Skip to main content
Top
Published in: Medical Oncology 10/2014

01-10-2014 | Original Paper

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

Published in: Medical Oncology | Issue 10/2014

Login to get access

Abstract

The purpose of this study was to assess the correlation of the pathologic complete response (pCR) and near-complete pathologic response (npCR) between gene expression profiling using either the dataset of 150 genes as determined by BluePrint/MammaPrint versus PAM50 molecular subtyping. The samples were from patients with operable early-stage breast cancer prior to neoadjuvant chemotherapy of capecitabine plus docetaxel, with or without trastuzumab. Molecular subtyping data were analyzed on samples from 122 patients enrolled in XeNA neoadjuvant trial. The biopsies were obtained as part of the original study where PAM50 assay was performed using custom-designed full genome 44,000 feature Agilent microarrays, and TP53 mutational analysis was performed on pretreatment tumor tissue using the AmpliChip TP53 assay. For the current study, clinical and pathological endpoints, TP53 mutation analysis and PAM50 results were collected through GEO at NCBI (GSE22358). MammaPrint and BluePrint outcomes were determined from the available gene expression data. The overall pCR plus npCR rate was 25 % (30/122). Stratified by BluePrint/MammaPrint, patients of HER2 type had the best response (59 %), while luminal A (7 %) and B (9 %) subtypes had the poorest. The pCR plus npCR rate in patients classified with PAM50 assay was 76 % in HER2 type, 10 % in luminal A type, and 5 % in luminal B type. The pCR plus npCR rate [22/61 (36 %)] among TP53-mutated patients was significantly higher than TP53 wild-type patients [7/54 (13 %); P = 0.012]. Concordance of BluePrint/MammaPrint with PAM50 molecular subtyping was only 59 %. Regardless of the molecular subtype, for patient samples with concordant BluePrint/MammaPrint and PAM50 data, the pCR plus npCR rate in TP53 mutant samples was 17/39 (44 %), whereas in patients whose tumors were TP53 wild type, it was 5/31 (16 %). Molecular and intrinsic subtyping may provide predictive information for patients treated with docetaxel plus capecitabine ± trastuzumab preoperatively, and these results need to be further evaluated. The differences between the two methodologies need clarification in a prospective manner and being compared to the standard IHC–FISH testing.
Literature
1.
go back to reference Perou CM, Sorlie T, Eisen MB, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747–52.PubMedCrossRef Perou CM, Sorlie T, Eisen MB, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747–52.PubMedCrossRef
2.
go back to reference Sorlie T, Perou CM, Tibshirani R, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA. 2001;98:10869–74.PubMedCrossRefPubMedCentral Sorlie T, Perou CM, Tibshirani R, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA. 2001;98:10869–74.PubMedCrossRefPubMedCentral
3.
go back to reference van’t Veer LJ, Dai H, van de Vijver MJ, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002;415:530–6.CrossRef van’t Veer LJ, Dai H, van de Vijver MJ, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002;415:530–6.CrossRef
4.
5.
go back to reference Nguyen B, Cusumano PG, Deck K, et al. Comparison of molecular subtyping with BluePrint, MammaPrint, and TargetPrint to local clinical subtyping in breast cancer patients. Ann Surg Oncol. 2012;19:3257–63.PubMedCrossRef Nguyen B, Cusumano PG, Deck K, et al. Comparison of molecular subtyping with BluePrint, MammaPrint, and TargetPrint to local clinical subtyping in breast cancer patients. Ann Surg Oncol. 2012;19:3257–63.PubMedCrossRef
6.
go back to reference Goldhirsch A, Wood WC, Coates AS, et al. Strategies for subtypes–dealing with the diversity of breast cancer: highlights of the St. Gallen International expert consensus on the primary therapy of early breast cancer 2011. Ann Oncol. 2011;22:1736–47.PubMedCrossRefPubMedCentral Goldhirsch A, Wood WC, Coates AS, et al. Strategies for subtypes–dealing with the diversity of breast cancer: highlights of the St. Gallen International expert consensus on the primary therapy of early breast cancer 2011. Ann Oncol. 2011;22:1736–47.PubMedCrossRefPubMedCentral
7.
go back to reference Buyse M, Loi S, Van’t Veer L, et al. Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst. 2006;98:1183–92.PubMedCrossRef Buyse M, Loi S, Van’t Veer L, et al. Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst. 2006;98:1183–92.PubMedCrossRef
8.
go back to reference Mook S, Schmidt MK, Viale G, et al. The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1–3 positive lymph nodes in an independent validation study. Breast Cancer Res Treat. 2009;116:295–302.PubMedCrossRef Mook S, Schmidt MK, Viale G, et al. The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1–3 positive lymph nodes in an independent validation study. Breast Cancer Res Treat. 2009;116:295–302.PubMedCrossRef
