Necroptosis-Related Modification Patterns Depict the Tumor Microenvironment, Redox Stress Landscape, and Prognosis of Ovarian Cancer.
Rui GengZihang ZhongSenmiao NiWen LiuZhiqiang HeShilin GanQinghao HuangHao YuJianling BaiJinHui LiuPublished in: Oxidative medicine and cellular longevity (2023)
Necroptosis is one of programmed cell death discovered recently, which involves in tumorigenesis, cancer metastasis, and immune reaction. We studied the necroptosis-related genes (NRGs) in ovarian cancer (OV) tissues using data from public databases, which separated into two NRGclusters. Patients in cluster A would have severe clinical characteristics, poor prognosis, and worse tumor microenvironment infiltration characteristics. The NRG score was achieved through the Cox analysis, along with a construction of a prognostic model. People with lower risk score would have better prognosis, lower expression of redox related genes, higher immunogenicity, and better effect on immunotherapy. In addition, the NRG score was closely related to cancer stem cell index, copy number variations, tumor mutation load, and chemosensitivity. We built a nomogram to enhance clinical application of the signature. These outcomes can help use know the function of NRGs in OV and provide new ideas for evaluating clinical outcome and developing more effective treatment protocols.
Keyphrases
- poor prognosis
- copy number
- long non coding rna
- mitochondrial dna
- cancer stem cells
- end stage renal disease
- newly diagnosed
- genome wide
- big data
- papillary thyroid
- gene expression
- ejection fraction
- healthcare
- machine learning
- mental health
- metabolic syndrome
- early onset
- type diabetes
- prognostic factors
- squamous cell carcinoma
- dna methylation
- lymph node metastasis
- adipose tissue
- electron transfer
- emergency department
- combination therapy
- electronic health record
- data analysis
- adverse drug