Literature DB >> 23117074

Comparison of the prognostic value of genomic grade index, Ki67 expression and mitotic activity index in early node-positive breast cancer patients.

F Bertucci1, P Finetti, H Roche, J M Le Doussal, L Marisa, A L Martin, M Lacroix-Triki, C Blanc-Fournier, J Jacquemier, H Peyro-Saint-Paul, P Viens, C Sotiriou, D Birnbaum, F Penault-Llorca.   

Abstract

Background The genomic grade index (GGI) completes the prognostic value of histological grade (HG). Other proliferation markers include the mitotic activity index (MAI) and the Ki67 immunohistochemistry (IHC) status. We compared the prognostic value of GGI, HG, MAI, Ki67 IHC and messenger RNA (mRNA) status in node-positive breast cancer (BC) patients treated with adjuvant anthracycline-based chemotherapy in the prospective PACS01 trial. Patients and methods The five proliferation-related parameters (GGI, Ki67 mRNA expression and centrally determined HG, MAI, and Ki67 IHC status) of tumours were available for 204 cases and analysed as continuous values. We compared the correlations of each one with the other proliferation-related parameters and with histoclinical variables including the disease-free survival (DFS). Results Expected correlations were observed between the five parameters and for each parameter with biological features (hormone-receptor and HER2 status, molecular subtypes), but the GGI displayed the strongest correlations. The GGI outperformed the prognostic performance of the four other proliferation-related parameters for the DFS in all 204 patients and in the 95 HG2 patients. In multivariate analysis including the classical prognostic factors, only GGI remained significant. Finally, the GGI outperformed the prognostic performance of MKI67 mRNA expression in a series of 1599 samples and 656 HG2 cases. Conclusions In this small pilot biomarker study ancillary to the PACS01 trial, the GGI outperforms the prognostic performance of centrally determined HG, MAI, Ki67 IHC status and mRNA expression. Further validation is warranted in larger series.

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Year:  2012        PMID: 23117074     DOI: 10.1093/annonc/mds510

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  14 in total

1.  Clinical utility of multigene profiling assays in early-stage breast cancer.

Authors:  M C Chang; L H Souter; S Kamel-Reid; M Rutherford; P Bedard; M Trudeau; J Hart; A Eisen
Journal:  Curr Oncol       Date:  2017-10-25       Impact factor: 3.677

2.  Multi-level gene expression signatures, but not binary, outperform Ki67 for the long term prognostication of breast cancer patients.

Authors:  Nicholas P Tobin; Linda S Lindström; Joseph W Carlson; Judith Bjöhle; Jonas Bergh; Kristian Wennmalm
Journal:  Mol Oncol       Date:  2014-02-28       Impact factor: 6.603

Review 3.  Indications for prognostic gene expression profiling in early breast cancer.

Authors:  Erin F Cobain; Daniel F Hayes
Journal:  Curr Treat Options Oncol       Date:  2015-05

4.  The role of Ki-67 in Asian triple negative breast cancers: a novel combinatory panel approach.

Authors:  An Sen Tan; Joe Poe Sheng Yeong; Chi Peng Timothy Lai; Chong Hui Clara Ong; Bernett Lee; Jeffrey Chun Tatt Lim; Aye Aye Thike; Jabed Iqbal; Rebecca Alexandra Dent; Elaine Hsuen Lim; Puay Hoon Tan
Journal:  Virchows Arch       Date:  2019-08-12       Impact factor: 4.064

Review 5.  Genomic profiling in luminal breast cancer.

Authors:  Oleg Gluz; Daniel Hofmann; Rachel Würstlein; Cornelia Liedtke; Ulrike Nitz; Nadia Harbeck
Journal:  Breast Care (Basel)       Date:  2013-12       Impact factor: 2.860

6.  Lectin histochemistry reveals SNA as a prognostic carbohydrate-dependent probe for invasive ductal carcinoma of the breast: a clinicopathological and immunohistochemical auxiliary tool.

Authors:  Petra B dos-Santos; Juliana S Zanetti; Gabriela S Vieira-de-Mello; Moacyr B M Rêgo; Alfredo Ribeiro-Silva A; Eduardo Isidoro Carneiro Beltrão
Journal:  Int J Clin Exp Pathol       Date:  2014-04-15

7.  Tumor metabolism assessed by FDG-PET/CT and tumor proliferation assessed by genomic grade index to predict response to neoadjuvant chemotherapy in triple negative breast cancer.

Authors:  David Groheux; L Biard; J Lehmann-Che; L Teixeira; F A Bouhidel; B Poirot; P Bertheau; P Merlet; M Espié; M Resche-Rigon; C Sotiriou; P de Cremoux
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-04       Impact factor: 9.236

8.  Gene Expression Signatures and Immunohistochemical Subtypes Add Prognostic Value to Each Other in Breast Cancer Cohorts.

Authors:  Arian Lundberg; Linda S Lindström; J Chuck Harrell; Claudette Falato; Joseph W Carlson; Paul K Wright; Theodoros Foukakis; Charles M Perou; Kamila Czene; Jonas Bergh; Nicholas P Tobin
Journal:  Clin Cancer Res       Date:  2017-09-29       Impact factor: 12.531

9.  An integrated genomic analysis of Tudor domain-containing proteins identifies PHD finger protein 20-like 1 (PHF20L1) as a candidate oncogene in breast cancer.

Authors:  Yuanyuan Jiang; Lanxin Liu; Wenqi Shan; Zeng-Quan Yang
Journal:  Mol Oncol       Date:  2015-10-28       Impact factor: 6.603

10.  Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease.

Authors:  Jyothi S Prabhu; Aruna Korlimarla; C E Anupama; Annie Alexander; Rohini Raghavan; Roma Kaul; Krisha Desai; Savitha Rajarajan; Suraj Manjunath; Marjorrie Correa; R Raman; Anjali Kalamdani; Msn Prasad; Shekar Patil; K S Gopinath; B S Srinath; T S Sridhar
Journal:  Transl Oncol       Date:  2017-07-11       Impact factor: 4.243

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