Skip to main content
Erschienen in: Clinical and Translational Oncology 6/2020

21.08.2019 | Correspondence

Standardized versus research-based PAM50 intrinsic subtyping of breast cancer

verfasst von: A. Prat, J. S. Parker

Erschienen in: Clinical and Translational Oncology | Ausgabe 6/2020

Einloggen, um Zugang zu erhalten

Excerpt

To date, there is only one standardized assay for identification of the so-called intrinsic molecular subtypes of breast cancer (i.e., Luminal A, Luminal B, HER2-enriched, and Basal-like) described by Perou et al. [1]. This assay uses the nCounter technology, has been CE Marked, and is commercially available worldwide [2]. Over the years, however, several research-based methods for subtype identification have been reported [35]. However, none of them is standardized and, in most cases, proper controls or data to suggest that the method is accurate and precise compared to the standardized and clinically validated nCounter-based PAM50 assay are missing [6, 7]. This is worrisome, since important conclusions regarding the prognostic or predictive value of the PAM50 subtypes are being drawn from “homebrew” research-based PAM50 versions often run on different technologies. …
Literatur
1.
Zurück zum Zitat Perou CM, Sorlie T, Eisen MB, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747–52.CrossRef Perou CM, Sorlie T, Eisen MB, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747–52.CrossRef
2.
Zurück zum Zitat Bastien RRL, Rodríguez-Lescure Á, Ebbert MTW, et al. PAM50 breast cancer subtyping by RT-qPCR and concordance with standard clinical molecular markers. BMC Med Genomics. 2012;5:44.CrossRef Bastien RRL, Rodríguez-Lescure Á, Ebbert MTW, et al. PAM50 breast cancer subtyping by RT-qPCR and concordance with standard clinical molecular markers. BMC Med Genomics. 2012;5:44.CrossRef
3.
Zurück zum Zitat Parker JS, Mullins M, Cheang MCU, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol. 2009;27:1160–7.CrossRef Parker JS, Mullins M, Cheang MCU, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol. 2009;27:1160–7.CrossRef
4.
Zurück zum Zitat Sørlie T, Perou CM, Tibshirani R, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci. 2001;98:10869–74.CrossRef Sørlie T, Perou CM, Tibshirani R, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci. 2001;98:10869–74.CrossRef
5.
Zurück zum Zitat Hu Z, Fan C, Oh DS, et al. The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genomics. 2006;7:96.CrossRef Hu Z, Fan C, Oh DS, et al. The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genomics. 2006;7:96.CrossRef
6.
Zurück zum Zitat Perou CM, Parker JS, Prat A, et al. Clinical implementation of the intrinsic subtypes of breast cancer. Lancet Oncol. 2010;11:718–9.CrossRef Perou CM, Parker JS, Prat A, et al. Clinical implementation of the intrinsic subtypes of breast cancer. Lancet Oncol. 2010;11:718–9.CrossRef
7.
Zurück zum Zitat Pogue-Geile KL, Song N, Jeong J-H, et al. Intrinsic subtypes, PIK3CA mutation, and the degree of benefit from adjuvant trastuzumab in the NSABP B-31 trial. J Clin Oncol. 2015;33:1340–7.CrossRef Pogue-Geile KL, Song N, Jeong J-H, et al. Intrinsic subtypes, PIK3CA mutation, and the degree of benefit from adjuvant trastuzumab in the NSABP B-31 trial. J Clin Oncol. 2015;33:1340–7.CrossRef
8.
Zurück zum Zitat Paquet ER, Hallett MT. Absolute assignment of breast cancer intrinsic molecular subtype. J Nat Cancer Inst. 2014;107:2014. Paquet ER, Hallett MT. Absolute assignment of breast cancer intrinsic molecular subtype. J Nat Cancer Inst. 2014;107:2014.
9.
