Evidence map›Paper›PMID 30563991›Full record

ArticleBritish journal of cancer2019

Molecular characterisation of aromatase inhibitor-resistant advanced breast cancer: the phenotypic effect of ESR1 mutations.

Elena Lopez-Knowles, Alex Pearson, Gene Schuster, Pascal Gellert, Ricardo Ribas, Belinda Yeo, Ros Cutts, Richard Buus, Isaac Garcia-Murillas, Ben Haynes and 4 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  5. International journal of molecular sciences · 2022
    Article
  6. Review
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  8. Article
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  11. Artificial intelligence (AI) and big data in cancer and precision oncology.Computational and structural biotechnology journal · 2020
    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

14 authors at 4 institutions in 2 countries.

Elena Lopez-KnowlesThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Alex PearsonThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Gene SchusterThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Pascal GellertThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Ricardo RibasThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Belinda YeoRalph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK.
Ros CuttsThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Richard BuusThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Isaac Garcia-MurillasThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Ben HaynesRalph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK.
Lesley-Ann MartinThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Ian SmithBreast Unit, Royal Marsden Hospital, London, UK.
Nick TurnerThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
Mitch DowsettThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK. mitch.dowsett@icr.ac.uk.
Institute of Cancer Research · GBBreast Cancer Now · GBRoyal Marsden Hospital · GBOlivia Newton-John Cancer Wellness & Research Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral thousand breast cancer patients develop resistance to aromatase inhibitors (AIs) each year in the UK. Rational treatment requires an improved molecular characterisation of resistant disease. MATERIALS AND

methodsThe mutational landscape of 198 regions in 16 key breast cancer genes and RNA expression of 209 genes covering key pathways was evaluated in paired biopsies before AI treatment and at progression on AI from 48 patients. Validity of findings was assessed in another five ESR1-mutated tumours progressing on AI.

resultsEighty-nine mutations were identified in 41 matched pairs (PIK3CA in 27%; CDH1 in 20%). ESR1 (n = 5), ERBB2 (n = 1) and MAP2K4 (n = 1) had mutations in the secondary sample only. There was very high heterogeneity in gene expression between AI-resistant tumours with few patterns apparent. However, in the ESR1-mutated AI-resistant tumours, expression of four classical oestrogen-regulated genes (ERGs) was sevenfold higher than in ESR1 wild-type tumours, a finding confirmed in the second set of ESR1-mutated tumours. In ESR1 wild-type AI-resistant tumours ERG expression remained suppressed and was uncoupled from the recovery seen in proliferation.

conclusionsMajor genotypic and phenotypic heterogeneity exists between AI-resistant disease. ESR1 mutations appear to drive oestrogen-regulated processes in resistant tumours.

Indexed as

AdultAgedAged, 80 and overAntigens, CDAromatase InhibitorsBreastBreast NeoplasmsCadherinsClass I Phosphatidylinositol 3-KinasesDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesEstrogen Receptor alphaEstrogensFemaleGene Expression Regulation, NeoplasticHumansAntigens, CDAromatase InhibitorsCadherinsCDH1 protein, humanClass I Phosphatidylinositol 3-KinasesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesESR1 protein, humanEstrogen Receptor alphaEstrogensMAP2K4 protein, humanMAP Kinase Kinase 4PIK3CA protein, human

Identifiers

PMID30563991
PMCPMC6342946
OpenAlexW2903745967

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.