Article Recommendations Abstract In this study we aimed to determine the optimal breast cancer genetic factors 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 automated cut-off setting generates objective and reproducible data and can be used in subsequent quantitative analyses.
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Keywords: the quantitative analysis ; breast cancer genetic factors ; inflammatory infiltrates ; breast cancer ; analiză cantitativă ; cut off ; infiltrat inflamator ; cancer mamar If the inline PDF is not rendering correctly, you can download the PDF file here. Cancer statistics DOI: Interactions between lymphocytes and myeloid cells breast cancer genetic factors pro- versus anti-tumor immunity.
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Genetica in cancerul mamar Introducere: Cancerul mamar este cel mai frecvent tip de cancer și principala cauză de mortalitate prin cancer la femei, la nivel mondial. Leziuni mamare benigne fibroză, chist simplu, hiperplazie, adenoză nonsclerozantă, tumoră filodă, papilom unic, necroză adipoasă, ectazie ductală, fibroză periductală, metaplazie apocrină și scuamoasă, calcificări epiteliale, lipom, hamartrom, hemangiom, neurofibrom, adenomioepiteliom. Mastita este o infecție la nivelul sânului, deci nu crește riscul de a dezvolta cancer mamar. Leziuni proliferative fără atipii: hiperplazie ductală fără atipii, fibroadenom, adenoză sclerozantă, papilomatoza, cicatrice radială.
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Cutoff Finder: a comprehensive and straightforward Web application enabling breast cancer genetic factors biomarker cutoff optimization.