ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015
Bioinformatics analyses of significant prognostic risk markers for thyroid papillary carcinoma.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Prediction of novel target genes and pathways involved in tall cell variant papillary thyroid carcinoma.Medicine · 2018Trial
- The diagnostic and prognostic value ofBioImpacts : BI · 2025Article
- The role and regulation of Maf proteins in cancer.Biomarker research · 2023Review
- Redox metabolism correlates with cellular turnover and clinical phenotype of papillary thyroid carcinoma and colloid goiter.Archives of medical science : AMS · 2022Article
- hsa_circ_0001018 promotes papillary thyroid cancer by facilitating cell survival, invasion, GMolecular therapy. Nucleic acids · 2021Article
- Comprehensive Pan-Cancer Analysis and the Regulatory Mechanism of ASF1B, a Gene Associated With Thyroid Cancer Prognosis in the Tumor Micro-Environment.Frontiers in oncology · 2021Article
- Bioinformatics analysis to screen key genes in papillary thyroid carcinoma.Oncology letters · 2020Article
- Genetic expression profile-based screening of genes and pathways associated with papillary thyroid carcinoma.Oncology letters · 2018Article
- Identification of key genes of papillary thyroid cancer using integrated bioinformatics analysis.Journal of endocrinological investigation · 2018Article
- Reactivity of thyroid papillary carcinoma cells to thyroid stimulating hormone-dominated endocrine therapy.Oncology letters · 2017Article
- ZNRF3 is downregulated in papillary thyroid carcinoma and suppresses the proliferation and invasion of papillary thyroid cancer cells.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was aimed to identify the prognostic risk markers for thyroid papillary carcinoma (TPC) by bioinformatics. The clinical data of TPC and their microRNAs (miRNAs) and genes expression profile data were downloaded from The Cancer Genome Atlas. Elastic net-Cox's proportional regression hazards model (EN-COX) was used to identify the prognostic associated factors. The receiver operating characteristic (ROC) curve and Kaplan-Meier (KM) curve were used to screen the significant prognostic risk miRNA and genes. Then, the target genes of the obtained miRNAs were predicted followed by function prediction. Finally, the significant risk genes were performed literature mining and function analysis. Total 1046 miRNAs and 20531 genes in 484 cases samples were identified after data preprocessing. From the EN-COX model, 30 prognostic risk factors were obtained. Based on the 30 risk factors, 3 miRNAs and 11 genes were identified from the ROC and KM curves. The target genes of miRNA-342 such as B-cell CLL/lymphoma 2 (BCL2) were mainly enriched in the biological process related to cellular metabolic process and Disease Ontology terms of lymphoma. The target genes of miRNA-93 were mainly enriched in the pathway of G1 phase. Among the 11 prognostic risk genes, v-maf avian musculoaponeurotic fibrosarcoma oncogene homologue F (MAFF), SRY (sex-determining region Y)-box 4 (SOX4), and retinoic acid receptor, alpha (RARA) encoded transcription factors. Besides, RARA was enriched in four pathways. These prognostic markers such as miRNA-93, miRNA-342, RARA, MAFF, SOX4, and BCL2 may be used as targets for TPC chemoprevention.
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