Evidence map›Paper›PMID 39525623›Full record

ArticleFrontiers in oncology2024

Identification of lncRNA dual targeting PD-L1 and PD-L2 as a novel prognostic predictor for gastric cancer.

Li-Na Zhang, Jiong-Yu Chen, Yu-Xin Liu, Yue Zhang, Liang-Li Hong, Xin-Xin Li, Shu-Hui Liu, Shu-Qin Chen, Lin Peng, Yi-Teng Huang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  11. The influence ofFrontiers in immunology · 2025
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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

10 authors.

Li-Na Zhang *Department of Pathology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Jiong-Yu Chen *Central Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Yu-Xin LiuHealth Care Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Yue ZhangHealth Care Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Liang-Li HongDepartment of Pathology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Xin-Xin LiDepartment of General Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Shu-Hui LiuDepartment of Pathology, Shantou University Medical College, Shantou, Guangdong, China.
Shu-Qin ChenBiological Specimen Repository, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Lin PengCentral Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Yi-Teng HuangHealth Care Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although breakthroughs have been achieved in gastric cancer (GC) therapy with immune checkpoint inhibitors (ICIs) targeting programmed death-1 (PD-1) and programmed death-ligand 1 (PD-L1), the acquisition of high response rate remains a huge challenge for clinicians. It is imperative to identify novel biomarkers for predicting response to immunotherapy and explore alternative therapeutic strategy for GC. Methods: The transcriptomic profiles and clinical information of GC patients from The Cancer Genome Atlas (TCGA)-stomach adenocarcinoma (STAD) database was used to screen differentially expressed lncRNAs between the tumor specimens and the paracancerous tissues. The TargetScan, miRDB and miRcode database were then utilized to construct competing endogenous RNA (ceRNA) networks and identify pivotal lncRNAs. An independent dataset from GEO (GSE70880) and 23 pairs of GC specimens of our cohort were subsequently performed for external validity. The relationship between clinical variables and gene expression were evaluated by Kruskal-wallis test and Wilcoxon signed-rank. The prognostic value of the candidate genes was assessed using Kaplan-Meier analysis and Cox regression models. CIBERSORT and Gene set enrichment analysis (GSEA) were used to determine immune cell infiltration. Gastric adenocarcinoma AGS cells and human embryonic kidney 293T (HEK293T) cells with knockdown of LINC01094 were generated by siRNA transfection, followed by detecting the alteration of the target miRNA and PD-L1/PD-L2 by RT-qPCR. Besides, the interaction between lncRNA and the miRNA-PD-L1/PD-L2 axis were verified by dual luciferase reporter assay. Results: Twenty-two intersecting lncRNAs were identified to be PD-L1/PD-L2-related lncRNAs and LINC01094-miR-17-5p-PD-L1/PD-L2 was constructed as a potential ceRNA network. LINC01094 was increased in tumor specimens than adjacent normal samples and was positively associated with advanced tumor stages and EBV and MSI status. Furthermore, LINC01094 expression was an independent risk factor for poor overall survival (OS) in GC patients. CD8 Conclusion: LINC01094 dually regulates the expression of PD-L1 and PD-L2 and shapes the immunosuppressive tumor microenvironment via sponging miR-17-5p. LINC01094 may serve as a potential prognostic predictor and therapeutic target in GC.

Indexed as

gastric carcinomaLINC01094PD-L1PD-L2tumor immune microenvironment

Identifiers

PMID39525623
PMCPMC11544118

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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.