Literature DB >> 25186065

Molecular subtyping predicts pathologic tumor response in early-stage breast cancer treated with neoadjuvant docetaxel plus capecitabine with or without trastuzumab chemotherapy.

Soley Bayraktar1, Melanie Royce, Lisette Stork-Sloots, Femke de Snoo, Stefan Glück.   

Abstract

The purpose of this study was to assess the correlation of the pathologic complete response (pCR) and near-complete pathologic response (npCR) between gene expression profiling using either the dataset of 150 genes as determined by BluePrint/MammaPrint versus PAM50 molecular subtyping. The samples were from patients with operable early-stage breast cancer prior to neoadjuvant chemotherapy of capecitabine plus docetaxel, with or without trastuzumab. Molecular subtyping data were analyzed on samples from 122 patients enrolled in XeNA neoadjuvant trial. The biopsies were obtained as part of the original study where PAM50 assay was performed using custom-designed full genome 44,000 feature Agilent microarrays, and TP53 mutational analysis was performed on pretreatment tumor tissue using the AmpliChip TP53 assay. For the current study, clinical and pathological endpoints, TP53 mutation analysis and PAM50 results were collected through GEO at NCBI (GSE22358). MammaPrint and BluePrint outcomes were determined from the available gene expression data. The overall pCR plus npCR rate was 25% (30/122). Stratified by BluePrint/MammaPrint, patients of HER2 type had the best response (59%), while luminal A (7%) and B (9%) subtypes had the poorest. The pCR plus npCR rate in patients classified with PAM50 assay was 76% in HER2 type, 10% in luminal A type, and 5% in luminal B type. The pCR plus npCR rate [22/61 (36%)] among TP53-mutated patients was significantly higher than TP53 wild-type patients [7/54 (13%); P=0.012]. Concordance of BluePrint/MammaPrint with PAM50 molecular subtyping was only 59%. Regardless of the molecular subtype, for patient samples with concordant BluePrint/MammaPrint and PAM50 data, the pCR plus npCR rate in TP53 mutant samples was 17/39 (44%), whereas in patients whose tumors were TP53 wild type, it was 5/31 (16%). Molecular and intrinsic subtyping may provide predictive information for patients treated with docetaxel plus capecitabine±trastuzumab preoperatively, and these results need to be further evaluated. The differences between the two methodologies need clarification in a prospective manner and being compared to the standard IHC-FISH testing.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25186065     DOI: 10.1007/s12032-014-0163-9

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  27 in total

Review 1.  Revision of breast cancer staging: the 6th edition of the TNM Classification.

Authors:  S Eva Singletary; Frederick L Greene
Journal:  Semin Surg Oncol       Date:  2003

2.  The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1-3 positive lymph nodes in an independent validation study.

Authors:  Stella Mook; Marjanka K Schmidt; Giuseppe Viale; Giancarlo Pruneri; Inge Eekhout; Arno Floore; Annuska M Glas; Jan Bogaerts; Fatima Cardoso; Martine J Piccart-Gebhart; Emiel T Rutgers; Laura J Van't Veer
Journal:  Breast Cancer Res Treat       Date:  2008-07-27       Impact factor: 4.872

3.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

4.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

5.  Comparison of molecular subtyping with BluePrint, MammaPrint, and TargetPrint to local clinical subtyping in breast cancer patients.

Authors:  Bichlien Nguyen; Pino G Cusumano; Kenneth Deck; Deborah Kerlin; Agustin A Garcia; Julie L Barone; Edgardo Rivera; Katharine Yao; Femke A de Snoo; Jeroen van den Akker; Lisette Stork-Sloots; Daniele Generali
Journal:  Ann Surg Oncol       Date:  2012-08-15       Impact factor: 5.344

6.  Supervised risk predictor of breast cancer based on intrinsic subtypes.

Authors:  Joel S Parker; Michael Mullins; Maggie C U Cheang; Samuel Leung; David Voduc; Tammi Vickery; Sherri Davies; Christiane Fauron; Xiaping He; Zhiyuan Hu; John F Quackenbush; Inge J Stijleman; Juan Palazzo; J S Marron; Andrew B Nobel; Elaine Mardis; Torsten O Nielsen; Matthew J Ellis; Charles M Perou; Philip S Bernard
Journal:  J Clin Oncol       Date:  2009-02-09       Impact factor: 44.544

7.  p-53 gene mutations as a predictive marker in a population of advanced breast cancer patients randomly treated with doxorubicin or docetaxel in the context of a phase III clinical trial.

Authors:  A Di Leo; M Tanner; C Desmedt; M Paesmans; F Cardoso; V Durbecq; S Chan; T Perren; M Aapro; C Sotiriou; M J Piccart; D Larsimont; J Isola
Journal:  Ann Oncol       Date:  2007-03-17       Impact factor: 32.976

8.  Molecular subtyping of early-stage breast cancer identifies a group of patients who do not benefit from neoadjuvant chemotherapy.

Authors:  Stefan Glück; Femke de Snoo; Justine Peeters; Lisette Stork-Sloots; George Somlo
Journal:  Breast Cancer Res Treat       Date:  2013-06-12       Impact factor: 4.872

9.  Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer.

