Evidence map›Paper›PMID 40442738›Full record

ArticleHereditas2025

Unraveling lncRNA TRG-AS1: a novel biomarker for poor prognosis of gastric cancer and key to regulating malignant behaviors by targeting miR-873-5p.

Miao Hu, Tiesong Zhang, Yuzhen Ma, Huiling Wang, Suping Hou

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Article in Hereditas, 2025. 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

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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

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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

2 citing papers in PubMed.

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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

5 authors.

Miao Hu *Cancer Treatment Center, Affiliated Hospital of Beihua University, Jilin, 132011, China.
Tiesong Zhang *Department of Cardiothoracic Surgery, The Fourth Medical Center, Chinese PLA General Hospital, Beijing, 100048, China.
Yuzhen MaDepartment of Endoscopic Diagnosis and Treatment, Daqing Oil Field General Hospital, Daqing, 163001, China.
Huiling WangDepartment of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, 450003, China.
Suping HouPathology, Third Hospital of Hebei Medical University, No. 139, Ziqiang Road, Shijiazhuang, Hebei, 050051, China. Supinghoudr@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND STUDY

aimsTo alleviate patient stress and advance gastric cancer research, this study aims to investigate the potential association between aberrant expression of TRG-AS1 and gastric cancer, and to examine its potential impact on the biological behaviors of gastric cancer cells. MATERIALS AND

methodsTo find out how TRG-AS1 is expressed in the tissues and cells of gastric cancer, real-time fluorescence quantitative PCR was employed. The connection between TRG-AS1 and pathological features, as well as its prognostic importance, were examined using the Chi-square test and Cox regression analysis. The dual luciferase reporting assay was utilized to confirm the targeting of TRG-AS1 and miR-873-5p. Transwell assay and CCK-8 test were used to identify the roles that TRG-AS1 plays in cell metastasis and proliferation, respectively.

resultsResearch has revealed a downregulation of TRG-AS1 in the tissues and cells, which is strongly correlated with the differentiation, TNM stage, lymph node metastasis, depth of invasion, and patient survival rate in gastric cancer. The binding sites exists between miR-873-5p and TRG-AS1, and TRG-AS1 has the ability to negatively control miR-873-5p by acting as a competitive endogenous RNA. When TRG-AS1 was overexpressed, the malignant behavioral activity of gastric cancer cells was significantly decreased; however, the inhibitory effect was reversed when miR-873-5p was overexpressed.

conclusionsTRG-AS1 is a potential predictor of poor prognosis in gastric cancer patients and targets miR-873-5p to inhibit the progression of cancer.

Indexed as

Biomarkers, TumorMicroRNAsRNA, Long NoncodingStomach NeoplasmsAgedCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisBiomarkers, TumorMicroRNAsMIRN873 microRNA, humanRNA, Long NoncodingCellular processesGastric cancermiR-873-5pPrognosisTRG-AS

Identifiers

PMID40442738
PMCPMC12121179

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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.