Identification of molecular apocrine breast tumours by microarray analysis

By P. Farmer, Hervé Bonnefoi, V. Bécette, M. Tubiana‐Hulin, P. Fumoleau, D. Larsimont, G. MacGrogan, J. Bergh, D. Cameron, D. Goldstein and 6 more. Oncogene, 2005

804 citations recorded by the source corpus.

Subfields: Molecular Biology, Oncology, Pathology and Forensic Medicine

View Paper: https://www.semanticscholar.org/paper/0bf6626d9e61b580bfb73f0af24b74e9a67add00

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. J. Pollard
2. Binzhi Qian
3. K. Zaret
4. Luca Cassetta
5. Jiu-feng Li
6. R. Noy
7. T. Kitamura
8. Jason S. Carroll

In Oncology

1. J. Pollard
2. R. Noy
3. Binzhi Qian
4. T. Kitamura
5. Luca Cassetta
6. Jiu-feng Li
7. A. Mantovani
8. R. Weinberg

In Pathology and Forensic Medicine

1. M. J. van de Vijver

Citations in the corpus

• CCL2-induced chemokine cascade promotes breast cancer metastasis by enhancing retention of metastasis-associated macrophages (2015, background): “…promotes metastatic seeding of breast cancer cells Although the role of CCL3 in breast cancer metastasis remains unclear, oncomine search results (Farmer et al., 2005; Finak et al., 2008) indicated that CCL3 was up-regulated in breast cancer stroma and in basal-like invasive breast carcinoma…”
• Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. (2011, methodology): “BMolecular subtype determined by correlation with UNC/ intrinsic breast centroids (29).”
• Pioneer transcription factors: establishing competence for gene expression. (2011, background): “Molecular apocrine breast cancers are ER AR+ but express a gene expression pattern resembling an ER+ breast cancer (Farmer et al. 2005; Doane et al. 2006).”
• Gene expression profiling and histopathological characterization of triple-negative/basal-like breast carcinomas (2007, background): “described an apocrine tumor subtype based on gene-expression profiling that is characterized by AR expression, which distinguished these tumors from other basal-like tumors, but with similar poor survival [24].”
• Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures (2008, methodology): “Introduction Breast cancer is the disease most extensively studied by gene expression profiling of primary tumors from patient populations [1-21].”
• The presence of tumor associated macrophages in tumor stroma as a prognostic marker for breast cancer patients (2012, methodology): “To further evaluate the association between CD163 macrophages and different breast cancer subtypes, we analyzed the gene expression levels of CD163 in both basal-like and luminal breast cancer, using a publically available gene expression array dataset [GenBank: GDS1329] [21] from NCBI Gene Expressi”