Authors:  Marc Buyse; Sherene Loi; Laura van't Veer; Giuseppe Viale; Mauro Delorenzi; Annuska M Glas; Mahasti Saghatchian d'Assignies; Jonas Bergh; Rosette Lidereau; Paul Ellis; Adrian Harris; Jan Bogaerts; Patrick Therasse; Arno Floore; Mohamed Amakrane; Fanny Piette; Emiel Rutgers; Christos Sotiriou; Fatima Cardoso; Martine J Piccart
Journal:  J Natl Cancer Inst       Date:  2006-09-06       Impact factor: 13.506

10.  XeNA: capecitabine plus docetaxel, with or without trastuzumab, as preoperative therapy for early breast cancer.

Authors:  Stefan Glück; Edward F McKenna; Melanie Royce
Journal:  Int J Med Sci       Date:  2008-11-04       Impact factor: 3.738

View more
  10 in total

1.  Tailoring therapies--improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015.

Authors:  A S Coates; E P Winer; A Goldhirsch; R D Gelber; M Gnant; M Piccart-Gebhart; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2015-05-04       Impact factor: 32.976

2.  Magee Equations™ and response to neoadjuvant chemotherapy in ER+/HER2-negative breast cancer: a multi-institutional study.

Authors:  Rohit Bhargava; Nicole N Esposito; Siobhan M OʹConnor; Zaibo Li; Bradley M Turner; Ioana Moisini; Aditi Ranade; Ronald P Harris; Dylan V Miller; Xiaoxian Li; Harrison Moosavi; Beth Z Clark; Adam M Brufsky; David J Dabbs
Journal:  Mod Pathol       Date:  2020-07-13       Impact factor: 7.842

Review 3.  Exosomes-mediate microRNAs transfer in breast cancer chemoresistance regulation.

Authors:  Juliana Carvalho Santos; Marcelo Lima Ribeiro; Luis Otávio Sarian; Manoela Marques Ortega; Sophie Françoise Derchain
Journal:  Am J Cancer Res       Date:  2016-10-01       Impact factor: 6.166

Review 4.  Luminal A Breast Cancer and Molecular Assays: A Review.

Authors:  Jennifer J Gao; Sandra M Swain
Journal:  Oncologist       Date:  2018-02-22

5.  Molecular subtyping improves diagnostic stratification of patients with primary breast cancer into prognostically defined risk groups.

Authors:  Katharine Yao; Robert Goldschmidt; Mary Turk; Jelle Wesseling; Lisette Stork-Sloots; Femke de Snoo; Massimo Cristofanilli
Journal:  Breast Cancer Res Treat       Date:  2015-09-30       Impact factor: 4.872

6.  Genetic mutation profile of Chinese HER2-positive breast cancers and genetic predictors of responses to Neoadjuvant anti-HER2 therapy.

Authors:  Kai Li; Ning Liao; Bo Chen; Guochun Zhang; Yulei Wang; Liping Guo; Guangnan Wei; Minghan Jia; Lingzhu Wen; Chongyang Ren; Li Cao; Hsiaopei Mok; Cheukfai Li; Jiali Lin; Xiaoqing Chen; Zhou Zhang; Ting Hou; Min Li; Jing Liu; Charles M Balch; Ning Liao
Journal:  Breast Cancer Res Treat       Date:  2020-07-07       Impact factor: 4.872

7.  Neoadjuvant chemotherapy in combination with surgery in the treatment of local advanced breast cancer.

Authors:  Haixia Zhao; Jinying Zhang; Yanxia Lu; Jihai Jin
Journal:  Pak J Med Sci       Date:  2019 Sep-Oct       Impact factor: 1.088

8.  Comparing Biomarkers for Predicting Pathological Responses to Neoadjuvant Therapy in HER2-Positive Breast Cancer: A Systematic Review and Meta-Analysis.

Authors:  Fuxing Zhao; Xingfa Huo; Miaozhou Wang; Zhen Liu; Yi Zhao; Dengfeng Ren; Qiqi Xie; Zhilin Liu; Zitao Li; Feng Du; Guoshuang Shen; Jiuda Zhao
Journal:  Front Oncol       Date:  2021-10-28       Impact factor: 6.244

9.  TP53 mutations and protein immunopositivity may predict for poor outcome but also for trastuzumab benefit in patients with early breast cancer treated in the adjuvant setting.

Authors:  George Fountzilas; Eleni Giannoulatou; Zoi Alexopoulou; Flora Zagouri; Eleni Timotheadou; Kyriaki Papadopoulou; Sotiris Lakis; Mattheos Bobos; Christos Poulios; Maria Sotiropoulou; Aggeliki Lyberopoulou; Helen Gogas; George Pentheroudakis; Dimitrios Pectasides; Angelos Koutras; Christos Christodoulou; Christos Papandreou; Epaminontas Samantas; Pavlos Papakostas; Paris Kosmidis; Dimitrios Bafaloukos; Charisios Karanikiotis; Meletios-Athanassios Dimopoulos; Vassiliki Kotoula
Journal:  Oncotarget       Date:  2016-05-31

10.  The prognostic significance of topoisomerase II alpha protein in early stage luminal breast cancer.

Authors:  Xin An; Fei Xu; Rongzhen Luo; Qiufan Zheng; Jiabin Lu; Yanhua Yang; Tao Qin; Zhongyu Yuan; Yanxia Shi; Wenqi Jiang; Shusen Wang
Journal:  BMC Cancer       Date:  2018-03-27       Impact factor: 4.430

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.