9.
go back to reference Nielsen TO, Parker JS, Leung S, et al. A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor-positive breast cancer. Clin Cancer Res. 2010;16:5222–32.PubMedCrossRefPubMedCentral Nielsen TO, Parker JS, Leung S, et al. A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor-positive breast cancer. Clin Cancer Res. 2010;16:5222–32.PubMedCrossRefPubMedCentral
10.
go back to reference Gluck S, McKenna EF Jr, Royce M. XeNA: capecitabine plus docetaxel, with or without trastuzumab, as preoperative therapy for early breast cancer. Int J Med Sci. 2008;5:341–6.PubMedCrossRefPubMedCentral Gluck S, McKenna EF Jr, Royce M. XeNA: capecitabine plus docetaxel, with or without trastuzumab, as preoperative therapy for early breast cancer. Int J Med Sci. 2008;5:341–6.PubMedCrossRefPubMedCentral
11.
go back to reference Singletary SE, Greene FL. Revision of breast cancer staging: the 6th edition of the TNM classification. Semin Surg Oncol. 2003;21:53–9.PubMedCrossRef Singletary SE, Greene FL. Revision of breast cancer staging: the 6th edition of the TNM classification. Semin Surg Oncol. 2003;21:53–9.PubMedCrossRef
12.
go back to reference Grollman AP, Shibutani S, Moriya M, et al. Aristolochic acid and the etiology of endemic (Balkan) nephropathy. Proc Natl Acad Sci USA. 2007;104:12129–34.PubMedCrossRefPubMedCentral Grollman AP, Shibutani S, Moriya M, et al. Aristolochic acid and the etiology of endemic (Balkan) nephropathy. Proc Natl Acad Sci USA. 2007;104:12129–34.PubMedCrossRefPubMedCentral
13.
go back to reference L’Esperance S, Popa I, Bachvarova M, et al. Gene expression profiling of paired ovarian tumors obtained prior to and following adjuvant chemotherapy: molecular signatures of chemoresistant tumors. Int J Oncol. 2006;29:5–24.PubMed L’Esperance S, Popa I, Bachvarova M, et al. Gene expression profiling of paired ovarian tumors obtained prior to and following adjuvant chemotherapy: molecular signatures of chemoresistant tumors. Int J Oncol. 2006;29:5–24.PubMed
14.
go back to reference Clopper CJ, Pearson E. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika. 1934;26:404.CrossRef Clopper CJ, Pearson E. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika. 1934;26:404.CrossRef
15.
go back to reference Rouzier R, Perou CM, Symmans WF, et al. Breast cancer molecular subtypes respond differently to preoperative chemotherapy. Clin Cancer Res. 2005;11:5678–85.PubMedCrossRef Rouzier R, Perou CM, Symmans WF, et al. Breast cancer molecular subtypes respond differently to preoperative chemotherapy. Clin Cancer Res. 2005;11:5678–85.PubMedCrossRef
16.
go back to reference Kelly CM, Bernard PS, Krishnamurthy S, et al. Agreement in risk prediction between the 21-gene recurrence score assay (Oncotype DX(R)) and the PAM50 breast cancer intrinsic Classifier in early-stage estrogen receptor-positive breast cancer. Oncologist. 2012;17:492–8.PubMedCrossRefPubMedCentral Kelly CM, Bernard PS, Krishnamurthy S, et al. Agreement in risk prediction between the 21-gene recurrence score assay (Oncotype DX(R)) and the PAM50 breast cancer intrinsic Classifier in early-stage estrogen receptor-positive breast cancer. Oncologist. 2012;17:492–8.PubMedCrossRefPubMedCentral
17.
go back to reference Dowsett M, Lopez-Knowles E, Sidhu K, et al. Comparison of PAM50 risk of recurrence (ROR) score with OncotypeDx and IHC4 for predicting residual risk of RFS and distant-(D) RFS after endocrine therapy: a TransATAC study. Cancer Res. 2011;71:S4–5. Dowsett M, Lopez-Knowles E, Sidhu K, et al. Comparison of PAM50 risk of recurrence (ROR) score with OncotypeDx and IHC4 for predicting residual risk of RFS and distant-(D) RFS after endocrine therapy: a TransATAC study. Cancer Res. 2011;71:S4–5.
18.
go back to reference Prat A, Parker JS, Fan C, et al. Concordance among gene expression-based predictors for ER-positive breast cancer treated with adjuvant tamoxifen. Ann Oncol. 2012;23:2866–73.PubMedCrossRefPubMedCentral Prat A, Parker JS, Fan C, et al. Concordance among gene expression-based predictors for ER-positive breast cancer treated with adjuvant tamoxifen. Ann Oncol. 2012;23:2866–73.PubMedCrossRefPubMedCentral
19.
go back to reference Iwamoto T, Lee JS, Bianchini G, et al. First generation prognostic gene signatures for breast cancer predict both survival and chemotherapy sensitivity and identify overlapping patient populations. Breast Cancer Res Treat. 2011;130:155–64.PubMedCrossRef Iwamoto T, Lee JS, Bianchini G, et al. First generation prognostic gene signatures for breast cancer predict both survival and chemotherapy sensitivity and identify overlapping patient populations. Breast Cancer Res Treat. 2011;130:155–64.PubMedCrossRef
