Skip to main content
Erschienen in: Breast Cancer Research and Treatment 2/2011

01.09.2011 | Brief Report

Biologic markers determine both the risk and the timing of recurrence in breast cancer

verfasst von: Laura J. Esserman, Dan H. Moore, Pamela J. Tsing, Philip W. Chu, Christina Yau, Elissa Ozanne, Robert E. Chung, Vickram J. Tandon, John W. Park, Frederick L. Baehner, Stig Kreps, Andrew N. J. Tutt, Cheryl E. Gillett, Christopher C. Benz

Erschienen in: Breast Cancer Research and Treatment | Ausgabe 2/2011

Einloggen, um Zugang zu erhalten

Abstract

Breast cancer has a long natural history. Established and emerging biologic markers address overall risk but not necessarily timing of recurrence. 346 adjuvant naïve breast cancer cases from Guy’s Hospital with 23 years minimum follow-up and archival blocks were recut and reassessed for hormone-receptors (HR), HER2-receptor and grade. Disease-specific survival (DSS) was analyzed by recursive partitioning. To validate insights from this analysis, gene-signatures (proliferative and HR-negative) were evaluated for their ability to predict early versus late metastatic risk in 683 node-negative, adjuvant naïve breast cancers annotated with expression microarray data. Risk partitioning showed that adjuvant naïve node-negative outcome risk was primarily partitioned by tumor receptor status and grade but not tumor size. HR-positive and HER2-negative (HRpos) risk was partitioned by tumor grade; low grade cases have very low early risk but a 20% fall-off in DSS 10 or more years after diagnosis. Higher grade HRpos cases have risk over >20 years. Triple-negative (Tneg) and HER2-positive (HER2pos) cases DSS events occurred primarily within the first 5 years. Among node-positive cases, only low grade conferred late risk, suggesting that proliferative gene signatures that identify proliferation would be important for predicting early but not late recurrence. Using pooled data from four publicly available data sets for node-negative tumors annotated with gene expression and outcome data, we evaluated four prognostic gene signatures: two proliferation-based and two immune function-based. Tumor proliferative capacity predicted early but not late metastatic risk for HRpos cases. The immune function or HRneg specific signatures predicted only early metastatic risk in Tneg and HER2pos cases. Breast cancer prognostic signatures need to inform both risk and timing of metastatic events and may best be applied within subsets. Current signatures predict for outcome risk within 5 years of diagnosis. Predictors of late risk for HR positive disease are needed.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Sorlie T, Perou CM, Tibshirani R et al (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA 98(19):10869–10874 Sep 11PubMedCrossRef Sorlie T, Perou CM, Tibshirani R et al (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA 98(19):10869–10874 Sep 11PubMedCrossRef
2.
Zurück zum Zitat van‘t Veer LJ, Dai H, van de Vijver MJ et al (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415(6871):530–536 Jan 31CrossRef van‘t Veer LJ, Dai H, van de Vijver MJ et al (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415(6871):530–536 Jan 31CrossRef
3.
Zurück zum Zitat Hu Z, Fan C, Oh DS et al (2006) The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genomics 7:96PubMedCrossRef Hu Z, Fan C, Oh DS et al (2006) The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genomics 7:96PubMedCrossRef
4.
Zurück zum Zitat Ross JS, Hatzis C, Symmans WF, Pusztai L, Hortobagyi GN (2008) Commercialized multigene predictors of clinical outcome for breast cancer. Oncologist 13(5):477–493PubMedCrossRef Ross JS, Hatzis C, Symmans WF, Pusztai L, Hortobagyi GN (2008) Commercialized multigene predictors of clinical outcome for breast cancer. Oncologist 13(5):477–493PubMedCrossRef
5.
Zurück zum Zitat Pusztai L (2009) Gene expression profiling of breast cancer. Breast Cancer Res 11(Suppl 3):S11PubMedCrossRef Pusztai L (2009) Gene expression profiling of breast cancer. Breast Cancer Res 11(Suppl 3):S11PubMedCrossRef
