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Published in: Breast Cancer Research 4/2013

Open Access 01-08-2013 | Research article

Estrogen receptor negative/progesterone receptor positive breast cancer is not a reproducible subtype

Authors: Marco M Hefti, Rong Hu, Nicholas W Knoblauch, Laura C Collins, Benjamin Haibe-Kains, Rulla M Tamimi, Andrew H Beck

Published in: Breast Cancer Research | Issue 4/2013

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Abstract

Introduction

Estrogen receptor (ER) and progesterone receptor (PR) testing are performed in the evaluation of breast cancer. While the clinical utility of ER as a predictive biomarker to identify patients likely to benefit from hormonal therapy is well-established, the added value of PR is less well-defined. The primary goals of our study were to assess the distribution, inter-assay reproducibility, and prognostic significance of breast cancer subtypes defined by patterns of ER and PR expression.

Methods

We integrated gene expression microarray (GEM) and clinico-pathologic data from 20 published studies to determine the frequency (n = 4,111) and inter-assay reproducibility (n = 1,752) of ER/PR subtypes (ER+/PR+, ER+/PR-, ER-/PR-, ER-/PR+). To extend our findings, we utilized a cohort of patients from the Nurses’ Health Study (NHS) with ER/PR data recorded in the medical record and assessed on tissue microarrays (n = 2,011). In both datasets, we assessed the association of ER and PR expression with survival.

Results

In a genome-wide analysis, progesterone receptor was among the least variable genes in ER- breast cancer. The ER-/PR+ subtype was rare (approximately 1 to 4%) and showed no significant reproducibility (Kappa = 0.02 and 0.06, in the GEM and NHS datasets, respectively). The vast majority of patients classified as ER-/PR+ in the medical record (97% and 94%, in the GEM and NHS datasets) were re-classified by a second method. In the GEM dataset (n = 2,731), progesterone receptor mRNA expression was associated with prognosis in ER+ breast cancer (adjusted P <0.001), but not in ER- breast cancer (adjusted P = 0.21). PR protein expression did not contribute significant prognostic information to multivariate models considering ER and other standard clinico-pathologic features in the GEM or NHS datasets.

