1. Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis
- Author
-
Pratyaksha Wirapati, Denis Larsimont, Steve Fox, Sherene Loi, Hans Nordgren, Marc Buyse, Martine Piccart, Pierre Farmer, Mauro Delorenzi, Marc J. van de Vijver, Dimitry S.A. Nuyten, Christos Sotiriou, Hans Peterse, Johanna Smeds, Jonas Bergh, Christine Desmedt, Fatima Cardoso, Benjamin Haibe-Kains, Viviane Praz, and Adrian L. Harris
- Subjects
Oncology ,Cancer Research ,medicine.medical_specialty ,Pathology ,Breast Neoplasms ,Disease-Free Survival ,Breast cancer ,MammaPrint ,Risk Factors ,Internal medicine ,medicine ,Humans ,Mathematical Computing ,Grading (tumors) ,Cell Proliferation ,Oligonucleotide Array Sequence Analysis ,Proportional Hazards Models ,medicine.diagnostic_test ,business.industry ,Proportional hazards model ,Gene Expression Profiling ,Cell Cycle ,Hazard ratio ,Cancer ,Anatomical pathology ,Middle Aged ,Prognosis ,medicine.disease ,Gene Expression Regulation, Neoplastic ,Gene expression profiling ,Receptors, Estrogen ,Lymphatic Metastasis ,Multivariate Analysis ,Female ,business - Abstract
Background: Histologic grade in breast cancer provides clinically important prognostic information. However, 30% – 60% of tumors are classifi ed as histologic grade 2. This grade is associated with an intermediate risk of recurrence and is thus not informative for clinical decision making. We examined whether histologic grade was associated with gene expression profi les of breast cancers and whether such profi les could be used to improve histologic grading. Methods: We analyzed microarray data from 189 invasive breast carcinomas and from three published gene expression datasets from breast carcinomas. We identifi ed differentially expressed genes in a training set of 64 estrogen receptor (ER) – positive tumor samples by comparing expression profi les between histologic grade 3 tumors and histologic grade 1 tumors and used the expression of these genes to defi ne the gene expression grade index. Data from 597 independent tumors were used to evaluate the association between relapse-free survival and the gene expression grade index in a Kaplan – Meier analysis. All statistical tests were two-sided. Results: We identifi ed 97 genes in our training set that were associated with histologic grade; most of these genes were involved in cell cycle regulation and proliferation. In validation datasets, the gene expression grade index was strongly associated with histologic grade 1 and 3 status; however, among histologic grade 2 tumors, the index spanned the values for histologic grade 1 – 3 tumors. Among patients with histologic grade 2 tumors, a high gene expression grade index was associated with a higher risk of recurrence than a low gene expression grade index (hazard ratio = 3.61, 95% confi dence interval = 2.25 to 5.78; P
- Published
- 2006
- Full Text
- View/download PDF