20.
go back to reference Glück S, De Snoo F, Peeters J, Stork-Sloots L, Somlo G. Molecular subtyping of early-stage breast cancer identifies a group of patients who do not benefit from neoadjuvant chemotherapy. Breast Cancer Res Treat. 2013;139(3):759–67. Glück S, De Snoo F, Peeters J, Stork-Sloots L, Somlo G. Molecular subtyping of early-stage breast cancer identifies a group of patients who do not benefit from neoadjuvant chemotherapy. Breast Cancer Res Treat. 2013;139(3):759–67.
21.
go back to reference Aas T, Borresen AL, Geisler S, et al. Specific P53 mutations are associated with de novo resistance to doxorubicin in breast cancer patients. Nat Med. 1996;2:811–4.PubMedCrossRef Aas T, Borresen AL, Geisler S, et al. Specific P53 mutations are associated with de novo resistance to doxorubicin in breast cancer patients. Nat Med. 1996;2:811–4.PubMedCrossRef
22.
go back to reference Geisler S, Lonning PE, Aas T, et al. Influence of TP53 gene alterations and c-erbB-2 expression on the response to treatment with doxorubicin in locally advanced breast cancer. Cancer Res. 2001;61:2505–12.PubMed Geisler S, Lonning PE, Aas T, et al. Influence of TP53 gene alterations and c-erbB-2 expression on the response to treatment with doxorubicin in locally advanced breast cancer. Cancer Res. 2001;61:2505–12.PubMed
23.
go back to reference Andersson J, Larsson L, Klaar S, et al. Worse survival for TP53 (p53)-mutated breast cancer patients receiving adjuvant CMF. Ann Oncol. 2005;16:743–8.PubMedCrossRef Andersson J, Larsson L, Klaar S, et al. Worse survival for TP53 (p53)-mutated breast cancer patients receiving adjuvant CMF. Ann Oncol. 2005;16:743–8.PubMedCrossRef
24.
go back to reference Di Leo A, Tanner M, Desmedt C, et al. p-53 gene mutations as a predictive marker in a population of advanced breast cancer patients randomly treated with doxorubicin or docetaxel in the context of a phase III clinical trial. Ann Oncol. 2007;18:997–1003.PubMedCrossRef Di Leo A, Tanner M, Desmedt C, et al. p-53 gene mutations as a predictive marker in a population of advanced breast cancer patients randomly treated with doxorubicin or docetaxel in the context of a phase III clinical trial. Ann Oncol. 2007;18:997–1003.PubMedCrossRef
25.
go back to reference Kandioler-Eckersberger D, Ludwig C, Rudas M, et al. TP53 mutation and p53 overexpression for prediction of response to neoadjuvant treatment in breast cancer patients. Clin Cancer Res. 2000;6:50–6.PubMed Kandioler-Eckersberger D, Ludwig C, Rudas M, et al. TP53 mutation and p53 overexpression for prediction of response to neoadjuvant treatment in breast cancer patients. Clin Cancer Res. 2000;6:50–6.PubMed
26.
go back to reference Carvajal D, Tovar C, Yang H, et al. Activation of p53 by MDM2 antagonists can protect proliferating cells from mitotic inhibitors. Cancer Res. 2005;65:1918–24.PubMedCrossRef Carvajal D, Tovar C, Yang H, et al. Activation of p53 by MDM2 antagonists can protect proliferating cells from mitotic inhibitors. Cancer Res. 2005;65:1918–24.PubMedCrossRef
27.
go back to reference Tabchy A, Valero V, Vidaurre T, et al. Evaluation of a 30-gene paclitaxel, fluorouracil, doxorubicin, and cyclophosphamide chemotherapy response predictor in a multicenter randomized trial in breast cancer. Clin Cancer Res. 2010;16:5351–61.PubMedCrossRef Tabchy A, Valero V, Vidaurre T, et al. Evaluation of a 30-gene paclitaxel, fluorouracil, doxorubicin, and cyclophosphamide chemotherapy response predictor in a multicenter randomized trial in breast cancer. Clin Cancer Res. 2010;16:5351–61.PubMedCrossRef
28.
go back to reference Hess KR, Anderson K, Symmans WF, et al. Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer. J Clin Oncol. 2006;24:4236–44.PubMedCrossRef Hess KR, Anderson K, Symmans WF, et al. Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer. J Clin Oncol. 2006;24:4236–44.PubMedCrossRef
29.
go back to reference Peintinger F, Anderson K, Mazouni C, et al. Thirty-gene pharmacogenomic test correlates with residual cancer burden after preoperative chemotherapy for breast cancer. Clin Cancer Res. 2007;13:4078–82.PubMedCrossRef Peintinger F, Anderson K, Mazouni C, et al. Thirty-gene pharmacogenomic test correlates with residual cancer burden after preoperative chemotherapy for breast cancer. Clin Cancer Res. 2007;13:4078–82.PubMedCrossRef
Metadata
Title
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
Publication date
01-10-2014
Publisher
Springer US
Published in
Medical Oncology / Issue 10/2014
Print ISSN: 1357-0560
Electronic ISSN: 1559-131X
DOI
https://doi.org/10.1007/s12032-014-0163-9

Other articles of this Issue 10/2014

Medical Oncology 10/2014 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.