Skip to main content
Top
Published in: Virchows Archiv 3/2017

01-03-2017 | Original Article

Breast carcinoma subtypes show different patterns of metastatic behavior

Authors: István Artúr Molnár, Béla Ákos Molnár, Laura Vízkeleti, Krisztina Fekete, Judit Tamás, Péter Deák, Csilla Szundi, Borbála Székely, Judit Moldvay, Stefan Vári-Kakas, Marcell A. Szász, Balázs Ács, Janina Kulka, Anna-Mária Tőkés

Published in: Virchows Archiv | Issue 3/2017

Login to get access

Abstract

The aim of our retrospective study was to analyze patterns of subtype specific metastatic spread and to identify the time course of distant metastases. A consecutive series of 490 patients with breast cancer who underwent surgery and postoperative treatment at Semmelweis University, Hungary, and diagnosed between the years 2000 and 2007 was identified from the archives of the 2nd Department of Pathology, Hungary. Molecular subtypes were defined based on the 2011 St. Gallen recommendations. Statistical analysis was performed with SPSS Statistics for Windows, Version 22.0. Distant metastasis free survival (DMFS) was defined as the time elapsed between the first pathological diagnosis of the tumor and the first distant metastasis detection. Distant metastases were detected in 124 patients. Mean time to develop metastasis was 29 months (range 0–127 months). The longest DMFS was observed in the Luminal A (LUMA) subtype (mean 39 months) whereas the shortest was seen in the HER2-positive (HER2+) subtype (mean 21 months; p = 0.012). We confirmed that HER2+ tumors carry a higher risk for distant metastases (42.1%). LUMA-associated metastases were found to be solitary in 59% of cases, whereas HER2+ tumors showed multiple metastases in 79.2% of cases. LUMA tumors showed a preference for bone-only metastasis as compared with HER2+ and triple negative breast cancer (TNBC) cases, which exhibited a higher rate of brain metastasis. The most frequent second metastatic sites of hormone receptor (HR) positive tumors were the lung and liver, whereas the brain was the most affected organ in HR-negative (HR−) cases. Tumor subtypes differ in DMFS and in pattern of distant metastases. HER2+ tumors featured the most aggressive clinical course. Further identification of subtype-specific factors influencing prognosis might have an impact on clinical care and decision-making.
Literature
1.
go back to reference Gerratana L et al (2015) Pattern of metastasis and outcome in patients with breast cancer. Clin Exp Metastasis 32(2):125–133CrossRefPubMed Gerratana L et al (2015) Pattern of metastasis and outcome in patients with breast cancer. Clin Exp Metastasis 32(2):125–133CrossRefPubMed
2.
go back to reference Joensuu K et al (2013) ER, PR, HER2, Ki-67 and CK5 in early and late relapsing breast cancer-reduced CK5 expression in metastases. Breast Cancer (Auckl) 7:23–34 Joensuu K et al (2013) ER, PR, HER2, Ki-67 and CK5 in early and late relapsing breast cancer-reduced CK5 expression in metastases. Breast Cancer (Auckl) 7:23–34
3.
go back to reference Kast K et al (2015) Impact of breast cancer subtypes and patterns of metastasis on outcome. Breast Cancer Res Treat 150(3):621–629CrossRefPubMed Kast K et al (2015) Impact of breast cancer subtypes and patterns of metastasis on outcome. Breast Cancer Res Treat 150(3):621–629CrossRefPubMed
4.
go back to reference Kennecke H et al (2010) Metastatic behavior of breast cancer subtypes. J Clin Oncol 28(20):3271–3277CrossRefPubMed Kennecke H et al (2010) Metastatic behavior of breast cancer subtypes. J Clin Oncol 28(20):3271–3277CrossRefPubMed
5.
6.
go back to reference Aurilio G et al (2013) Discordant hormone receptor and human epidermal growth factor receptor 2 status in bone metastases compared to primary breast cancer. Acta Oncol 52(8):1649–1656CrossRefPubMed Aurilio G et al (2013) Discordant hormone receptor and human epidermal growth factor receptor 2 status in bone metastases compared to primary breast cancer. Acta Oncol 52(8):1649–1656CrossRefPubMed
7.
go back to reference Cancello G et al (2013) Progesterone receptor loss identifies Luminal B breast cancer subgroups at higher risk of relapse. Ann Oncol 24(3):661–668CrossRefPubMed Cancello G et al (2013) Progesterone receptor loss identifies Luminal B breast cancer subgroups at higher risk of relapse. Ann Oncol 24(3):661–668CrossRefPubMed
8.
