Evidence map›Paper›PMID 41074908›Full record

SynthesisHealth technology assessment (Winchester, England)2025

Tumour profiling tests to guide adjuvant chemotherapy decisions in lymph node-positive early breast cancer: a systematic review and economic evaluation.

Paul Tappenden, Katy Cooper, Jean Hamilton, Gamze Nalbant, Munira Essat, Annabel Rayner, Ruth Wong, Nicolò Matteo Luca Battisti, Lynda Wyld, Uzma Asghar

Abstract readSystematic Review
In one paragraph

Synthesis in Health technology assessment (Winchester, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Paul TappendenSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0001-6612-2332
Katy CooperSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0002-7702-8103
Jean HamiltonSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0003-3326-9842
Gamze NalbantSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0002-5414-9383
Munira EssatSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0003-2397-402X
Annabel RaynerSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0002-6458-1663
Ruth WongSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0002-4536-4794
Nicolò Matteo Luca BattistiDepartment of Medicine, Breast Unit, The Royal Marsden NHS Foundation Trust, London, UK.ORCID 0000-0002-1063-1717
Lynda WyldClinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0002-4046-5940
Uzma AsgharDepartment of Medicine, Breast Unit, The Royal Marsden NHS Foundation Trust, London, UK.ORCID 0000-0001-5103-1673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer is the most commonly diagnosed cancer in women in England. Breast cancer and chemotherapy treatment can impact upon patients' quality of life and survival. Tumour profiling tests can help to identify whether patients will benefit from chemotherapy. Objectives: To evaluate the effectiveness and cost-effectiveness of four tumour profiling tests (Oncotype DX, Prosigna, EPclin and MammaPrint), compared with current decision-making (no testing), to guide use of adjuvant chemotherapy in people with hormone-receptor positive, human epidermal growth factor receptor 2 negative, early-stage breast cancer with one to three positive lymph nodes. Methods and data sources: A systematic review identified studies via a literature search in April 2023 and from our previous review. The economic analysis included a review of existing models and development of an independent model. Results: Fifty-five articles were included, 42 for prognostic and predictive ability and 13 for impact on chemotherapy decisions. All four tests showed prognostic ability for determining risk of relapse. The RxPONDER randomised controlled trial of Oncotype DX indicated no chemotherapy benefit in post-menopausal lymph node-positive patients with a recurrence score of 0-25, but a statistically significant benefit in pre-menopausal patients with a recurrence score of 0-25. An older randomised controlled trial reanalysis (Southwest Oncology Group-8814) indicated lower relative chemotherapy benefit with lower recurrence score, with statistically significant interactions between recurrence score and chemotherapy benefit in some but not all analyses. There was no clear evidence of prediction of relative chemotherapy benefit for Prosigna, EPclin or MammaPrint. Decision impact studies in lymph node-positive populations in the United Kingdom and Europe were only available for Oncotype DX, and they reported a reduction of 12-75% in chemotherapy recommendations following testing. Based on the list prices of the tests and downstream treatments, the independent model suggests the following. Oncotype DX: This test dominates current decision-making in post-menopausal lymph node-positive women, provided an assumption of predictive benefit holds, but the test is dominated if this assumption does not hold. The test is dominated by current decision-making in pre-menopausal lymph node-positive women. Prosigna: The probabilistic incremental cost-effectiveness ratio for Prosigna versus current decision-making in post-menopausal lymph node-positive women is £39,357 per quality-adjusted life-year gained. EPclin: The probabilistic incremental cost-effectiveness ratio for EPclin versus current decision-making in post-menopausal lymph node-positive women is £4113 per quality-adjusted life-year gained. MammaPrint: Within clinical high-risk pre-/post-menopausal lymph node-positive women, MammaPrint is dominated by current decision-making. Limitations: There are limited data on the prediction of chemotherapy benefit; evidence for Oncotype DX may support a predictive benefit, but this is uncertain. Decision impact studies in a lymph node-positive population were available only for Oncotype DX. The economic model relies on an assumption of predictive benefit for Oncotype DX, and broader assumptions around the way that Prosigna, MammaPrint and EPclin test results would affect chemotherapy decisions. Conclusions: All four tests provide prognostic information on the risk of relapse. The evidence on prediction of relative chemotherapy benefit is weaker and mostly limited to Oncotype DX. The economic analyses indicate that Oncotype DX and EPclin may have favourable cost-effectiveness profiles in post-menopausal lymph node-positive subgroups, although this is uncertain. Study registration: This study is registered as PROSPERO CRD42023425638. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis Programme (NIHR award ref: NIHR135822) and is published in full in

Indexed as

Breast NeoplasmsChemotherapy, AdjuvantCost-Benefit AnalysisFemaleHumansLymphatic MetastasisLymph NodesPrognosisQuality-Adjusted Life YearsTechnology Assessment, BiomedicalADJUVANTBREAST NEOPLASMSCHEMOTHERAPYCOST-EFFECTIVENESS ANALYSISGENE EXPRESSION PROFILINGPROGNOSISSYSTEMATIC REVIEW

Identifiers

PMID41074908
PMCPMC12683682

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.