Skip to main content
Top
Published in: Breast Cancer Research and Treatment 2/2015

01-04-2015 | Epidemiology

Integrated analysis of DNA methylation, immunohistochemistry and mRNA expression, data identifies a methylation expression index (MEI) robustly associated with survival of ER-positive breast cancer patients

Authors: Jonine D. Figueroa, Howard Yang, Montserrat Garcia-Closas, Sean Davis, Paul Meltzer, Jolanta Lissowska, Hisani N. Horne, Mark E. Sherman, Maxwell Lee

Published in: Breast Cancer Research and Treatment | Issue 2/2015

Login to get access

Abstract

Identification of prognostic gene expression signatures may enable improved decisions about management of breast cancer. To identify a prognostic signature for breast cancer, we performed DNA methylation profiling and identified methylation markers that were associated with expression of ER, PR, HER2, CK5/6, and EGFR proteins. Methylation markers that were correlated with corresponding mRNA expression levels were identified using 208 invasive tumors from a population-based case–control study conducted in Poland. Using this approach, we defined the methylation expression index (MEI) signature that was based on a weighted sum of mRNA levels of 57 genes. Classification of cases as low or high MEI scores was related to survival using Cox regression models. In the Polish study, women with ER-positive low MEI cancers had reduced survival at a median of 5.20 years of follow-up, HR = 2.85 95 % CI = 1.25–6.47. Low MEI was also related to decreased survival in four independent datasets totaling over 2500 ER-positive breast cancers. These results suggest that integrated analysis of tumor expression markers, DNA methylation, and mRNA data may be an important approach for identifying breast cancer prognostic signatures. Prospective assessment of MEI along with other prognostic signatures should be evaluated in future studies.
Appendix
Available only for authorised users
Literature
1.
go back to reference Laird PW, Jaenisch R (1994) DNA methylation and cancer. Hum Mol Genet 3:1487–1495PubMed Laird PW, Jaenisch R (1994) DNA methylation and cancer. Hum Mol Genet 3:1487–1495PubMed
2.
go back to reference Nielsen TO, Parker JS, Leung S, Voduc D, Ebbert M, Vickery T, Davies SR, Snider J, Stijleman IJ, Reed J, Cheang MC, Mardis ER, Perou CM, Bernard PS, Ellis MJ (2010) A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor-positive breast cancer. Clin Cancer Res 16(21):5222–5232. doi:10.1158/1078-0432.CCR-10-1282 CrossRefPubMedCentralPubMed Nielsen TO, Parker JS, Leung S, Voduc D, Ebbert M, Vickery T, Davies SR, Snider J, Stijleman IJ, Reed J, Cheang MC, Mardis ER, Perou CM, Bernard PS, Ellis MJ (2010) A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor-positive breast cancer. Clin Cancer Res 16(21):5222–5232. doi:10.​1158/​1078-0432.​CCR-10-1282 CrossRefPubMedCentralPubMed
3.
go back to reference Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M, Baehner FL, Walker MG, Watson D, Park T, Hiller W, Fisher ER, Wickerham DL, Bryant J, Wolmark N (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351(27):2817–2826. doi:10.1056/NEJMoa041588 CrossRefPubMed Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M, Baehner FL, Walker MG, Watson D, Park T, Hiller W, Fisher ER, Wickerham DL, Bryant J, Wolmark N (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351(27):2817–2826. doi:10.​1056/​NEJMoa041588 CrossRefPubMed
4.
go back to reference van ‘t Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Mao M, Peterse HL, van der Kooy K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R, Friend SH (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415(6871):530–536. doi:10.1038/415530a CrossRefPubMed van ‘t Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Mao M, Peterse HL, van der Kooy K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R, Friend SH (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415(6871):530–536. doi:10.​1038/​415530a CrossRefPubMed
7.
