Evidence map›Paper›PMID 39467632›Full record

ArticleCancer genomics & proteomics

Gene Expression Profiling Regulated by lncRNA H19 Using Bioinformatic Analyses in Glioma Cell Lines.

Yeonsoo Chae, Jungwook Roh, Mijung Im, Wonyi Jang, Boseong Kim, Jihoon Kang, Buhyun Youn, Wanyeon Kim

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Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

8 authors.

Yeonsoo ChaeDepartment of Science Education, Korea National University of Education, Cheongju-si, Republic of Korea.
Jungwook RohDepartment of Science Education, Korea National University of Education, Cheongju-si, Republic of Korea.
Mijung ImDepartment of Science Education, Korea National University of Education, Cheongju-si, Republic of Korea.
Wonyi JangDepartment of Science Education, Korea National University of Education, Cheongju-si, Republic of Korea.
Boseong KimDepartment of Science Education, Korea National University of Education, Cheongju-si, Republic of Korea.
Jihoon KangDepartment of Hematology and Medical Oncology, Winship Cancer Institute of Emory, Emory University School of Medicine, Atlanta, GA, U.S.A.
Buhyun YounDepartment of Biological Sciences, Pusan National University, Busan, Republic of Korea bhyoun72@pusan.ac.kr.
Wanyeon KimDepartment of Science Education, Korea National University of Education, Cheongju-si, Republic of Korea wykim82@knue.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimGlioma, the most common type of primary brain tumor, is characterized by high malignancy, recurrence, and mortality. Long non-coding RNA (lncRNA) H19 is a potential biomarker for glioma diagnosis and treatment due to its overexpression in human glioma tissues and its involvement in cell division and metastasis regulation. This study aimed to identify potential therapeutic targets involved in glioma development by analyzing gene expression profiles regulated by H19. MATERIALS AND

methodsTo elucidate the role of H19 in A172 and U87MG glioma cell lines, cell counting, colony formation, and wound healing assays were conducted. RNA-seq data analysis and bioinformatics analyses were performed to reveal the molecular interactions of H19.

resultsCell-based experiments showed that elevated H19 levels were related to cancer cell survival, proliferation, and migration. Bioinformatics analyses identified 2,084 differentially expressed genes (DEGs) influenced by H19 which are involved in cancer progression. Specifically, ANXA5, CLEC18B, RAB42, CXCL8, OASL, USP18, and CDCP1 were positively correlated with H19 expression, while CSDC2 and FOXO4 were negatively correlated. These DEGs were predicted to function as oncogenes or tumor suppressors in gliomas, in association with H19.

conclusionThese findings highlight H19 and its associated genes as potential diagnostic and therapeutic targets for gliomas, emphasizing their clinical significance in patient survival.

Indexed as

Computational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGliomaRNA, Long NoncodingBiomarkers, TumorBrain NeoplasmsCell Line, TumorCell MovementCell ProliferationHumansBiomarkers, TumorH19 long non-coding RNARNA, Long NoncodingBioinformaticsgliomaH19long non-coding RNARNA-seq

Identifiers

PMID39467632
PMCPMC11534032

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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.