Evidence map›Paper›PMID 25336975›Full record

ReviewOncoTargets and therapy2014

Profile of trebananib (AMG386) and its potential in the treatment of ovarian cancer.

Michalis Liontos, Maria Lykka, Meletios-Athanasios Dimopoulos, Aristotle Bamias

Open access · goldAbstract readReview
In one paragraph

Review in OncoTargets and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Molecular Pathways: Deciphering Mechanisms of Resistance to Macrophage-Targeted Therapies.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Review
  5. Article
  6. Article
  7. Review
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

4 authors at 2 institutions in 1 country.

Michalis LiontosOncology Department, Therapeutics Clinic, Medical School, University of Athens, Athens, Greece.
Maria LykkaOncology Department, Therapeutics Clinic, Medical School, University of Athens, Athens, Greece.
Meletios-Athanasios DimopoulosOncology Department, Therapeutics Clinic, Medical School, University of Athens, Athens, Greece.
Aristotle BamiasOncology Department, Therapeutics Clinic, Medical School, University of Athens, Athens, Greece.
National and Kapodistrian University of Athens · GRAthens Medical Center · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Angiogenesis has been implicated in ovarian cancer pathogenesis. Bevacizumab, an anti-vascular endothelial growth factor monoclonal antibody, has recently been incorporated in ovarian cancer treatment in combination with chemotherapy both in a frontline setting and in disease recurrence. However, resistance eventually develops and treatment with bevacizumab is associated with increased risk for toxicities such as thromboembolic and hemorrhagic events, gastrointestinal perforation, and impaired wound healing, suggesting the need for new therapeutic approaches. Targeting of the angiopoietins/Tie2 pathway has gained accumulating interest during the last few years as a strategy to overcome bevacizumab resistance and toxicities. Trebananib is a first-in-class peptibody that inhibits angiopoietin 1 and 2 interaction with their receptor Tie2. The molecular profile of this agent, the preclinical data, and clinical studies demonstrating its efficacy in ovarian cancer are discussed in this review.

Indexed as

angiopoietinsovarian cancertrebananib

Identifiers

PMID25336975
PMCPMC4199819
OpenAlexW2033622462

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.