go back to reference Bediaga NG, Acha-Sagredo A, Guerra I, Viguri A, Albaina C, Ruiz Diaz I, Rezola R, Alberdi MJ, Dopazo J, Montaner D, de Renobales M, Fernandez AF, Field JK, Fraga MF, Liloglou T, de Pancorbo MM (2010) DNA methylation epigenotypes in breast cancer molecular subtypes. Breast Cancer Res 12(5):R77. doi:10.1186/bcr2721 CrossRefPubMedCentralPubMed Bediaga NG, Acha-Sagredo A, Guerra I, Viguri A, Albaina C, Ruiz Diaz I, Rezola R, Alberdi MJ, Dopazo J, Montaner D, de Renobales M, Fernandez AF, Field JK, Fraga MF, Liloglou T, de Pancorbo MM (2010) DNA methylation epigenotypes in breast cancer molecular subtypes. Breast Cancer Res 12(5):R77. doi:10.​1186/​bcr2721 CrossRefPubMedCentralPubMed
9.
go back to reference Dedeurwaerder S, Desmedt C, Calonne E (2011) Largest ever DNA methylation dataset for breast cancer completed. Expert Rev Mol Diagn 11(5):470PubMed Dedeurwaerder S, Desmedt C, Calonne E (2011) Largest ever DNA methylation dataset for breast cancer completed. Expert Rev Mol Diagn 11(5):470PubMed
10.
go back to reference Fackler MJ, Umbricht CB, Williams D, Argani P, Cruz LA, Merino VF, Teo WW, Zhang Z, Huang P, Visvananthan K, Marks J, Ethier S, Gray JW, Wolff AC, Cope LM, Sukumar S (2011) Genome-wide methylation analysis identifies genes specific to breast cancer hormone receptor status and risk of recurrence. Cancer Res 71(19):6195–6207. doi:10.1158/0008-5472.CAN-11-1630 CrossRefPubMedCentralPubMed Fackler MJ, Umbricht CB, Williams D, Argani P, Cruz LA, Merino VF, Teo WW, Zhang Z, Huang P, Visvananthan K, Marks J, Ethier S, Gray JW, Wolff AC, Cope LM, Sukumar S (2011) Genome-wide methylation analysis identifies genes specific to breast cancer hormone receptor status and risk of recurrence. Cancer Res 71(19):6195–6207. doi:10.​1158/​0008-5472.​CAN-11-1630 CrossRefPubMedCentralPubMed
11.
go back to reference Fang F, Turcan S, Rimner A, Kaufman A, Giri D, Morris LG, Shen R, Seshan V, Mo Q, Heguy A, Baylin SB, Ahuja N, Viale A, Massague J, Norton L, Vahdat LT, Moynahan ME, Chan TA (2011) Breast cancer methylomes establish an epigenomic foundation for metastasis. Sci Transl Med 3(75):75ra25. doi:10.1126/scitranslmed.3001875 CrossRefPubMedCentralPubMed Fang F, Turcan S, Rimner A, Kaufman A, Giri D, Morris LG, Shen R, Seshan V, Mo Q, Heguy A, Baylin SB, Ahuja N, Viale A, Massague J, Norton L, Vahdat LT, Moynahan ME, Chan TA (2011) Breast cancer methylomes establish an epigenomic foundation for metastasis. Sci Transl Med 3(75):75ra25. doi:10.​1126/​scitranslmed.​3001875 CrossRefPubMedCentralPubMed
12.
13.
go back to reference Hill VK, Ricketts C, Bieche I, Vacher S, Gentle D, Lewis C, Maher ER, Latif F (2011) Genome-wide DNA methylation profiling of CpG islands in breast cancer identifies novel genes associated with tumorigenicity. Cancer Res 71(8):2988–2999. doi:10.1158/0008-5472.CAN-10-4026 CrossRefPubMed Hill VK, Ricketts C, Bieche I, Vacher S, Gentle D, Lewis C, Maher ER, Latif F (2011) Genome-wide DNA methylation profiling of CpG islands in breast cancer identifies novel genes associated with tumorigenicity. Cancer Res 71(8):2988–2999. doi:10.​1158/​0008-5472.​CAN-10-4026 CrossRefPubMed
14.
go back to reference Holm K, Hegardt C, Staaf J, Vallon-Christersson J, Jonsson G, Olsson H, Borg A, Ringner M (2010) Molecular subtypes of breast cancer are associated with characteristic DNA methylation patterns. Breast Cancer Res 12(3):R36. doi:10.1186/bcr2590 CrossRefPubMedCentralPubMed Holm K, Hegardt C, Staaf J, Vallon-Christersson J, Jonsson G, Olsson H, Borg A, Ringner M (2010) Molecular subtypes of breast cancer are associated with characteristic DNA methylation patterns. Breast Cancer Res 12(3):R36. doi:10.​1186/​bcr2590 CrossRefPubMedCentralPubMed
15.
