Classification and prognosis of invasive breast cancer: from morphology to molecular taxonomy

Schnitt, Stuart J

doi:10.1038/modpathol.2010.33

Cited by 419Breast Cancer Treatment StudiesBreast Lesions and CarcinomasBRCA gene mutations in cancer

Classification and prognosis of invasive breast cancer: from morphology to molecular taxonomy

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Schnitt, Stuart J·2010·Modern Pathology

DOI 10.1038/modpathol.2010.33

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Abstract

For many years, patient age, axillary lymph node status, tumor size, histological features (especially histological grade and lymphovascular invasion), hormone receptor status, and HER2 status have been the major factors used to categorize patients with breast cancer in order to assess prognosis and determine the appropriate therapy. These factors are most often viewed in combination to group patients into various risk categories. Although these risk categories are useful for assessing prognosis and risk in groups of patients with breast cancer, their role in determining prognosis and evaluating risk in an individual patient is more limited. Therefore, better methods are required to help assess prognosis and determine the most appropriate treatment for patients on an individual basis. Recently, various molecular techniques, particular gene expression profiling, have been increasingly used to help refine breast cancer classification and to assess prognosis and response to therapy. Although the precise role of these newer techniques in the daily management of patients with breast cancer continues to evolve, it is clear that they have the potential to provide value above and beyond that provided by the traditional clinical and pathological prognostic and predictive factors.

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Authors: Schnitt, S. J.
Affiliations: Beth Israel Deaconess Medical Center (US)
Corresponding author: Schnitt, Stuart J
ORCID: Schnitt, Stuart J
Venue: Modern Pathology
Publisher: Elsevier BV
Published: 2010-05
Volume: 23
Pages: S60-S64
ISSN: 0893-3952 (ISSN-L)
DOI: 10.1038/modpathol.2010.33
OpenAlex: W1967186439
Cited by: 419
References: 56
Citations by year: 2026: 7 · 2025: 9 · 2024: 19 · 2023: 21 · 2022: 30 · 2021: 46 · 2020: 23 · 2019: 26 · 2018: 31 · 2017: 54 · 2016: 42 · 2015: 42 · 2014: 33 · 2013: 14 · 2012: 16
FWCI: 0.96
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 4638 d)
Locations: Modern Pathology (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
Health Sciences › Medicine › Pathology and Forensic Medicine › Breast Lesions and Carcinomas
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
Keywords: invasive breast cancer, breast cancer classification, prognosis, molecular taxonomy, gene expression profiling, risk stratification, histological grade, lymphovascular invasion, hormone receptor status, HER2 status, predictive biomarkers, personalized treatment
MeSH terms: Breast Neoplasms, Female, Humans, Prognosis, Gene Expression Profiling

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Classification and prognosis of invasive breast cancer: from morphology to molecular taxonomy

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