Conclusion

ER-/PR+ breast cancer is not a reproducible subtype. PR expression is not associated with prognosis in ER- breast cancer, and PR does not contribute significant independent prognostic information to multivariate models considering ER and other standard clinico-pathologic factors. Given that PR provides no clinically actionable information in ER+ breast cancer, these findings question the utility of routine PR testing in breast cancer.
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Literature
1.
go back to reference Hammond ME, Hayes DF, Dowsett M, Allred DC, Hagerty KL, Badve S, Fitzgibbons PL, Francis G, Goldstein NS, Hayes M, Hicks DG, Lester S, Love R, Mangu PB, McShane L, Miller K, Osborne CK, Paik S, Perlmutter J, Rhodes A, Sasano H, Schwartz JN, Sweep FC, Taube S, Torlakovic EE, Valenstein P, Viale G, Visscher D, Wheeler T, Williams RB, et al: American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol. 2010, 28: 2784-2795. 10.1200/JCO.2009.25.6529.CrossRefPubMedPubMedCentral Hammond ME, Hayes DF, Dowsett M, Allred DC, Hagerty KL, Badve S, Fitzgibbons PL, Francis G, Goldstein NS, Hayes M, Hicks DG, Lester S, Love R, Mangu PB, McShane L, Miller K, Osborne CK, Paik S, Perlmutter J, Rhodes A, Sasano H, Schwartz JN, Sweep FC, Taube S, Torlakovic EE, Valenstein P, Viale G, Visscher D, Wheeler T, Williams RB, et al: American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol. 2010, 28: 2784-2795. 10.1200/JCO.2009.25.6529.CrossRefPubMedPubMedCentral
2.
go back to reference Olivotto IA, Truong PT, Speers CH, Bernstein V, Allan SJ, Kelly SJ, Lesperance ML: Time to stop progesterone receptor testing in breast cancer management. J Clin Oncol. 2004, 22: 1769-1770. 10.1200/JCO.2004.99.251.CrossRefPubMed Olivotto IA, Truong PT, Speers CH, Bernstein V, Allan SJ, Kelly SJ, Lesperance ML: Time to stop progesterone receptor testing in breast cancer management. J Clin Oncol. 2004, 22: 1769-1770. 10.1200/JCO.2004.99.251.CrossRefPubMed
3.
go back to reference Colozza M, Larsimont D, Piccart MJ: Progesterone receptor testing: not the right time to be buried. J Clin Oncol. 2005, 23: 3867-3868. 10.1200/JCO.2005.05.167. author reply 3869–3870CrossRefPubMed Colozza M, Larsimont D, Piccart MJ: Progesterone receptor testing: not the right time to be buried. J Clin Oncol. 2005, 23: 3867-3868. 10.1200/JCO.2005.05.167. author reply 3869–3870CrossRefPubMed
4.
go back to reference Fuqua SA, Cui Y, Lee AV, Osborne CK, Horwitz KB: Insights into the role of progesterone receptors in breast cancer. J Clin Oncol. 2005, 23: 931-932. 10.1200/JCO.2005.05.152. author reply 932–933CrossRefPubMed Fuqua SA, Cui Y, Lee AV, Osborne CK, Horwitz KB: Insights into the role of progesterone receptors in breast cancer. J Clin Oncol. 2005, 23: 931-932. 10.1200/JCO.2005.05.152. author reply 932–933CrossRefPubMed
5.
go back to reference Horwitz KB, Koseki Y, McGuire WL: Estrogen control of progesterone receptor in human breast cancer: role of estradiol and antiestrogen. Endocrinology. 1978, 103: 1742-1751. 10.1210/endo-103-5-1742.CrossRefPubMed Horwitz KB, Koseki Y, McGuire WL: Estrogen control of progesterone receptor in human breast cancer: role of estradiol and antiestrogen. Endocrinology. 1978, 103: 1742-1751. 10.1210/endo-103-5-1742.CrossRefPubMed
6.
go back to reference Horwitz KB, McGuire W: Estrogen control of progesterone receptor in human breast cancer, correlation with nuclear processing of estrogen receptor. J Biol Chem. 1978, 253: 2223-2228.PubMed Horwitz KB, McGuire W: Estrogen control of progesterone receptor in human breast cancer, correlation with nuclear processing of estrogen receptor. J Biol Chem. 1978, 253: 2223-2228.PubMed