Zurück zum Zitat Gendoo DMA, Ratanasirigulchai N, Schröder MS, et al. Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer. Bioinformatics. 2015;32:1097–9.CrossRef Gendoo DMA, Ratanasirigulchai N, Schröder MS, et al. Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer. Bioinformatics. 2015;32:1097–9.CrossRef
10.
Zurück zum Zitat Turner NC, Liu Y, Zhu Z, et al. Cyclin E1 expression and palbociclib efficacy in previously treated hormone receptor–positive metastatic breast cancer. J Clin Oncol. 2019;37:1169.CrossRef Turner NC, Liu Y, Zhu Z, et al. Cyclin E1 expression and palbociclib efficacy in previously treated hormone receptor–positive metastatic breast cancer. J Clin Oncol. 2019;37:1169.CrossRef
11.
Zurück zum Zitat Turner NC, Slamon DJ, Ro J, et al. Overall survival with palbociclib and fulvestrant in advanced breast cancer. N Engl J Med. 2018;379:1926–36.CrossRef Turner NC, Slamon DJ, Ro J, et al. Overall survival with palbociclib and fulvestrant in advanced breast cancer. N Engl J Med. 2018;379:1926–36.CrossRef
12.
Zurück zum Zitat Prat A, Cheang MCU, Galván P, et al. Prognostic value of intrinsic subtypes in hormone receptor-positive metastatic breast cancer treated with letrozole with or without lapatiniblapatinib therapy and subtype in hormone receptor-positive metastatic breast cancerlapatinib therapy and subtype in hormone receptor-positive metastatic breast cancer. JAMA Oncol. 2016;2:1287–94.CrossRef Prat A, Cheang MCU, Galván P, et al. Prognostic value of intrinsic subtypes in hormone receptor-positive metastatic breast cancer treated with letrozole with or without lapatiniblapatinib therapy and subtype in hormone receptor-positive metastatic breast cancerlapatinib therapy and subtype in hormone receptor-positive metastatic breast cancer. JAMA Oncol. 2016;2:1287–94.CrossRef
14.
Zurück zum Zitat Cejalvo JM, Martínez de Dueñas E, Galvan P, et al. Intrinsic subtypes and gene expression profiles in primary and metastatic breast cancer. Cancer Res. 2017;77:2213–21.CrossRef Cejalvo JM, Martínez de Dueñas E, Galvan P, et al. Intrinsic subtypes and gene expression profiles in primary and metastatic breast cancer. Cancer Res. 2017;77:2213–21.CrossRef
15.
Zurück zum Zitat Curtis C, Shah SP, Chin S-F, et al. The genomic and transcriptomic architecture of 2000 breast tumours reveals novel subgroups. Nature. 2012;486:346.CrossRef Curtis C, Shah SP, Chin S-F, et al. The genomic and transcriptomic architecture of 2000 breast tumours reveals novel subgroups. Nature. 2012;486:346.CrossRef
16.
Zurück zum Zitat Prat A, Fan C, Fernández A, et al. Response and survival of breast cancer intrinsic subtypes following multi-agent neoadjuvant chemotherapy. BMC Med. 2015;13:303–303.CrossRef Prat A, Fan C, Fernández A, et al. Response and survival of breast cancer intrinsic subtypes following multi-agent neoadjuvant chemotherapy. BMC Med. 2015;13:303–303.CrossRef
17.
Zurück zum Zitat Hatzis C, Pusztai L, Valero V, et al. A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer. JAMA. 2011;305:1873–81.CrossRef Hatzis C, Pusztai L, Valero V, et al. A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer. JAMA. 2011;305:1873–81.CrossRef
Metadaten
Titel
Standardized versus research-based PAM50 intrinsic subtyping of breast cancer
verfasst von
A. Prat
J. S. Parker
Publikationsdatum
21.08.2019
Verlag
Springer International Publishing
Erschienen in
Clinical and Translational Oncology / Ausgabe 6/2020
Print ISSN: 1699-048X
Elektronische ISSN: 1699-3055
DOI
https://doi.org/10.1007/s12094-019-02203-x

Weitere Artikel der Ausgabe 6/2020

Clinical and Translational Oncology 6/2020 Zur Ausgabe

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.