Evidence map›Paper›PMID 39725668›Full record

SynthesisCancer reports (Hoboken, N.J.)2024

A Comparative Meta-Analysis on the Association of lncRNAs MALAT1, HOTAIR, and AFAP1-AS1 With the Risk of Developing Lymph Node Metastasis in Lung Cancer.

Anha Tasnim, Afra Anjum Sumaiya, Abdullah Al Noman, Anika Tahsin, Abdullah Al Saba, Rubaiat Ahmed, Tahirah Yasmin, A H M Nurun Nabi

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Cancer reports (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Review
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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

8 authors.

Anha TasnimLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
Afra Anjum SumaiyaLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
Abdullah Al NomanLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.ORCID 0009-0000-6714-0938
Anika TahsinLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
Abdullah Al SabaLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
Rubaiat AhmedLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.ORCID 0000-0001-6096-0562
Tahirah YasminLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
A H M Nurun NabiLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.ORCID 0000-0002-0504-6556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies have demonstrated the significance of long noncoding RNA (lncRNA) in the development of cancer metastasis. The expression levels of many lncRNAs are elevated in metastatic lung cancer patients compared to non-metastatic lung cancer patients.

objectivesThe primary objective of the study was to investigate the association between the expression levels of three lncRNAs (MALAT1, HOTAIR, and AFAP1-AS1) and lymph node metastasis (LNM) of lung cancer.

methodsCell Press, PubMed, SpringerLink, Web of Science, and Google Scholar were explored to perform the literature search. After screening 1862 articles, 66 English-language articles were selected based on the inclusion and exclusion criteria. From those articles, 17 publications comprising 1622 lung cancer patients were chosen for statistical analyses as well as quality assessment tests.

resultsForest plot analysis revealed that there was a significant difference in the incidence of LNM between the high and low MALAT1 expression groups (OR = 3.21, 95% CI: 1.34-7.67; random effects model). Significant differences were also observed in the incidence of LNM between patients with high and low HOTAIR expression levels (OR = 4.17, 95% CI: 1.47-11.82; random effects model). The expression level of AFAP1-AS1 was found to be significantly associated with LNM in lung cancer (OR = 2.31, 95% CI: 1.39-3.85, random effects model). Additional analysis from GEPIA and GEO databases revealed that the expression levels of these lncRNAs vary according to the type of tumor tissue, organ of metastasis, and cancer stage. However, these databases show that the result for AFAP1-AS1 is the most aligned with the meta-analysis's findings. Furthermore, several quality assessment tests showed that the AFAP1-AS1 studies are more reliable compared to the studies of other lncRNAs.

conclusionThis study suggested that LNM in lung cancer patients is associated mostly with an elevated AFAP1-AS1 lncRNA level among the pool of three lncRNAs analyzed. Before these results can be implemented in a clinical setting, it is essential to conduct further validation and undertake comprehensive analysis to ensure robustness and reliability.

Indexed as

Lung NeoplasmsLymphatic MetastasisRNA, Long NoncodingBiomarkers, TumorGene Expression Regulation, NeoplasticHumansAFAP1-AS1 long noncoding RNA, humanBiomarkers, TumorHOTAIR long untranslated RNA, humanMALAT1 long non-coding RNA, humanRNA, Long NoncodingAFAP1‐AS1HOTAIRlung cancerlymph node metastasisMALAT‐1

Identifiers

PMID39725668
PMCPMC11671231

What Socratic 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 Socratic graph.