DNA Damage Response Gene Signature as Potential Treatment Markers for Oral Squamous Cell Carcinoma.
Silvia PomellaMatteo CassandriOmbretta MelaiuFrancesco MaramponMarco GargariVincenzo CampanellaRossella RotaGiovanni BarillariPublished in: International journal of molecular sciences (2023)
Oral squamous cell carcinoma (OSCC) is a rapidly progressive cancer that often develops resistance against DNA damage inducers, such as radiotherapy and chemotherapy, which are still the standard of care regimens for this tumor. Thus, the identification of biomarkers capable of monitoring the clinical progression of OSCC and its responsiveness to therapy is strongly required. To meet this need, here we have employed Whole Genome Sequencing and RNA-seq data from a cohort of 316 patients retrieved from the TCGA Pan-Cancer Atlas to analyze the genomic and transcriptomic status of the DNA damage response (DDR) genes in OSCC. Then, we correlated the transcriptomic data with the clinical parameters of each patient. Finally, we relied on transcriptomic and drug sensitivity data from the CTRP v2 portal, performing Pearson's correlation analysis to identify putative vulnerabilities of OSCC cell lines correlated with DDR gene expression. Our results indicate that several DDR genes show a high frequency of genomic and transcriptomic alterations and that the expression of some of them correlates with OSCC grading and infection by the human papilloma virus. In addition, we have identified a signature of eight DDR genes (namely CCNB1 , CCNB2 , CDK2 , CDK4 , CHECK1 , E2F1 , FANCD2 , and PRKDC ) that could be predictive for OSCC response to the novel antitumor compounds sorafenib and tipifarnib-P1. Altogether, our data demonstrate that alterations in DDR genes could have an impact on the biology of OSCC. Moreover, here we propose a DDR gene signature whose expression could be predictive of OSCC responsiveness to therapy.
Keyphrases
- rna seq
- single cell
- dna damage response
- genome wide
- genome wide identification
- high frequency
- bioinformatics analysis
- copy number
- gene expression
- electronic health record
- dna damage
- dna repair
- papillary thyroid
- big data
- poor prognosis
- dna methylation
- genome wide analysis
- end stage renal disease
- healthcare
- endothelial cells
- transcranial magnetic stimulation
- oxidative stress
- case report
- ejection fraction
- transcription factor
- newly diagnosed
- emergency department
- palliative care
- stem cells
- peritoneal dialysis
- squamous cell carcinoma
- long non coding rna
- binding protein
- replacement therapy
- drug induced
- childhood cancer
- quality improvement
- radiation induced
- combination therapy
- mesenchymal stem cells
- pain management