Literature DB >> 15126326

A molecular signature of the Nottingham prognostic index in breast cancer.

Kun Yu1, Chee How Lee, Puay Hoon Tan, Ga Sze Hong, Siew Bok Wee, Chow Yin Wong, Patrick Tan.   

Abstract

The Nottingham prognostic index (NPI) is a widely used clinicopathological staging system for breast cancer prognostication. Using a step-wise classification approach where breast tumor expression profiles were first divided into general "molecular subtypes" [estrogen receptor (ER)+, ER-, ERBB2+], followed by an independent analysis of each subtype, we identified a 62-gene expression signature (NPI-ES) highly correlated to the NPI in ER+ tumors. The NPI-ES classified the majority of ER+ tumors into two distinct groups with high confidence and was significantly correlated to NPI status in two independent sets of ER+ tumors derived from different centers. The NPI-ES is comparable to the classical NPI in identifying patients likely to exhibit a poor clinical prognosis, as well as to a recently described "prognosis signature" for breast cancer. Our findings demonstrate how expression profiling can complement classical staging systems employing histopathological parameters scored over a continuous range of values.

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Year:  2004        PMID: 15126326     DOI: 10.1158/0008-5472.can-03-2430

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  13 in total

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Review 2.  The promise of molecular profiling for cancer identification and treatment.

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4.  Cellular processes of v-Src transformation revealed by gene profiling of primary cells--implications for human cancer.

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5.  Protein-protein interaction reveals synergistic discrimination of cancer phenotype.

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Journal:  Cancer Inform       Date:  2010-03-26

6.  Four miRNAs associated with aggressiveness of lymph node-negative, estrogen receptor-positive human breast cancer.

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Review 7.  Breast cancer prognostic classification in the molecular era: the role of histological grade.

Authors:  Emad A Rakha; Jorge S Reis-Filho; Frederick Baehner; David J Dabbs; Thomas Decker; Vincenzo Eusebi; Stephen B Fox; Shu Ichihara; Jocelyne Jacquemier; Sunil R Lakhani; José Palacios; Andrea L Richardson; Stuart J Schnitt; Fernando C Schmitt; Puay-Hoon Tan; Gary M Tse; Sunil Badve; Ian O Ellis
Journal:  Breast Cancer Res       Date:  2010-07-30       Impact factor: 6.466

Review 8.  Tumor Heterogeneity in Breast Cancer.

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Journal:  Front Med (Lausanne)       Date:  2017-12-08

9.  Pathway analysis of gene signatures predicting metastasis of node-negative primary breast cancer.

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10.  Minichromosome maintenance proteins 2 and 5 in non-benign epithelial ovarian tumours: relationship with cell cycle regulators and prognostic implications.

Authors:  H Gakiopoulou; P Korkolopoulou; G Levidou; I Thymara; A Saetta; C Piperi; N Givalos; I Vassilopoulos; K Ventouri; A Tsenga; A Bamias; M-A Dimopoulos; E Agapitos; E Patsouris
Journal:  Br J Cancer       Date:  2007-10-16       Impact factor: 7.640

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