Evidence map›Paper›PMID 36686845›Full record

ReviewFrontiers in oncology2022

ESR1 fusions and therapeutic resistance in metastatic breast cancer.

Zsuzsanna Nagy, Rinath Jeselsohn

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
10.3field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 33 citations in OpenAlex.

  1. Characteristics of fusion genes in breast cancer.Cancer cell international · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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
  8. Article
  9. Article
  10. Quercetin and Citreorosein fromCurrent pharmaceutical design · 2026
    Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Targeted editing of CCL5 with CRISPR-Cas9 nanoparticles enhances breast cancer immunotherapy.Apoptosis : an international journal on programmed cell death · 2025
    Article
  18. Harnessing the Role ofInternational journal of molecular sciences · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Zsuzsanna NagyCenter for Functional Cancer Epigenetics, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
Rinath JeselsohnCenter for Functional Cancer Epigenetics, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
Dana-Farber Cancer Institute · USHarvard University · US

Funding

Optimizing CDK7 Inhibitor Therapeutic Strategies for ER+ Breast CancerR01CA237414 · NCI · DANA-FARBER CANCER INST · PI Rinath M. Jeselsohn · 2019 to 2026
$2.3M
NCI NIH HHS R01 CA237414
6 · The paper itself

Abstract

Breast cancer is the most frequent female malignant tumor, and the leading cause of cancer death in women worldwide. The most common subtype of breast cancer is hormone receptor positive that expresses the estrogen receptor (ER). Targeting ER with endocrine therapy (ET) is the current standard of care for ER positive (ER+) breast cancer, reducing mortality by up to 40% in early- stage disease. However, resistance to ET represents a major clinical challenge for ER+ breast cancer patients leading to disease recurrence or progression of metastatic disease. Salient drivers of ET resistance are missense mutations in the ER gene (

Indexed as

breast cancerendocrine therapy resistanceESR1 fusionestrogen receptorSERD

Identifiers

PMID36686845
PMCPMC9848494
OpenAlexW4313584691

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.