Gene expression profiling and histopathological characterization of triple-negative/basal-like breast carcinomas
By B. Kreike, Marieke van Kouwenhove, H. Horlings, B. Weigelt, Hans J. Peterse, H. Bartelink, M. J. van de Vijver. Breast Cancer Research, 2007
617 citations recorded by the source corpus.
IntroductionBreast cancer is a heterogeneous group of tumors, and can be subdivided on the basis of histopathological features, genetic alterations and gene-expression profiles. One well-defined subtype of breast cancer is characterized by a lack of HER2 gene amplification and estrogen and progesterone receptor expression ('triple-negative tumors'). We examined the histopathological and gene-expression profile of triple-negative tumors to define subgroups with specific characteristics, including risk of developing distant metastases.Methods97 triple-negative tumors were selected from the fresh-frozen tissue bank of the Netherlands Cancer Institute, and gene-expression profiles were generated using 35K oligonucleotide microarrays. In addition, histopathological and immunohistochemical characterization was performed, and the findings were associated to clinical features.ResultsAll triple-negative tumors were classified as basal-like tumors on the basis of their overall gene-expression profile. Hierarchical cluster analysis revealed five distinct subgroups of triple-negative breast cancers. Multivariable analysis showed that a large amount of lymphocytic infiltrate (HR = 0.30, 95% CI 0.09–0.96) and absence of central fibrosis in the tumors (HR = 0.14, 95% CI 0.03–0.62) were associated with distant metastasis-free survival.ConclusionTriple-negative tumors are synonymous with basal-like tumors, and can be identified by immunohistochemistry. Based on gene-expression profiling, basal-like tumors are still heterogeneous and can be subdivided into at least five distinct subgroups. The development of distant metastasis in basal-like tumors is associated with the presence of central fibrosis and a small amount of lymphocytic infiltrate.
Subfields: Cancer Research, Epidemiology, Pathology and Forensic Medicine
View Paper: https://www.semanticscholar.org/paper/146f0f18a9026045b611d376f9ee069f123ee0c8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cancer Research
In Epidemiology
Citations in the corpus
- Molecular biology in breast cancer: intrinsic subtypes and signaling pathways. (2012, background): “They are not, however equivalent terms since a discordance of up to 30% between the two groups has been described.(37) Attempts to identify the basal-like group by an IHC profile have led to the selection of five markers (Basal Core Group): ER, PGR, HER2, EGFR and CK5/6.”
- Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. (2011, result): “A previous TNBC study identified 5 distinct hierarchical clusters in which 91% (88 of 97) of TNBCs identified by IHC correlated to the basal-like subtype (42).”