates objective and reproducible data and can be used in subsequent quantitative analyses.

Optimisation of the quantitative analysis of inflammatory cell infiltrates in breast cancer /Optimizarea analizei cantitative a infiltratului celular inflamator în cancerul mamar

Department of Oncology, Regional Institute of Oncology, Iaşi, România;

Department of Anatomy Sciences - “Grigore T. Popa” University of Medicine and Pharmacy, Iaşi, România

Laboratory of Immunology and Genetics, Regional Institute of Oncology Iaşi, România;

Department of Pathology, Regional Institute of Oncology, Iaşi, România

Laboratory of Immunology and Genetics, Regional Institute of Oncology Iaşi, România

Revista Romana de Medicina de Laborator

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In this study we aimed to determine the optimal cut-off point for the quantitative analysis of inflammatory infiltrates in breast cancer, using the HistoQuest...

Optimisation of the quantitative analysis of inflammatory cell infiltrates in breast cancer /Optimizarea analizei cantitative a infiltratului celular inflamator în cancerul mamar

Published Online: Oct 08, 2014

Page range: 335 - 345

Received: Apr 09, 2014

Accepted: Sep 01, 2014

DOI: https://doi.org/10.2478/rrlm-2014-0035

© by Anca-Raluca Vrânceanu

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.