Literature DB >> 19364972

Genomic grade index is associated with response to chemotherapy in patients with breast cancer.

Cornelia Liedtke1, Christos Hatzis, William Fraser Symmans, Christine Desmedt, Benjamin Haibe-Kains, Vicente Valero, Henry Kuerer, Gabriel N Hortobagyi, Martine Piccart-Gebhart, Christos Sotiriou, Lajos Pusztai.   

Abstract

PURPOSE The genomic grade index (GGI) is a 97-gene measure of histological tumor grade. High GGI is associated with decreased relapse-free survival in patients receiving either endocrine or no systemic adjuvant therapy. Herein we examined whether GGI predicts pathologic response to neoadjuvant chemotherapy in patients with HER-2-normal breast cancer. METHODS Gene expression data (gene chips) was generated from fine-needle aspiration biopsies (n = 229) prospectively collected before neoadjuvant paclitaxel, fluorouracil, doxorubicin, and cyclophosphamide chemotherapy. Pathologic response was quantified using the residual cancer burden (RCB) method. The association between the GGI and pathologic response was assessed in univariate and multivariate analyses. The performance of a response predictor combining clinical variables and GGI was evaluated under cross-validation. Results Eighty-five percent of grade 1 tumors had low GGI, 89% of grade 3 tumors had high GGI, and 63% of grade 2 tumors had low GGI. Among both estrogen receptor (ER)-positive and -negative cancers, high GGI score was associated with pathologic complete response (RCB-0) or minimal residual disease (RCB-1). A multivariate model combining GGI and clinical parameters had an overall accuracy of 71%, compared with 58% for the GGI alone, for prediction of pathologic response. However, high GGI score was also associated with significantly worse distant relapse-free survival in patients with ER-positive cancer (P = .005), and was not associated with survival in patients with ER-negative cancer. CONCLUSION High GGI is associated with increased sensitivity to neoadjuvant paclitaxel plus fluorouracil, adriamycin, and cyclophosphamide chemotherapy in both ER-negative and ER-positive patients, but it remains a predictor of worse survival in ER-positive patients.

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Year:  2009        PMID: 19364972      PMCID: PMC2716940          DOI: 10.1200/JCO.2008.18.5934

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  22 in total

1.  Neoadjuvant therapy with paclitaxel followed by 5-fluorouracil, epirubicin, and cyclophosphamide chemotherapy and concurrent trastuzumab in human epidermal growth factor receptor 2-positive operable breast cancer: an update of the initial randomized study population and data of additional patients treated with the same regimen.

Authors:  Aman U Buzdar; Vicente Valero; Nuhad K Ibrahim; Deborah Francis; Kristine R Broglio; Richard L Theriault; Lajos Pusztai; Marjorie C Green; Sonja E Singletary; Kelly K Hunt; Aysegul A Sahin; Francisco Esteva; William F Symmans; Michael S Ewer; Thomas A Buchholz; Gabriel N Hortobagyi
Journal:  Clin Cancer Res       Date:  2007-01-01       Impact factor: 12.531

2.  Nomograms to predict pathologic complete response and metastasis-free survival after preoperative chemotherapy for breast cancer.

Authors:  Roman Rouzier; Lajos Pusztai; Suzette Delaloge; Ana M Gonzalez-Angulo; Fabrice Andre; Kenneth R Hess; Aman U Buzdar; Jean-Remi Garbay; Marc Spielmann; Marie-Christine Mathieu; W Fraser Symmans; Peter Wagner; David Atallah; Vicente Valero; Donald A Berry; Gabriel N Hortobagyi
Journal:  J Clin Oncol       Date:  2005-11-20       Impact factor: 44.544

3.  Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer.

Authors:  Kenneth R Hess; Keith Anderson; W Fraser Symmans; Vicente Valero; Nuhad Ibrahim; Jaime A Mejia; Daniel Booser; Richard L Theriault; Aman U Buzdar; Peter J Dempsey; Roman Rouzier; Nour Sneige; Jeffrey S Ross; Tatiana Vidaurre; Henry L Gómez; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2006-08-08       Impact factor: 44.544

4.  Prognostic factors affecting the natural history of node-negative breast cancer.

Authors:  Maureen E Trudeau; Kathleen I Pritchard; Judy-Anne W Chapman; Wedad M Hanna; Harriette J Kahn; David Murray; Carol A Sawka; Betty G Mobbs; Irene Andrulis; David R McCready; H Lavina Lickley
Journal:  Breast Cancer Res Treat       Date:  2005-01       Impact factor: 4.872

5.  Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade.

