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A Brief Overview of the WHO Classification of Breast Tumors, 4th Edition, Focusing on Issues and Updates from the 3rd Edition

Hans-Peter Sinn, +1 more
- 01 May 2013 - 
- Vol. 8, Iss: 2, pp 149-154
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TLDR
This review of the WHO classification of Tumors of the Breast has focused on invasive carcinomas, precursor lesions, and some benign epithelial proliferations.
Abstract
The WHO Classification of Tumors of the Breast, 4th edition, is an update to the 3rd edition that was published in 2003, and covers all neoplastic and preneoplastic lesions of the breast. Changes to the 4th edition include new aspects and changes to the terminology that reflect our present-day knowledge of these lesions. Definitions for histopathological diagnosis are complemented by a description of clinical features, epidemiology, macroscopy, genetics, and prognostic and predictive features. In this review of the WHO classification, we have focused on invasive carcinomas, precursor lesions, and some benign epithelial proliferations.

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Analysis of the pathogenic variants of BRCA1 and BRCA2 using next-generation sequencing in women with familial breast cancer: a case-control study.

TL;DR: The results indicate that clinical data should be evaluated before genetic testing and highly recommend genetic testing in patients with the triple-negative subtype and other clinical aspects.
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Breast Cancer and the Other Non-Coding RNAs

TL;DR: In this article, the authors summarized the known abnormalities in the function and expression of long non-coding RNAs, Piwi interacting RNAs and small nucleolar RNAs in breast cancer, and how these abnormalities affect the development of this deadly disease.
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Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade.

TL;DR: In this article, the authors investigated whether radiomics features extracted from magnetic resonance imaging (MRI) of patients with biopsy-proven atypical ductal hyperplasia coupled with machine learning can differentiate high-risk lesions that will upgrade to malignancy at surgery from those that will not, and to determine if qualitatively and semi-quantitatively assessed imaging features, clinical factors, and image-guided biopsy technical factors are associated with upgrade rate.
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Prevalence of Histological Characteristics of Breast Cancer in Rwanda in Relation to Age and Tumor Stages

TL;DR: The findings revealed the predominance of hormonal negative tumors among Rwandan patients with breast cancer and triple negative was found to be the most common breast tumor subtype regardless of age and tumor stage.
References
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:A long term follow-up study

TL;DR: This study showed poor long-term results of the posterior bone block procedure for posterior instability and a high rate of glenohumeral osteoarthritis although three patients with post-traumatic instability were pleased with the result of their operations.
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Atypical hyperplastic lesions of the female breast. A long-term follow-up study.

TL;DR: The authors conclude that among the epithelial hyperplastic lesions of the human breast, a minority may be recognized by their resemblance to CIS which have a clinically significant elevation of subsequent breast cancer risk.
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