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Molecular breast cancer subtyping: study confirms advantages of the in vitro diagnostic test kit MammaTyper® over immunohistochemistry (IHC)

Mainz, Germany, June 16, 2016: BioNTech Diagnostics GmbH, a subsidiary of BioNTech AG, announces the publication of new study data that prove the significant advantages of the in vitro diagnostic test kit MammaTyper® (CE / IVD marked) over the currently established methods of detection used in breast cancer subtyping [1]. In the prospective-retrospective study, MammaTyper® achieved ground-breaking results with precise quantitative detection of the biomarkers ERBB2 (HER2), ESR1 (ER), PGR (PR) and MKI67 (proliferation marker Ki-67). It must be emphasized particularly that MammaTyper® was superior to immunohistochemistry with regard to the prognosis when measuring MKI67 (Ki-67). Thus the study shows that MammaTyper® ensures patient stratification as recommended by the St Gallen criteria, including reliable measurement of proliferation by MKI67. “The positive study data for MammaTyper® underline our commitment to making personalized medicine broadly available for treating cancer”, added Dr Sierk Poetting, Managing Director at BioNTech Diagnostics.

Over the past few years, the IHC method has been discussed time and again by expert groups with regard to its reproducibility, objectivity and comparability. Differences do arise, particularly when measuring the proliferation marker Ki-67 which is used, for example, to differentiate between ‏luminal A and ‏luminal B tumours, among other things [2-5].

Previous studies have already shown that molecular detection of mRNA expression of the markers by RT-qPCR (reverse transcription quantitative real time polymerase chain reaction), on which the in vitro diagnostic test kit MammaTyper® is also based, have significant advantages over IHC [6-8].

The recently published prospective-retrospective randomized MammaTyper® clinical study [1] enrolled a total of 769 patients from the FinHer study [9]. It was the first to compare quantitative measurements of tumour ESR1-, PGR-, ERBB2– and MKI67-mRNA using MammaTyper® with the results of ER-, PR-, and Ki-67 protein expression by IHC or of HER2 by chromogenic in situ hybridization (CISH). The results were correlated with disease-free survival and the overall survival period. The data show that quantitative measurement of ESR1– and PGR– and ERBB2-mRNA by MammaTyper® correlates with the results from IHC and in situ hybridization in pathology laboratories [ER/ESR1: 92 %, p < 0.0001; PR/PGR: 83 %, p < 0.0001 and HER2/ERBB2: 92 %, p < 0.0001, OPA⃰].

Measurements of MKI67 mRNA expression with MammaTyper® showed that patients who express a low level of MKI67 have a significantly better prognosis with regard to disease-free survival and overall survival than patients with a high MKI67 expression. In contrast, measurement of Ki-67 protein expression by IHC showed no significant difference between these two groups for the prognosis of the two parameters.

The study also showed that the patients identified as luminal B by MammaTyper® who were treated with docetaxel FEC had a more favourable prognosis for disease-free survival and overall survival than those who were treated with vinorelbin FEC. The IHC results were not able to show this relation between subtype and response to the medication. This means that, compared to IHC, breast cancer subtyping by MammaTyper® opens up new opportunities of providing predictive information about the benefits of adjuvant taxane treatment.

In summary, the study clearly shows that, in comparison to established methods, MammaTyper® allows a precise biomarker measurement method that can be standardized and, due to the reliable detection of Ki-67, provides better indications of the need for and benefits of chemotherapy.

⃰OPA: Overall percent agreement

For further information please contact:

BioNTech Diagnostics GmbH or COMMPartners GmbH Co. KG
Dr. Gerd Hempel Sonja Hinz
Tel.: +49-6131-9084-0 Tel. +49-8024-47013-10
Email: media@biontech.de Email: info@commpartners.de

 

References

1 Wirtz Ralph M et al. (2016) Biological subtyping of early breast cancer: a study comparing RT-qPCR with immunohistochemistry. Breast Cancer Res Treat. DOI 10.007/s10549-016-3835-7 (Published online 24 May 2016)

2 Hammond MEH, Hayes DF, Dowsett M, Allred DC, Hagerty KL, Badve S, et al., American Society of Clinical Oncology, College of American Pathologists. American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer (unabridged version). Arch Pathol Lab Med. 2010 Jul;134(7):e48–72.

3 Wolff AC, Hammond MEH, Schwartz JN, Hagerty KL, Allred DC, Cote RJ, et al., American Society of Clinical Oncology, College of American Pathologists. American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer. J Clin Oncol. 2007 Jan 1;25(1):118–45.

4 De Dueñas EM, Hernández AL, Zotano AG, Carrión RMP, López-Muñiz JIC, Novoa SA, et al. Prospective evaluation of the conversion rate in the receptor status between primary breast cancer and metastasis: results from the GEICAM 2009-03 ConvertHER study. Breast Cancer Res Treat. 2014 Feb;143(3):507–15.

5 Orlando L, Viale G, Schiavone P, Fedele P, Nacci A, Rizzo P, et al. Discordance in pathology report after central pathology review in early breast cancer and its impact on treatment choice. ASCO Meeting Abstracts. 2011 May 20;29(15_suppl):585.

6  Lehmann-Che J, Amira-Bouhidel F, Turpin E, Antoine M, Soliman H, Legres L, et al. Immunohistochemical and molecular analyses of HER2 status in breast cancers are highly concordant and complementary approaches. Br J Cancer. 2011 May 24;104(11): 1739–46.

7  Susini T, Bussani C, Marini G, Nori J, Olivieri S, Molino C, et al. Preoperative assessment of HER-2/neu status in breast carcinoma: The role of quantitative real-time PCR on core-biopsy specimens. Gynecologic Oncology. 2010 Feb 1;116(2):234–9.

8 Wilson TR, Xiao Y, Spoerke JM, Fridlyand J, Koeppen H, Fuentes E, et al. Development of a robust RNA-based classifier to accurately determine ER, PR, and HER2 status in breast cancer clinical samples. Breast Cancer Res Treat. 2014 Nov;148(2):315–25.

9 FinHer-Studie, identifier ISRCTN76560285)