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A model of five genes of tumor microenvironment predicts prognosis in Cholangiocarcinoma

Cancer Advances 2024年第2期7卷 1-12页

作者： Jin-Shan Yang Chuan-Xin Wu Kai Li Ling-Xiang Xu Xing-Lang Wu Qin-Bo Wang Lun-Wei Chen Na Wang Hang Sun Department of Hepatobiliary Surgery The Second Affiliated Hospital of Chongqing Medical UniversityChongqing 400010China Department of Hepatobiliary Surgery The Third People’s Hospital of Sichuan ProvinceChengdu 610100China Key Laboratory of Molecular Biology for Infectious Diseases(Ministry of Education) Institute for Viral HepatitisDepartment of Infectious DiseasesThe Second Affiliated HospitalChongqing Medical UniversityChongqing 400010China

Background:Cholangiocarcinoma(CCA)is highly malignant and has a poor prognosis has a high malignant degree and poor *** purpose of this study is to develop a new prognostic model based on genes related to the tumor microenvironment(TME).Methods:Derived from the discerned differentially expressed genes within The Cancer Genome Atlas(TCGA)dataset,this investigation employed the methodology of weighted gene co-expression network analysis(WGCNA)to ascertain gene co-expressed modules intricately linked to the Tumor Microenvironment(TME)among Cholangiocarcinoma(CCA)*** genes associated with prognosis,as identified through Cox regression analysis,were employed in the formulation of a predictive *** model underwent validation,leading to the development of a risk score formula and ***,we validated the model’s reliability using data from CCA patients in the Gene Expression Omnibus(GEO)database(accession:GSE107943).Results:6139 DEGs were divided into 10 co-expressed gene modules using *** these,two modules(blue module with 832 genes and brown module with 1379 genes)showed high correlation with the *** prognostic genes(BNIP3,COL4A3,SPRED3,CEBPB,PLOD2)were identified through Cox regression analysis,and a prognostic model and risk score formula were developed based on these *** score formula:Risk score=BNIP3×1.70520-COL4A3×2.39815+SPRED3×1.17936+CEBPB×0.40456+PLOD2×***-Meier survival analysis revealed that the survival probabilities of the low-risk group were significantly higher than those of the high-risk ***,the related evaluation indexes suggested that the model exhibited strong predictive ***:The prognostic model,based on five TME-related genes(BNIP3,COL4A3,SPRED3,CEBPB,PLOD2),could accurately assess the prognosis of CCA patients to aid in guiding clinical decisions.

关键词： Cholangiocarcinoma tumor microenvironment prognostic prediction model nomogram

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Recent Advances and Future Directions of Diagnostic and prognostic prediction models in Ovarian Cancer

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Journal of Shanghai Jiaotong university(Science) 2021年第1期26卷 10-16页

作者： ZENG Judan CAO Wenjiao WANG Lihua Department of Obstetrics and Gynecology the International Peace Maternity&Child Health Hospital of China Welfare InstituteShanghai Jiao Tong University School of MedicineShanghai 200030China

Ovarian cancer has one of the highest mortality rates among gynecological *** disease has a low early detection rate,a high postoperative recurrence rate,and a 5-year survival rate of only 40%.Hence,there is an urgent need to improve the early diagnosis and prognosis of ovarian *** models can effectively estimate the risk of disease occurrence,as well as its ***,many studies have established multiple ovarian cancer prediction models based on different regions and *** models can improve the detection rate and optimize the prognosis management to a certain ***,the construction principle of the ovarian cancer risk prediction model and its validation are summarized;furthermore,comprehensive reviews and comparisons of the different types of these models are ***,our review may be of great significance for the whole course of ovarian cancer management.

关键词： ovarian cancer diagnostic prediction model prognostic prediction model

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Molecular subtypes based on DNA methylation predict prognosis in patients with renal clear cell carcinoma

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Medical Theory and Hypothesis 2022年第1期5卷 10-16页

作者： Xu-Dong Zhu Yang Shen Ming Yang Long-Long Tang Yuan-Yuan Ji Meng-Yu Sheng Huan Zhang Zhi-Yong Qu He-Song Ye Department of Urology The Second Affiliated Hospital of Nanjing University of Chinese MedicineJiangsu Province Second Chinese Medicine HospitalNanjing 210029China

Background:Tumor heterogeneity is closely related to the occurrence,progression and recurrence of renal clear cell carcinoma(ccRCC),making early diagnosis and effective treatment *** methylation is an important regulator of gene expression and can affect tumor ***:In this study,we investigated the prognostic value of subtypes based on DNA methylation status in 506 ccRCC samples with paired clinical data from the TCGA *** in DNA methylation levels were associated with differences in T,N and M categories,age,stage and ***,the samples were divided into the training group and the testing group according to 450K and *** and multivariate Cox regression analysis was used to construct the prediction model in the training group,and the model was verified and evaluated in the testing ***:By univariate Cox regression analysis,21,122 methylation sites and 6,775 CpG sites were identified as potential DNA methylation biomarkers for overall survival of ccRCC patients(Pprognostic methylation sites was used to identify different DNA methylation subsets of ccRCC for prognostic *** performed functional enrichment analysis on these 3,640 genes and identified 75 significantly enriched pathways(Pprognostic specific methylation sites and established prognostic prediction models for ccRCC *** model helps to identify novel biomarkers,precision drug targets and disease molecular subtypes in patients with ***,this model may be useful in predicting the progno

关键词： DNA methylation renal clear cell carcinoma TCGA database prognostic prediction model bioinformatics

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