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Young Age at Diagnosis Correlates With Worse Prognosis and Defines a Subset of Breast Cancers With Shared Patterns of Gene Expression

Open access
Anders, Carey K., Hsu, David S., Broadwater, Gloria, Acharya, Chaitanya R., Foekens, John A., Zhang, Yi, Wang, Yixin, Marcom, P. Kelly, Marks, Jeffrey R., Febbo, Phillip G., Nevins, Joseph R., Potti, Anil, Blackwell, Kimberly L.·2008·Journal of Clinical Oncology

Abstract

Purpose: Breast cancer arising in young women is correlated with inferior survival and higher incidence of negative clinicopathologic features. The biology driving this aggressive disease has yet to be defined. Patients and Methods: Clinically annotated, microarray data from 784 early-stage breast cancers were identified, and prospectively defined, age-specific cohorts (young: ≤ 45 years, n = 200; older: ≥ 65 years, n = 211) were compared by prognosis, clinicopathologic variables, mRNA expression values, single-gene analysis, and gene set enrichment analysis (GSEA). Univariate and multivariate analyses were performed. Results: Using clinicopathologic variables, young women illustrated lower estrogen receptor (ER) positivity (immunohistochemistry [IHC], P = .027), larger tumors (P = .012), higher human epidermal growth factor receptor 2 (HER-2) overexpression (IHC, P = .075), lymph node positivity (P = .008), higher grade tumors (P < .0001), and trends toward inferior disease-free survival (DFS; hazard ratio = 1.32; P = .094). Using genomic expression analysis, tumors arising in young women had significantly lower ERα mRNA (P < .0001), ERβ (P = .02), and progesterone receptor (PR) expression (P < .0001), but higher HER-2 (P < .0001) and epidermal growth factor receptor (EGFR) expression (P < .0001). Exploratory analysis (GSEA) revealed 367 biologically relevant gene sets significantly distinguishing breast tumors arising in young women. Combining clinicopathologic and genomic variables among tumors arising in young women demonstrated that younger age and lower ERβ and higher EGFR mRNA expression were significant predictors of inferior DFS. Conclusion: This large-scale genomic analysis illustrates that breast cancer arising in young women is a unique biologic entity driven by unifying oncogenic signaling pathways, is characterized by less hormone sensitivity and higher HER-2/EGFR expression, and warrants further study to offer this poor-prognosis group of women better preventative and therapeutic options.

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Metadata

Authors
Anders, C. K., Hsu, D. S., Broadwater, G., Acharya, C. R., Foekens, J. A., Zhang, Y., Wang, Y., Marcom, P. K., Marks, J. R., Febbo, P. G., Nevins, J. R., Potti, A., & Blackwell, K. L.
Venue
Journal of Clinical Oncology
Published
2008-07-10
Volume
26
Issue
20
Pages
3324-3330
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2161849165
Cited by
911
References
3
FWCI
11.12
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Young Age at Diagnosis Correlates With Worse Prognosis and Defines a Subset of Breast Cancers With Shared Patterns of Gene Expression. https://app.cochat.ai/papers/10.1200/jco.2007.14.2471
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Anders, C. K., Hsu, D. S., Broadwater, G., Acharya, C. R., Foekens, J. A., Zhang, Y., Wang, Y., Marcom, P. K., Marks, J. R., Febbo, P. G., Nevins, J. R., Potti, A., & Blackwell, K. L. (2008). Young Age at Diagnosis Correlates With Worse Prognosis and Defines a Subset of Breast Cancers With Shared Patterns of Gene Expression. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2007.14.2471

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.