Evidence map›Paper›PMID 37965447›Full record

ArticleFrontiers in oncology2023

Identification of prognosis-related lncRNAs and cell validation in lung squamous cell carcinoma based on TCGA data.

Yishuang Cui, Yanan Wu, Mengshi Zhang, Yingze Zhu, Xin Su, Wenyue Kong, Xuan Zheng, Guogui Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 18% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Yishuang CuiSchool of Public Health, North China University of Science and Technology, Department of Hebei Key Laboratory of Medical-Industrial Integration Precision Medicine, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
Yanan WuSchool of Public Health, North China University of Science and Technology, Department of Hebei Key Laboratory of Medical-Industrial Integration Precision Medicine, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
Mengshi ZhangSchool of Public Health, North China University of Science and Technology, Department of Hebei Key Laboratory of Medical-Industrial Integration Precision Medicine, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
Yingze ZhuSchool of Public Health, North China University of Science and Technology, Department of Hebei Key Laboratory of Medical-Industrial Integration Precision Medicine, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
Xin SuSchool of Public Health, North China University of Science and Technology, Department of Hebei Key Laboratory of Medical-Industrial Integration Precision Medicine, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
Wenyue KongSchool of Public Health, North China University of Science and Technology, Department of Hebei Key Laboratory of Medical-Industrial Integration Precision Medicine, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
Xuan ZhengSchool of Public Health, North China University of Science and Technology, Department of Hebei Key Laboratory of Medical-Industrial Integration Precision Medicine, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
Guogui SunDepartment of Hebei Key Laboratory of Medical-Industrial Integration Precision Medicine, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
North China University of Science and Technology · CNNorth China University of Science and Technology Affiliated Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To discern long non-coding RNAs (lncRNAs) with prognostic relevance in the context of lung squamous cell carcinoma (LUSC), we intend to predict target genes by leveraging The Cancer Genome Atlas (TCGA) repository. Subsequently, we aim to investigate the proliferative potential of critical lncRNAs within the LUSC milieu. Methods: DESeq2 was employed to identify differentially expressed genes within the TCGA database. Following this, we utilized both univariate and multivariate Cox regression analyses to identify lncRNAs with prognostic relevance. Noteworthy lncRNAs were selected for validation in cell lines. The intracellular localization of these lncRNAs was ascertained through nucleocytoplasmic isolation experiments. Additionally, the impact of these lncRNAs on cellular proliferation, invasion, and migration capabilities was investigated using an Antisense oligonucleotides (ASO) knockdown system. Results: Multivariate Cox regression identified a total of 12 candidate genes, consisting of seven downregulated lncRNAs (BRE-AS1, CCL15-CCL14, DNMBP-AS1, LINC00482, LOC100129034, MIR22HG, PRR26) and five upregulated lncRNAs (FAM83A-AS1, LINC00628, LINC00923, LINC01341, LOC100130691). The target genes associated with these lncRNAs exhibit significant enrichment within diverse biological pathways, including metabolic processes, cancer pathways, MAPK signaling, PI3K-Akt signaling, protein binding, cellular components, cellular transformation, and other functional categories. Furthermore, nucleocytoplasmic fractionation experiments demonstrated that LINC00923 and LINC01341 are predominantly localized within the cellular nucleus. Subsequent investigations utilizing CCK-8 assays and colony formation assays revealed that the knockdown of LINC00923 and LINC01341 effectively suppressed the proliferation of H226 and H1703 cells. Additionally, transwell assays showed that knockdown of LINC00923 and LINC01341 significantly attenuated the invasive and migratory capacities of H226 and H1703 cells. Conclusion: This study has identified 12 candidate lncRNA associated with prognostic implications, among which LINC00923 and LINC01341 exhibit potential as markers for the prediction of LUSC outcomes.

Indexed as

LINC00923LINC01341lncRNALUSCTCGA

Identifiers

PMID37965447
PMCPMC10642190
OpenAlexW4388262676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.