go back to reference Kamalakaran S, Varadan V, Giercksky Russnes HE, Levy D, Kendall J, Janevski A, Riggs M, Banerjee N, Synnestvedt M, Schlichting E, Karesen R, Shama Prasada K, Rotti H, Rao R, Rao L, Eric Tang MH, Satyamoorthy K, Lucito R, Wigler M, Dimitrova N, Naume B, Borresen-Dale AL, Hicks JB (2011) DNA methylation patterns in luminal breast cancers differ from non-luminal subtypes and can identify relapse risk independent of other clinical variables. Mol Oncol 5(1):77–92. doi:10.1016/j.molonc.2010.11.002 CrossRefPubMed Kamalakaran S, Varadan V, Giercksky Russnes HE, Levy D, Kendall J, Janevski A, Riggs M, Banerjee N, Synnestvedt M, Schlichting E, Karesen R, Shama Prasada K, Rotti H, Rao R, Rao L, Eric Tang MH, Satyamoorthy K, Lucito R, Wigler M, Dimitrova N, Naume B, Borresen-Dale AL, Hicks JB (2011) DNA methylation patterns in luminal breast cancers differ from non-luminal subtypes and can identify relapse risk independent of other clinical variables. Mol Oncol 5(1):77–92. doi:10.​1016/​j.​molonc.​2010.​11.​002 CrossRefPubMed
16.
go back to reference Li L, Lee KM, Han W, Choi JY, Lee JY, Kang GH, Park SK, Noh DY, Yoo KY, Kang D (2010) Estrogen and progesterone receptor status affect genome-wide DNA methylation profile in breast cancer. Hum Mol Genet 19(21):4273–4277. doi:10.1093/hmg/ddq351 CrossRefPubMed Li L, Lee KM, Han W, Choi JY, Lee JY, Kang GH, Park SK, Noh DY, Yoo KY, Kang D (2010) Estrogen and progesterone receptor status affect genome-wide DNA methylation profile in breast cancer. Hum Mol Genet 19(21):4273–4277. doi:10.​1093/​hmg/​ddq351 CrossRefPubMed
17.
go back to reference Ronneberg JA, Fleischer T, Solvang HK, Nordgard SH, Edvardsen H, Potapenko I, Nebdal D, Daviaud C, Gut I, Bukholm I, Naume B, Borresen-Dale AL, Tost J, Kristensen V (2011) Methylation profiling with a panel of cancer related genes: association with estrogen receptor, TP53 mutation status and expression subtypes in sporadic breast cancer. Mol Oncol 5(1):61–76. doi:10.1016/j.molonc.2010.11.004 CrossRefPubMed Ronneberg JA, Fleischer T, Solvang HK, Nordgard SH, Edvardsen H, Potapenko I, Nebdal D, Daviaud C, Gut I, Bukholm I, Naume B, Borresen-Dale AL, Tost J, Kristensen V (2011) Methylation profiling with a panel of cancer related genes: association with estrogen receptor, TP53 mutation status and expression subtypes in sporadic breast cancer. Mol Oncol 5(1):61–76. doi:10.​1016/​j.​molonc.​2010.​11.​004 CrossRefPubMed
20.
go back to reference Curtis C, Shah SP, Chin SF, Turashvili G, Rueda OM, Dunning MJ, Speed D, Lynch AG, Samarajiwa S, Yuan Y, Graf S, Ha G, Haffari G, Bashashati A, Russell R, McKinney S, Langerod A, Green A, Provenzano E, Wishart G, Pinder S, Watson P, Markowetz F, Murphy L, Ellis I, Purushotham A, Borresen-Dale AL, Brenton JD, Tavare S, Caldas C, Aparicio S (2012) The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature 486(7403):346–352. doi:10.1038/nature10983 PubMedCentralPubMed Curtis C, Shah SP, Chin SF, Turashvili G, Rueda OM, Dunning MJ, Speed D, Lynch AG, Samarajiwa S, Yuan Y, Graf S, Ha G, Haffari G, Bashashati A, Russell R, McKinney S, Langerod A, Green A, Provenzano E, Wishart G, Pinder S, Watson P, Markowetz F, Murphy L, Ellis I, Purushotham A, Borresen-Dale AL, Brenton JD, Tavare S, Caldas C, Aparicio S (2012) The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature 486(7403):346–352. doi:10.​1038/​nature10983 PubMedCentralPubMed
21.
