Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma
By Torsten O. Nielsen, Forrest D. Hsu, Kristin Jensen, Maggie C. U. Cheang, G. Karaca, Zhiyuan Hu, Tina Hernandez-Boussard, C. Livasy, D. Cowan, L. Dressler and 6 more. Clinical Cancer Research, 2004
2,689 citations recorded by the source corpus.
Subfields: Cancer Research, Oncology, Pathology and Forensic Medicine
View Paper: https://www.semanticscholar.org/paper/049b7625662f20d4f9199006079ac636fa8db905
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In Cancer Research
- J. Reis-Filho
- Aleix Prat
- Jane E. Visvader
- Andrew Tutt
- Lisa A. Carey
- Ian O. Ellis
- A. Lluch
- Aviv Regev
In Oncology
- R. Weinberg
- Jane E. Visvader
- G. Moreno-Bueno
- G. Lindeman
- Aleix Prat
- Alan Ashworth
- Afshan Mccarthy
- J. Palacios
In Pathology and Forensic Medicine
- Aleix Prat
- J. Reis-Filho
- S. Leung
- Joe W. Gray
- Torsten O. Nielsen
- W. Foulkes
- R. Weinberg
- Frederick L. Baehner
Citations in the corpus
- An overview of triple-negative breast cancer (2016, background): “TNBC detected by IHC are EGFR, cKIT, cytokeratins 5/6, 14 and 17, p53, p15 and cyclin E [5] and are associated”
- Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors (2007, background): “As described above, the Brca1+/-;p53+/-;IR, some Brca1Co/Co;TgMMTV-Cre;p53+/, DMBA-induced, and TgMMTV-Wnt1 tumors stained positive for K5 by IF, and human basal-like tumors tend to stain positive using a K5/6 antibody [1,12,18,26], thus showing that basal-like tumors from both species share K5 prot”
- BRCA1 dysfunction in sporadic basal-like breast cancer (2007, methodology): “Basal-like cancers only infrequently express the oestrogen or progesterone receptor and rarely overexpress HER2 (Nielsen et al., 2004).”
- The Triple Negative Paradox: Primary Tumor Chemosensitivity of Breast Cancer Subtypes (2007, neutral): “markers could be used for molecular subtyping (6).”
- A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes. (2006, methodology): “, 2004] using published gene markers of in vivo histology (Abd El-Rehim et al., 2004; Cattoretti et al., 1988; Jones et al., 2004; Korsching et al., 2002; Nielsen et al., 2004; Simpson et al., 2004).”
- Triple-negative breast cancer molecular subtyping and treatment progress (2020, background): “The MSL subtype overexpresses angiogenesisrelated receptors PDGFR and VEGFR, which might make them susceptible to antiangiogenic therapy.”
- An embryonic stem cell–like gene expression signature in poorly differentiated aggressive human tumors (2008, background): “Basal-like tumors are mostly grade 3 and lack expression of the estrogen receptor, possessing a high proliferation rate and a high nucleus-to-cytoplasm volume rati”
- Epithelial-mesenchymal transition in breast cancer relates to the basal-like phenotype. (2008, positive): “This classification has also been reproduced to a certain extent in immunohistochemical studies (5, 6).”
- Molecular classification and molecular forecasting of breast cancer: ready for clinical application? (2005, background): “Importantly a very similar classification of breast cancers has now been characterized using immunohistochemistry to analyze patterns of protein expression in tumor sections and suggesting that a few protein biomarkers (eg, ER, progesterone receptor [PR], HER2, HER1, basal cytokeratins) can be used ”
- BRCA1 basal-like breast cancers originate from luminal epithelial progenitors and not from basal stem cells. (2010, background): “, 2010) (including both luminal and basal subtypes defined according to Nielsen’s criteria) (Nielsen et al., 2004) and in the NKI295 tumor gene expression data set (Table 1; Table S5; van de Vijver et al.”
- Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies. (2011, methodology): “In addition, recognition that finer tumor classification using expanded marker panels in addition to ER and PR may reveal greater heterogeneity (1), heightens the need for large datasets.”