Literature DB >> 24253504

An unmet need: tailoring extended adjuvant endocrine therapy.

G Bianchini1, L Gianni.   

Abstract

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Year:  2013        PMID: 24253504      PMCID: PMC3859956          DOI: 10.1038/bjc.2013.707

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


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Should every woman with a hormone-receptor-positive breast cancer receive endocrine adjuvant therapy for ⩾10 years? The question is becoming very relevant in the light of the recently reported results of two large randomised trials demonstrating that 10 years of adjuvant tamoxifen produced a small but significant reduction of recurrences and deaths compared with the conventional duration of 5 years only (Davies ; Gray ). The results are in agreement with the well-characterised feature of hormone-receptor-positive tumours that carry long lasting risk of relapse persisting for more than a decade (Early Breast Cancer Trialists' Collaborative G, 2011; Dowsett ). They also fit very well with the findings that extended endocrine treatment with aromatase inhibitors after 5 years of tamoxifen led to a significant reduction of risk of relapse (more than 40%) and death (Jakesz ; Mamounas ; Jin ). However, no matter how large, the benefit of extended endocrine treatment is restricted to a fraction of the patients' population and must be weighted against the side effects of such prolonged chronic therapy (Muss ; Amir ; Davies ). The identification of patients who will benefit from extended endocrine treatment is therefore very relevant to tailor the prescription of tamoxifen or aromatase inhibitors beyond 5 years and to avoid it in patients who will not derive additional benefit. In their recent paper, Dubsky explored the prognostic value of the EndoPredict (EP) score for early (0–5 years) and late (>5) distant recurrences in 1702 postmenopausal women with ER+/HER2breast cancer treated with adjuvant endocrine treatment (tamoxifen for 5 years or tamoxifen for 2 years followed by anastrozole for 3 years).Their findings may be relevant to the need of tailoring extended endocrine therapy. EP is one of several multigene assays (i.e., Recurrence Score, 70-gene signature, PAM50, Breast Cancer Index) developed to identify among patients with estrogen receptor-positive, HER2-negative tumours treated with endocrine therapy those carrying a risk of relapse low enough to avoid chemotherapy (Paik ; Buyse ; Parker ; Filipits ; Jerevall ). Because the purpose of these signatures was to define the overall risk of recurrence at 10 years, until recently their potential time-varying prognostic value (i.e., the different prognostic value over time) has only occasionally been reported (Albain ; Nielsen ). In their work, Dubsky analysed the time-varying value of EP in the same series of cases that they had already used to validate the assay (Filipits ). They therefore report a secondary and unplanned analysis. In patients treated with 5 years of adjuvant tamoxifen, the high EP group had a higher risk of early (HR=2.73, P<0.001) as well as late relapse (HR=2.87, P=0.013). The EP score retained significance in multivariate analysis adjusted for clinico-pathological variables. In the group with low EP, the risk of distant event in the interval from 5 to 10 years was 3.71% (0.89–6.52%). However, extended endocrine treatment does not only reduce the risk of distant events but it is also capable of decreasing local, locoregional and controlateral events (Goss ; Davies ), all measures of benefit that must be taken into account when deciding about the opportunity of prescribing prolonged hormonal therapy. The analysis performed by Dubsky was not limited to the multigene assay. They confirmed that tumour size and nodal status maintain their role of prognostic factors linked to the risk of early and late relapse independently from molecular markers (Bianchini ; Dubsky ; Sestak ; Sgroi ). The combination of clinico-pathological variables and molecular assays should therefore improve the prognostic performance of either assessment alone (Pusztai, 2011). In keeping with such concept, Dubsky showed that a combined score, including EP, nodal status and tumour size (EPclin), performed very powerfully in defining a low-risk group associated with only 1.8% probability of distant metastasis from year 5 to 10. However, the group of patients defined by pathological variable in whom the assay is really informative, therapeutically relevant and clinically useful remains to be defined. For instance, in node-positive tumours the group with low EP may be at lower but still appreciable risk of relapse. The absolute benefit from extended endocrine therapy is the result of the combination of the size of the risk of relapse and the extent of the relative treatment benefit. If a marker is purely prognostic, the relative treatment benefit is the same for each marker value and therefore the absolute benefit from a treatment is expected to increase proportionally with the increased risk of relapse. This is likely true for nodal status and tumour size. For markers that are both prognostic and predictive the absolute benefit is not necessarily correlated with the risk. This applies to many context-specific predictors, including the EP score, which was optimised to predict the risk of relapse in the context of patients treated with tamoxifen and is based on a combination of genes related to proliferation and ER signaling (Filipits ). Even if the prognostic and predictive contribution to the prediction of risk by the EP score has not been formally characterised, the high-risk group defined by the assay is likely represented by patients with poorer prognosis (high proliferation) and deriving relatively low benefit from tamoxifen (low ER signaling). Indeed, there are several studies indicating the association between high ER protein and gene expression, and ER-related genes expression with benefit from tamoxifen and AIs (Bartlett ; Early Breast Cancer Trialists' Collaborative G, 2011; Kim ). The ambiguity of the EP score is in the fact that patients who should avoid extended adjuvant treatment are not only those at low risk of relapse (low EP category) but also those with low likelihood of benefit from the treatment, who are expected to fall particularly into the high-risk category of EP. In addition, patients with high ER signaling and low EP category could still derive major benefit from extended endocrine therapy in spite of the lower risk. All the above underscore the need for caution before the clinical implementation of molecular assays for decision making about extended endocrine therapy and call for in-depth investigation of their prognostic and predictive value. Recently, other gene-expression signatures originally developed for tailoring administration of adjuvant chemotherapy to ER-positive/HER2-negative breast cancer patients treated with endocrine therapy were assessed for their ability to predict early and late relapses (Table 1) (Sestak ; Zhang ; Sgroi , 2013b). Similar considerations as discussed above for EP also apply to these markers. Interestingly, some molecular markers (i.e., proliferation markers, Oncotype DX, IHC4) showed a significant time-varying prognostic value (Sestak ; Sgroi ). Overall, these studies provided strong support to two key concepts. The first is that molecular features and corresponding biological functions associated with risk of early and late relapse are only partially overlapping. The second is that primary tumour samples collected at diagnosis can provide information on the clinical course of the disease that has prognostic value even at late intervals. In an effort to investigate how to use the molecular information of the initial diagnosis to define the time-varying risk of relapse, we investigated whether a different combination of proliferation markers and ER-related genes could improve the prediction of early and late relapses (Bianchini ). A significant interaction between proliferation and ER-related gene was present in cases that relapsed late. In low proliferation tumours, a low expression of ER-related gene was associated with a higher risk of late relapse. The observation is in agreement with the findings of Dubsky , given that low proliferation tumours (only 4% were high grade) were preferentially included in their study. Conversely, in high proliferation tumours, the group with high expression of ER-related genes was associated with low rates of relapse in the early period but with a high risk of relapse in the late period. Patients with tumours that follow within the category of high proliferation and high expression of ER genes could therefore be the ideal candidate to extended endocrine treatment, and the data warrant independent confirmation.
Table 1

