Evidence map›Paper›PMID 29330437›Full record

ArticleScientific reports2018

A Computational Assay of Estrogen Receptor α Antagonists Reveals the Key Common Structural Traits of Drugs Effectively Fighting Refractory Breast Cancers.

Matic Pavlin, Angelo Spinello, Marzia Pennati, Nadia Zaffaroni, Silvia Gobbi, Alessandra Bisi, Giorgio Colombo, Alessandra Magistrato

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
8.1field-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

31 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
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  7. ESR1 activating mutations: From structure to clinical application.Biochimica et biophysica acta. Reviews on cancer · 2023
    Review
  8. Article
  9. Review
  10. Forskolin Stimulates Estrogen Receptor (ER)International journal of endocrinology · 2022
    Article
  11. Article
  12. Article
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  14. Article
  15. New insights on CRISPR/Cas9-based therapy for breast Cancer.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
    Review
  16. Article
  17. Currently Applied Molecular Assays for IdentifyingInternational journal of molecular sciences · 2020
    Review
  18. Molecular Basis for Endocrine Disruption by Pesticides Targeting Aromatase and Estrogen Receptor.International journal of environmental research and public health · 2020
    Article
  19. Article
  20. 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

8 authors at 4 institutions in 1 country.

Matic PavlinCNR-IOM-Democritos c/o International School for Advanced Studies (SISSA), via Bonomea 265, 34136, Trieste, Italy.
Angelo SpinelloCNR-IOM-Democritos c/o International School for Advanced Studies (SISSA), via Bonomea 265, 34136, Trieste, Italy.
Marzia PennatiFondazione IRCSS Istituto Nazionale dei Tumori, via Amadeo 42, 20113, Milano, Italy.
Nadia ZaffaroniFondazione IRCSS Istituto Nazionale dei Tumori, via Amadeo 42, 20113, Milano, Italy.
Silvia GobbiDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum-University of Bologna, via Belmeloro 6, 40126, Bologna, Italy.
Alessandra BisiDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum-University of Bologna, via Belmeloro 6, 40126, Bologna, Italy.
Giorgio ColomboCNR-ICRM, via Mario Bianco 9, 20131, Milano, Italy.
Alessandra MagistratoCNR-IOM-Democritos c/o International School for Advanced Studies (SISSA), via Bonomea 265, 34136, Trieste, Italy. alessandra.magistrato@sissa.it.
Scuola Internazionale Superiore di Studi Avanzati · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITUniversity of Bologna · ITInstitute of Chemistry of Molecular Recognition · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Somatic mutations of the Estrogen Receptor α (ERα) occur with an up to 40% incidence in ER sensitive breast cancer (BC) patients undergoing prolonged endocrine treatments. These polymorphisms are implicated in acquired resistance, disease relapse, and increased mortality rates, hence representing a current major clinical challenge. Here, multi-microseconds (12.5 µs) molecular dynamics simulations revealed that recurrent ERα polymorphisms (i. e. L536Q, Y537S, Y537N, D538G) (mERα) are constitutively active in their apo form and that they prompt the selection of an agonist (active)-like conformation even upon antagonists binding. Interestingly, our simulations rationalize, for the first time, the efficacy profile of (pre)clinically used Selective Estrogen Receptor Modulators/Downregulators (SERMs/SERDs) against these variants, enlightening, at atomistic level of detail, the key common structural traits needed by drugs able to effectively fight refractory BC types. This knowledge represents a key advancement for mechanism-based therapeutics targeting resistant ERα isoforms, potentially allowing the community to move a step closer to 'precision medicine' calibrated on patients' genetic profiles and disease progression.

Indexed as

Breast NeoplasmsEstrogen Receptor alphaEstrogen Receptor AntagonistsFemaleHumansModels, MolecularMolecular Dynamics SimulationPolymorphism, Single NucleotideProtein Structure, SecondaryESR1 protein, humanEstrogen Receptor alphaEstrogen Receptor Antagonists

Identifiers

PMID29330437
PMCPMC5766519
OpenAlexW2783500818

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.