go back to reference Kristensen VN, Lingjaerde OC, Russnes HG, Vollan HK, Frigessi A, Borresen-Dale AL (2014) Principles and methods of integrative genomic analyses in cancer. Nat Rev Cancer 14(5):299–313. doi:10.1038/nrc3721 CrossRefPubMed Kristensen VN, Lingjaerde OC, Russnes HG, Vollan HK, Frigessi A, Borresen-Dale AL (2014) Principles and methods of integrative genomic analyses in cancer. Nat Rev Cancer 14(5):299–313. doi:10.​1038/​nrc3721 CrossRefPubMed
22.
go back to reference Yang XR, Sherman ME, Rimm DL, Lissowska J, Brinton LA, Peplonska B, Hewitt SM, Anderson WF, Szeszenia-Dabrowska N, Bardin-Mikolajczak A, Zatonski W, Cartun R, Mandich D, Rymkiewicz G, Ligaj M, Lukaszek S, Kordek R, Garcia-Closas M (2007) Differences in risk factors for breast cancer molecular subtypes in a population-based study. Cancer Epidemiol Biomarkers Prev 16(3):439–443. doi:10.1158/1055-9965.EPI-06-0806 CrossRefPubMed Yang XR, Sherman ME, Rimm DL, Lissowska J, Brinton LA, Peplonska B, Hewitt SM, Anderson WF, Szeszenia-Dabrowska N, Bardin-Mikolajczak A, Zatonski W, Cartun R, Mandich D, Rymkiewicz G, Ligaj M, Lukaszek S, Kordek R, Garcia-Closas M (2007) Differences in risk factors for breast cancer molecular subtypes in a population-based study. Cancer Epidemiol Biomarkers Prev 16(3):439–443. doi:10.​1158/​1055-9965.​EPI-06-0806 CrossRefPubMed
23.
go back to reference Carey LA, Perou CM, Livasy CA, Dressler LG, Cowan D, Conway K, Karaca G, Troester MA, Tse CK, Edmiston S, Deming SL, Geradts J, Cheang MC, Nielsen TO, Moorman PG, Earp HS, Millikan RC (2006) Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA 295(21):2492–2502. doi:10.1001/jama.295.21.2492 CrossRefPubMed Carey LA, Perou CM, Livasy CA, Dressler LG, Cowan D, Conway K, Karaca G, Troester MA, Tse CK, Edmiston S, Deming SL, Geradts J, Cheang MC, Nielsen TO, Moorman PG, Earp HS, Millikan RC (2006) Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA 295(21):2492–2502. doi:10.​1001/​jama.​295.​21.​2492 CrossRefPubMed
24.
go back to reference Garcia-Closas M, Brinton LA, Lissowska J, Chatterjee N, Peplonska B, Anderson WF, Szeszenia-Dabrowska N, Bardin-Mikolajczak A, Zatonski W, Blair A, Kalaylioglu Z, Rymkiewicz G, Mazepa-Sikora D, Kordek R, Lukaszek S, Sherman ME (2006) Established breast cancer risk factors by clinically important tumour characteristics. Br J Cancer 95(1):123–129. doi:10.1038/sj.bjc.6603207 CrossRefPubMedCentralPubMed Garcia-Closas M, Brinton LA, Lissowska J, Chatterjee N, Peplonska B, Anderson WF, Szeszenia-Dabrowska N, Bardin-Mikolajczak A, Zatonski W, Blair A, Kalaylioglu Z, Rymkiewicz G, Mazepa-Sikora D, Kordek R, Lukaszek S, Sherman ME (2006) Established breast cancer risk factors by clinically important tumour characteristics. Br J Cancer 95(1):123–129. doi:10.​1038/​sj.​bjc.​6603207 CrossRefPubMedCentralPubMed
25.
