1.Bioinformatics-based analysis of DNA methylation markers in ulcerative colitis
Shuangshuang HAI ; Yihong LIU ; Haibo ZHAO ; Ruimiao YU
China Modern Doctor 2024;62(35):37-42
Objective To analyze DNA methylation biomarkers of ulcerative colitis(UC)based on bioinformatics methods.Methods Chip data from Gene Expression Omnibus(GEO),specifically GSE81211,GSE75214,and GSE87466,were used to analyze differentially methylated sites and differentially expressed genes in UC.This led to the identification of differentially expressed genes with abnormal methylation modifications.These genes were then subjected to enrichment analysis and protein-protein interaction(PPI)network analysis.The expression levels of core genes were validated using the spectral chip GSE36807,and diagnostic efficacy of these core genes was verified by plotting receiver operating characteristic curves.Results A total of 42 genes with high methylation modifications and low expression,and 53 genes with low methylation modifications and high expression were identified.Functional enrichment analysis showed that these genes were mainly associated with innate immune responses,T cell receptor signaling pathways,and upregulation of extracelluar regulated kinase(ERK1)and ERK2 cascade reactions.The enriched signaling pathways of these genes involved cell adhesion molecules and metabolic pathways.Conclusion Seven differentially expressed genes with abnormal methylation modifications SELL,SLAMF1,FCGR2A,CD86,CTLA4,CCR7,and PTPRC may serve as potential biomarkers and therapeutic targets for UC.
2.Bioinformatics-based analysis of DNA methylation markers in ulcerative colitis
Shuangshuang HAI ; Yihong LIU ; Haibo ZHAO ; Ruimiao YU
China Modern Doctor 2024;62(35):37-42
Objective To analyze DNA methylation biomarkers of ulcerative colitis(UC)based on bioinformatics methods.Methods Chip data from Gene Expression Omnibus(GEO),specifically GSE81211,GSE75214,and GSE87466,were used to analyze differentially methylated sites and differentially expressed genes in UC.This led to the identification of differentially expressed genes with abnormal methylation modifications.These genes were then subjected to enrichment analysis and protein-protein interaction(PPI)network analysis.The expression levels of core genes were validated using the spectral chip GSE36807,and diagnostic efficacy of these core genes was verified by plotting receiver operating characteristic curves.Results A total of 42 genes with high methylation modifications and low expression,and 53 genes with low methylation modifications and high expression were identified.Functional enrichment analysis showed that these genes were mainly associated with innate immune responses,T cell receptor signaling pathways,and upregulation of extracelluar regulated kinase(ERK1)and ERK2 cascade reactions.The enriched signaling pathways of these genes involved cell adhesion molecules and metabolic pathways.Conclusion Seven differentially expressed genes with abnormal methylation modifications SELL,SLAMF1,FCGR2A,CD86,CTLA4,CCR7,and PTPRC may serve as potential biomarkers and therapeutic targets for UC.
3.Questionnaire investigation of the awareness of doctors' attitude to geriatric syndrome in old patients with cancer
Lingxiao WANG ; Zhangmin MENG ; Shuangshuang NIE ; Bing XIANG ; Jun LI ; Qianqian SUN ; Hai QIN ; Youling GONG ; Changchuan PAN ; Cheng YI ; Yongxue YANG ; Shuang WANG
Chinese Journal of Geriatrics 2017;36(5):579-582
Objective To improve the quality of the management of the elderly patients with cancer in Sichuan province,and to understand the attitudes and perspectives of elderly surgeons and oncologists for the management and treatment of elderly patients with cancer.Methods A face-toface questionnaire interview was conducted with oncologists (n 64) and geriatricians (n =64).128 physicians were involved in this study.Results The cancer management and therapeutics were deemed appropriate at present by 9.38% (6/64)of the geriatricians and 25.00% (16/64)of the oncologists.The 39.06% (25/64) of geriatricians used to notice geriatric syndromes,while 81.25% (52/64)of oncologists never concerned about the geriatric syndrome(P=0.011).As for the causes of the therapy-associated toxicity,oncologist versus geriatrician payed an attention to malnutrition (100.00% vs.100.00% in both groups),to mobility disorders(65.63% vs.65.63%,84/128 in both groups),to cognitive impairment/mood disorder (89.06% in geriatrician group vs.75.00% in oncologist group,P=0.038).For the factors affecting treatment decisions,a physical ability attention (oncologists vs geriatricians:70.31% vs.92.19%;P =0.002),and comorbidity (oncologists vs geriatricians:62.50% vs.79.69%,P =0.032) had statistically significant difference.In addition,lack of geriatrics knowledge was also reported by more oncologists.However,one hundred percent of participants wanted very much to cooperate with each other in their clinical work.When responding to the clinical scenario,the 10.94% (7/64)of geriatricians and 32.81% (21/64)of oncologists chose modified treatment for 65-74 years old patient with cancer(P =0.003).When the age of the patients was 75-84 years old,only 12.50 % (8/64) of geriatricians prefer end-of-life care,while 31.25 % (20/64) of oncologists chose it (P =0.010).Conclusions Selection of treatment decisions in the elderly patients with cancer affect by ageing.Both oncologists and geriatricians are concerned with the elderly patients with cancer,ageing syndrome,total sickness and functional status.And these doctors support an establishment of a multi disciplinary team cooperation for the elderly patients with cancer.Therefore,the establishment of mutual cooperation between the two professionals is necessary and feasible.

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