go back to reference Sihto H et al (2011) Breast cancer biological subtypes and protein expression predict for the preferential distant metastasis sites: a nationwide cohort study. Breast Cancer Res 13(5):R87CrossRefPubMedPubMedCentral Sihto H et al (2011) Breast cancer biological subtypes and protein expression predict for the preferential distant metastasis sites: a nationwide cohort study. Breast Cancer Res 13(5):R87CrossRefPubMedPubMedCentral
9.
go back to reference Blighe K et al (2014) Whole genome sequence analysis suggests intratumoral heterogeneity in dissemination of breast cancer to lymph nodes. PLoS One 9(12):e115346CrossRefPubMedPubMedCentral Blighe K et al (2014) Whole genome sequence analysis suggests intratumoral heterogeneity in dissemination of breast cancer to lymph nodes. PLoS One 9(12):e115346CrossRefPubMedPubMedCentral
10.
go back to reference Sant M et al (2004) Breast carcinoma survival in Europe and the United States. Cancer 100(4):715–722CrossRefPubMed Sant M et al (2004) Breast carcinoma survival in Europe and the United States. Cancer 100(4):715–722CrossRefPubMed
12.
go back to reference Goldhirsch A et al (2011) 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 22(8):1736–1747CrossRefPubMedPubMedCentral Goldhirsch A et al (2011) 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 22(8):1736–1747CrossRefPubMedPubMedCentral
13.
go back to reference Goldhirsch A (2013) Personalized adjuvant therapies: lessons from the past: the opening address by the St. Gallen 2013 award recipient. Breast 22(Suppl 2):S3–S7CrossRefPubMed Goldhirsch A (2013) Personalized adjuvant therapies: lessons from the past: the opening address by the St. Gallen 2013 award recipient. Breast 22(Suppl 2):S3–S7CrossRefPubMed
14.
go back to reference Cserni G et al (2014) Distribution pattern of the Ki67 labelling index in breast cancer and its implications for choosing cut-off values. Breast 23(3):259–263CrossRefPubMed Cserni G et al (2014) Distribution pattern of the Ki67 labelling index in breast cancer and its implications for choosing cut-off values. Breast 23(3):259–263CrossRefPubMed
15.
go back to reference Selmeci TTA, Róna Á, Molnár BÁ, Kenessey I, Székely B, Szász AM, Kulka J (2014) Prognostic role of progesteron receptor expression in HER2 negative Luminal B breast cancers. Nőgyógyászati Onkológia 19:47–49 Selmeci TTA, Róna Á, Molnár BÁ, Kenessey I, Székely B, Szász AM, Kulka J (2014) Prognostic role of progesteron receptor expression in HER2 negative Luminal B breast cancers. Nőgyógyászati Onkológia 19:47–49
16.
go back to reference Wolff AC et al (2007) 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 25(1):118–145CrossRefPubMed Wolff AC et al (2007) 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 25(1):118–145CrossRefPubMed
17.
go back to reference Wolff AC et al (2014) Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. Arch Pathol Lab Med 138(2):241–256CrossRefPubMed Wolff AC et al (2014) Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. Arch Pathol Lab Med 138(2):241–256CrossRefPubMed
18.
go back to reference Ostrovnaya I et al (2010) A metastasis or a second independent cancer? Evaluating the clonal origin of tumors using array copy number data. Stat Med 29(15):1608–1621PubMedPubMedCentral Ostrovnaya I et al (2010) A metastasis or a second independent cancer? Evaluating the clonal origin of tumors using array copy number data. Stat Med 29(15):1608–1621PubMedPubMedCentral
19.
go back to reference Bueno-de-Mesquita JM et al (2009) Validation of 70-gene prognosis signature in node-negative breast cancer. Breast Cancer Res Treat 117(3):483–495CrossRefPubMed Bueno-de-Mesquita JM et al (2009) Validation of 70-gene prognosis signature in node-negative breast cancer. Breast Cancer Res Treat 117(3):483–495CrossRefPubMed
20.
go back to reference van de Vijver MJ et al (2002) A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 347(25):1999–2009CrossRefPubMed van de Vijver MJ et al (2002) A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 347(25):1999–2009CrossRefPubMed
21.
go back to reference Gyorffy B et al (2015) Dynamic classification using case-specific training cohorts outperforms static gene expression signatures in breast cancer. Int J Cancer 136(9):2091–2098CrossRefPubMed Gyorffy B et al (2015) Dynamic classification using case-specific training cohorts outperforms static gene expression signatures in breast cancer. Int J Cancer 136(9):2091–2098CrossRefPubMed
22.
