Evidence map›Paper›PMID 26337976›Full record

ArticleJournal of orthopaedic surgery and research2015

Identification of genes associated with methotrexate resistance in methotrexate-resistant osteosarcoma cell lines.

Xiao-Rong Yang, Yan Xiong, Hong Duan, Ren-Rong Gong

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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  6. Novel application of single-cell next-generation sequencing for determination of intratumoral heterogeneity of canine osteosarcoma cell lines.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021
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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

4 authors at 2 institutions in 1 country.

Xiao-Rong YangDepartment of Operation Room, West China Hospital, Sichuan University, No 37, Guo Xue Lane, Chengdu, Sichuan, 610041, People's Republic of China. jafsdfdfs@163.com.
Yan XiongDepartment of Orthopedics, West China Hospital, Sichuan University, No 37, Guo Xue Lane, Chengdu, Sichuan, 610041, People's Republic of China. gfsgrtsgtfdg@126.com.
Hong DuanDepartment of Orthopedics, West China Hospital, Sichuan University, No 37, Guo Xue Lane, Chengdu, Sichuan, 610041, People's Republic of China. hongduanduan223@163.com.
Ren-Rong GongDepartment of Operation Room, West China Hospital, Sichuan University, No 37, Guo Xue Lane, Chengdu, Sichuan, 610041, People's Republic of China. dfvcgrsgt@163.com.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to better understand the mechanisms underlying methotrexate (MTX)-resistance in osteosarcoma.

methodsThe raw transcription microarray data GSE16089 collected from three MTX-sensitive osteosarcoma (Saos-2) cell samples and three MTX-resistant osteosarcoma (Saos-2) cell samples were downloaded from Gene Expression Omnibus. After data processing, the differentially expressed genes (DEGs) were identified. Next, DEGs were submitted to DAVID for functional annotation based on the GO (Gene Ontology) database, as well as pathway enrichment analysis based on the KEGG (Kyoto Encyclopedia of Genes and Genomes) database. Transcription factors (TFs) and tumor-associated genes (TAGs) were identified with reference to TRANSFAC and TAG, and TSGene databases, respectively. The protein-protein interaction (PPI) network of the gene-encoded products was constructed, and the subnetwork with the highest score was also detected using Search Tool for the Retrieval of Interacting Genes and BioNet package.

resultsA total of 690 up-regulated genes and down-regulated 626 genes were identified. Up-regulated DEGs (including AARS and PARS2) were associated to transfer RNA (tRNA) aminoacylation while down-regulated DEGs (including AURKA, CCNB1, CCNE2, CDK1, and CENPA) were correlated with mitotic cell cycle. Totally, 13 TFs (including HMGB2), 13 oncogenes (including CCNA2 and AURKA), and 19 tumor suppressor genes (TSGs) (including CDKN2C) were identified from the down-regulated DEGs. Ten DEGs, including nine down-regulated genes (such as AURKA, CDK1, CCNE2, and CENPA) and one up-regulated gene (GADD45A), were involved in the highest score subnetwork.

conclusionAARS, AURKA, AURKB, CENPA, CCNB1, CCNE2, and CDK may contribute to MTX resistance via aminoacyl-tRNA biosynthesis pathway, cell cycle pathway, or p53 signaling pathway.

Indexed as

Databases, GeneticBone NeoplasmsCell Line, TumorDrug Resistance, NeoplasmHumansMethotrexateOsteosarcomaProtein Interaction MapsMethotrexate

Identifiers

PMID26337976
PMCPMC4558632
OpenAlexW2099903732

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.