Evidence map›Paper›PMID 33499774›Full record

ArticleTechnology in cancer research & treatment

MYBPC2 and MYL1 as Significant Gene Markers for Rhabdomyosarcoma.

Zihang Chen, Xing-Yu Li, Peng Guo, Dong-Lai Wang

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  9. Single-Cell RNA Sequencing Reveals the Cellular Landscape ofInternational journal of molecular sciences · 2024
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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 3 institutions in 1 country.

Zihang ChenGeneral Surgery Department, Hangzhou Fuyang District First People's Hospital, Hangzhou, People's Republic of China.
Xing-Yu LiSchool of Basic Medicine, Peking University, Beijing, People's Republic of China.
Peng GuoDepartment of Orthopedics, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Dong-Lai WangDepartment of Orthopedics, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.ORCID 0000-0001-9098-5891
Hebei Medical University · CNHangzhou First People's Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRhabdomyosarcoma is the most common soft tissue tumor in children. Rhabdomyosarcoma commonly results in pain and bleeding caused by tumor compression and is prone to early metastasis and recurrence, which can seriously affect the therapeutic outcomes and long-term prognosis. Up to 37.7% of rhabdomyosarcomas may metastasize. Therefore, the molecular mechanisms underlying rhabdomyosarcoma must be explored to identify an effective target for its early diagnosis and specific treatment.

methodsA dataset of 18 rhabdomyosarcoma tissue samples and 6 healthy skeletal muscle samples was downloaded. Differentially expressed genes between rhabdomyosarcoma and healthy tissue samples were identified by GEO2R. Kyoto Encyclopedia of Genes and Genomes and gene ontology pathway enrichment analyses were performed. A protein-protein interaction network was constructed, and hub genes were identified. Expression and survival analyses of hub genes were performed. Additionally, 30 patients with rhabdomyosarcoma were recruited, and overall survival information and samples were collected. Reverse transcription quantitative real-time polymerase chain reaction assays were performed to verify the expression of

resultsIn total, 164 genes were up-regulated and 394 were down-regulated in rhabdomyosarcoma tumor tissues. Gene ontology analysis revealed that variations were predominantly enriched in the cell cycle, muscle contraction, muscle system processes, cytoskeleton, nucleotide binding, and cytoskeletal protein binding. The protein-protein interaction network revealed 3274 edges, and 441 nodes were constructed. Ten hub genes were identified; of these,

conclusionsWe found differentially expressed genes between rhabdomyosarcoma and healthy tissue samples.

Indexed as

TranscriptomeBiomarkers, TumorCarrier ProteinsCase-Control StudiesGene OntologyHumansKaplan-Meier EstimateMuscle, SkeletalMyosin Binding Protein CMyosin Light ChainsProtein Interaction MapsRhabdomyosarcomaSurvival RateUp-RegulationBiomarkers, TumorCarrier ProteinsMYL1 protein, humanMyosin Binding Protein CMyosin Light Chainsbioinformaticsdifferentially expressed geneshub genesprotein–protein interactionrhabdomyosarcoma

Identifiers

PMID33499774
PMCPMC7844451
OpenAlexW3123038257

What OpenQuestion 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 OpenQuestion graph.