go back to reference Sherman ME, Rimm DL, Yang XR, Chatterjee N, Brinton LA, Lissowska J, Peplonska B, Szeszenia-Dabrowska N, Zatonski W, Cartun R, Mandich D, Rymkiewicz G, Ligaj M, Lukaszek S, Kordek R, Kalaylioglu Z, Harigopal M, Charrette L, Falk RT, Richesson D, Anderson WF, Hewitt SM, Garcia-Closas M (2007) Variation in breast cancer hormone receptor and HER2 levels by etiologic factors: a population-based analysis. Int J Cancer 121(5):1079–1085. doi:10.1002/ijc.22812 CrossRefPubMed Sherman ME, Rimm DL, Yang XR, Chatterjee N, Brinton LA, Lissowska J, Peplonska B, Szeszenia-Dabrowska N, Zatonski W, Cartun R, Mandich D, Rymkiewicz G, Ligaj M, Lukaszek S, Kordek R, Kalaylioglu Z, Harigopal M, Charrette L, Falk RT, Richesson D, Anderson WF, Hewitt SM, Garcia-Closas M (2007) Variation in breast cancer hormone receptor and HER2 levels by etiologic factors: a population-based analysis. Int J Cancer 121(5):1079–1085. doi:10.​1002/​ijc.​22812 CrossRefPubMed
26.
go back to reference Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53:457–481CrossRef Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53:457–481CrossRef
27.
go back to reference Cox DR (1972) Regression models and life-tables (with discussion). J R Stat Soc Ser C Appl Stat Series B 34:187–220 Cox DR (1972) Regression models and life-tables (with discussion). J R Stat Soc Ser C Appl Stat Series B 34:187–220
28.
go back to reference van de Vijver MJ, He YD, van’t Veer LJ, Dai H, Hart AA, Voskuil DW, Schreiber GJ, Peterse JL, Roberts C, Marton MJ, Parrish M, Atsma D, Witteveen A, Glas A, Delahaye L, van der Velde T, Bartelink H, Rodenhuis S, Rutgers ET, Friend SH, Bernards R (2002) A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 347(25):1999–2009. doi:10.1056/NEJMoa021967 CrossRefPubMed van de Vijver MJ, He YD, van’t Veer LJ, Dai H, Hart AA, Voskuil DW, Schreiber GJ, Peterse JL, Roberts C, Marton MJ, Parrish M, Atsma D, Witteveen A, Glas A, Delahaye L, van der Velde T, Bartelink H, Rodenhuis S, Rutgers ET, Friend SH, Bernards R (2002) A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 347(25):1999–2009. doi:10.​1056/​NEJMoa021967 CrossRefPubMed
29.
go back to reference Loi S, Haibe-Kains B, Desmedt C, Lallemand F, Tutt AM, Gillet C, Ellis P, Harris A, Bergh J, Foekens JA, Klijn JG, Larsimont D, Buyse M, Bontempi G, Delorenzi M, Piccart MJ, Sotiriou C (2007) Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade. J Clin Oncol 25(10):1239–1246. doi:10.1200/JCO.2006.07.1522 CrossRefPubMed Loi S, Haibe-Kains B, Desmedt C, Lallemand F, Tutt AM, Gillet C, Ellis P, Harris A, Bergh J, Foekens JA, Klijn JG, Larsimont D, Buyse M, Bontempi G, Delorenzi M, Piccart MJ, Sotiriou C (2007) Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade. J Clin Oncol 25(10):1239–1246. doi:10.​1200/​JCO.​2006.​07.​1522 CrossRefPubMed
31.
go back to reference Gianni L, Zambetti M, Clark K, Baker J, Cronin M, Wu J, Mariani G, Rodriguez J, Carcangiu M, Watson D, Valagussa P, Rouzier R, Symmans WF, Ross JS, Hortobagyi GN, Pusztai L, Shak S (2005) Gene expression profiles in paraffin-embedded core biopsy tissue predict response to chemotherapy in women with locally advanced breast cancer. J Clin Oncol 23(29):7265–7277. doi:10.1200/JCO.2005.02.0818 CrossRefPubMed Gianni L, Zambetti M, Clark K, Baker J, Cronin M, Wu J, Mariani G, Rodriguez J, Carcangiu M, Watson D, Valagussa P, Rouzier R, Symmans WF, Ross JS, Hortobagyi GN, Pusztai L, Shak S (2005) Gene expression profiles in paraffin-embedded core biopsy tissue predict response to chemotherapy in women with locally advanced breast cancer. J Clin Oncol 23(29):7265–7277. doi:10.​1200/​JCO.​2005.​02.​0818 CrossRefPubMed
32.
