ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015
Transcriptome profiling of the cancer and adjacent nontumor tissues from cervical squamous cell carcinoma patients by RNA sequencing.
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 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Investigation of miR-21-5p Key Target Genes and Pathways in Head and Neck Squamous Cell Carcinoma Based on TCGA Database and Bioinformatics Analysis.Technology in cancer research & treatmentPooled it
- Ultra-Deep Sequencing Reveals the Mutational Landscape of Classical Hodgkin Lymphoma.Cancer research communications · 2023Article
- Cervical cancer heterogeneity: a constant battle against viruses and drugs.Biomarker research · 2022Review
- Identification of the hub genes in gastric cancer through weighted gene co-expression network analysis.PeerJ · 2021Article
- Article
- RNA-based high-risk HPV genotyping and identification of high-risk HPV transcriptional activity in cervical tissues.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020Article
- Improvement in RNA quantity and quality in cervico-vaginal cytology.Virology journal · 2020Article
- Whole-exome and RNA sequencing reveal novel insights into the pathogenesis of HPV associated cervical cancer.Cancer biomarkers : section A of Disease markers · 2019Article
- Recent Advances on the Molecular Mechanism of Cervical Carcinogenesis Based on Systems Biology Technologies.Computational and structural biotechnology journal · 2019Review
- Serum amyloid A1 in combination with integrin αVβ3 increases glioblastoma cells mobility and progression.Molecular oncology · 2018Article
- Disparity in rates of HPV infection and cervical cancer in underserved US populations.Frontiers in bioscience (Scholar edition) · 2017Review
- Interactome analysis of gene expression profiles of cervical cancer reveals dysregulated mitotic gene clusters.American journal of translational research · 2017Article
- Transcriptomic Network Analysis Using Exfoliative Cervical Cells Could Discriminate a Potential Risk of Progression to Cancer in HPV-related Cervical Lesions: A Pilot Study.Cancer genomics & proteomicsArticle
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cervical cancer is the third most common cancer and the fourth leading cause of cancer deaths among women in the world. The discovery of vital diagnostic and therapeutic markers against cervical squamous cell carcinoma (CSCC) would broaden our understanding on the molecular basis of CSCC. In this study, we thoroughly analyzed the transcriptome of CSCC and matched adjacent nontumor (ATN) tissue. RNA sequencing was performed to screen the differentially expressed genes (DEGs) of three pairs of CSCC and ATN tissues. Functional enrichment analysis was used to uncover the biological functions of DEGs. Protein interaction network was carried out to reveal interaction of DEGs. Quantitative real-time PCR was conducted to validate the expression of DEGs. Immunohistochemistry was used to detect the relationship between clinicopathological parameters of CSCC and DEGs. There were a total of 347 significantly common DEGs in the three paired examples, including 104 consistent upregulated and 148 consistent downregulated DEGs. The 347 DEGs were categorized into 73 functional categories by Gene Ontology (GO) analysis. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis suggested six significantly signal pathways. The protein interaction network uncovered three important DEGs, including retinol dehydrogenase 12 (RDH12), ubiquitin D (UBD), and serum amyloid A1 (SAA1). We found that RDH12 expression was decreased in 74.5 % of CSCC tissues. RDH12 expression was negatively associated with tumor size and depth of cervical invasion. The UBD was overexpressed in 61.7 % of CSCC tissues and was positively related with tumor size and lymphatic metastasis. The SAA1 protein was overexpressed in 57.4 % of CSCC tissues and was positively related with clinicopathological parameters of tumor size, lymphatic metastasis, and depth of cervical invasion. The RDH12, UBD, and SAA1 genes might participate in the progression of CSCC.
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