Evidence map›Paper›PMID 39958058›Full record

ArticleCureus2025

The Multifaceted Role of lncRNA GAS5: A Pan-Cancer Analysis of Its Diagnostic, Prognostic, and Therapeutic Potential.

Asim Eisa, Safa Yousif, Mustafa A Abo-Alella, Shima Awad, Hind Tarig I Yousif, Tasneem Dafaalla, Akif Dldom, Mohamed Alfaki

Abstract read
In one paragraph

Article in Cureus, 2025. 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

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

3 citing papers in PubMed.

  1. Review
  2. Plasma expression of long non-coding RNAFrontiers in oncology · 2026
    Article
  3. Radiotherapy effects on the ceRNA network in high-risk prostate cancer patients.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
    Article
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.

Asim EisaGenetics, University of Bahri, Khartoum, SDN.
Safa YousifInternal Medicine, University of Bahri, Khartoum, SDN.
Mustafa A Abo-AlellaPathology and Laboratory Medicine, University of Bahri, Khartoum, SDN.
Shima AwadEpidemiology and Public Health, Tropical Medicine Research Institute, National Center for Research, Khartoum, SDN.
Hind Tarig I YousifInternal Medicine, Nile Valley University, Khartoum, SDN.
Tasneem DafaallaPediatrics, Karary University, Omdurman, SDN.
Akif DldomLaboratory Medicine, University of Port Sudan Ahlia, Port Sudan, SDN.
Mohamed AlfakiResearch, Sidra Medicine, Doha, QAT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCancer is a significant global health problem characterized by increased incidence and large disparities in outcomes. There is a compelling need to identify novel biomarkers to enhance early detection, prognosis, and tailored therapies. Growth arrest-specific transcript 5 (GAS5) is a long noncoding RNA (lncRNA) with potential as a tumor suppressor in a subset of cancers. Its roles in the diagnosis, prognosis, and therapy across cancer types remain underexplored.

methodsIn this study, a pan-cancer comprehensive analysis of the expression status of GAS5 was conducted using various bioinformatics tools and genomic datasets, including Tumor Immune Estimation Resource (TIMER), Gene Expression Profiling Interactive Analysis (GEPIA), University of Alabama at Birmingham Cancer Data Analysis Portal (UALCAN), and Gene Expression Omnibus (GEO). The expression of GAS5 in different types of cancers was determined and then evaluated for its correlation with clinicopathological parameters, immune cell infiltration, survival outcome, and the methylation status of its promoter. Additionally, the Kaplan-Meier plotter (KMP) was used for overall survival assessment, and the cBioPortal tool was applied for genetic alteration and radiation therapy response assessment. Functional analyses were performed using data from the Long Noncoding RNA Cancer Arrays (lnCAR) database, which included coexpression networks, competing endogenous RNA (ceRNA) interactions, and pathway enrichment.

resultsOur analysis, based on three large datasets, showed that GAS5 was significantly upregulated mainly in cholangiocarcinoma (CHOL), kidney renal clear cell carcinoma (KIRC), and liver hepatocellular carcinoma (LIHC) (p < 0.05). On the contrary, it was downregulated in breast invasive carcinoma (BRCA), kidney chromophobe (KICH), and uterine corpus endometrial carcinoma (UCEC). High GAS5 expression was associated with poor overall survival in LIHC and KIRC (p < 0.05). Promoter hypomethylation was identified as a key regulatory mechanism in CHOL, KIRC, and LIHC (p < 0.05). GAS5 expression exhibited positive correlations with immune cell infiltration (e.g., CD4+ T cells, CD8+ T cells, and macrophages) in LIHC and negative correlations (e.g., B cells, dendritic cells) in KIRC. Our network analysis has established GAS5 as a ceRNA that interacts with 36 miRNAs and 95 protein-coding genes, affecting pathways like metabolism, mitogen-activated protein kinase (MAPK) signaling, and cytokine-cytokine receptor interactions in LIHC (p < 0.05). The genetic alterations may have an impact on GAS5 expression levels and how it functions during radiation treatment. Furthermore, the epigenetic control of GAS5 by DNA methylation suggests possible targets for personalized treatment methods.

conclusionThis comprehensive analysis across various cancers offers a significant foundation for GAS5 as a potential diagnostic and prognostic biomarker, especially prominent in LIHC, with additional relevance in KIRC. Identification of tissue-specific regulatory mechanisms and correlations with immune cells opens new perspectives into the context-dependent functionality of GAS5. These findings highlight the potential of GAS5 for developing targeted therapies and advancing personalized medicine, paving the way for future research into GAS5-based treatment strategies in cancer.

Indexed as

bioinformaticsbiomarkercancerexpression networkgas5lncrnapan-cancer analysis

Identifiers

PMID39958058
PMCPMC11830420

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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.