Summary of studies investigating the risk of late relapse by molecular assays

ReferencesEndocrine treatmentPatient populationNodal statusBiomarker assessedGroup at high risk for late relapse
Dubsky et al, 2013
Tamoxifen or tamoxifen followed by anastrozole
ABCSG-06 ABCSG-08
Node negative and positive (96% G1 or G2)
EndoPredict (EP) EPciln (including tumour size and nodal status)
High EP High EPclin
Bianchini et al, 2013
Tamoxifen
Public data sets
Node negative and positive
Combination of proliferation (MKS, GGI) and estrogen-related genes (ERS) markers
High-proliferation/high ERS Low-proliferation/low ERS
Zhang et al, 2013
Tamoxifen (2 or 5 years)
Stockholm TAM and institutional cohorts
Node negative
Breast Cancer Index (BCI) (linear combination model)
Intermediate/high BCI
Sgroi et al, 2013b
Tamoxifen or anastrozole
ATAC
Node negative
BCI (linear combination model) HOXB13/IL17BR (H/I) MGI IHC4 RS
Intermediate/high BCI High HOXB13/IL17BR (H/I)
Sgroi et al, 2013a
Tamoxifene
MA.17
Node negative and positive
HOXB13/IL17BR (H/I)
High HOXB13/IL17BR (H/I)
Sestak et al, 2013Tamoxifen or anastrozoleATACNode negative and positiveIHC4 RS ROR (from PAM50)High ROR

Abbreviations: ERclin=combined EndoPredict and clinical variables; GGI=Genomic Grade Index (MapQuant Dx); HOXB13/IL17BR (H/I)=homeobox B13/interleukin 17 receptor B two-gene ratio; IHC4=combination of four immunohistochemical markers; MGI=Molecular Grade Index; MKS=Mitotic Kinase Score; ROR=Risk Of Recurrence (Prosigma); RS=Recurrence Score (Oncotype DX).

Meanwhile, it is appropriate not only to suggest caution in the application of molecular features and gene expression scores for tailoring extended endocrine therapy but also to encourage continuous research. The findings available so far, including the work of Dubsky , suggest that the field is moving in the right direction.
  25 in total

1.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

2.  Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial.

Authors:  Kathy S Albain; William E Barlow; Steven Shak; Gabriel N Hortobagyi; Robert B Livingston; I-Tien Yeh; Peter Ravdin; Roberto Bugarini; Frederick L Baehner; Nancy E Davidson; George W Sledge; Eric P Winer; Clifford Hudis; James N Ingle; Edith A Perez; Kathleen I Pritchard; Lois Shepherd; Julie R Gralow; Carl Yoshizawa; D Craig Allred; C Kent Osborne; Daniel F Hayes
Journal:  Lancet Oncol       Date:  2009-12-10       Impact factor: 41.316

3.  A randomized trial of letrozole in postmenopausal women after five years of tamoxifen therapy for early-stage breast cancer.

