Skip to main content
Top
Published in: Breast Cancer Research and Treatment 1/2020

Open Access 01-01-2020 | Breast Cancer | Epidemiology

Research-based PAM50 signature and long-term breast cancer survival

Authors: Minya Pu, Karen Messer, Sherri R. Davies, Tammi L. Vickery, Emily Pittman, Barbara A. Parker, Matthew J. Ellis, Shirley W. Flatt, Catherine R. Marinac, Sandahl H. Nelson, Elaine R. Mardis, John P. Pierce, Loki Natarajan

Published in: Breast Cancer Research and Treatment | Issue 1/2020

Login to get access

Abstract

Purpose

Multi-gene signatures provide biological insight and risk stratification in breast cancer. Intrinsic molecular subtypes defined by mRNA expression of 50 genes (PAM50) are prognostic in hormone-receptor positive postmenopausal breast cancer. Yet, for 25–40% in the PAM50 intermediate risk group, long-term risk remains uncertain. Our study aimed to (i) test the long-term prognostic value of the PAM50 signature in pre- and post-menopausal breast cancer; (ii) investigate if the PAM50 model could be improved by addition of other mRNAs implicated in oncogenesis.

Methods

We used archived FFPE samples from 1723 breast cancer survivors; high quality reads were obtained on 1253 samples. Transcript expression was quantified using a custom codeset with probes for > 100 targets. Cox models assessed gene signatures for breast cancer relapse and survival.

Results

Over 15 + years of follow-up, PAM50 subtypes were (P < 0.01) associated with breast cancer outcomes after accounting for tumor stage, grade and age at diagnosis. Results did not differ by menopausal status at diagnosis. Women with Luminal B (versus Luminal A) subtype had a > 60% higher hazard. Addition of a 13-gene hypoxia signature improved prognostication with > 40% higher hazard in the highest vs lowest hypoxia tertiles.

