Evidence map›Paper›PMID 37670949›Full record

ReviewFrontiers in pharmacology2023

The landscape of lncRNAs in gastric cancer: from molecular mechanisms to potential clinical applications.

Jéssica Manoelli Costa Silva, Eliel Barbosa Teixeira, Ronald Matheus da Silva Mourão, Rafaella Sousa Ferraz, Fabiano Cordeiro Moreira, Paulo Pimentel de Assumpção, Danielle Queiroz Calcagno

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. ST8SIA6-AS1, a novel lncRNA star in liver cancer.Frontiers in cell and developmental biology · 2024
    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

7 authors at 1 institution in 1 country.

Jéssica Manoelli Costa SilvaNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belem, Pará, Brazil.
Eliel Barbosa TeixeiraNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belem, Pará, Brazil.
Ronald Matheus da Silva MourãoNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belem, Pará, Brazil.
Rafaella Sousa FerrazLaboratório de Genética Humana e Médica, Universidade Federal do Pará, Belem, Pará, Brazil.
Fabiano Cordeiro MoreiraNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belem, Pará, Brazil.
Paulo Pimentel de AssumpçãoNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belem, Pará, Brazil.
Danielle Queiroz CalcagnoNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belem, Pará, Brazil.
Universidade Federal do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is a highly prevalent and deadly malignant neoplasm worldwide. Currently, long non-coding RNAs (lncRNAs) have recently been identified as crucial regulators implicated in GC development and progression. Dysregulated expression of lncRNAs is commonly associated with enhanced tumor migration, invasiveness, and therapy resistance, highlighting their potential as promising targets for clinical applications. This review offers a comprehensive historical overview of lncRNAs in GC, describes the molecular mechanisms, and discusses the prospects and challenges of establishing lncRNAs as precision biomarkers.

Indexed as

biomarkersgastric cancergastric carcinogenesishistorical overviewlong non-coding RNAsmolecular mechanisms

Identifiers

PMID37670949
PMCPMC10476871
OpenAlexW4386032209

What Socratic 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 Socratic graph.