7.
go back to reference Horwitz KB, McGuire WL: Predicting response to endocrine therapy in human breast cancer: a hypothesis. Science. 1975, 189: 726-727. 10.1126/science.168640.CrossRefPubMed Horwitz KB, McGuire WL: Predicting response to endocrine therapy in human breast cancer: a hypothesis. Science. 1975, 189: 726-727. 10.1126/science.168640.CrossRefPubMed
8.
go back to reference Horwitz KB, McGuire WL: Estrogen control of progesterone receptor induction in human breast cancer: role of nuclear estrogen receptor. Adv Exp Med Biol. 1979, 117: 95-110. 10.1007/978-1-4757-6589-2_5.CrossRefPubMed Horwitz KB, McGuire WL: Estrogen control of progesterone receptor induction in human breast cancer: role of nuclear estrogen receptor. Adv Exp Med Biol. 1979, 117: 95-110. 10.1007/978-1-4757-6589-2_5.CrossRefPubMed
9.
go back to reference Dunnwald LK, Rossing MA, Li CI: Hormone receptor status, tumor characteristics, and prognosis: a prospective cohort of breast cancer patients. Breast Cancer Res. 2007, 9: R6-10.1186/bcr1639.CrossRefPubMedPubMedCentral Dunnwald LK, Rossing MA, Li CI: Hormone receptor status, tumor characteristics, and prognosis: a prospective cohort of breast cancer patients. Breast Cancer Res. 2007, 9: R6-10.1186/bcr1639.CrossRefPubMedPubMedCentral
10.
go back to reference Grann VR, Troxel AB, Zojwalla NJ, Jacobson JS, Hershman D, Neugut AI: Hormone receptor status and survival in a population-based cohort of patients with breast carcinoma. Cancer. 2005, 103: 2241-2251. 10.1002/cncr.21030.CrossRefPubMed Grann VR, Troxel AB, Zojwalla NJ, Jacobson JS, Hershman D, Neugut AI: Hormone receptor status and survival in a population-based cohort of patients with breast carcinoma. Cancer. 2005, 103: 2241-2251. 10.1002/cncr.21030.CrossRefPubMed
11.
go back to reference Bardou VJ, Arpino G, Elledge RM, Osborne CK, Clark GM: Progesterone receptor status significantly improves outcome prediction over estrogen receptor status alone for adjuvant endocrine therapy in two large breast cancer databases. J Clin Oncol. 2003, 21: 1973-1979. 10.1200/JCO.2003.09.099.CrossRefPubMed Bardou VJ, Arpino G, Elledge RM, Osborne CK, Clark GM: Progesterone receptor status significantly improves outcome prediction over estrogen receptor status alone for adjuvant endocrine therapy in two large breast cancer databases. J Clin Oncol. 2003, 21: 1973-1979. 10.1200/JCO.2003.09.099.CrossRefPubMed
12.
go back to reference Cancello G, Maisonneuve P, Rotmensz N, Viale G, Mastropasqua MG, Pruneri G, Montagna E, Iorfida M, Mazza M, Balduzzi A, Veronesi P, Luini A, Intra M, Goldhirsch A, Colleoni M: Progesterone receptor loss identifies luminal B breast cancer subgroups at higher risk of relapse. Ann Oncol. 2013, 24: 661-668. 10.1093/annonc/mds430.CrossRefPubMed Cancello G, Maisonneuve P, Rotmensz N, Viale G, Mastropasqua MG, Pruneri G, Montagna E, Iorfida M, Mazza M, Balduzzi A, Veronesi P, Luini A, Intra M, Goldhirsch A, Colleoni M: Progesterone receptor loss identifies luminal B breast cancer subgroups at higher risk of relapse. Ann Oncol. 2013, 24: 661-668. 10.1093/annonc/mds430.CrossRefPubMed
13.
