Expert Commentary.

By D. L. Page. Histopathology, 2002

5,260 citations recorded by the source corpus.

Subfields: Cancer Research, Dermatology, Pathology and Forensic Medicine

View Paper: https://www.semanticscholar.org/paper/be0c367441ff6525043921c89be32420903a49d5

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In Cancer Research

In Dermatology

In Pathology and Forensic Medicine

Citations in the corpus

Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival (2011, methodology): “This semiquantitative morphological scoring scheme has been refined over the years ( 3 – 5 ) but still remains the standard technique for histologic grading in invasive breast cancer.”
Breast Cancer—Epidemiology, Risk Factors, Classification, Prognostic Markers, and Current Treatment Strategies—An Updated Review (2021, methodology): “The most widely used histologic grading system of breast cancer is the Elston-Ellis modification [185] of Scarff-Bloom-Richardson grading system [186], also known as the Nottingham grading system.”
Annual Report to the Nation on the Status of Cancer, 1975–2011, Featuring Incidence of Breast Cancer Subtypes by Race/Ethnicity, Poverty, and State (2015, background): “Non-Hispanic black women had highest rates of triple-negative, the highest rates of distant stage disease, and the highest rates of poorly/undifferentiated grade among all the subtypes, all of which are associated with lower survival (89,90), and corresponds with black women having the highest rates”
Interleukin-6 induces an epithelial–mesenchymal transition phenotype in human breast cancer cells (2009, methodology): “…the Nottingham combined histological grading system (Elston–Ellis modification of the Scarff–Bloom– Richardson grading system) for invasive breast cancers, which includes evaluation of morphological features, such as tubule formation, nuclear pleomorphism and mitotic count (Elston and Ellis, 1991).”
Automatic Nuclei Segmentation in H&E Stained Breast Cancer Histopathology Images (2013, background): “It is based on semiquantitative scoring of the degree of tubule formation, nuclear pleomorphism, and mitotic rate, which has proven to be prognostically strong [1].”
Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome (2011, background): “Contrasting with this diversity, meta-analyses of several outcome signatures have shown that they have essentially equivalent prognostic performances [35,36], and are highly correlated with proliferation [7–8,37], a predictor of breast cancer outcome that has been used for decades [38–40].”
Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study. (2010, methodology): “using the Elston and Ellis system.(9) ER status was derived centrally by immunohistochemistry.”