6.
Zurück zum Zitat Tutt A, Wang A, Rowland C et al (2008) Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature. BMC Cancer 8:339PubMedCrossRef Tutt A, Wang A, Rowland C et al (2008) Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature. BMC Cancer 8:339PubMedCrossRef
7.
Zurück zum Zitat Wang Y, Klijn JG, Zhang Y et al (2005) Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet 365(9460):671–679 Feb 19–25PubMed Wang Y, Klijn JG, Zhang Y et al (2005) Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet 365(9460):671–679 Feb 19–25PubMed
8.
Zurück zum Zitat Chang HY, Nuyten DS, Sneddon JB et al (2005) Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. Proc Natl Acad Sci USA 102(10):3738–3743 Mar 8PubMedCrossRef Chang HY, Nuyten DS, Sneddon JB et al (2005) Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. Proc Natl Acad Sci USA 102(10):3738–3743 Mar 8PubMedCrossRef
9.
Zurück zum Zitat Paik S, Shak S, Tang G et al (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351(27):2817–2826 Dec 30PubMedCrossRef Paik S, Shak S, Tang G et al (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351(27):2817–2826 Dec 30PubMedCrossRef
10.
Zurück zum Zitat Miller LD, Smeds J, George J et al (2005) An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. Proc Natl Acad Sci USA 102(38):13550–13555 Sep 20PubMedCrossRef Miller LD, Smeds J, George J et al (2005) An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. Proc Natl Acad Sci USA 102(38):13550–13555 Sep 20PubMedCrossRef
11.
Zurück zum Zitat Sotiriou C, Wirapati P, Loi S 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):262–272 Feb 15PubMedCrossRef Sotiriou C, Wirapati P, Loi S 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):262–272 Feb 15PubMedCrossRef
12.
Zurück zum Zitat Wirapati P, Sotiriou C, Kunkel S et al (2008) Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures. Breast Cancer Res 10(4):R65PubMedCrossRef Wirapati P, Sotiriou C, Kunkel S et al (2008) Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures. Breast Cancer Res 10(4):R65PubMedCrossRef
13.
Zurück zum Zitat Desmedt C, Haibe-Kains B, Wirapati P et al (2008) Biological processes associated with breast cancer clinical outcome depend on the molecular subtypes. Clin Cancer Res 14(16):5158–5165 Aug 15PubMedCrossRef Desmedt C, Haibe-Kains B, Wirapati P et al (2008) Biological processes associated with breast cancer clinical outcome depend on the molecular subtypes. Clin Cancer Res 14(16):5158–5165 Aug 15PubMedCrossRef
14.
Zurück zum Zitat Lobb EA, Butow PN, Kenny DT, Tattersall MH (1999) Communicating prognosis in early breast cancer: do women understand the language used? Med J Aust 171(6):290–294 Sep 20PubMed Lobb EA, Butow PN, Kenny DT, Tattersall MH (1999) Communicating prognosis in early breast cancer: do women understand the language used? Med J Aust 171(6):290–294 Sep 20PubMed
15.
Zurück zum Zitat Lobb EA, Kenny DT, Butow PN, Tattersall MH (2001) Women’s preferences for discussion of prognosis in early breast cancer. Health Expect 4(1):48–57PubMedCrossRef Lobb EA, Kenny DT, Butow PN, Tattersall MH (2001) Women’s preferences for discussion of prognosis in early breast cancer. Health Expect 4(1):48–57PubMedCrossRef
16.
Zurück zum Zitat Pichon MF, Broet P, Magdelenat H et al (1996) Prognostic value of steroid receptors after long-term follow-up of 2257 operable breast cancers. Br J Cancer 73(12):1545–1551PubMedCrossRef Pichon MF, Broet P, Magdelenat H et al (1996) Prognostic value of steroid receptors after long-term follow-up of 2257 operable breast cancers. Br J Cancer 73(12):1545–1551PubMedCrossRef
17.
Zurück zum Zitat Harvey JM, Clark GM, Osborne CK, Allred DC (1999) Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer. J Clin Oncol 17(5):1474–1481PubMed Harvey JM, Clark GM, Osborne CK, Allred DC (1999) Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer. J Clin Oncol 17(5):1474–1481PubMed