go back to reference Prat A, Cheang MC, Martin M, Parker JS, Carrasco E, Caballero R, Tyldesley S, Gelmon K, Bernard PS, Nielsen TO, Perou CM: Prognostic significance of progesterone receptor-positive tumor cells within immunohistochemically defined luminal A breast cancer. J Clin Oncol. 2013, 31: 203-209. 10.1200/JCO.2012.43.4134.CrossRefPubMed Prat A, Cheang MC, Martin M, Parker JS, Carrasco E, Caballero R, Tyldesley S, Gelmon K, Bernard PS, Nielsen TO, Perou CM: Prognostic significance of progesterone receptor-positive tumor cells within immunohistochemically defined luminal A breast cancer. J Clin Oncol. 2013, 31: 203-209. 10.1200/JCO.2012.43.4134.CrossRefPubMed
14.
go back to reference Davies C, Godwin J, Gray R, Clarke M, Cutter D, Darby S, McGale P, Pan HC, Taylor C, Wang YC, Dowsett M, Ingle J, Peto R, Early Breast Cancer Trialists' Collaborative Group (EBCTCG): Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials. Lancet. 2011, 378: 771-784.CrossRefPubMed Davies C, Godwin J, Gray R, Clarke M, Cutter D, Darby S, McGale P, Pan HC, Taylor C, Wang YC, Dowsett M, Ingle J, Peto R, Early Breast Cancer Trialists' Collaborative Group (EBCTCG): Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials. Lancet. 2011, 378: 771-784.CrossRefPubMed
15.
go back to reference Rakha EA, El-Sayed ME, Green AR, Paish EC, Powe DG, Gee J, Nicholson RI, Lee AH, Robertson JF, Ellis IO: Biologic and clinical characteristics of breast cancer with single hormone receptor positive phenotype. J Clin Oncol. 2007, 25: 4772-4778. 10.1200/JCO.2007.12.2747.CrossRefPubMed Rakha EA, El-Sayed ME, Green AR, Paish EC, Powe DG, Gee J, Nicholson RI, Lee AH, Robertson JF, Ellis IO: Biologic and clinical characteristics of breast cancer with single hormone receptor positive phenotype. J Clin Oncol. 2007, 25: 4772-4778. 10.1200/JCO.2007.12.2747.CrossRefPubMed
16.
go back to reference Rhodes A, Jasani B: The oestrogen receptor-negative/progesterone receptor-positive breast tumour: a biological entity or a technical artefact?. J Clin Pathol. 2009, 62: 95-96.CrossRefPubMed Rhodes A, Jasani B: The oestrogen receptor-negative/progesterone receptor-positive breast tumour: a biological entity or a technical artefact?. J Clin Pathol. 2009, 62: 95-96.CrossRefPubMed
17.
go back to reference De Maeyer L, Van Limbergen E, De Nys K, Moerman P, Pochet N, Hendrickx W, Wildiers H, Paridaens R, Smeets A, Christiaens MR, Vergote I, Leunen K, Amant F, Neven P: Does estrogen receptor negative/progesterone receptor positive breast carcinoma exist?. J Clin Oncol. 2008, 26: 335-336. 10.1200/JCO.2007.14.8411. author reply 336–338CrossRefPubMed De Maeyer L, Van Limbergen E, De Nys K, Moerman P, Pochet N, Hendrickx W, Wildiers H, Paridaens R, Smeets A, Christiaens MR, Vergote I, Leunen K, Amant F, Neven P: Does estrogen receptor negative/progesterone receptor positive breast carcinoma exist?. J Clin Oncol. 2008, 26: 335-336. 10.1200/JCO.2007.14.8411. author reply 336–338CrossRefPubMed
18.
go back to reference Nadji M, Gomez-Fernandez C, Ganjei-Azar P, Morales AR: Immunohistochemistry of estrogen and progesterone receptors reconsidered: experience with 5,993 breast cancers. Am J Clin Pathol. 2005, 123: 21-27. 10.1309/4WV79N2GHJ3X1841.CrossRefPubMed Nadji M, Gomez-Fernandez C, Ganjei-Azar P, Morales AR: Immunohistochemistry of estrogen and progesterone receptors reconsidered: experience with 5,993 breast cancers. Am J Clin Pathol. 2005, 123: 21-27. 10.1309/4WV79N2GHJ3X1841.CrossRefPubMed
19.
go back to reference Colditz GA, Rosner BA, Chen WY, Holmes MD, Hankinson SE: Risk factors for breast cancer according to estrogen and progesterone receptor status. J Natl Cancer Inst. 2004, 96: 218-228. 10.1093/jnci/djh025.CrossRefPubMed Colditz GA, Rosner BA, Chen WY, Holmes MD, Hankinson SE: Risk factors for breast cancer according to estrogen and progesterone receptor status. J Natl Cancer Inst. 2004, 96: 218-228. 10.1093/jnci/djh025.CrossRefPubMed
