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Gene expression profiling in breast cancer – design of a pooled database to address open questions

Mammakarzinom: Genexpressionsprofil

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Zusammenfassung

GRUNDLAGEN: Das Netherlands Cancer Institute hat DNA-microarrays zur Identifizierung eines 70-Gen-Expressionsprofils verwendet, welches ein signifikant kürzeres Intervall bis zur Fernmetastasierung beim Mammakarzinom voraussagen kann. Für Patientinnen mit kleinen Tumoren ist das 70-Genprofil noch nicht ausreichend validiert. Außerdem werden 95 % aller Patienten mit triple-negativen Tumoren in die Hochrisikogruppe eingeteilt, obwohl 50 % keine Metastasen entwickeln werden. METHODIK: Eine Datenbank mit klinischen, pathologischen und microarray-Daten von 1696 Patientinnen wurde konstruiert, um die folgenden wissenschaftlichen Fragestellungen zu beantworten: 1. Validierung des 70-Genprofils bei kleinen T1-Tumoren und 2. Identifizierung von triple-negativen Tumoren und Durchführung von DNA-mircoarrays, um ein neues Genexpressionsprofil für diese Subgruppe zu finden. ERGEBNISSE UND SCHLUSSFOLGERUNGEN: Falls das 70-Genprofil für kleine Tumoren prädiktiv ist, könnten diese Patientinnen einer adjuvanten Therapie zugeführt werden. Das neue Profil für triple-negative Tumoren könnte Patientinnen identifizieren, bei denen sicher auf adjuvante Therapie verzichtet werden kann.

Summary

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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Authors and Affiliations

  1. Department of General and Thoracic Surgery, Academic Teaching Hospital Feldkirch, Feldkirch, Austria

    M. Knauer, E. Wenzl & L. J. van't Veer

  2. Division of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands

    M. Knauer & E. J. T. Rutgers

  3. Private University UFL, Principality of Liechtenstein, Triesen

    M. Knauer

  4. Division of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands

    S. C. Linn

Authors
  1. M. Knauer
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  2. E. Wenzl
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  3. E. J. T. Rutgers
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  4. S. C. Linn
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  5. L. J. van't Veer
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Correspondence to M. Knauer.

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Knauer, M., Wenzl, E., Rutgers, E. et al. Gene expression profiling in breast cancer – design of a pooled database to address open questions. Eur Surg 41, 221–227 (2009). https://doi.org/10.1007/s10353-009-0487-4

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  • DOI: https://doi.org/10.1007/s10353-009-0487-4

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