Evidence map›Paper›PMID 23901284›Full record

ArticleOncoTargets and therapy2013

Gamma secretase inhibitors of Notch signaling.

Roma Olsauskas-Kuprys, Andrei Zlobin, Clodia Osipo

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

  1. Trial
  2. Chemoresistance: The hidden barrier in cancer treatment.Cancer pathogenesis and therapy · 2026
    Review
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  13. Article
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  15. A framework to identify functional interactors that contribute to disrupted early retinal development in Vsx2 ocular retardation J mice.Developmental dynamics : an official publication of the American Association of Anatomists · 2023
    Article
  16. Review
  17. Review
  18. The Intricate Notch Signaling Dynamics in Therapeutic Realms of Cancer.ACS pharmacology & translational science · 2023
    Review
  19. Article
  20. Article

37 more citing papers are in PubMed but not listed here.

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

3 authors.

Roma Olsauskas-KuprysThe Oncology Institute, Cardinal Bernardin Cancer Center, Loyola University Chicago, Chicago, IL, USA.
Andrei Zlobin
Clodia Osipo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The numerous processes involved in the etiology of breast cancer such as cell survival, metabolism, proliferation, differentiation, and angiogenesis are currently being elucidated. However, underlying mechanisms that drive breast cancer progression and drug resistance are still poorly understood. As we discuss here in detail, the Notch signaling pathway is an important regulatory component of normal breast development, cell fate of normal breast stem cells, and proliferation and survival of breast cancer initiating cells. Notch exerts a wide range of critical effects through a canonical pathway where it is expressed as a type I membrane precursor heterodimer followed by at least two subsequent cleavages induced by ligand engagement to ultimately release an intracellular form to function as a transcriptional activator. Notch and its ligands are overexpressed in breast cancer, and one method of effectively blocking Notch activity is preventing its cleavage at the cell surface with γ-secretase inhibitors. In the context of Notch signaling, the application of clinically relevant anti-Notch drugs in treatment regimens may contribute to novel therapeutic interventions and promote more effective clinical response in women with breast cancer.

Indexed as

breast cancercombination breast cancer therapysignaling pathwaysγ-secretaseγ-secretase inhibitors

Identifiers

PMID23901284
PMCPMC3726525

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.