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.
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 humanepidermal 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 cancerpatients. 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.
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
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
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
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