Literature DB >> 22965266

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

Bichlien Nguyen1, 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.   

Abstract

PURPOSE: To compare breast cancer subtyping with the three centrally assessed microarray-based assays BluePrint, MammaPrint, and TargetPrint with locally assessed clinical subtyping using immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH).
METHODS: BluePrint, MammaPrint, and TargetPrint were all performed on fresh tumor samples. Microarray analysis was performed at Agendia Laboratories, blinded for clinical and pathological data. IHC/FISH assessments were performed according to local practice at each institution; estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) assessments were performed on 132 samples, and Ki-67 on 79 samples.
RESULTS: The concordance between BluePrint and IHC/FISH subtyping was 94 % for the Luminal-type, 95 % for the HER2-type, and 94 % for the Basal-type subgroups. The concordance of BluePrint with subtyping using mRNA single gene readout (TargetPrint) was 96 % for the Luminal-type, 97 % for the HER2-type, and 98 % for the Basal-type subgroups. The concordance for substratification into Luminal A and B using MammaPrint and Ki-67 was 68 %. The concordance between TargetPrint and IHC/FISH was 97 % for ER, 80 % for PR, and 95 % for HER2.
CONCLUSIONS: The implementation of multigene assays such as TargetPrint, BluePrint, and MammaPrint may improve the clinical management of breast cancer patients. High discordance between Luminal A and B substratification based on MammaPrint versus locally assessed Ki-67 or grade indicates that chemotherapy decisions should not be based on the basis of Ki-67 readout or tumor grade alone. TargetPrint serves as a second opinion for those local pathology settings where high-quality standardization is harder to maintain.

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Year:  2012        PMID: 22965266     DOI: 10.1245/s10434-012-2561-6

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


  19 in total

1.  Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge.

Authors:  Adi L Tarca; Mario Lauria; Michael Unger; Erhan Bilal; Stephanie Boue; Kushal Kumar Dey; Julia Hoeng; Heinz Koeppl; Florian Martin; Pablo Meyer; Preetam Nandy; Raquel Norel; Manuel Peitsch; Jeremy J Rice; Roberto Romero; Gustavo Stolovitzky; Marja Talikka; Yang Xiang; Christoph Zechner
Journal:  Bioinformatics       Date:  2013-08-20       Impact factor: 6.937

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

Authors:  Soley Bayraktar; Melanie Royce; Lisette Stork-Sloots; Femke de Snoo; Stefan Glück
Journal:  Med Oncol       Date:  2014-09-04       Impact factor: 3.064

3.  External validation of a multiplex urinary protein panel for the detection of bladder cancer in a multicenter cohort.

Authors:  Li-Mei Chen; Myron Chang; Yunfeng Dai; Karl X Chai; Lars Dyrskjøt; Marta Sanchez-Carbayo; Tibor Szarvas; Ellen C Zwarthoff; Vinata Lokeshwar; Carmen Jeronimo; Alexander S Parker; Shanti Ross; Michael Borre; Torben F Orntoft; Tobias Jaeger; Willemien Beukers; Luis E Lopez; Rui Henrique; Paul R Young; Virginia Urquidi; Steve Goodison; Charles J Rosser
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-06-11       Impact factor: 4.254

4.  Genomic profiling shows increased glucose metabolism in luminal B breast cancer.

Authors:  Shigeto Ueda; Toshiaki Saeki; Hideki Takeuchi; Takashi Shigekawa; Kazuo Matsuura; Noriko Nakamiya; Hiroshi Sano; Hiroko Shimada; Eiko Hirokawa; Akihiko Osaki
Journal:  J Breast Cancer       Date:  2013-09-30       Impact factor: 3.588

5.  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

6.  Multiplex protein signature for the detection of bladder cancer in voided urine samples.

Authors:  Charles J Rosser; Shanti Ross; Myron Chang; Yunfeng Dai; Lourdes Mengual; Ge Zhang; Jeongsoon Kim; Virginia Urquidi; Antonio Alcaraz; Steve Goodison
Journal:  J Urol       Date:  2013-06-11       Impact factor: 7.450

7.  An international study comparing conventional versus mRNA level testing (TargetPrint) for ER, PR, and HER2 status of breast cancer.

Authors:  Jelle Wesseling; Corrado Tinterri; Anna Sapino; Fabrizio Zanconati; Martijn Lutke-Holzik; Bichlien Nguyen; Kenneth B Deck; Patrizia Querzoli; Tiziana Perin; Carmela Giardina; Gerhard Seitz; Jean-Marc Guinebretière; Julie Barone; Laura Dekker; Femke de Snoo; Lisette Stork-Sloots; Paul Roepman; Toru Watanabe; Pino Cusumano
Journal:  Virchows Arch       Date:  2016-07-04       Impact factor: 4.064

8.  A Nomogram Derived by Combination of Demographic and Biomarker Data Improves the Noninvasive Evaluation of Patients at Risk for Bladder Cancer.

Authors:  Sijia Huang; Lei Kou; Hideki Furuya; Changhong Yu; Steve Goodison; Michael W Kattan; Lana Garmire; Charles J Rosser
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-07-06       Impact factor: 4.254

Review 9.  Prognostic and predictive biomarkers: tools in personalized oncology.

Authors:  Ewelina Nalejska; Ewa Mączyńska; Marzena Anna Lewandowska
Journal:  Mol Diagn Ther       Date:  2014-06       Impact factor: 4.074

10.  Simultaneous multi-analyte urinary protein assay for bladder cancer detection.

Authors:  Charles J Rosser; Yunfeng Dai; Makito Miyake; Ge Zhang; Steve Goodison
Journal:  BMC Biotechnol       Date:  2014-04-01       Impact factor: 2.563

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