Evidence map›Paper›PMID 36198774›Full record

ArticleOncogene2022

Genome engineering for estrogen receptor mutations reveals differential responses to anti-estrogens and new prognostic gene signatures for breast cancer.

Alison Harrod, Chun-Fui Lai, Isabella Goldsbrough, Georgia M Simmons, Natasha Oppermans, Daniela B Santos, Balazs Győrffy, Rebecca C Allsopp, Bradley J Toghill, Kirsty Balachandran and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

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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

20 authors at 5 institutions in 2 countries.

Alison HarrodDepartment of Surgery & Cancer, Imperial College London, London, W12 0NN, UK.
Chun-Fui LaiDepartment of Surgery & Cancer, Imperial College London, London, W12 0NN, UK.
Isabella GoldsbroughDepartment of Surgery & Cancer, Imperial College London, London, W12 0NN, UK.
Georgia M SimmonsDepartment of Surgery & Cancer, Imperial College London, London, W12 0NN, UK.
Natasha OppermansDepartment of Surgery & Cancer, Imperial College London, London, W12 0NN, UK.
Daniela B SantosDepartment of Surgery & Cancer, Imperial College London, London, W12 0NN, UK.
Balazs GyőrffySemmelweis University Department of Bioinformatics, H-1094 Budapest, Hungary and TTK Cancer Biomarker Research Group, H-1117, Budapest, Hungary.
Rebecca C AllsoppLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, LE2 7LX, UK.ORCID 0000-0003-4887-8632
Bradley J ToghillLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, LE2 7LX, UK.
Kirsty BalachandranDepartment of Surgery & Cancer, Imperial College London, London, W12 0NN, UK.
Mandy LawsonEarly Oncology R&D, AstraZeneca, Biomedical Campus, 1 Francis Crick Ave, Cambridge, CB2 0AA, UK.
Christopher J MorrowEarly Oncology R&D, AstraZeneca, Biomedical Campus, 1 Francis Crick Ave, Cambridge, CB2 0AA, UK.
Manasa SurakalaEarly Oncology R&D, AstraZeneca, Biomedical Campus, 1 Francis Crick Ave, Cambridge, CB2 0AA, UK.
Larissa S CarnevalliEarly Oncology R&D, AstraZeneca, Biomedical Campus, 1 Francis Crick Ave, Cambridge, CB2 0AA, UK.ORCID 0000-0001-7432-0195
Pei ZhangEarly Oncology R&D, AstraZeneca, Biomedical Campus, 1 Francis Crick Ave, Cambridge, CB2 0AA, UK.
David S GutteryLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, LE2 7LX, UK.ORCID 0000-0003-0418-580X
Jacqueline A ShawLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, LE2 7LX, UK.ORCID 0000-0003-4227-503X
R Charles CoombesDepartment of Surgery & Cancer, Imperial College London, London, W12 0NN, UK.ORCID 0000-0002-4811-1100
Lakjaya BuluwelaDepartment of Surgery & Cancer, Imperial College London, London, W12 0NN, UK. l.buluwela@imperial.ac.uk.ORCID 0000-0001-6973-334X
Simak AliDepartment of Surgery & Cancer, Imperial College London, London, W12 0NN, UK. simak.ali@imperial.ac.uk.ORCID 0000-0002-1320-0816
Imperial College London · GBAstraZeneca (United Kingdom) · GBUniversity of Leicester · GBInstitute of Cancer Research · GBSemmelweis University · HU

Funding

Breast Cancer Now 2014MAYPR234Cancer Research UK 12011Cancer Research UK 23464Cancer Research UK A12011Cancer Research UK C37/A18784Department of HealthMedical Research Council MR/P016413/1Medical Research Council MR/P018521/1Medical Research Council MR/R015732/1
6 · The paper itself

Abstract

Mutations in the estrogen receptor (ESR1) gene are common in ER-positive breast cancer patients who progress on endocrine therapies. Most mutations localise to just three residues at, or near, the C-terminal helix 12 of the hormone binding domain, at leucine-536, tyrosine-537 and aspartate-538. To investigate these mutations, we have used CRISPR-Cas9 mediated genome engineering to generate a comprehensive set of isogenic mutant breast cancer cell lines. Our results confirm that L536R, Y537C, Y537N, Y537S and D538G mutations confer estrogen-independent growth in breast cancer cells. Growth assays show mutation-specific reductions in sensitivities to drugs representing three classes of clinical anti-estrogens. These differential mutation- and drug-selectivity profiles have implications for treatment choices following clinical emergence of ER mutations. Our results further suggest that mutant expression levels may be determinants of the degree of resistance to some anti-estrogens. Differential gene expression analysis demonstrates up-regulation of estrogen-responsive genes, as expected, but also reveals that enrichment for interferon-regulated gene expression is a common feature of all mutations. Finally, a new gene signature developed from the gene expression profiles in ER mutant cells predicts clinical response in breast cancer patients with ER mutations.

Indexed as

Breast NeoplasmsReceptors, EstrogenEstrogen AntagonistsEstrogen Receptor alphaEstrogensFemaleHumansMutationPrognosisEstrogen AntagonistsEstrogen Receptor alphaEstrogensReceptors, Estrogen

Identifiers

PMID36198774
PMCPMC7613769
OpenAlexW4301430941

What OpenQuestion holds

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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.