Authors:  Sherene Loi; Benjamin Haibe-Kains; Christine Desmedt; Françoise Lallemand; Andrew M Tutt; Cheryl Gillet; Paul Ellis; Adrian Harris; Jonas Bergh; John A Foekens; Jan G M Klijn; Denis Larsimont; Marc Buyse; Gianluca Bontempi; Mauro Delorenzi; Martine J Piccart; Christos Sotiriou
Journal:  J Clin Oncol       Date:  2007-04-01       Impact factor: 44.544

Review 6.  Development of pharmacogenomic markers to select preoperative chemotherapy for breast cancer.

Authors:  Lajos Pusztai; Fraser W Symmans; Gabriel N Hortobagyi
Journal:  Breast Cancer       Date:  2005       Impact factor: 4.239

7.  Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy.

Authors:  W Fraser Symmans; Florentia Peintinger; Christos Hatzis; Radhika Rajan; Henry Kuerer; Vicente Valero; Lina Assad; Anna Poniecka; Bryan Hennessy; Marjorie Green; Aman U Buzdar; S Eva Singletary; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2007-09-04       Impact factor: 44.544

8.  Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis.

Authors:  Christos Sotiriou; Pratyaksha Wirapati; Sherene Loi; Adrian Harris; Steve Fox; Johanna Smeds; Hans Nordgren; Pierre Farmer; Viviane Praz; Benjamin Haibe-Kains; Christine Desmedt; Denis Larsimont; Fatima Cardoso; Hans Peterse; Dimitry Nuyten; Marc Buyse; Marc J Van de Vijver; Jonas Bergh; Martine Piccart; Mauro Delorenzi
Journal:  J Natl Cancer Inst       Date:  2006-02-15       Impact factor: 13.506

9.  Residual ductal carcinoma in situ in patients with complete eradication of invasive breast cancer after neoadjuvant chemotherapy does not adversely affect patient outcome.

Authors:  Chafika Mazouni; Florentia Peintinger; Shu Wan-Kau; Fabrice Andre; Ana M Gonzalez-Angulo; W Fraser Symmans; Funda Meric-Bernstam; Vicente Valero; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2007-07-01       Impact factor: 44.544

Review 10.  Adjuvant trastuzumab in the treatment of her-2-positive early breast cancer: a meta-analysis of published randomized trials.

Authors:  Gustavo A Viani; Sergio L Afonso; Eduardo J Stefano; Ligia I De Fendi; Francisco V Soares
Journal:  BMC Cancer       Date:  2007-08-08       Impact factor: 4.430

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  67 in total

Review 1.  Practical implications of gene-expression-based assays for breast oncologists.

Authors:  Aleix Prat; Matthew J Ellis; Charles M Perou
Journal:  Nat Rev Clin Oncol       Date:  2011-12-06       Impact factor: 66.675

Review 2.  Gene-expression-based prognostic assays for breast cancer.

Authors:  Chungyeul Kim; Soonmyung Paik
Journal:  Nat Rev Clin Oncol       Date:  2010-05-04       Impact factor: 66.675

Review 3.  Molecular basis for therapy resistance.

Authors:  Per E Lønning
Journal:  Mol Oncol       Date:  2010-04-24       Impact factor: 6.603

Review 4.  The molecular pathology of breast cancer progression.

Authors:  Alessandro Bombonati; Dennis C Sgroi
Journal:  J Pathol       Date:  2010-11-16       Impact factor: 7.996

5.  Differential efficacy of three cycles of CMF followed by tamoxifen in patients with ER-positive and ER-negative tumors: long-term follow up on IBCSG Trial IX.

Authors:  S Aebi; Z Sun; D Braun; K N Price; M Castiglione-Gertsch; M Rabaglio; R D Gelber; D Crivellari; J Lindtner; R Snyder; P Karlsson; E Simoncini; B A Gusterson; G Viale; M M Regan; A S Coates; A Goldhirsch
Journal:  Ann Oncol       Date:  2011-01-31       Impact factor: 32.976

Review 6.  Translating next generation sequencing to practice: opportunities and necessary steps.

Authors:  Sitharthan Kamalakaran; Vinay Varadan; Angel Janevski; Nilanjana Banerjee; David Tuck; W Richard McCombie; Nevenka Dimitrova; Lyndsay N Harris
Journal:  Mol Oncol       Date:  2013-05-15       Impact factor: 6.603

7.  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

8.  Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

Authors:  P Sinn; S Aulmann; R Wirtz; S Schott; F Marmé; Z Varga; A Lebeau; H Kreipe; A Schneeweiss
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

Review 9.  Clinical utility of gene-expression signatures in early stage breast cancer.

Authors:  Maryann Kwa; Andreas Makris; Francisco J Esteva
Journal:  Nat Rev Clin Oncol       Date:  2017-05-31       Impact factor: 66.675

Review 10.  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

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