Unknown,Transcriptomics,Genomics,Proteomics

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Radiation induced gene signature predicts pathologic complete response to neoadjuvant chemotherapy in breast cancer patients

ABSTRACT: Purpose:The identification of biomarkers predictive of neoadjuvant chemotherapy response in breast cancer patients would be an important advancement in personalized cancer therapy. We hypothesized that due to similarities between radiation and chemotherapy induced cellular response mechanisms, radiation responsive genes may be useful in predicting response to neoadjuvant chemotherapy. Materials and Methods: Murine p53 null breast cancer cell lines representative of the luminal, basal-like and claudin-low human breast cancer subtypes were irradiated to identify radiation responsive genes. These murine radiation induced genes were then converted to their human orthologs. These genes were then used to develop a predictor of pathologic complete response (pCR) that was validated on two independent published neoadjuvant chemotherapy data sets of genomic data with response. Results: A radiation induced gene signature consisting of 30 genes was identified on a training set of 337 human primary breast cancer tumor samples that was prognostic for survival. Mean expression of this signature was calculated for individual samples in two independent published datasets and was found to be significantly predictive of pathologic complete response. Multivariate logistic regression analysis in both independent datasets showed that this 30 gene signature added significant predictive information independent of that provided by standard clinical predictors and other gene expression based predictors of pathologic complete response. Conclusion: This study provides new biologic information regarding response to neoadjuvant chemotherapy and a means of possibly improving the prediction of pathologic complete response. reference x sample

ORGANISM(S): Mus musculus

SUBMITTER: Charles Perou

PROVIDER: E-GEOD-48073 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Radiation-induced gene signature predicts pathologic complete response to neoadjuvant chemotherapy in breast cancer patients.

Oh Daniel S DS Cheang Maggie C U MC Fan Cheng C Perou Charles M CM

Radiation research 20140214 2

The identification of biomarkers predictive of neoadjuvant chemotherapy response in breast cancer patients would be an important advancement in personalized cancer therapy. In this study, we hypothesized that due to similarities between radiation- and chemotherapy-induced cellular response mechanisms, radiation-responsive genes may be useful in predicting response to neoadjuvant chemotherapy. Murine p53 null breast cancer cell lines representative of the luminal, basal-like and claudin-low human ...[more]

PMID: 24527691

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Project description:Introduction: Over the past several years, we have been interested in understanding the mechanisms by which hormone-dependent (HD) mammary carcinomas grow in the absence of the stimulatory hormone. We have hypothesized that the stromal compartment plays a pivotal role in the acquisition of the hormone-independent (HI) phenotype by providing stimulatory factors that replace the proliferative effects of the hormone. Methods: We used DNA microarrays to compare the gene expression profiles of tumors from the MPA mouse breast cancer model, one hormone-dependent (C4-HD) and one hormone-independent (C4-HI), using whole tumor samples or laser-captured purified stromal and epithelial cells obtained from the same tumors. The expression of selected genes was validated by immunohistochemistry and immunofluorescence assays. Results: We identified 413 genes that were expressed in tumor stroma but not in epithelial cells. Eighty-five percent of these genes were upregulated, whereas the remaining 15% were downregulated in C4-HI tumors relative to their expression in the C4-HD tumor stroma. Several matrix metallopeptidases, including Mmp13, Mmp3, Mmp10 and Mmp9, were overexpressed in the C4-HI tumor microenvironment. On the other hand, 1100 genes were specifically expressed in the tumor parenchyma. Among them, the 29% were upregulated, whereas the remaining 71% were downregulated, in C4-HI relative to C4-HD tumor epithelium. Steap, Pdgfc, Runx2, Cxcl9 and Sdf2 were among the genes with high expression in the C4-HI tumor parenchyma. Interestingly, we found that Fgf2 was one of the few genes upregulated by MPA in C4-HD tumors, confirming its pivotal role in regulating tumor growth in this model. Conclusions: We demonstrate a gene expression profile that distinguishes epithelial from stromal cells in mammary tumors with different hormone dependence. Our results support the hypothesis that the tumor-associated stroma may contribute to hormone-independent tumor growth. The fact that Fgf2 was one of these few stimulatory genes is worth investigating. reference X sample

Dataset Information

Radiation induced gene signature predicts pathologic complete response to neoadjuvant chemotherapy in breast cancer patients

Publications

Radiation-induced gene signature predicts pathologic complete response to neoadjuvant chemotherapy in breast cancer patients.

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