Size and Shape Filtering of Malignant Cell Clusters within Breast Tumors Identifies Scattered Individual Epithelial Cells as the Most Valuable Histomorphological Clue in the Prognosis of Distant Metastasis Risk
| Autor: | Marko Radulovic, Velicko Vranes, Xingyu Li, Jelena Milovanović, Ksenija Kanjer, Nebojša T. Milošević, Konstantinos N. Plataniotis, Nemanja Rajkovic, Nataša Todorović Raković |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Cancer Research medicine.medical_specialty Pathology tumor budding lcsh:RC254-282 Article individual cell Metastasis particle analysis 03 medical and health sciences 0302 clinical medicine Breast cancer breast cancer pan-cytokeratin Tumor budding image analysis medicine Malignant cells metastasis Lymph node Receiver operating characteristic business.industry Distant metastasis medicine.disease invasion lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens 3. Good health tumor cell dissociation 030104 developmental biology medicine.anatomical_structure Oncology 030220 oncology & carcinogenesis histopathology Histopathology prognosis business |
| Zdroj: | Cancers, Vol 11, Iss 10, p 1615 (2019) Cancers Volume 11 Issue 10 |
| ISSN: | 2072-6694 |
| Popis: | Survival and life quality of breast cancer patients could be improved by more aggressive chemotherapy for those at high metastasis risk and less intense treatments for low-risk patients. Such personalized treatment cannot be currently achieved due to the insufficient reliability of metastasis risk prognosis. The purpose of this study was therefore, to identify novel histopathological prognostic markers of metastasis risk through exhaustive computational image analysis of 80 size and shape subsets of epithelial clusters in breast tumors. The group of 102 patients had a follow-up median of 12.3 years, without lymph node spread and systemic treatments. Epithelial cells were stained by the AE1/AE3 pan-cytokeratin antibody cocktail. The size and shape subsets of the stained epithelial cell clusters were defined in each image by use of the circularity and size filters and analyzed for prognostic performance. Epithelial areas with the optimal prognostic performance were uniformly small and round and could be recognized as individual epithelial cells scattered in tumor stroma. Their count achieved an area under the receiver operating characteristic curve (AUC) of 0.82, total area (AUC = 0.77), average size (AUC = 0.63), and circularity (AUC = 0.62). In conclusion, by use of computational image analysis as a hypothesis-free discovery tool, this study reveals the histomorphological marker with a high prognostic value that is simple and therefore easy to quantify by visual microscopy. |
| Databáze: | OpenAIRE |
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