go back to reference Sotiriou C et al (2006) Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst 98(4):262–272CrossRefPubMed Sotiriou C et al (2006) Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst 98(4):262–272CrossRefPubMed
23.
go back to reference Brockton NT et al (2015) The Breast Cancer to Bone (B2B) Metastases Research Program: a multi-disciplinary investigation of bone metastases from breast cancer. BMC Cancer 15:512CrossRefPubMedPubMedCentral Brockton NT et al (2015) The Breast Cancer to Bone (B2B) Metastases Research Program: a multi-disciplinary investigation of bone metastases from breast cancer. BMC Cancer 15:512CrossRefPubMedPubMedCentral
24.
go back to reference Kim HJ et al (2015) Metastasis-free interval is closely related to tumor characteristics and has prognostic value in breast cancer patients with distant relapse. J Breast Cancer 18(4):371–377CrossRefPubMedPubMedCentral Kim HJ et al (2015) Metastasis-free interval is closely related to tumor characteristics and has prognostic value in breast cancer patients with distant relapse. J Breast Cancer 18(4):371–377CrossRefPubMedPubMedCentral
25.
go back to reference Rugo HS (2008) The importance of distant metastases in hormone-sensitive breast cancer. Breast 17(Suppl 1):S3–S8CrossRefPubMed Rugo HS (2008) The importance of distant metastases in hormone-sensitive breast cancer. Breast 17(Suppl 1):S3–S8CrossRefPubMed
26.
go back to reference Soni A et al (2015) Breast cancer subtypes predispose the site of distant metastases. Am J Clin Pathol 143(4):471–478CrossRefPubMed Soni A et al (2015) Breast cancer subtypes predispose the site of distant metastases. Am J Clin Pathol 143(4):471–478CrossRefPubMed
27.
go back to reference Aleskandarany MA et al (2015) Markers of progression in early-stage invasive breast cancer: a predictive immunohistochemical panel algorithm for distant recurrence risk stratification. Breast Cancer Res Treat 151(2):325–333CrossRefPubMed Aleskandarany MA et al (2015) Markers of progression in early-stage invasive breast cancer: a predictive immunohistochemical panel algorithm for distant recurrence risk stratification. Breast Cancer Res Treat 151(2):325–333CrossRefPubMed
28.
go back to reference Sato K et al (2016) Prognostic significance of the progesterone receptor status in Ki67-high and -low Luminal B-like HER2-negative breast cancers. Breast Cancer 23(2):310–317CrossRefPubMed Sato K et al (2016) Prognostic significance of the progesterone receptor status in Ki67-high and -low Luminal B-like HER2-negative breast cancers. Breast Cancer 23(2):310–317CrossRefPubMed
29.
go back to reference Desmedt C, Yates L, Kulka J (2016) Catalog of genetic progression of human cancers: breast cancer. Cancer Metastasis Rev 35(1):49–62CrossRefPubMed Desmedt C, Yates L, Kulka J (2016) Catalog of genetic progression of human cancers: breast cancer. Cancer Metastasis Rev 35(1):49–62CrossRefPubMed
30.
go back to reference Kulka J et al (2016) Comparison of predictive immunohistochemical marker expression of primary breast cancer and paired distant metastasis using surgical material: a practice-based study. J Histochem Cytochem 64(4):256–267CrossRefPubMed Kulka J et al (2016) Comparison of predictive immunohistochemical marker expression of primary breast cancer and paired distant metastasis using surgical material: a practice-based study. J Histochem Cytochem 64(4):256–267CrossRefPubMed
31.
go back to reference Kimbung S, Loman N, Hedenfalk I (2015) Clinical and molecular complexity of breast cancer metastases. Semin Cancer Biol 35:85–95CrossRefPubMed Kimbung S, Loman N, Hedenfalk I (2015) Clinical and molecular complexity of breast cancer metastases. Semin Cancer Biol 35:85–95CrossRefPubMed
32.
go back to reference Bahrami T et al (2016) The molecular signature of breast cancer metastasis to bone. Anti-Cancer Drugs 27(9):824–831CrossRefPubMed Bahrami T et al (2016) The molecular signature of breast cancer metastasis to bone. Anti-Cancer Drugs 27(9):824–831CrossRefPubMed
34.
go back to reference Weidle UH et al (2016) Dissection of the process of brain metastasis reveals targets and mechanisms for molecular-based intervention. Cancer Genomics Proteomics 13(4):245–258PubMed Weidle UH et al (2016) Dissection of the process of brain metastasis reveals targets and mechanisms for molecular-based intervention. Cancer Genomics Proteomics 13(4):245–258PubMed
35.