Conclusions

PAM50 intrinsic subtypes were independently prognostic for long-term breast cancer survival, irrespective of menopausal status. Addition of hypoxia signatures improved risk prediction. If replicated, incorporating the 13-gene hypoxia signature into the existing PAM50 risk assessment tool, may refine risk stratification and further clarify treatment for breast cancer.
Appendix
Available only for authorised users
Literature
1.
go back to reference Buyse M, Loi S, van’t Veer L, Viale G, Delorenzi M, Glas AM, d’Assignies MS, Bergh J, Lidereau R, Ellis P, Harris A, Bogaerts J, Therasse P, Floore A, Amakrane M, Piette F, Rutgers E, Sotiriou C, Cardoso F, Piccart MJ, Consortium T (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. https://doi.org/10.1093/jnci/djj329 CrossRefPubMed Buyse M, Loi S, van’t Veer L, Viale G, Delorenzi M, Glas AM, d’Assignies MS, Bergh J, Lidereau R, Ellis P, Harris A, Bogaerts J, Therasse P, Floore A, Amakrane M, Piette F, Rutgers E, Sotiriou C, Cardoso F, Piccart MJ, Consortium T (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. https://​doi.​org/​10.​1093/​jnci/​djj329 CrossRefPubMed
3.
4.
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. https://doi.org/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. https://​doi.​org/​10.​1056/​NEJMoa041588 CrossRefPubMed
6.
go back to reference Tang G, Shak S, Paik S, Anderson S, Costantino J, Geyer CJ, Mamounas E, Wickerham D, Wolmark N (2011) Comparison of the prognostic and predictive utilities of the 21-gene Recurrence Score assay and Adjuvant! for women with node-negative, ER-positive breast cancer: results from NSABP B-14 and NSABP B-20. Breast Cancer Res Treat 127(1):133–142. https://doi.org/10.1007/s10549-010-1331-z CrossRefPubMedPubMedCentral Tang G, Shak S, Paik S, Anderson S, Costantino J, Geyer CJ, Mamounas E, Wickerham D, Wolmark N (2011) Comparison of the prognostic and predictive utilities of the 21-gene Recurrence Score assay and Adjuvant! for women with node-negative, ER-positive breast cancer: results from NSABP B-14 and NSABP B-20. Breast Cancer Res Treat 127(1):133–142. https://​doi.​org/​10.​1007/​s10549-010-1331-z CrossRefPubMedPubMedCentral
7.
go back to reference van’t Veer LJ, Dai HY, van de Vijver MJ, He YDD, Hart AAM, 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. https://doi.org/10.1038/415530a CrossRef van’t Veer LJ, Dai HY, van de Vijver MJ, He YDD, Hart AAM, 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. https://​doi.​org/​10.​1038/​415530a CrossRef
9.
go back to reference Ellis MJ, Suman VJ, Hoog J, Lin L, Snider J, Prat A, Parker JS, Luo JQ, DeSchryver K, Allred DC, Esserman LJ, Unzeitig GW, Margenthaler J, Babiera GV, Marcom PK, Guenther JM, Watson MA, Leitch M, Hunt K, Olson JA (2011) Randomized Phase II neoadjuvant comparison between letrozole, anastrozole, and exemestane for postmenopausal women with estrogen receptor-rich stage 2 to 3 breast cancer: clinical and biomarker outcomes and predictive value of the baseline PAM50-based intrinsic subtype-ACOSOG Z1031. J Clin Oncol 29(17):2342–2349. https://doi.org/10.1200/Jco.2010.31.6950 CrossRefPubMedPubMedCentral Ellis MJ, Suman VJ, Hoog J, Lin L, Snider J, Prat A, Parker JS, Luo JQ, DeSchryver K, Allred DC, Esserman LJ, Unzeitig GW, Margenthaler J, Babiera GV, Marcom PK, Guenther JM, Watson MA, Leitch M, Hunt K, Olson JA (2011) Randomized Phase II neoadjuvant comparison between letrozole, anastrozole, and exemestane for postmenopausal women with estrogen receptor-rich stage 2 to 3 breast cancer: clinical and biomarker outcomes and predictive value of the baseline PAM50-based intrinsic subtype-ACOSOG Z1031. J Clin Oncol 29(17):2342–2349. https://​doi.​org/​10.​1200/​Jco.​2010.​31.​6950 CrossRefPubMedPubMedCentral
11.
go back to reference Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, Zhu SX, Lonning PE, Borresen-Dale AL, Brown PO, Botstein D (2000) Molecular portraits of human breast tumours. Nature 406(6797):747–752. https://doi.org/10.1038/35021093 CrossRefPubMed Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, Zhu SX, Lonning PE, Borresen-Dale AL, Brown PO, Botstein D (2000) Molecular portraits of human breast tumours. Nature 406(6797):747–752. https://​doi.​org/​10.​1038/​35021093 CrossRefPubMed
12.
go back to reference Sorlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn M, Jeffrey SS, Thorsen T, Quist H, Matese JC, Brown PO, Botstein D, Lonning PE, Borresen-Dale AL (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A 98(19):10869–10874. https://doi.org/10.1073/pnas.191367098 CrossRefPubMedPubMedCentral Sorlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn M, Jeffrey SS, Thorsen T, Quist H, Matese JC, Brown PO, Botstein D, Lonning PE, Borresen-Dale AL (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A 98(19):10869–10874. https://​doi.​org/​10.​1073/​pnas.​191367098 CrossRefPubMedPubMedCentral
17.
go back to reference Wallden B, Storhoff J, Nielsen T, Dowidar N, Schaper C, Ferree S, Liu SZ, Leung S, Geiss G, Snider J, Vickery T, Davies SR, Mardis ER, Gnant M, Sestak I, Ellis MJ, Perou CM, Bernard PS, Parker JS (2015) Development and verification of the PAM50-based Prosigna breast cancer gene signature assay. BMC Med Genom. https://doi.org/10.1186/s12920-015-0129-6 CrossRef Wallden B, Storhoff J, Nielsen T, Dowidar N, Schaper C, Ferree S, Liu SZ, Leung S, Geiss G, Snider J, Vickery T, Davies SR, Mardis ER, Gnant M, Sestak I, Ellis MJ, Perou CM, Bernard PS, Parker JS (2015) Development and verification of the PAM50-based Prosigna breast cancer gene signature assay. BMC Med Genom. https://​doi.​org/​10.​1186/​s12920-015-0129-6 CrossRef
