Evidence map›Paper›PMID 36125660›Full record

ArticleBreast cancer research and treatment2022

Molecular characterization of ESR1 variants in breast cancer.

Arielle L Heeke, Andrew Elliott, Rebecca Feldman, Hazel F O'Connor, Paula R Pohlmann, Filipa Lynce, Sandra M Swain, Maria R Nunes, Daniel Magee, Matthew J Oberley and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Breast cancer research and treatment, 2022. 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
–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

11 citing papers in PubMed.

  1. Article
  2. Exploration of targeted anti-tumor therapy · 2026
    Review
  3. ESR1 fusions in breast cancer: functions, mechanisms and therapeutic opportunities.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

16 authors.

Arielle L HeekeDepartment of Solid Tumor Oncology and Investigational Therapeutics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA. arielle.heeke@atriumhealth.org.ORCID http://orcid.org/0000-0001-7809-2564
Andrew ElliottCaris Life Sciences, Phoenix, AZ, USA.
Rebecca FeldmanCaris Life Sciences, Phoenix, AZ, USA.
Hazel F O'ConnorDepartment of Solid Tumor Oncology and Investigational Therapeutics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA.
Paula R PohlmannUniversity of Texas MD Anderson Cancer Center, Houston, TX, USA.
Filipa LynceDana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Sandra M SwainLombardi Comprehensive Cancer Center, Georgetown University Hospital, Washington, DC, USA.
Maria R NunesSidney Kimmel Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
Daniel MageeCaris Life Sciences, Phoenix, AZ, USA.
Matthew J OberleyCaris Life Sciences, Phoenix, AZ, USA.
Jeffrey SwensonCaris Life Sciences, Phoenix, AZ, USA.
Gregory VidalWest Cancer Center and Research Institute, Memphis, TN, USA.
Claudine IsaacsLombardi Comprehensive Cancer Center, Georgetown University Hospital, Washington, DC, USA.
Lee SchwartzbergWest Cancer Center and Research Institute, Memphis, TN, USA.
W Michael KornCaris Life Sciences, Phoenix, AZ, USA.
Antoinette R TanDepartment of Solid Tumor Oncology and Investigational Therapeutics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEstrogen receptor 1 (ESR1) mutations and fusions typically arise in patients with hormone receptor-positive breast cancer after aromatase inhibitor therapy, whereby ESR1 is constitutively activated in a ligand-independent manner. These variants can impact treatment response. Herein, we characterize ESR1 variants among molecularly profiled advanced breast cancers.

methodsDNA next-generation sequencing (592-gene panel) data from 9860 breast cancer samples were retrospectively reviewed. Gene fusions were detected using the ArcherDx fusion assay or whole transcriptome sequencing (n = 344 and n = 4305, respectively). Statistical analyses included Chi-square and Fisher's exact tests.

resultsAn ESR1 ligand-binding domain (LBD) mutation was detected in 8.6% of tumors evaluated and a pathogenic ESR1 fusion was detected in 1.6%. Most ESR1 LBD mutations/fusions were from estrogen receptor (ER)-positive samples (20.1% and 4.9%, respectively). The most common ESR1 LBD mutations included D538G (3.3%), Y537S (2.3%), and E380Q (1.1%) mutations. Among biopsy sites, ESR1 LBD mutations were most observed in liver metastases. Pathogenic ESR1 fusions were identified in 76 samples (1.6%) with 40 unique fusion partners. Evaluating co-alterations, ESR1 variant (mutation/fusion) samples more frequently expressed androgen receptor (78.0% vs 58.6, P < 0.0001) and less frequently immune checkpoint proteins than ESR1 wild-type (PD-1 20.0% vs 53.4, P < 0.05; immune cell PD-L1 10.0% vs 30.2, P < 0.0001).

conclusionWe have described one of the largest series of ESR1 fusions reported. ESR1 LBD mutations were commonly identified in ER-positive disease. Limited data exists regarding the clinical impact of ESR1 fusions, which could be an area for future therapeutic exploration.

Indexed as

Breast NeoplasmsEstrogen Receptor alphaAromatase InhibitorsB7-H1 AntigenFemaleHumansImmune Checkpoint ProteinsLigandsMutationProgrammed Cell Death 1 ReceptorReceptors, AndrogenReceptors, EstrogenRetrospective StudiesAromatase InhibitorsB7-H1 AntigenEstrogen Receptor alphaImmune Checkpoint ProteinsLigandsProgrammed Cell Death 1 ReceptorReceptors, AndrogenReceptors, EstrogenBreast cancerESR1FusionMolecular profilingMutation

Identifiers

What OpenQuestion holds

Textmetadata
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.