Evidence map›Paper›PMID 37746646›Full record

ReviewWorld journal of gastrointestinal oncology2023

Metastasis-associated lung adenocarcinoma transcript 1 molecular mechanisms in gastric cancer progression.

Daniel Mateus de Oliveira Batista, Jéssica Manoelli Costa da Silva, Carolina de Oliveira Gigek, Marília de Arruda Cardoso Smith, Paulo Pimentel de Assumpção, Danielle Queiroz Calcagno

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of gastrointestinal oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Daniel Mateus de Oliveira BatistaNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém 66073-000, Pará, Brazil.
Jéssica Manoelli Costa da SilvaNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém 66073-000, Pará, Brazil.
Carolina de Oliveira GigekDepartamento de Patologia, Universidade Federal de São Paulo, São Paulo 04023-062, São Paulo, Brazil.
Marília de Arruda Cardoso SmithDisciplina de Genética,Departamento de Morfologia e Genética, Universidade Federal de São Paulo, São Paulo 04023-900, São Paulo, Brazil.
Paulo Pimentel de AssumpçãoNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém 66073-000, Pará, Brazil.
Danielle Queiroz CalcagnoNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém 66073-000, Pará, Brazil danicalcagno@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) remains among the most common cancers worldwide with a high mortality-to-incidence ratio. Accumulated evidence suggests that long noncoding RNAs (lncRNAs) are involved in gastric carcinogenesis. These transcripts are longer than 200 nucleotides and modulate gene expression at multiple molecular levels, inducing or inhibiting biological processes and diseases. Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) is one of the best-studied lncRNAs with comprehensive actions contributing to cancer progression. This lncRNA regulates gene expression at the transcriptional and posttranscriptional levels through interactions with microRNAs and proteins. In the present review, we discussed the molecular mechanism of MALAT1 and summarized the current knowledge of its expression in GC. Moreover, we highlighted the potential use of MALAT1 as a biomarker, including liquid biopsy.

Indexed as

Gastric carcinogenesisLiquid biopsyLong noncoding RNAPosttranscriptional levelsPrognostic biomarkerTranscriptional levels

Identifiers

PMID37746646
PMCPMC10514724

What OpenQuestion holds

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LicenceCC BY-NC
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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.