Gene expression profiling in breast cancer - Design of a pooled database to address open questions

M. Knauer; E. Wenzl; E. J.T. Rutgers; S. C. Linn; L. J. Van't Veer

doi:10.1007/s10353-009-0487-4

Gene expression profiling in breast cancer - Design of a pooled database to address open questions

M. Knauer^*, E. Wenzl, E. J.T. Rutgers, S. C. Linn, L. J. Van't Veer

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

3 Citations (Scopus)

Abstract

Background: The Netherlands Cancer Institute used DNA microarray analyses to identify a 70-gene expression profile strongly predictive of a short interval to distant metastases in breast cancer. For patients with small tumors, the signature is not yet adequately validated. Furthermore, 95% of estrogen-receptor or triple-negative tumors are assigned to poor prognosis by the profile. Methods: A pooled database was constructed containing clinical, pathological and microarray data of 1696 patients. The database will be used to study the performance of the 70-gene profile in patients with small-sized T1 tumors. In addition, patients with triple-negative tumors will be identified and whole genome microarray analysis will be performed of these tumors to develop a new prognostic gene expression profile for this subgroup. Results and conclusions: If the 70-gene profile is accurate for small tumors, patients at risk may be assigned to adjuvant treatment. A new prognostic classifier for triple-negative tumors may help to identify women, in whom adjuvant treatment may safely be omitted.

Original language	English
Pages (from-to)	221-227
Number of pages	7
Journal	European Surgery - Acta Chirurgica Austriaca
Volume	41
Issue number	5
DOIs	https://doi.org/10.1007/s10353-009-0487-4
Publication status	Published - Oct 2009
Externally published	Yes

Keywords

Breast cancer
Database
Gene expression profiling
Prognostic marker
Triple-negative
Tumor size

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10.1007/s10353-009-0487-4

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title = "Gene expression profiling in breast cancer - Design of a pooled database to address open questions",

abstract = "Background: The Netherlands Cancer Institute used DNA microarray analyses to identify a 70-gene expression profile strongly predictive of a short interval to distant metastases in breast cancer. For patients with small tumors, the signature is not yet adequately validated. Furthermore, 95% of estrogen-receptor or triple-negative tumors are assigned to poor prognosis by the profile. Methods: A pooled database was constructed containing clinical, pathological and microarray data of 1696 patients. The database will be used to study the performance of the 70-gene profile in patients with small-sized T1 tumors. In addition, patients with triple-negative tumors will be identified and whole genome microarray analysis will be performed of these tumors to develop a new prognostic gene expression profile for this subgroup. Results and conclusions: If the 70-gene profile is accurate for small tumors, patients at risk may be assigned to adjuvant treatment. A new prognostic classifier for triple-negative tumors may help to identify women, in whom adjuvant treatment may safely be omitted.",

keywords = "Breast cancer, Database, Gene expression profiling, Prognostic marker, Triple-negative, Tumor size",

author = "M. Knauer and E. Wenzl and Rutgers, {E. J.T.} and Linn, {S. C.} and {Van't Veer}, {L. J.}",

note = "Funding Information: M. Knauer has received unrestricted educational grants from the Austrian Society of Surgery and Agendia BV for his research. L. J. van{\textquoteright}t Veer is a stockholder and part-time employee of Agendia BV. Funding Information: This research project was supported by unrestricted research grants of the Austrian Society of Surgery and Agendia BV.",

year = "2009",

month = oct,

doi = "10.1007/s10353-009-0487-4",

language = "English",

volume = "41",

pages = "221--227",

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AU - Knauer, M.

AU - Wenzl, E.

AU - Rutgers, E. J.T.

AU - Linn, S. C.

AU - Van't Veer, L. J.

N1 - Funding Information: M. Knauer has received unrestricted educational grants from the Austrian Society of Surgery and Agendia BV for his research. L. J. van’t Veer is a stockholder and part-time employee of Agendia BV. Funding Information: This research project was supported by unrestricted research grants of the Austrian Society of Surgery and Agendia BV.

PY - 2009/10

Y1 - 2009/10

N2 - Background: The Netherlands Cancer Institute used DNA microarray analyses to identify a 70-gene expression profile strongly predictive of a short interval to distant metastases in breast cancer. For patients with small tumors, the signature is not yet adequately validated. Furthermore, 95% of estrogen-receptor or triple-negative tumors are assigned to poor prognosis by the profile. Methods: A pooled database was constructed containing clinical, pathological and microarray data of 1696 patients. The database will be used to study the performance of the 70-gene profile in patients with small-sized T1 tumors. In addition, patients with triple-negative tumors will be identified and whole genome microarray analysis will be performed of these tumors to develop a new prognostic gene expression profile for this subgroup. Results and conclusions: If the 70-gene profile is accurate for small tumors, patients at risk may be assigned to adjuvant treatment. A new prognostic classifier for triple-negative tumors may help to identify women, in whom adjuvant treatment may safely be omitted.

AB - Background: The Netherlands Cancer Institute used DNA microarray analyses to identify a 70-gene expression profile strongly predictive of a short interval to distant metastases in breast cancer. For patients with small tumors, the signature is not yet adequately validated. Furthermore, 95% of estrogen-receptor or triple-negative tumors are assigned to poor prognosis by the profile. Methods: A pooled database was constructed containing clinical, pathological and microarray data of 1696 patients. The database will be used to study the performance of the 70-gene profile in patients with small-sized T1 tumors. In addition, patients with triple-negative tumors will be identified and whole genome microarray analysis will be performed of these tumors to develop a new prognostic gene expression profile for this subgroup. Results and conclusions: If the 70-gene profile is accurate for small tumors, patients at risk may be assigned to adjuvant treatment. A new prognostic classifier for triple-negative tumors may help to identify women, in whom adjuvant treatment may safely be omitted.

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KW - Database

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KW - Prognostic marker

KW - Triple-negative

KW - Tumor size

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Gene expression profiling in breast cancer - Design of a pooled database to address open questions

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