Literature DB >> 20094918

Metastatic potential of T1 breast cancer can be predicted by the 70-gene MammaPrint signature.

Stella Mook1, Michael Knauer, Jolien M Bueno-de-Mesquita, Valesca P Retel, Jelle Wesseling, Sabine C Linn, Laura J Van't Veer, Emiel J Rutgers.   

Abstract

BACKGROUND: Mammographic screening and increased awareness has led to an increase in the detection of T1 breast tumors that are generally estimated as having low risk of recurrence after locoregional treatment. However, even small tumors can metastasize, which leaves us with the question for the necessity of adjuvant treatment. Therefore, additional prognostic markers are needed to tailor adjuvant systemic treatment for these relatively low-risk patients. The aim of our study was to evaluate the accuracy of the 70-gene MammaPrint signature in T1 breast cancer.
MATERIALS AND METHODS: We selected 964 patients from previously reported studies with pT1 tumors (<or=2 cm). Frozen tumor samples were hybridized on the 70-gene signature array at the time of the initial study and classified as having good prognosis or poor prognosis.
RESULTS: The median follow-up was 7.1 years (range 0.2-25.2). The 10-year distant metastasis-free (DMFS) and breast cancer specific survival (BCSS) probabilities were 87% (SE 2%) and 91% (SE 2%), respectively, for the good prognosis-signature group (n = 525), and 72% (SE 3%) and 72% (SE 3%), respectively, for the poor prognosis-signature group (n = 439). The signature was an independent prognostic factor for BCSS at 10 years (multivariate hazard ratio [HR] 3.25 [95% confidence interval, CI, 1.92-5.51; P < .001]). Moreover, the 70-gene MammaPrint signature predicted DMFS at 10 years for 139 patients with pT1ab cancers (HR 3.45 [95% CI 1.04-11.50, P = .04]).
CONCLUSIONS: The 70-gene MammaPrint signature is an independent prognostic factor in patients with pT1 tumors and can help to individualize adjuvant treatment recommendation in this increasing breast cancer population.

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Year:  2010        PMID: 20094918     DOI: 10.1245/s10434-009-0902-x

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  15 in total

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Review 4.  Impact of mammographic screening on the detection of good and poor prognosis breast cancers.

Authors:  Laura J Esserman; Yiwey Shieh; Emiel J T Rutgers; Michael Knauer; Valesca P Retèl; Stella Mook; Annuska M Glas; Dan H Moore; Sabine Linn; Flora E van Leeuwen; Laura J van 't Veer
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7.  A novel gene expression signature for bone metastasis in breast carcinomas.

Authors:  C Dilara Savci-Heijink; Hans Halfwerk; Jan Koster; Marc J van de Vijver
Journal:  Breast Cancer Res Treat       Date:  2016-03-10       Impact factor: 4.872

8.  Serum biomarkers identification by mass spectrometry in high-mortality tumors.

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9.  Identification and validation of a new set of five genes for prediction of risk in early breast cancer.

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Journal:  Int J Mol Sci       Date:  2013-05-06       Impact factor: 5.923

10.  Integrative genomics in combination with RNA interference identifies prognostic and functionally relevant gene targets for oral squamous cell carcinoma.

Authors:  Chang Xu; Pei Wang; Yan Liu; Yuzheng Zhang; Wenhong Fan; Melissa P Upton; Pawadee Lohavanichbutr; John R Houck; David R Doody; Neal D Futran; Lue Ping Zhao; Stephen M Schwartz; Chu Chen; Eduardo Méndez
Journal:  PLoS Genet       Date:  2013-01-17       Impact factor: 5.917

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