Evidence map›Paper›PMID 37419892›Full record

ArticleNature communications2023

Molecular profiling of aromatase inhibitor sensitive and resistant ER+HER2- postmenopausal breast cancers.

Eugene F Schuster, Elena Lopez-Knowles, Anastasia Alataki, Lila Zabaglo, Elizabeth Folkerd, David Evans, Kally Sidhu, Maggie Chon U Cheang, Holly Tovey, Manuel Salto-Tellez and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.6field-weighted citation impact, top 3% of its field
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

19 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Anastrozole Dose Escalation for Optimal Estrogen Suppression in Postmenopausal Early-Stage Breast Cancer: A Prospective Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Trial
  4. Article
  5. Article
  6. Evaluation of targeted and immune combination therapies in a rat model of hormone receptor-positive breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Rat somatic genome editing enables ER+ breast cancer modeling.bioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Targeting Oestrogen Receptor Signalling in Breast Cancer Therapy.Advances in experimental medicine and biology · 2025
    Review
  17. Article
  18. Review
  19. Review
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

15 authors at 4 institutions in 1 country.

Eugene F SchusterThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK. gene.schuster@icr.ac.uk.ORCID 0000-0001-5076-2810
Elena Lopez-KnowlesThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Anastasia AlatakiThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Lila ZabagloUK NEQAS ICC & ISH, London, UK.
Elizabeth FolkerdThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
David EvansUK NEQAS ICC & ISH, London, UK.
Kally SidhuUK NEQAS ICC & ISH, London, UK.
Maggie Chon U CheangClinical Trials and Statistics Unit, Division of Clinical Studies, The Institute of Cancer Research, London, UK.
Holly ToveyClinical Trials and Statistics Unit, Division of Clinical Studies, The Institute of Cancer Research, London, UK.
Manuel Salto-TellezPrecision Medicine Centre of Excellence, The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK.
Perry MaxwellPrecision Medicine Centre of Excellence, The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK.
John RobertsonFaculty of Medicine & Health Sciences, Queen's Medical Centre, Nottingham, UK.
Ian SmithRoyal Marsden Hospital, London, UK.
Judith M BlissClinical Trials and Statistics Unit, Division of Clinical Studies, The Institute of Cancer Research, London, UK.
Mitch DowsettRoyal Marsden Hospital, London, UK.ORCID 0000-0003-4122-744X
Institute of Cancer Research · GBQueen's University Belfast · GBRoyal Marsden Hospital · GBQueen's Medical Centre · GB

Funding

Cancer Research UK 25351Cancer Research UK 8671
6 · The paper itself

Abstract

Aromatase inhibitors (AIs) reduce recurrences and mortality in postmenopausal patients with oestrogen receptor positive (ER+) breast cancer (BC), but >20% of patients will eventually relapse. Given the limited understanding of intrinsic resistance in these tumours, here we conduct a large-scale molecular analysis to identify features that impact on the response of ER + HER2- BC to AI. We compare the 15% of poorest responders (PRs, n = 177) as measured by proportional Ki67 changes after 2 weeks of neoadjuvant AI to good responders (GRs, n = 190) selected from the top 50% responders in the POETIC trial and matched for baseline Ki67 categories. In this work, low ESR1 levels are associated with poor response, high proliferation, high expression of growth factor pathways and non-luminal subtypes. PRs having high ESR1 expression have similar proportions of luminal subtypes to GRs but lower plasma estradiol levels, lower expression of estrogen response genes, higher levels of tumor infiltrating lymphocytes and immune markers, and more TP53 mutations.

Indexed as

Aromatase InhibitorsBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansKi-67 AntigenNeoplasm Recurrence, LocalPostmenopauseReceptors, EstrogenAromatase InhibitorsErb-b2 Receptor Tyrosine KinasesKi-67 AntigenReceptors, Estrogen

Identifiers

PMID37419892
PMCPMC10328947
OpenAlexW4383534606

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.