go back to reference Kimbung S et al (2016) Transcriptional profiling of breast cancer metastases identifies liver metastasis-selective genes associated with adverse outcome in Luminal A primary breast cancer. Clin Cancer Res 22(1):146–157CrossRefPubMed Kimbung S et al (2016) Transcriptional profiling of breast cancer metastases identifies liver metastasis-selective genes associated with adverse outcome in Luminal A primary breast cancer. Clin Cancer Res 22(1):146–157CrossRefPubMed
36.
go back to reference Kimbung S et al (2015) Contrasting breast cancer molecular subtypes across serial tumor progression stages: biological and prognostic implications. Oncotarget 6(32):33306–33318PubMedPubMedCentral Kimbung S et al (2015) Contrasting breast cancer molecular subtypes across serial tumor progression stages: biological and prognostic implications. Oncotarget 6(32):33306–33318PubMedPubMedCentral
37.
go back to reference Smid M et al (2008) Subtypes of breast cancer show preferential site of relapse. Cancer Res 68(9):3108–3114CrossRefPubMed Smid M et al (2008) Subtypes of breast cancer show preferential site of relapse. Cancer Res 68(9):3108–3114CrossRefPubMed
38.
39.
go back to reference Harrell JC et al (2012) Genomic analysis identifies unique signatures predictive of brain, lung, and liver relapse. Breast Cancer Res Treat 132(2):523–535CrossRefPubMed Harrell JC et al (2012) Genomic analysis identifies unique signatures predictive of brain, lung, and liver relapse. Breast Cancer Res Treat 132(2):523–535CrossRefPubMed
40.
go back to reference Lin NU et al (2012) Clinicopathologic features, patterns of recurrence, and survival among women with triple-negative breast cancer in the National Comprehensive Cancer Network. Cancer 118(22):5463–5472CrossRefPubMedPubMedCentral Lin NU et al (2012) Clinicopathologic features, patterns of recurrence, and survival among women with triple-negative breast cancer in the National Comprehensive Cancer Network. Cancer 118(22):5463–5472CrossRefPubMedPubMedCentral
41.
go back to reference Pestalozzi BC et al (2006) Identifying breast cancer patients at risk for central nervous system (CNS) metastases in trials of the International Breast Cancer Study Group (IBCSG). Ann Oncol 17(6):935–944CrossRefPubMed Pestalozzi BC et al (2006) Identifying breast cancer patients at risk for central nervous system (CNS) metastases in trials of the International Breast Cancer Study Group (IBCSG). Ann Oncol 17(6):935–944CrossRefPubMed
42.
go back to reference Saunus JM et al (2015) Integrated genomic and transcriptomic analysis of human brain metastases identifies alterations of potential clinical significance. J Pathol 237(3):363–378CrossRefPubMed Saunus JM et al (2015) Integrated genomic and transcriptomic analysis of human brain metastases identifies alterations of potential clinical significance. J Pathol 237(3):363–378CrossRefPubMed
43.
go back to reference Rostami R et al (2016) Brain metastasis in breast cancer: a comprehensive literature review. J Neuro-Oncol 127(3):407–414CrossRef Rostami R et al (2016) Brain metastasis in breast cancer: a comprehensive literature review. J Neuro-Oncol 127(3):407–414CrossRef
44.
go back to reference Olson EM et al (2013) Clinical outcomes and treatment practice patterns of patients with HER2-positive metastatic breast cancer in the post-trastuzumab era. Breast 22(4):525–531CrossRefPubMedPubMedCentral Olson EM et al (2013) Clinical outcomes and treatment practice patterns of patients with HER2-positive metastatic breast cancer in the post-trastuzumab era. Breast 22(4):525–531CrossRefPubMedPubMedCentral
45.
go back to reference Dawood S et al (2010) Prognosis of women with metastatic breast cancer by HER2 status and trastuzumab treatment: an institutional-based review. J Clin Oncol 28(1):92–98CrossRefPubMed Dawood S et al (2010) Prognosis of women with metastatic breast cancer by HER2 status and trastuzumab treatment: an institutional-based review. J Clin Oncol 28(1):92–98CrossRefPubMed
Metadata
Title
Breast carcinoma subtypes show different patterns of metastatic behavior
Authors
István Artúr Molnár
Béla Ákos Molnár
Laura Vízkeleti
Krisztina Fekete
Judit Tamás
Péter Deák
Csilla Szundi
Borbála Székely
Judit Moldvay
Stefan Vári-Kakas
Marcell A. Szász
Balázs Ács
Janina Kulka
Anna-Mária Tőkés
Publication date
01-03-2017
Publisher
Springer Berlin Heidelberg
Published in
Virchows Archiv / Issue 3/2017
Print ISSN: 0945-6317
Electronic ISSN: 1432-2307
DOI
https://doi.org/10.1007/s00428-017-2065-7

Other articles of this Issue 3/2017

Virchows Archiv 3/2017 Go to the issue