Evidence map›Paper›PMID 30069449›Full record

ReviewAnnals of translational medicine2018

Current advances of targeting HGF/c-Met pathway in gastric cancer.

Aristomenis Anestis, Ilianna Zoi, Michalis V Karamouzis

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. siRNA-based strategies to combat drug resistance in gastric cancer.Medical oncology (Northwood, London, England) · 2024
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  9. Evaluation of [Pharmaceutics · 2023
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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.

Aristomenis AnestisMolecular Oncology Unit, Department of Biological Chemistry, 'Laiko' General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Ilianna ZoiMolecular Oncology Unit, Department of Biological Chemistry, 'Laiko' General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Michalis V KaramouzisMolecular Oncology Unit, Department of Biological Chemistry, 'Laiko' General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the advances in systemic chemotherapy, gastric adenocarcinoma (GC) remains the third most common cause of cancer-related deaths with poor prognosis. The heterogeneity of GC indicates that novel biomarkers should be established in order to further classify tumors and develop individual targeted therapies. High-quality preclinical and clinical research has demonstrated that growth factor (HGF)-hepatocyte growth factor receptor (c-Met) pathway plays a pivotal role on the growth, survival and invasiveness of GC. In particular, aberrant activation of HGF/c-Met signaling pathway has been associated with poor clinical outcomes, suggesting the therapeutic potential of c-Met. This has stimulated the development and evaluation of a number of c-Met targeted agents in an advance disease setting. In this review, we summarize the current state of the art in the advances on the inhibition of c-Met pathway, with particular emphasis on the clinical testing of c-Met targeted therapeutic agents. Furthermore, we discuss the challenges facing the incorporation of c-Met targeted agents in randomized trials, with the idea that the definition of the appropriate genetic and molecular context for the use of these agents remains the priority.

Indexed as

c-MetGastric cancerhepatocyte growth factor (HGF)molecular targeted therapypersonalized medicine

Identifiers

PMID30069449
PMCPMC6046293

What OpenQuestion holds

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Registered trials

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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.