ArticleFrontiers in genetics2022
Identification of the Transcription Co-Factor-Related Gene Signature and Risk Score Model for Osteosarcoma.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Review
- MTF2 facilitates the advancement of osteosarcoma through mediating EZH2/SFRP1/Wnt signaling.Journal of orthopaedic surgery and research · 2024Article
- Advances in prognostic models for osteosarcoma risk.Heliyon · 2024Review
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Authors and funding
5 authors.
Funding
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Abstract
Osteosarcoma is a malignant tumor with a poor prognosis. Nowadays, there is a lack of good methods to assess the prognosis of osteosarcoma patients. Transcription co-factors (TcoFs) play crucial roles in transcriptional regulation through the interaction with transcription factors (TFs). Many studies have revealed that TcoFs are related to many diseases, especially cancer. However, few studies have been reported about prognostic prediction models of osteosarcoma by using TcoF-related genes. In order to construct a prognostic risk model with TcoF-related genes, the mRNA expression data and matched clinical information of osteosarcoma were downloaded from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database and the Gene Expression Omnibus (GEO) database. TARGET was used as a training set and GSE21257 from GEO was used as a validation set. Univariate Cox regression was performed to select 13 TcoF-related candidate genes, of which five genes (
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