18.
Zurück zum Zitat Elston CW, Ellis IO (1991) Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 19(5):403–410PubMedCrossRef Elston CW, Ellis IO (1991) Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 19(5):403–410PubMedCrossRef
19.
Zurück zum Zitat Atkinson EJ, Therneau TM (2000) An introduction to recursive partitioning using the RPART routines Atkinson EJ, Therneau TM (2000) An introduction to recursive partitioning using the RPART routines
20.
Zurück zum Zitat Breiman L, Friedman J, Olshen R, Stone C (1984) Classification and regression trees. Wadsworth International Group, Belmont, CA Breiman L, Friedman J, Olshen R, Stone C (1984) Classification and regression trees. Wadsworth International Group, Belmont, CA
21.
Zurück zum Zitat Minn AJ, Gupta GP, Siegel PM et al (2005) Genes that mediate breast cancer metastasis to lung. Nature 436(7050):518–524 Jul 28PubMedCrossRef Minn AJ, Gupta GP, Siegel PM et al (2005) Genes that mediate breast cancer metastasis to lung. Nature 436(7050):518–524 Jul 28PubMedCrossRef
22.
Zurück zum Zitat Desmedt C, Piette F, Loi S et al (2007) Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series. Clin Cancer Res 13(11):3207–3214 Jun 1PubMedCrossRef Desmedt C, Piette F, Loi S et al (2007) Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series. Clin Cancer Res 13(11):3207–3214 Jun 1PubMedCrossRef
23.
Zurück zum Zitat Perou CM, Sorlie T, Eisen MB et al (2000) Molecular portraits of human breast tumours. Nature 406(6797):747–752 Aug 17PubMedCrossRef Perou CM, Sorlie T, Eisen MB et al (2000) Molecular portraits of human breast tumours. Nature 406(6797):747–752 Aug 17PubMedCrossRef
24.
Zurück zum Zitat Teschendorff AE, Caldas C (2008) A robust classifier of high predictive value to identify good prognosis patients in ER-negative breast cancer. Breast Cancer Res 10(4):R73PubMedCrossRef Teschendorff AE, Caldas C (2008) A robust classifier of high predictive value to identify good prognosis patients in ER-negative breast cancer. Breast Cancer Res 10(4):R73PubMedCrossRef
25.
Zurück zum Zitat Yau C, Esserman L, Moore DH, Waldman F, Sninsky J, Benz CC (2010) A multigene predictor of metastatic outcome in early stage hormone receptor-negative and triple-negative breast cancer. Breast Cancer Res 12(5):R85 Oct 14PubMedCrossRef Yau C, Esserman L, Moore DH, Waldman F, Sninsky J, Benz CC (2010) A multigene predictor of metastatic outcome in early stage hormone receptor-negative and triple-negative breast cancer. Breast Cancer Res 12(5):R85 Oct 14PubMedCrossRef
26.
Zurück zum Zitat Reyal F, van Vliet MH, Armstrong NJ et al (2008) A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the proliferation, immune response and RNA splicing modules in breast cancer. Breast Cancer Res 10(6):R93PubMedCrossRef Reyal F, van Vliet MH, Armstrong NJ et al (2008) A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the proliferation, immune response and RNA splicing modules in breast cancer. Breast Cancer Res 10(6):R93PubMedCrossRef
27.
Zurück zum Zitat Pintilie M (2007) Analysing and interpreting competing risk data. Stat Med 26(6):1360–1367 Mar 15PubMedCrossRef Pintilie M (2007) Analysing and interpreting competing risk data. Stat Med 26(6):1360–1367 Mar 15PubMedCrossRef
28.
Zurück zum Zitat Cheang MC, Voduc D, Bajdik C et al (2008) Basal-like breast cancer defined by five biomarkers has superior prognostic value than triple-negative phenotype. Clin Cancer Res 14(5):1368–1376 Mar 1PubMedCrossRef Cheang MC, Voduc D, Bajdik C et al (2008) Basal-like breast cancer defined by five biomarkers has superior prognostic value than triple-negative phenotype. Clin Cancer Res 14(5):1368–1376 Mar 1PubMedCrossRef
29.
Zurück zum Zitat Prat A, Parker JS, Karginova O et al (2010) Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer. Breast Cancer Res 12(5):R68 Sep 2PubMedCrossRef Prat A, Parker JS, Karginova O et al (2010) Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer. Breast Cancer Res 12(5):R68 Sep 2PubMedCrossRef
