Evidence map›Paper›PMID 29744300›Full record

ArticleFEBS open bio2018

Gene expression profiles and pathway enrichment analysis of human osteosarcoma cells exposed to sorafenib.

Zhehao Dai, Haoyu Tang, Yue Pan, Junquan Chen, Yongping Li, Jun Zhu

Abstract read
In one paragraph

Article in FEBS open bio, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Network-based drug repurposing for HPV-associated cervical cancer.Computational and structural biotechnology journal · 2023
    Article
  5. Article
  6. Article
  7. Article
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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

6 authors.

Zhehao DaiDepartment of Spine Surgery The Second Xiangya Hospital Central South University Changsha China.
Haoyu TangDepartment of Minimally Invasive Orthopaedic First People's Hospital of Huaihua Jishou University of the Fourth Affiliated Hospital Huaihua China.
Yue PanDepartment of Spine Surgery The Second Xiangya Hospital Central South University Changsha China.
Junquan ChenDepartment of Spine Surgery The Second Xiangya Hospital Central South University Changsha China.
Yongping LiDepartment of Minimally Invasive Orthopaedic First People's Hospital of Huaihua Jishou University of the Fourth Affiliated Hospital Huaihua China.
Jun ZhuDepartment of Minimally Invasive Orthopaedic First People's Hospital of Huaihua Jishou University of the Fourth Affiliated Hospital Huaihua China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sorafenib is an inhibitor of a variety of tyrosine kinase receptors used to treat various cancers including hepatocellular, renal cell and thyroid carcinoma. It has been shown to change various targets associated with osteosarcoma, but the detailed mechanism remains unclear. In order to identify key genes, enriched pathways and important modules during the exposure of human osteosarcoma cells to sorafenib, data for gene expression profiles (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53155) were downloaded from the GEO database. In total, 61 differentially expressed genes (DEGs) were identified by the R bioconductor packages. Functional and enrichment analyses of DEGs were performed using the DAVID database. These revealed that DEGs were enriched in biological processes, molecular function and KEGG pathway of inflammatory immune response and angiogenesis. A protein-protein interaction network was constructed by string and visualized in cytoscape, and eight genes were selected as hubs:

Indexed as

bioinformaticsfunctional enrichment analysisosteosarcomasorafenib

Identifiers

PMID29744300
PMCPMC5929930

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.