PMID- 22965266 OWN - NLM STAT- MEDLINE DCOM- 20130214 LR - 20151119 IS - 1534-4681 (Electronic) IS - 1068-9265 (Linking) VI - 19 IP - 10 DP - 2012 Oct TI - Comparison of molecular subtyping with BluePrint, MammaPrint, and TargetPrint to local clinical subtyping in breast cancer patients. PG - 3257-63 LID - 10.1245/s10434-012-2561-6 [doi] AB - 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. FAU - Nguyen, Bichlien AU - Nguyen B AD - Department of Medicine, Todd Cancer Institute, Long Beach Memorial Medical Center, Long Beach, CA, USA. bnguyen1@memorialcare.org FAU - Cusumano, Pino G AU - Cusumano PG FAU - Deck, Kenneth AU - Deck K FAU - Kerlin, Deborah AU - Kerlin D FAU - Garcia, Agustin A AU - Garcia AA FAU - Barone, Julie L AU - Barone JL FAU - Rivera, Edgardo AU - Rivera E FAU - Yao, Katharine AU - Yao K FAU - de Snoo, Femke A AU - de Snoo FA FAU - van den Akker, Jeroen AU - van den Akker J FAU - Stork-Sloots, Lisette AU - Stork-Sloots L FAU - Generali, Daniele AU - Generali D LA - eng PT - Comparative Study PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20120815 PL - United States TA - Ann Surg Oncol JT - Annals of surgical oncology JID - 9420840 RN - 0 (Biomarkers, Tumor) RN - 0 (Ki-67 Antigen) RN - 0 (RNA, Messenger) RN - 0 (Receptors, Estrogen) RN - 0 (Receptors, Progesterone) RN - EC 2.7.10.1 (Receptor, ErbB-2) SB - IM MH - Adult MH - Aged MH - Aged, 80 and over MH - Biomarkers, Tumor/*genetics/*metabolism MH - Breast Neoplasms/*classification/genetics/metabolism/pathology MH - Female MH - *Gene Expression Profiling MH - Humans MH - Immunoenzyme Techniques MH - In Situ Hybridization, Fluorescence MH - Ki-67 Antigen/metabolism MH - Microarray Analysis MH - Middle Aged MH - Neoplasm Grading MH - Prognosis MH - RNA, Messenger/*genetics MH - Receptor, ErbB-2/metabolism MH - Receptors, Estrogen/metabolism MH - Receptors, Progesterone/metabolism MH - Survival Rate EDAT- 2012/09/12 06:00 MHDA- 2013/02/15 06:00 CRDT- 2012/09/12 06:00 PHST- 2012/04/17 00:00 [received] PHST- 2012/09/12 06:00 [entrez] PHST- 2012/09/12 06:00 [pubmed] PHST- 2013/02/15 06:00 [medline] AID - 10.1245/s10434-012-2561-6 [doi] PST - ppublish SO - Ann Surg Oncol. 2012 Oct;19(10):3257-63. doi: 10.1245/s10434-012-2561-6. Epub 2012 Aug 15.