Evidence map›Paper›PMID 29882766›Full record

ReviewInternational journal of molecular sciences2018

Proposed Molecular and miRNA Classification of Gastric Cancer.

Lara Alessandrini, Melissa Manchi, Valli De Re, Riccardo Dolcetti, Vincenzo Canzonieri

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
  7. Dihydrotestosterone-androgen receptor signaling suppresses EBV-positive gastric cancer through DNA demethylation-mediated viral reactivation.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
    Article
  8. Review
  9. FAM117A and PIGU regulate the trilogy of gastric carcinogenesis.Computational and structural biotechnology journal · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
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  15. Article
  16. Review
  17. Article
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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

5 authors.

Lara AlessandriniPathology, IRCCS CRO National Cancer Institute, 33081 Aviano, Italy. lara.alessandrini@cro.it.
Melissa ManchiPathology, IRCCS CRO National Cancer Institute, 33081 Aviano, Italy. manchi.melissa@gmail.com.
Valli De ReImmunopathology and Cancer Biomarkers, IRCCS CRO National Cancer Institute, 33081 Aviano, Italy. vdere@cro.it.ORCID 0000-0001-6100-9373
Riccardo DolcettiThe University of Queensland Diamantina Institute, Translational Research Institute, Woolloongabba, QLD 4102, Australia. r.dolcetti@uq.edu.au.ORCID 0000-0003-1625-9853
Vincenzo CanzonieriPathology, IRCCS CRO National Cancer Institute, 33081 Aviano, Italy. vcanzonieri@cro.it.ORCID 0000-0001-6010-0976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is a common malignant neoplasm worldwide and one of the main cause of cancer-related deaths. Despite some advances in therapies, long-term survival of patients with advanced disease remains poor. Different types of classification have been used to stratify patients with GC for shaping prognosis and treatment planning. Based on new knowledge of molecular pathways associated with different aspect of GC, new pathogenetic classifications for GC have been and continue to be proposed. These novel classifications create a new paradigm in the definition of cancer biology and allow the identification of relevant GC genomic subsets by using different techniques such as genomic screenings, functional studies and molecular or epigenetic characterization. An improved prognostic classification for GC is essential for the development of a proper therapy for a proper patient population. The aim of this review is to discuss the state-of-the-art on combining histological and molecular classifications of GC to give an overview of the emerging therapeutic possibilities connected to the latest discoveries regarding GC.

Indexed as

AnimalsEpigenesis, GeneticGene Expression Regulation, NeoplasticHumansMicroRNAsMicrosatellite InstabilityMutationSignal TransductionStomach NeoplasmsTranscriptomeMicroRNAsEBV infectiongastric cancergene expression profilegene mutationmicrosatellitemiRNAmolecular gastric cancer subtypepreclinical models

Identifiers

PMID29882766
PMCPMC6032377

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.