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Poster session 04

462P - Health outcomes of treatment sequences with eribulin or other single agents’ chemotherapy for treating relapsed metastatic HER2-negative breast cancer

Date

21 Oct 2023

Session

Poster session 04

Topics

Therapy

Tumour Site

Breast Cancer

Presenters

Simone Rivolo

Citation

Annals of Oncology (2023) 34 (suppl_2): S334-S390. 10.1016/S0923-7534(23)01260-7

Authors

S. Rivolo1, K. Ndirangu2, D. Teloian3, A. Ambavane4, C. Jackisch5, P.S. Hall6

Author affiliations

  • 1 Modelling & Simulation, Evidera, W6 8BJ - Milan/IT
  • 2 Global Value & Access, Eisai Inc., 07110 - Nutley/US
  • 3 Modeling And Simulation Dept., Evidera - Hungary, 1113 - Budapest/HU
  • 4 Modeling & Simulation, Evidera, W6 8BJ - Dubai/AE
  • 5 Department Of Ob Gyn & Breast Cancer Center, Ana Klinikum Offenbach, 63069 - Offenbach/DE
  • 6 Edinburgh Cancer Research Centre, University of Edinburgh. Edinburgh Cancer Centre, Western General Hospital, NHS Lothian, EH1 3EG - Edinburgh/GB

Resources

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Abstract 462P

Background

Treatment of HER2- metastatic breast cancer (MBC) is driven by biomarker status (HR+ vs. triple negative [TNBC]). Single agent chemotherapy (ChT) is recommended for patients relapsing on targeted therapies including endocrine therapy or immunotherapies, with ChTs optimal sequence not yet established. The study objective was to compare the health outcomes (life years [LYs], quality adjusted LYs [QALYs]) in sequences starting ChT with eribulin (ERI), capecitabine (CAP) or treatment of physician choice (TPC), in second-line (2L) to fourth-line (4L) settings.

Methods

A stochastic microsimulation was developed tracking a MBC cohort through 2L-4L, with patients starting the next line of therapy due to progression or serious adverse events (SAEs) discontinuation. After each line, patients could receive another active therapy or best supportive care. Treatment sequences across three treatment pathways, capturing ChT initiation in 2L, 3L or 4L (the table), were based on clinical guidelines, real-world data and clinical interviews. Clinical inputs were stratified by biomarker and treatment line, with QALYs driven by progression status, response rates and SAEs. The analysis time horizon was 20 years, with outcomes discounted at 3.5%.

Results

In the HR+ subgroup, sequences with ERI used earlier than CAP/TPC led to higher LYs (1.62 - 2.24 vs. 1.57 - 2.22) and QALYs (0.75 -1.28 vs. 0.69 – 1.27), across the three pathways, driven by improved ERI efficacy and safety profile vs. CAP/TPC. Similarly, in the TNBC subgroup, earlier use of ERI vs. CAP/TPC led to higher LYs (1.19 - 1.64 vs. 1.16 - 1.63) and QALYs (0.55 - 0.86 vs. 0.49 - 0.85) when used in 2L or 4L, while 3L ERI vs. 3L TPC led to higher QALYs (0.70 vs. 0.67 - 0.68), but comparable LYs (1.40). The results were consistent across the sensitivity analyses conducted. Table: 462P

2L 3L 4L 2L 3L 4L
Pathway HR+ TNBC
ChT post taxane/anthracycline in 1L or post adjuvant settings CAP TPC ERI CAP TPC ERI
CAP ERI TPC CAP ERI TPC
ERI CAP TPC ERI CAP TPC
ERI TPC CAP ERI TPC CAP
ChT post 2L taxane PAC CAP TPC PAC CAP TPC
PAC CAP ERI PAC CAP ERI
PAC TPC CAP PAC TPC CAP
PAC TPC ERI PAC TPC ERI
PAC ERI CAP PAC ERI CAP
PAC ERI TPC PAC ERI TPC
HR+: ChT post 2L CDK4/6 inhibitors and 3L taxane TNBC: ChT post 2L taxane and 3L SAC FUL + PAL PAC CAP PAC SAC ERI
FUL + PAL PAC ERI PAC SAC CAP
FUL + PAL PAC TPC PAC SAC TPC

CDK = cyclin-dependent kinase; FUL = fulvestrant; PAC = paclitaxel; PAL = palbociclib; SAC = sacituzumab. Note: TPC includes vinorelbine, gemcitabine, capecitabine, taxanes, anthracyclines and hormonal therapy.

Conclusions

Starting single agent ChT with ERI vs. CAP or TPC is associated with improved health outcomes for 2L-4L HER2- MBC management.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Eisai.

Disclosure

S. Rivolo: Other, Institutional, Research Funding, Simone Rivolo is employed by Evidera, a part of Thermo Fisher Scientific, which received consulting fees for research activities from Eisai.: Eisai. K. Ndirangu: Financial Interests, Institutional, Full or part-time Employment, Kerigo Ndirangu is an employee of Eisai Inc.: Eisai. D. Teloian: Other, Institutional, Research Funding, Diana Teloian is employed by Evidera, a part of Thermo Fisher Scientific, which received consulting fees for research activities from Eisai.: Eisai. A. Ambavane: Other, Institutional, Research Funding, Apoorva Ambavane is employed by Evidera, a part of Thermo Fisher Scientific, which received consulting fees for research activities from Eisai.: Eisai. C. Jackisch: Financial Interests, Personal, Invited Speaker: Roche, Exact Sciences, Gilead, Molecular Health; Financial Interests, Personal, Advisory Board: AstraZeneca, Novartis, Daiichi Sankyo, Pfizer. P.S. Hall: Financial Interests, Institutional, Research Funding: Lilly, Eisai, Novartis, Merk, Gilead, Sanofi, Roche, SeaGen.

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