ArticleCancer biomarkers : section A of Disease markers2019
Whole-exome and RNA sequencing reveal novel insights into the pathogenesis of HPV associated cervical cancer.
Article in Cancer biomarkers : section A of Disease markers, 2019. 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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3 citing papers in PubMed, 13 citations in OpenAlex.
- Feasibility of a novel non-invasive swab technique for serial whole-exome sequencing of cervical tumors during chemoradiation therapy.PloS one · 2022Article
- DNA polymerase β deficiency promotes the occurrence of esophageal precancerous lesions in mice.Neoplasia (New York, N.Y.) · 2021Review
- 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
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10 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundWorldwide, cervical cancer is the fouth leading cause of deaths in gynecological oncology. Although the causes of cervical cancer have been extensively investigated, understanding of its exact pathogenesis remains incomplete.
objectiveThis study aimed to identify alterations of genome and transcriptome of HPV associated cervical cancer pathogenesis using multi-omics approaches.
methodsCervical cancer and matched adjacent non-tumor specimens of one HPV16+ and two HPV- patients were sampled for whole-exome sequencing (WES) and RNA sequencing to characterize DNA mutations and gene expression profiles. WES and Affymetrix SNP 6.0 arrays data were analyzed from 6 HPV- and 93 HPV16+ cervical cancer patients in the cancer genome atlas (TCGA) database, as an independent validation group.
resultsWES identified 64 somatic mutation genes in tumors of 3 patients. HPV16+ tumor got fewer somatic mutated genes than HPV- tumors, which was validated by TCGA results. In this study, somatic mutated profile, CNV and gene expression heat map presented that HPV16+ tumors was distinct with HPV- tumors. The most significant altered pathways and GO terms were both related with cell cycle. Integrated analysis of multi-omics showed positive correlation between gene expression level and copy numbers.
conclusionsThe results of this study provided novel insights into the pathogenesis of HPV associated cervical cancer.
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