Authors:  Paul E Goss; James N Ingle; Silvana Martino; Nicholas J Robert; Hyman B Muss; Martine J Piccart; Monica Castiglione; Dongsheng Tu; Lois E Shepherd; Kathleen I Pritchard; Robert B Livingston; Nancy E Davidson; Larry Norton; Edith A Perez; Jeffrey S Abrams; Patrick Therasse; Michael J Palmer; Joseph L Pater
Journal:  N Engl J Med       Date:  2003-10-09       Impact factor: 91.245

4.  Extended adjuvant therapy with anastrozole among postmenopausal breast cancer patients: results from the randomized Austrian Breast and Colorectal Cancer Study Group Trial 6a.

Authors:  Raimund Jakesz; Richard Greil; Michael Gnant; Marianne Schmid; Werner Kwasny; Ernst Kubista; Brigitte Mlineritsch; Christoph Tausch; Michael Stierer; Friedrich Hofbauer; Karl Renner; Christian Dadak; Ernst Rücklinger; Hellmut Samonigg
Journal:  J Natl Cancer Inst       Date:  2007-12-11       Impact factor: 13.506

5.  Efficacy, toxicity, and quality of life in older women with early-stage breast cancer treated with letrozole or placebo after 5 years of tamoxifen: NCIC CTG intergroup trial MA.17.

Authors:  Hyman B Muss; Dongsheng Tu; James N Ingle; Silvana Martino; Nicholas J Robert; Joseph L Pater; Timothy J Whelan; Michael J Palmer; Martine J Piccart; Lois E Shepherd; Kathleen I Pritchard; Zhi He; Paul E Goss
Journal:  J Clin Oncol       Date:  2008-03-10       Impact factor: 44.544

6.  Benefit from exemestane as extended adjuvant therapy after 5 years of adjuvant tamoxifen: intention-to-treat analysis of the National Surgical Adjuvant Breast And Bowel Project B-33 trial.

Authors:  Eleftherios P Mamounas; Jong-Hyeon Jeong; D Lawrence Wickerham; Roy E Smith; Patricia A Ganz; Stephanie R Land; Andrea Eisen; Louis Fehrenbacher; William B Farrar; James N Atkins; Eduardo R Pajon; Victor G Vogel; Joan F Kroener; Laura F Hutchins; André Robidoux; James L Hoehn; James N Ingle; Charles E Geyer; Joseph P Costantino; Norman Wolmark
Journal:  J Clin Oncol       Date:  2008-03-10       Impact factor: 44.544

7.  Supervised risk predictor of breast cancer based on intrinsic subtypes.

Authors:  Joel S Parker; Michael Mullins; Maggie C U Cheang; Samuel Leung; David Voduc; Tammi Vickery; Sherri Davies; Christiane Fauron; Xiaping He; Zhiyuan Hu; John F Quackenbush; Inge J Stijleman; Juan Palazzo; J S Marron; Andrew B Nobel; Elaine Mardis; Torsten O Nielsen; Matthew J Ellis; Charles M Perou; Philip S Bernard
Journal:  J Clin Oncol       Date:  2009-02-09       Impact factor: 44.544

8.  Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer.

Authors:  Marc Buyse; Sherene Loi; Laura van't Veer; Giuseppe Viale; Mauro Delorenzi; Annuska M Glas; Mahasti Saghatchian d'Assignies; Jonas Bergh; Rosette Lidereau; Paul Ellis; Adrian Harris; Jan Bogaerts; Patrick Therasse; Arno Floore; Mohamed Amakrane; Fanny Piette; Emiel Rutgers; Christos Sotiriou; Fatima Cardoso; Martine J Piccart
Journal:  J Natl Cancer Inst       Date:  2006-09-06       Impact factor: 13.506

9.  Meta-analysis of breast cancer outcomes in adjuvant trials of aromatase inhibitors versus tamoxifen.

Authors:  Mitch Dowsett; Jack Cuzick; Jim Ingle; Alan Coates; John Forbes; Judith Bliss; Marc Buyse; Michael Baum; Aman Buzdar; Marco Colleoni; Charles Coombes; Claire Snowdon; Michael Gnant; Raimund Jakesz; Manfred Kaufmann; Francesco Boccardo; Jon Godwin; Christina Davies; Richard Peto
Journal:  J Clin Oncol       Date:  2009-11-30       Impact factor: 44.544

10.  Proliferation and estrogen signaling can distinguish patients at risk for early versus late relapse among estrogen receptor positive breast cancers.

Authors:  Giampaolo Bianchini; Lajos Pusztai; Thomas Karn; Takayuki Iwamoto; Achim Rody; Catherine Kelly; Volkmar Müller; Schmidt Schmidt; Yuan Qi; Uwe Holtrich; Sven Becker; Libero Santarpia; Angelica Fasolo; Gianluca Del Conte; Milvia Zambetti; Christos Sotiriou; Benjamin Haibe-Kains; W Fraser Symmans; Luca Gianni
Journal:  Breast Cancer Res       Date:  2013       Impact factor: 6.466

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  1 in total

Review 1.  Status of adjuvant endocrine therapy for breast cancer.

Authors:  Gaia Schiavon; Ian E Smith
Journal:  Breast Cancer Res       Date:  2014       Impact factor: 6.466

  1 in total

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