Genomic prediction of locoregional recurrence after mastectomy in breast cancer

Skye H. Cheng, Cheng Fang Horng, Mike West, Erich Huang, Jennifer Pittman, Mei Hua Tsou, Holly Dressman, Chii Ming Chen, Stella Y. Tsai, James J. Jian, Mei Chin Liu, Joseph R. Nevins, Andrew T. Huang

Research output: Contribution to journalArticle

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Abstract

Purpose: This study aims to explore gene expression profiles that are associated with locoregional (LR) recurrence in breast cancer after mastectomy. Patients and Methods: A total of 94 breast cancer patients who underwent mastectomy between 1990 and 2001 and had DNA microarray study on the primary tumor tissues were chosen for this study. Eligible patient should have no evidence of LR recurrence without postmastectomy radiotherapy (PMRT) after a minimum of 3-year follow-up (n = 67) and any LR recurrence (n = 27). They were randomly split into training and validation sets. Statistical classification tree analysis and proportional hazards models were developed to identify and validate gene expression profiles that relate to LR recurrence. Results: Our study demonstrates two sets of gene expression profiles (one with 258 genes and the other 34 genes) to be of predictive value with respect to LR recurrence. The overall accuracy of the prediction tree model in validation sets is estimated 75% to 78%. Of patients in validation data set, the 3-year LR control rate with predictive index more than 0.8 derived from 34-gene prediction models is 91%, and predictive index 0.8 or less is 40% (P = .008). Multivariate analysis of all patients reveals that estrogen receptor and genomic predictive index are independent prognostic factors that affect LR control. Conclusion: Using gene expression profiles to develop prediction tree models effectively identifies breast cancer patients who are at higher risk for LR recurrence. This gene expression-based predictive index can be used to select patients for PMRT.

Original languageEnglish (US)
Pages (from-to)4594-4602
Number of pages9
JournalJournal of Clinical Oncology
Volume24
Issue number28
DOIs
StatePublished - Oct 1 2006

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Mastectomy
Breast Neoplasms
Recurrence
Transcriptome
Radiotherapy
Genes
Oligonucleotide Array Sequence Analysis
Proportional Hazards Models
Estrogen Receptors
Multivariate Analysis
Gene Expression
Neoplasms

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Cheng, S. H., Horng, C. F., West, M., Huang, E., Pittman, J., Tsou, M. H., ... Huang, A. T. (2006). Genomic prediction of locoregional recurrence after mastectomy in breast cancer. Journal of Clinical Oncology, 24(28), 4594-4602. https://doi.org/10.1200/JCO.2005.02.5676

Genomic prediction of locoregional recurrence after mastectomy in breast cancer. / Cheng, Skye H.; Horng, Cheng Fang; West, Mike; Huang, Erich; Pittman, Jennifer; Tsou, Mei Hua; Dressman, Holly; Chen, Chii Ming; Tsai, Stella Y.; Jian, James J.; Liu, Mei Chin; Nevins, Joseph R.; Huang, Andrew T.

In: Journal of Clinical Oncology, Vol. 24, No. 28, 01.10.2006, p. 4594-4602.

Research output: Contribution to journalArticle

Cheng, SH, Horng, CF, West, M, Huang, E, Pittman, J, Tsou, MH, Dressman, H, Chen, CM, Tsai, SY, Jian, JJ, Liu, MC, Nevins, JR & Huang, AT 2006, 'Genomic prediction of locoregional recurrence after mastectomy in breast cancer', Journal of Clinical Oncology, vol. 24, no. 28, pp. 4594-4602. https://doi.org/10.1200/JCO.2005.02.5676
Cheng, Skye H. ; Horng, Cheng Fang ; West, Mike ; Huang, Erich ; Pittman, Jennifer ; Tsou, Mei Hua ; Dressman, Holly ; Chen, Chii Ming ; Tsai, Stella Y. ; Jian, James J. ; Liu, Mei Chin ; Nevins, Joseph R. ; Huang, Andrew T. / Genomic prediction of locoregional recurrence after mastectomy in breast cancer. In: Journal of Clinical Oncology. 2006 ; Vol. 24, No. 28. pp. 4594-4602.
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