Molecular classification and molecular forecasting of breast cancer: ready for clinical application?

By James D. Brenton, Lisa A. Carey, A. Ahmed, Carlos Caldas. Journal of Clinical Oncology, 2005

970 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/2ddb1e0c90e050da00ad9368b9aacb39cd2dfb76

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

1. J. Reis-Filho
2. K. J. Chavez
3. Andrew Tutt
4. S. Garimella
5. Zhonghu Bai
6. Xiaofeng Dai
7. S. Lipkowitz

In Molecular Biology

1. J. Reis-Filho
2. Andrew Tutt
3. Zhonghu Bai
4. Xiaofeng Dai

Citations in the corpus

• Breast cancer intrinsic subtype classification, clinical use and future trends. (2015, background): “Luminal tumors response well to hormone therapy but poorly to conventional chemotherapy [27].”
• Triple Negative Breast Cancer Cell Lines: One Tool in the Search for Better Treatment of Triple Negative Breast Cancer (2010, background): “Importantly, the study by Livasy et al. categorized tumors as luminal, basal, or HER-2/Neu amplified by cDNA microarray expression profiling and found that 17 of 18 triple-negative/basal-like tumors had strong and diffuse vimentin staining in the tumor cells [49].”
• bc-GenExMiner: an easy-to-use online platform for gene prognostic analyses in breast cancer (2012, background): “Large numbers of data and independent data sets, which represent various preanalytical (tumour dissection, freezing delay, storage conditions) and analytical (different cohorts and genomic protocols [RNA isolation, probe preparation and labelling, hybridisation, microarray platforms]) conditions, wo”
• Triple negative tumours: a critical review (2007, background): “The class discovery expression profile studies pioneered by the Stanford group have demonstrated that the morphological heterogeneity of breast cancer can be recapitulated and systematically classified at the transcriptomic level.(7,8) These studies have shown that the expression profiles of breast ”
• Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-negative Breast Cancer (2014, neutral): “Medullary carcinoma 2 (1) 0 (0) 2 (2) Burstein et al.”