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Machine learning algorithm to construct cuproptosis-and immunerelated prognosis prediction model for colon cancer

World Journal of Gastrointestinal Oncology 2023年第3期15卷 372-388页

作者： Yuan-Yi Huang Ting-Yu Bao Xu-Qi Huang Qi-Wen Lan Ze-Min Huang Yu-Han Chen Zhi-De Hu Xu-Guang Guo Department of Clinical Laboratory Medicine The Third Affiliated Hospital of Guangzhou Medical UniversityGuangzhou 510150Guangdong ProvinceChina Department of Clinical Medicine The First Clinical School of Guangzhou Medical UniversityGuangzhou 511436Guangdong ProvinceChina Department of Clinical Medicine The Third Clinical S Department of Clinical Medicine The Sixth Clinical School of Guangzhou Medical UniversityGuangzhou 511436Guangdong ProvinceChina Department of Medical Imageology The Second Clinical School of Guangzhou Medical UniversityGuangzhou 511436Guangdong ProvinceChina Department of Laboratory Medicine The Affiliated Hospital of Inner Mongolia Medical UniversityHohhot 010010Inner Mongolia Autonomous RegionChina Guangdong Provincial Key Laboratory of Major Obstetric Diseases The Third Affiliated Hospital of Guangzhou Medical UniversityGuangzhou 510150Guangdong ProvinceChina Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes The Third Affiliated Hospital of Guangzhou Medical UniversityGuangzhou 510150Guangdong ProvinceChina Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases King Med School of Laboratory MedicineGuangzhou Medical UniversityGuangzhou 511436Guangdong ProvinceChina

BACKGROUND Over the past few years,research into the pathogenesis of colon cancer has progressed rapidly,and cuproptosis is an emerging mode of cellular *** the relationship between colon cancer and cuproptosis benefits in identifying novel biomarkers and even improving the outcome of the *** To look at the prognostic relationship between colon cancer and the genes associated with cuproptosis and the immune system in *** main purpose was to assess whether reasonable induction of these biomarkers reduces mortality among patients with colon *** Data obtained from The Cancer Genome Atlas and Gene Expression Omnibus and the Genotype-Tissue Expression were used in differential analysis to explore differential expression genes associated with cuproptosis and immune *** least absolute shrinkage and selection operator and Cox regression algorithm was applied to build a cuproptosis-and immune-related combination model,and the model was utilized for principal component analysis and survival analysis to observe the survival and prognosis of the patients.A series of statistically meaningful transcriptional analysis results demonstrated an intrinsic relationship between cuproptosis and the micro-environment of colon *** Once prognostic characteristics were obtained,the CDKN2A and DLAT genes related to cuproptosis were strongly linked to colon cancer:The first was a risk factor,whereas the second was a protective *** finding of the validation analysis showed that the comprehensive model associated with cuproptosis and immunity was statistically *** the component expressions,the expressions of HSPA1A,CDKN2A,and UCN3 differed *** analysis primarily reflects the differential activation of related immune cells and ***,genes linked to immune checkpoint inhibitors were expressed differently between the subgroups,which may reveal the mechanism of worse prognosis an

关键词： Cuproptosis Immune Colon cancer prognosis models Immune infiltration analysis

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