Gene Expression Profiles of Primary Breast Carcinomas from Patients at High Risk for Local Recurrence after Breast-Conserving Therapy

Purpose: Several risk factors for local recurrence of breast cancer after breast-conserving therapy (BCT) have been identified. The identification of additional risk factors would be very useful in guiding optimal therapy and also in improving understanding of the mechanisms underlying local recurre...

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Veröffentlicht in:Clinical cancer research 2006-10, Vol.12 (19), p.5705-5712
Hauptverfasser: KREIKE, Bas, HALFWERK, Hans, KRISTEL, Petra, GLAS, Annuska, PETERSE, Hans, BARTEIINK, Harry, VAN DE VIJVER, Marc J
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container_end_page 5712
container_issue 19
container_start_page 5705
container_title Clinical cancer research
container_volume 12
creator KREIKE, Bas
HALFWERK, Hans
KRISTEL, Petra
GLAS, Annuska
PETERSE, Hans
BARTEIINK, Harry
VAN DE VIJVER, Marc J
description Purpose: Several risk factors for local recurrence of breast cancer after breast-conserving therapy (BCT) have been identified. The identification of additional risk factors would be very useful in guiding optimal therapy and also in improving understanding of the mechanisms underlying local recurrence. We used cDNA microarray analysis to identify gene expression profiles associated with local recurrence. Experimental Design: Using 18K cDNA microarrays, gene expression profiles were obtained from 50 patients who underwent BCT. Of these 50 patients, 19 developed a local recurrence; the remaining 31 patients were selected as controls as they were free of local recurrence at least 11 years after treatment. For 9 of 19 patients, the local recurrence was also available for gene expression profiling. Unsupervised and supervised methods of classification were used to separate patients in groups corresponding to disease outcome and to study the overall gene expression pattern of primary tumors and their recurrences. Results: Hierarchical clustering of patients did not show any grouping reflecting local recurrence status. Supervised analysis revealed no significant set of genes that was able to distinguish recurring tumors from nonrecurring tumors. Paired-data analysis of primary tumors and local recurrences showed a remarkable similarity in gene expression profile between primary tumors and their recurrences. Conclusions: No significant differences in gene expression between primary breast cancer tumors in patients with or without local recurrence after BCT were identified. Furthermore, analyses of primary tumors and local recurrences show a preservation of the overall gene expression pattern in the local recurrence, even after radiotherapy.
doi_str_mv 10.1158/1078-0432.CCR-06-0805
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The identification of additional risk factors would be very useful in guiding optimal therapy and also in improving understanding of the mechanisms underlying local recurrence. We used cDNA microarray analysis to identify gene expression profiles associated with local recurrence. Experimental Design: Using 18K cDNA microarrays, gene expression profiles were obtained from 50 patients who underwent BCT. Of these 50 patients, 19 developed a local recurrence; the remaining 31 patients were selected as controls as they were free of local recurrence at least 11 years after treatment. For 9 of 19 patients, the local recurrence was also available for gene expression profiling. Unsupervised and supervised methods of classification were used to separate patients in groups corresponding to disease outcome and to study the overall gene expression pattern of primary tumors and their recurrences. Results: Hierarchical clustering of patients did not show any grouping reflecting local recurrence status. Supervised analysis revealed no significant set of genes that was able to distinguish recurring tumors from nonrecurring tumors. Paired-data analysis of primary tumors and local recurrences showed a remarkable similarity in gene expression profile between primary tumors and their recurrences. Conclusions: No significant differences in gene expression between primary breast cancer tumors in patients with or without local recurrence after BCT were identified. Furthermore, analyses of primary tumors and local recurrences show a preservation of the overall gene expression pattern in the local recurrence, even after radiotherapy.</description><identifier>ISSN: 1078-0432</identifier><identifier>EISSN: 1557-3265</identifier><identifier>DOI: 10.1158/1078-0432.CCR-06-0805</identifier><identifier>PMID: 17020974</identifier><language>eng</language><publisher>Philadelphia, PA: American Association for Cancer Research</publisher><subject>Adult ; Antineoplastic agents ; Biological and medical sciences ; Biomarkers, Tumor - genetics ; Biomarkers, Tumor - metabolism ; breast cancer ; breast conserving therapy ; Breast Neoplasms - genetics ; Breast Neoplasms - metabolism ; Breast Neoplasms - surgery ; Carcinoma, Ductal, Breast - genetics ; Carcinoma, Ductal, Breast - metabolism ; Carcinoma, Ductal, Breast - surgery ; Carcinoma, Lobular - genetics ; Carcinoma, Lobular - metabolism ; Carcinoma, Lobular - surgery ; Female ; Gene Expression Profiling ; Gynecology. Andrology. Obstetrics ; Humans ; local recurrence ; Mammary gland diseases ; Mastectomy, Segmental ; Medical sciences ; microarray ; Middle Aged ; Neoplasm Recurrence, Local - diagnosis ; Neoplasm Recurrence, Local - genetics ; Neoplasm Recurrence, Local - metabolism ; Neoplasm Staging ; Oligonucleotide Array Sequence Analysis ; Pharmacology. 