go back to reference Yan PS, Venkataramu C, Ibrahim A, Liu JC, Shen RZ, Diaz NM, Centeno B, Weber F, Leu YW, Shapiro CL, Eng C, Yeatman TJ, Huang TH (2006) Mapping geographic zones of cancer risk with epigenetic biomarkers in normal breast tissue. Clin Cancer Res 12(22):6626–6636. doi:10.1158/1078-0432.CCR-06-0467 CrossRefPubMed Yan PS, Venkataramu C, Ibrahim A, Liu JC, Shen RZ, Diaz NM, Centeno B, Weber F, Leu YW, Shapiro CL, Eng C, Yeatman TJ, Huang TH (2006) Mapping geographic zones of cancer risk with epigenetic biomarkers in normal breast tissue. Clin Cancer Res 12(22):6626–6636. doi:10.​1158/​1078-0432.​CCR-06-0467 CrossRefPubMed
34.
go back to reference Roll JD, Rivenbark AG, Sandhu R, Parker JS, Jones WD, Carey LA, Livasy CA, Coleman WB (2013) Dysregulation of the epigenome in triple-negative breast cancers: basal-like and claudin-low breast cancers express aberrant DNA hypermethylation. Exp Mol Pathol 95(3):276–287. doi:10.1016/j.yexmp.2013.09.001 CrossRefPubMed Roll JD, Rivenbark AG, Sandhu R, Parker JS, Jones WD, Carey LA, Livasy CA, Coleman WB (2013) Dysregulation of the epigenome in triple-negative breast cancers: basal-like and claudin-low breast cancers express aberrant DNA hypermethylation. Exp Mol Pathol 95(3):276–287. doi:10.​1016/​j.​yexmp.​2013.​09.​001 CrossRefPubMed
35.
go back to reference Stefansson OA, Jonasson JG, Olafsdottir K, Hilmarsdottir H, Olafsdottir G, Esteller M, Johannsson OT, Eyfjord JE (2011) CpG island hypermethylation of BRCA1 and loss of pRb as co-occurring events in basal/triple-negative breast cancer. Epigenetics 6(5):638–649. doi:10.4161/epi.6.5.15667 CrossRefPubMedCentralPubMed Stefansson OA, Jonasson JG, Olafsdottir K, Hilmarsdottir H, Olafsdottir G, Esteller M, Johannsson OT, Eyfjord JE (2011) CpG island hypermethylation of BRCA1 and loss of pRb as co-occurring events in basal/triple-negative breast cancer. Epigenetics 6(5):638–649. doi:10.​4161/​epi.​6.​5.​15667 CrossRefPubMedCentralPubMed
36.
go back to reference Matuschek C, Bolke E, Lammering G, Gerber PA, Peiper M, Budach W, Taskin H, Prisack HB, Schieren G, Orth K, Bojar H (2010) Methylated APC and GSTP1 genes in serum DNA correlate with the presence of circulating blood tumor cells and are associated with a more aggressive and advanced breast cancer disease. Eur J Med Res 15:277–286PubMedCentralPubMed Matuschek C, Bolke E, Lammering G, Gerber PA, Peiper M, Budach W, Taskin H, Prisack HB, Schieren G, Orth K, Bojar H (2010) Methylated APC and GSTP1 genes in serum DNA correlate with the presence of circulating blood tumor cells and are associated with a more aggressive and advanced breast cancer disease. Eur J Med Res 15:277–286PubMedCentralPubMed
37.