20.
go back to reference Haibe-Kains B, Desmedt C, Loi S, Culhane AC, Bontempi G, Quackenbush J, Sotiriou C: A three-gene model to robustly identify breast cancer molecular subtypes. J Natl Cancer Inst. 2012, 104: 311-325. 10.1093/jnci/djr545.CrossRefPubMedPubMedCentral Haibe-Kains B, Desmedt C, Loi S, Culhane AC, Bontempi G, Quackenbush J, Sotiriou C: A three-gene model to robustly identify breast cancer molecular subtypes. J Natl Cancer Inst. 2012, 104: 311-325. 10.1093/jnci/djr545.CrossRefPubMedPubMedCentral
21.
go back to reference Cancer Genome Atlas Network: Comprehensive molecular portraits of human breast tumours. Nature. 2012, 490: 61-70. 10.1038/nature11412.CrossRef Cancer Genome Atlas Network: Comprehensive molecular portraits of human breast tumours. Nature. 2012, 490: 61-70. 10.1038/nature11412.CrossRef
22.
go back to reference Carletta J: Assessing agreement on classification tasks: the kappa statistic. Comput Linguist. 1996, 22: 249-254. Carletta J: Assessing agreement on classification tasks: the kappa statistic. Comput Linguist. 1996, 22: 249-254.
23.
go back to reference Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics. 1977, 33: 159-174. 10.2307/2529310.CrossRefPubMed Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics. 1977, 33: 159-174. 10.2307/2529310.CrossRefPubMed
24.
go back to reference Beck AH, Knoblauch NW, Hefti MM, Kaplan J, Schnitt SJ, Culhane AC, Schroeder MS, Risch T, Quackenbush J, Haibe-Kains B: Significance analysis of prognostic signatures. PLoS Comput Biol. 2013, 9: e1002875-10.1371/journal.pcbi.1002875.CrossRefPubMedPubMedCentral Beck AH, Knoblauch NW, Hefti MM, Kaplan J, Schnitt SJ, Culhane AC, Schroeder MS, Risch T, Quackenbush J, Haibe-Kains B: Significance analysis of prognostic signatures. PLoS Comput Biol. 2013, 9: e1002875-10.1371/journal.pcbi.1002875.CrossRefPubMedPubMedCentral
25.
go back to reference Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B. 1995, 57: 289-300. Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B. 1995, 57: 289-300.
26.
go back to reference Colditz GA, Hankinson SE: The Nurses’ Health Study: lifestyle and health among women. Nat Rev Cancer. 2005, 5: 388-396. 10.1038/nrc1608.CrossRefPubMed Colditz GA, Hankinson SE: The Nurses’ Health Study: lifestyle and health among women. Nat Rev Cancer. 2005, 5: 388-396. 10.1038/nrc1608.CrossRefPubMed
27.
go back to reference Tamimi RM, Baer HJ, Marotti J, Galan M, Galaburda L, Fu Y, Deitz AC, Connolly JL, Schnitt SJ, Colditz GA, Collins LC: Comparison of molecular phenotypes of ductal carcinoma in situ and invasive breast cancer. Breast Cancer Res. 2008, 10: R67-10.1186/bcr2128.CrossRefPubMedPubMedCentral Tamimi RM, Baer HJ, Marotti J, Galan M, Galaburda L, Fu Y, Deitz AC, Connolly JL, Schnitt SJ, Colditz GA, Collins LC: Comparison of molecular phenotypes of ductal carcinoma in situ and invasive breast cancer. Breast Cancer Res. 2008, 10: R67-10.1186/bcr2128.CrossRefPubMedPubMedCentral
28.
go back to reference Venet D, Dumont JE, Detours V: Most random gene expression signatures are significantly associated with breast cancer outcome. PLoS Comput Biol. 2011, 7: e1002240-10.1371/journal.pcbi.1002240.CrossRefPubMedPubMedCentral Venet D, Dumont JE, Detours V: Most random gene expression signatures are significantly associated with breast cancer outcome. PLoS Comput Biol. 2011, 7: e1002240-10.1371/journal.pcbi.1002240.CrossRefPubMedPubMedCentral