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The identification of additional risk factors would be very useful in guiding optimal therapy and also in improving understanding of the mechanisms underlying local recurrence. We used cDNA microarray analysis to identify gene expression profiles associated with local recurrence. Experimental Design: Using 18K cDNA microarrays, gene expression profiles were obtained from 50 patients who underwent BCT. Of these 50 patients, 19 developed a local recurrence; the remaining 31 patients were selected as controls as they were free of local recurrence at least 11 years after treatment. For 9 of 19 patients, the local recurrence was also available for gene expression profiling. Unsupervised and supervised methods of classification were used to separate patients in groups corresponding to disease outcome and to study the overall gene expression pattern of primary tumors and their recurrences. Results: Hierarchical clustering of patients did not show any grouping reflecting local recurrence status. Supervised analysis revealed no significant set of genes that was able to distinguish recurring tumors from nonrecurring tumors. Paired-data analysis of primary tumors and local recurrences showed a remarkable similarity in gene expression profile between primary tumors and their recurrences. Conclusions: No significant differences in gene expression between primary breast cancer tumors in patients with or without local recurrence after BCT were identified. Furthermore, analyses of primary tumors and local recurrences show a preservation of the overall gene expression pattern in the local recurrence, even after radiotherapy.</description><subject>Adult</subject><subject>Antineoplastic agents</subject><subject>Biological and medical sciences</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>breast cancer</subject><subject>breast conserving therapy</subject><subject>Breast Neoplasms - genetics</subject><subject>Breast Neoplasms - metabolism</subject><subject>Breast Neoplasms - surgery</subject><subject>Carcinoma, Ductal, Breast - genetics</subject><subject>Carcinoma, Ductal, Breast - metabolism</subject><subject>Carcinoma, Ductal, Breast - surgery</subject><subject>Carcinoma, Lobular - genetics</subject><subject>Carcinoma, Lobular - metabolism</subject><subject>Carcinoma, Lobular - surgery</subject><subject>Female</subject><subject>Gene Expression Profiling</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Humans</subject><subject>local recurrence</subject><subject>Mammary gland diseases</subject><subject>Mastectomy, Segmental</subject><subject>Medical sciences</subject><subject>microarray</subject><subject>Middle Aged</subject><subject>Neoplasm Recurrence, Local - diagnosis</subject><subject>Neoplasm Recurrence, Local - genetics</subject><subject>Neoplasm Recurrence, Local - metabolism</subject><subject>Neoplasm Staging</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Pharmacology. 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Andrology. Obstetrics</topic><topic>Humans</topic><topic>local recurrence</topic><topic>Mammary gland diseases</topic><topic>Mastectomy, Segmental</topic><topic>Medical sciences</topic><topic>microarray</topic><topic>Middle Aged</topic><topic>Neoplasm Recurrence, Local - diagnosis</topic><topic>Neoplasm Recurrence, Local - genetics</topic><topic>Neoplasm Recurrence, Local - metabolism</topic><topic>Neoplasm Staging</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Pharmacology. 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The identification of additional risk factors would be very useful in guiding optimal therapy and also in improving understanding of the mechanisms underlying local recurrence. We used cDNA microarray analysis to identify gene expression profiles associated with local recurrence. Experimental Design: Using 18K cDNA microarrays, gene expression profiles were obtained from 50 patients who underwent BCT. Of these 50 patients, 19 developed a local recurrence; the remaining 31 patients were selected as controls as they were free of local recurrence at least 11 years after treatment. For 9 of 19 patients, the local recurrence was also available for gene expression profiling. Unsupervised and supervised methods of classification were used to separate patients in groups corresponding to disease outcome and to study the overall gene expression pattern of primary tumors and their recurrences. Results: Hierarchical clustering of patients did not show any grouping reflecting local recurrence status. Supervised analysis revealed no significant set of genes that was able to distinguish recurring tumors from nonrecurring tumors. Paired-data analysis of primary tumors and local recurrences showed a remarkable similarity in gene expression profile between primary tumors and their recurrences. Conclusions: No significant differences in gene expression between primary breast cancer tumors in patients with or without local recurrence after BCT were identified. Furthermore, analyses of primary tumors and local recurrences show a preservation of the overall gene expression pattern in the local recurrence, even after radiotherapy.</abstract><cop>Philadelphia, PA</cop><pub>American Association for Cancer Research</pub><pmid>17020974</pmid><doi>10.1158/1078-0432.CCR-06-0805</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Antineoplastic agents
Biological and medical sciences
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
breast cancer
breast conserving therapy
Breast Neoplasms - genetics
Breast Neoplasms - metabolism
Breast Neoplasms - surgery
Carcinoma, Ductal, Breast - genetics
Carcinoma, Ductal, Breast - metabolism
Carcinoma, Ductal, Breast - surgery
Carcinoma, Lobular - genetics
Carcinoma, Lobular - metabolism
Carcinoma, Lobular - surgery
Female
Gene Expression Profiling
Gynecology. Andrology. Obstetrics
Humans
local recurrence
Mammary gland diseases
Mastectomy, Segmental
Medical sciences
microarray
Middle Aged
Neoplasm Recurrence, Local - diagnosis
Neoplasm Recurrence, Local - genetics
Neoplasm Recurrence, Local - metabolism
Neoplasm Staging
Oligonucleotide Array Sequence Analysis
Pharmacology. Drug treatments
Prognosis
Prospective Studies
Risk Factors
Tumors
title Gene Expression Profiles of Primary Breast Carcinomas from Patients at High Risk for Local Recurrence after Breast-Conserving Therapy
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