30.
Zurück zum Zitat Hobday TJ, Perez EA (2005) Molecularly targeted therapies for breast cancer. Cancer Control 12(2):73–81PubMed Hobday TJ, Perez EA (2005) Molecularly targeted therapies for breast cancer. Cancer Control 12(2):73–81PubMed
31.
Zurück zum Zitat O’Shaughnessy J, Osborne C, Pippen JE et al (2011) Iniparib plus chemotherapy in metastatic triple-negative breast cancer. N Engl J Med 364(3):205–214 Jan 20PubMedCrossRef O’Shaughnessy J, Osborne C, Pippen JE et al (2011) Iniparib plus chemotherapy in metastatic triple-negative breast cancer. N Engl J Med 364(3):205–214 Jan 20PubMedCrossRef
32.
Zurück zum Zitat Saphner T, Tormey DC, Gray R (1996) Annual hazard rates of recurrence for breast cancer after primary therapy. J Clin Oncol 14(10):2738–2746PubMed Saphner T, Tormey DC, Gray R (1996) Annual hazard rates of recurrence for breast cancer after primary therapy. J Clin Oncol 14(10):2738–2746PubMed
33.
Zurück zum Zitat EBCTCG (2005) Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. Lancet 365(9472):1687–1717 May 14–20CrossRef EBCTCG (2005) Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. Lancet 365(9472):1687–1717 May 14–20CrossRef
34.
Zurück zum Zitat Goss PE (2007) Letrozole in the extended adjuvant setting: MA.17. Breast Cancer Res Treat 105(Suppl 1):45–53PubMedCrossRef Goss PE (2007) Letrozole in the extended adjuvant setting: MA.17. Breast Cancer Res Treat 105(Suppl 1):45–53PubMedCrossRef
35.
Zurück zum Zitat Goss PE, Ingle JN, Martino S et al (2003) A randomized trial of letrozole in postmenopausal women after five years of tamoxifen therapy for early-stage breast cancer. N Engl J Med 349(19):1793–1802 Nov 6PubMedCrossRef Goss PE, Ingle JN, Martino S et al (2003) A randomized trial of letrozole in postmenopausal women after five years of tamoxifen therapy for early-stage breast cancer. N Engl J Med 349(19):1793–1802 Nov 6PubMedCrossRef
36.
Zurück zum Zitat Wolff AC, Hammond ME, Schwartz JN 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. Arch Pathol Lab Med 131(1):18–43PubMed Wolff AC, Hammond ME, Schwartz JN 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. Arch Pathol Lab Med 131(1):18–43PubMed
37.
Zurück zum Zitat Buyse M, Loi S, van’t Veer L et al (2006) Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst 98(17):1183–1192 Sep 6PubMedCrossRef Buyse M, Loi S, van’t Veer L et al (2006) Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst 98(17):1183–1192 Sep 6PubMedCrossRef
38.
Zurück zum Zitat Olivotto IA, Bajdik CD, Ravdin PM et al (2005) Population-based validation of the prognostic model ADJUVANT! for early breast cancer. J Clin Oncol 23(12):2716–2725 Apr 20PubMedCrossRef Olivotto IA, Bajdik CD, Ravdin PM et al (2005) Population-based validation of the prognostic model ADJUVANT! for early breast cancer. J Clin Oncol 23(12):2716–2725 Apr 20PubMedCrossRef
39.
Zurück zum Zitat Mrozkowiak A, Olszewski WP, Piascik A, Olszewski WT (2004) HER2 status in breast cancer determined by IHC and FISH: comparison of the results. Pol J Pathol 55(4):165–171PubMed Mrozkowiak A, Olszewski WP, Piascik A, Olszewski WT (2004) HER2 status in breast cancer determined by IHC and FISH: comparison of the results. Pol J Pathol 55(4):165–171PubMed
Metadaten
Titel
Biologic markers determine both the risk and the timing of recurrence in breast cancer
verfasst von
Laura J. Esserman
Dan H. Moore
Pamela J. Tsing
Philip W. Chu
Christina Yau
Elissa Ozanne
Robert E. Chung
Vickram J. Tandon
John W. Park
Frederick L. Baehner
Stig Kreps
Andrew N. J. Tutt
Cheryl E. Gillett
Christopher C. Benz
Publikationsdatum
01.09.2011
Verlag
Springer US
Erschienen in
Breast Cancer Research and Treatment / Ausgabe 2/2011
Print ISSN: 0167-6806
Elektronische ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-011-1564-5

Weitere Artikel der Ausgabe 2/2011

Breast Cancer Research and Treatment 2/2011 Zur Ausgabe

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.