38.
go back to reference Zrihan-Licht S, Weiss M, Keydar I, Wreschner DH (1995) DNA methylation status of the MUC1 gene coding for a breast-cancer-associated protein. Int J Cancer 62(3):245–251CrossRefPubMed Zrihan-Licht S, Weiss M, Keydar I, Wreschner DH (1995) DNA methylation status of the MUC1 gene coding for a breast-cancer-associated protein. Int J Cancer 62(3):245–251CrossRefPubMed
39.
go back to reference Yu Z, Wang L, Wang C, Ju X, Wang M, Chen K, Loro E, Li Z, Zhang Y, Wu K, Casimiro MC, Gormley M, Ertel A, Fortina P, Chen Y, Tozeren A, Liu Z, Pestell RG (2013) Cyclin D1 induction of Dicer governs microRNA processing and expression in breast cancer. Nat Commun 4:2812. doi:10.1038/ncomms3812 PubMed Yu Z, Wang L, Wang C, Ju X, Wang M, Chen K, Loro E, Li Z, Zhang Y, Wu K, Casimiro MC, Gormley M, Ertel A, Fortina P, Chen Y, Tozeren A, Liu Z, Pestell RG (2013) Cyclin D1 induction of Dicer governs microRNA processing and expression in breast cancer. Nat Commun 4:2812. doi:10.​1038/​ncomms3812 PubMed
41.
42.
go back to reference Sizemore ST, Sizemore GM, Booth CN, Thompson CL, Silverman P, Bebek G, Abdul-Karim FW, Avril S, Keri RA (2014) Hypomethylation of the MMP7 promoter and increased expression of MMP7 distinguishes the basal-like breast cancer subtype from other triple-negative tumors. Breast Cancer Res Treat 146(1):25–40. doi:10.1007/s10549-014-2989-4 CrossRefPubMed Sizemore ST, Sizemore GM, Booth CN, Thompson CL, Silverman P, Bebek G, Abdul-Karim FW, Avril S, Keri RA (2014) Hypomethylation of the MMP7 promoter and increased expression of MMP7 distinguishes the basal-like breast cancer subtype from other triple-negative tumors. Breast Cancer Res Treat 146(1):25–40. doi:10.​1007/​s10549-014-2989-4 CrossRefPubMed
43.
go back to reference Chen L, Zhou XG, Zhou XY, Zhu C, Ji CB, Shi CM, Qiu J, Guo XR (2013) Overexpression of C10orf116 promotes proliferation, inhibits apoptosis and enhances glucose transport in 3T3-L1 adipocytes. Mol Med Rep 7(5):1477–1481. doi:10.3892/mmr.2013.1351 PubMed Chen L, Zhou XG, Zhou XY, Zhu C, Ji CB, Shi CM, Qiu J, Guo XR (2013) Overexpression of C10orf116 promotes proliferation, inhibits apoptosis and enhances glucose transport in 3T3-L1 adipocytes. Mol Med Rep 7(5):1477–1481. doi:10.​3892/​mmr.​2013.​1351 PubMed
44.
go back to reference Simpson NE, Lambert WM, Watkins R, Giashuddin S, Huang SJ, Oxelmark E, Arju R, Hochman T, Goldberg JD, Schneider RJ, Reiz LF, Soares FA, Logan SK, Garabedian MJ (2010) High levels of Hsp90 cochaperone p23 promote tumor progression and poor prognosis in breast cancer by increasing lymph node metastases and drug resistance. Cancer Res 70(21):8446–8456. doi:10.1158/0008-5472.CAN-10-1590 CrossRefPubMedCentralPubMed Simpson NE, Lambert WM, Watkins R, Giashuddin S, Huang SJ, Oxelmark E, Arju R, Hochman T, Goldberg JD, Schneider RJ, Reiz LF, Soares FA, Logan SK, Garabedian MJ (2010) High levels of Hsp90 cochaperone p23 promote tumor progression and poor prognosis in breast cancer by increasing lymph node metastases and drug resistance. Cancer Res 70(21):8446–8456. doi:10.​1158/​0008-5472.​CAN-10-1590 CrossRefPubMedCentralPubMed
Metadata
Title
Integrated analysis of DNA methylation, immunohistochemistry and mRNA expression, data identifies a methylation expression index (MEI) robustly associated with survival of ER-positive breast cancer patients
Authors
Jonine D. Figueroa
Howard Yang
Montserrat Garcia-Closas
Sean Davis
Paul Meltzer
Jolanta Lissowska
Hisani N. Horne
Mark E. Sherman
Maxwell Lee
Publication date
01-04-2015
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 2/2015
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-015-3314-6

Other articles of this Issue 2/2015

Breast Cancer Research and Treatment 2/2015 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine