Evidence map›Paper›PMID 40148389›Full record

ArticleScientific reports2025

LINC00894, YEATS2-AS1, and SUGP2 genes as novel biomarkers for N0 status of lung adenocarcinoma.

Marzyeh Alipour, Mehdi Moghanibashi, Sirous Naeimi, Parisa Mohamadynejad

Abstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

4 authors.

Marzyeh AlipourDepartment of Genetics, Colleague of Science, Kazerun Branch, Islamic Azad University, P.O. Code 7319866451, Kazerun, Iran.ORCID http://orcid.org/0000-0002-9798-1778
Mehdi MoghanibashiDepartment of Genetics, Faculty of Basic Sciences, Kazerun Branch, Islamic Azad University, P.O. Code 7319866451, Kazerun, Iran. mehdimoghani@yahoo.com.ORCID http://orcid.org/0000-0003-0023-9399
Sirous NaeimiDepartment of Biology, Zand Institute of Higher Education, Shiraz, Iran. s.naiemi@zand.ac.ir.ORCID http://orcid.org/0000-0001-6991-7309
Parisa MohamadynejadDepartment of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.ORCID http://orcid.org/0000-0002-1343-9069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on genes affecting tumors without lymph node metastasis is limited, hence this study employed both bioinformatic and experimental approaches to identify specific genes associated with lung cancer adenocarcinoma (LUAD) before lymph node metastasis occurs. Expression profiles of mRNAs and lncRNAs and LUAD clinical data were downloaded from the Cancer Genome Atlas (TCGA) using R software to identify differentially expressed genes (DEGs) associated with N0 and N + status. TargetScan, miRTarBase, and miRDB databases were used to identify interactions between miRNAs and mRNAs. The DIANA database and lncBase tool were used to find the association between lncRNA and miRNA. After selecting some genes, the expression of candidate genes was confirmed by real-time RT-PCR technique. Following the knockdown LINC00894 gene using the shRNA technique, its effect on invasion, migration, and apoptosis in the calu-3 cell line was investigated. In total, we found 321 specific DEGs not only in N0 vs. normal but also in N0 Vs. N + in LUAD, most of which were lncRNA and we identified a ceRNA network containing nine lncRNAs with the highest degree of connectivity. Among them, in addition to bioinformatic analyses, LINC00894 and YEATS2-AS1 were significantly increased in tumor tissues compared to normal tissues (P = 0.0001). also, SUGP2 that was shared in both lncRNA-related ceRNA subnetworks was significantly upregulated (P = 0.0001). Additionally, following the knockdown of LINC00894 in Calu-3 cell line, a significant decrease in migration and invasion was observed, but early apoptosis was significantly increased in the shLINC00894(48 h) group (P = 0.007). The findings of the present study show that lncRNAs play an important role in the N0 status of LUAD. Moreover, LINC00894, YEATS2-AS1, and SUGP2 can act as biomarkers in patients with N0 LUAD.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorLung NeoplasmsRNA, Long NoncodingApoptosisCell Line, TumorCell MovementComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLymphatic MetastasisMaleBiomarkers, TumorRNA, Long NoncodingCeRNA networkLINC00894Lung adenocarcinomaN0 lymph node metastasisSUGP2YEATS2-AS1

Identifiers

PMID40148389
PMCPMC11950442

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.