20.
go back to reference Tibshirani R (1997) The lasso method for variable selection in the Cox model. Stat Med 16(4):385–395CrossRefPubMed Tibshirani R (1997) The lasso method for variable selection in the Cox model. Stat Med 16(4):385–395CrossRefPubMed
23.
go back to reference Slamon D, Eiermann W, Robert N, Pienkowski T, Martin M, Press M, Mackey J, Glaspy J, Chan A, Pawlicki M, Pinter T, Valero V, Liu MC, Sauter G, von Minckwitz G, Visco F, Bee V, Buyse M, Bendahmane B, Tabah-Fisch I, Lindsay MA, Riva A, Crown J (2011) Adjuvant trastuzumab in HER2-positive breast cancer. N Engl J Med 365(14):1273–1283. https://doi.org/10.1056/NEJMoa0910383 CrossRefPubMedPubMedCentral Slamon D, Eiermann W, Robert N, Pienkowski T, Martin M, Press M, Mackey J, Glaspy J, Chan A, Pawlicki M, Pinter T, Valero V, Liu MC, Sauter G, von Minckwitz G, Visco F, Bee V, Buyse M, Bendahmane B, Tabah-Fisch I, Lindsay MA, Riva A, Crown J (2011) Adjuvant trastuzumab in HER2-positive breast cancer. N Engl J Med 365(14):1273–1283. https://​doi.​org/​10.​1056/​NEJMoa0910383 CrossRefPubMedPubMedCentral
28.
go back to reference Pierce JP, Natarajan L, Caan BJ, Parker BA, Greenberg ER, Flatt SW, Rock CL, Kealey S, Al-Delaimy WK, Bardwell WA, Carlson RW, Emond JA, Faerber S, Gold EB, Hajek RA, Hollenbach K, Jones LA, Karanja N, Madlensky L, Marshall J, Newman VA, Ritenbaugh C, Thomson CA, Wasserman L, Stefanick ML (2007) Influence of a diet very high in vegetables, fruit, and fiber and low in fat on prognosis following treatment for breast cancer—the Women’s Healthy Eating and Living (WHEL) Randomized Trial. J Am Med Assoc 298(3):289–298. https://doi.org/10.1001/jama298.3.289 CrossRef Pierce JP, Natarajan L, Caan BJ, Parker BA, Greenberg ER, Flatt SW, Rock CL, Kealey S, Al-Delaimy WK, Bardwell WA, Carlson RW, Emond JA, Faerber S, Gold EB, Hajek RA, Hollenbach K, Jones LA, Karanja N, Madlensky L, Marshall J, Newman VA, Ritenbaugh C, Thomson CA, Wasserman L, Stefanick ML (2007) Influence of a diet very high in vegetables, fruit, and fiber and low in fat on prognosis following treatment for breast cancer—the Women’s Healthy Eating and Living (WHEL) Randomized Trial. J Am Med Assoc 298(3):289–298. https://​doi.​org/​10.​1001/​jama298.​3.​289 CrossRef
31.
go back to reference Pierce JP, Faerber S, Wright FA, Rock CL, Newman V, Flatt SW, Kealey S, Jones VE, Caan BJ, Gold EB, Haan M, Hollenbach KA, Jones L, Marshall JR, Ritenbaugh C, Stefanick ML, Thomson C, Wasserman L, Natarajan L, Thomas RG, Gilpin EA (2002) A randomized trial of the effect of a plant-based dietary pattern on additional breast cancer events and survival: the Women’s Healthy Eating and Living (WHEL) Study. Control Clin Trials 23(6):728–756CrossRefPubMed Pierce JP, Faerber S, Wright FA, Rock CL, Newman V, Flatt SW, Kealey S, Jones VE, Caan BJ, Gold EB, Haan M, Hollenbach KA, Jones L, Marshall JR, Ritenbaugh C, Stefanick ML, Thomson C, Wasserman L, Natarajan L, Thomas RG, Gilpin EA (2002) A randomized trial of the effect of a plant-based dietary pattern on additional breast cancer events and survival: the Women’s Healthy Eating and Living (WHEL) Study. Control Clin Trials 23(6):728–756CrossRefPubMed
32.
go back to reference AJCC (2002) American Joint Committee on Cancer: manual for staging of cancer, 6th edn. Spring-Verlag, New York AJCC (2002) American Joint Committee on Cancer: manual for staging of cancer, 6th edn. Spring-Verlag, New York
34.
go back to reference Therneau TM, Grambsch PM (2000) modeling survival data: extending the Cox model. Springer-Verlag, New YorkCrossRef Therneau TM, Grambsch PM (2000) modeling survival data: extending the Cox model. Springer-Verlag, New YorkCrossRef
35.
go back to reference R DCT (2009) The R project for statistical computing (freeware statistics package R) R DCT (2009) The R project for statistical computing (freeware statistics package R)
36.
go back to reference Sestak I, Buus R, Cuzick J, Dudsky P, Kronenwett R, Ferree S, Sgroi D, Schnabel C, Baehner R, Mallon E, Dowsett M (2016) Comprehensive comparison of prognostic signatures for breast cancer recurrence in TransATAC. In: Paper presented at the San Antonio Breast Cancer Symposium, San Antonio, TX, Dec 6–10, 2016 Sestak I, Buus R, Cuzick J, Dudsky P, Kronenwett R, Ferree S, Sgroi D, Schnabel C, Baehner R, Mallon E, Dowsett M (2016) Comprehensive comparison of prognostic signatures for breast cancer recurrence in TransATAC. In: Paper presented at the San Antonio Breast Cancer Symposium, San Antonio, TX, Dec 6–10, 2016
Metadata
Title
Research-based PAM50 signature and long-term breast cancer survival
Authors
Minya Pu
Karen Messer
Sherri R. Davies
Tammi L. Vickery
Emily Pittman
Barbara A. Parker
Matthew J. Ellis
Shirley W. Flatt
Catherine R. Marinac
Sandahl H. Nelson
Elaine R. Mardis
John P. Pierce
Loki Natarajan
Publication date
01-01-2020
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 1/2020
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-019-05446-y

Other articles of this Issue 1/2020

Breast Cancer Research and Treatment 1/2020 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