29.
go back to reference Bartlett JM, Brookes CL, Robson T, van de Velde CJ, Billingham LJ, Campbell FM, Grant M, Hasenburg A, Hille ET, Kay C, Kieback DG, Putter H, Markopoulos C, Kranenbarg EM, Mallon EA, Dirix L, Seynaeve C, Rea D: Estrogen receptor and progesterone receptor as predictive biomarkers of response to endocrine therapy: a prospectively powered pathology study in the Tamoxifen and Exemestane Adjuvant Multinational trial. J Clin Oncol. 2011, 29: 1531-1538. 10.1200/JCO.2010.30.3677.CrossRefPubMedPubMedCentral Bartlett JM, Brookes CL, Robson T, van de Velde CJ, Billingham LJ, Campbell FM, Grant M, Hasenburg A, Hille ET, Kay C, Kieback DG, Putter H, Markopoulos C, Kranenbarg EM, Mallon EA, Dirix L, Seynaeve C, Rea D: Estrogen receptor and progesterone receptor as predictive biomarkers of response to endocrine therapy: a prospectively powered pathology study in the Tamoxifen and Exemestane Adjuvant Multinational trial. J Clin Oncol. 2011, 29: 1531-1538. 10.1200/JCO.2010.30.3677.CrossRefPubMedPubMedCentral
30.
go back to reference Mackey JR: Can quantifying hormone receptor levels guide the choice of adjuvant endocrine therapy for breast cancer?. J Clin Oncol. 2011, 29: 1504-1506. 10.1200/JCO.2010.34.3202.CrossRefPubMed Mackey JR: Can quantifying hormone receptor levels guide the choice of adjuvant endocrine therapy for breast cancer?. J Clin Oncol. 2011, 29: 1504-1506. 10.1200/JCO.2010.34.3202.CrossRefPubMed
31.
go back to reference Viale G, Regan MM, Maiorano E, Mastropasqua MG, Golouh R, Perin T, Brown RW, Kovacs A, Pillay K, Ohlschlegel C, Braye S, Grigolato P, Rusca T, Gelber RD, Castiglione-Gertsch M, Price KN, Goldhirsch A, Gusterson BA, Coates AS: Chemoendocrine compared with endocrine adjuvant therapies for node-negative breast cancer: predictive value of centrally reviewed expression of estrogen and progesterone receptors – International Breast Cancer Study Group. J Clin Oncol. 2008, 26: 1404-1410. 10.1200/JCO.2007.10.6393.CrossRefPubMed Viale G, Regan MM, Maiorano E, Mastropasqua MG, Golouh R, Perin T, Brown RW, Kovacs A, Pillay K, Ohlschlegel C, Braye S, Grigolato P, Rusca T, Gelber RD, Castiglione-Gertsch M, Price KN, Goldhirsch A, Gusterson BA, Coates AS: Chemoendocrine compared with endocrine adjuvant therapies for node-negative breast cancer: predictive value of centrally reviewed expression of estrogen and progesterone receptors – International Breast Cancer Study Group. J Clin Oncol. 2008, 26: 1404-1410. 10.1200/JCO.2007.10.6393.CrossRefPubMed
32.
go back to reference Sahoo D, Dill DL, Gentles AJ, Tibshirani R, Plevritis SK: Boolean implication networks derived from large scale, whole genome microarray datasets. Genome Biol. 2008, 9: R157-10.1186/gb-2008-9-10-r157.CrossRefPubMedPubMedCentral Sahoo D, Dill DL, Gentles AJ, Tibshirani R, Plevritis SK: Boolean implication networks derived from large scale, whole genome microarray datasets. Genome Biol. 2008, 9: R157-10.1186/gb-2008-9-10-r157.CrossRefPubMedPubMedCentral
Metadata
Title
Estrogen receptor negative/progesterone receptor positive breast cancer is not a reproducible subtype
Authors
Marco M Hefti
Rong Hu
Nicholas W Knoblauch
Laura C Collins
Benjamin Haibe-Kains
Rulla M Tamimi
Andrew H Beck
Publication date
01-08-2013
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue 4/2013
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/bcr3462

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