Dataset Information

Screening and Identification of Prognostic Tumor-Infiltrating Immune Cells and Genes of Endometrioid Endometrial Adenocarcinoma: Based on The Cancer Genome Atlas Database and Bioinformatics.

ABSTRACT:

Background

Endometrioid endometrial adenocarcinoma (EEA) is one of the most common tumors in the female reproductive system. With the further understanding of immune regulation mechanism in tumor microenvironment, immunotherapy is emerging in tumor treatment. However, there are few systematic studies on EEA immune infiltration.

Methods

In this study, prognostic tumor-infiltrating immune cells (TIICs) and related genes of EEA were comprehensively analyzed for the first time through the bioinformatics method with CIBERSORT algorithm as the core. Gene expression profile data were downloaded from the TCGA database, and the abundance ratio of TIICs was obtained. Kaplan-Meier analysis and Cox regression analysis were used to identify prognostic TIICs. EEA samples were grouped according to the risk score in Cox regression model. Differential analysis and functional enrichment analyses were performed on high- and low-risk groups to find survival-related hub genes, which were verified by Tumor Immune Estimation Resource (TIMER).

Result

Four TIICs including memory CD4+ T cells, regulatory T cells, natural killer cells and dendritic cells were identified. And two hub gene modules were found, in which six hub genes including APOL1, CCL17, RBP4, KRT15, KRT71, and KRT79 were significantly related to overall survival and were closely correlated with some certain TIICs in the validation of TIMER.

Conclusion

In this study, four prognostic TIICs and six hub genes were found to be closely related to EEA. These findings provided new potential targets for EEA immunotherapy.

SUBMITTER: Chen B

PROVIDER: S-EPMC7737471 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

Screening and Identification of Prognostic Tumor-Infiltrating Immune Cells and Genes of Endometrioid Endometrial Adenocarcinoma: Based on The Cancer Genome Atlas Database and Bioinformatics.

Chen Bingnan B Wang Di D Li Jiapo J Hou Yue Y Qiao Chong C

Frontiers in oncology 20201201

<h4>Background</h4>Endometrioid endometrial adenocarcinoma (EEA) is one of the most common tumors in the female reproductive system. With the further understanding of immune regulation mechanism in tumor microenvironment, immunotherapy is emerging in tumor treatment. However, there are few systematic studies on EEA immune infiltration.<h4>Methods</h4>In this study, prognostic tumor-infiltrating immune cells (TIICs) and related genes of EEA were comprehensively analyzed for the first time through ...[more]

PMID: 33335850

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Project description:The objective of this study was to determine whether lower expression levels of DICER1 are associated with disease recurrence in patients with endometrioid endometrial cancer. The authors also explored DNA methylation and haploinsufficiency as potential mechanisms related to altered DICER1 expression in these tumors.DICER1 expression was assessed by quantitative polymerase chain reaction in a selected cohort of endometrioid endometrial tumors (N = 169). Loss of heterozygosity analyses were conducted using 2 single nucleotide polymorphisms, and combined bisulfate restriction analysis was used to assess methylation in the 5'-untranslated region of DICER1 in representative tumors. The correlations between DICER1 expression and clinicopathologic variables, including overall survival (OS) and disease-free survival (DFS), were assessed using nonparametric rank-sum tests and Cox proportional hazard models as appropriate. Survival distributions were described using the Kaplan-Meier method. A nested case-control analysis was conducted to confirm the association between transcript levels and disease recurrence.Lower DICER1 expression (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.05-1.75; P = .02) and advanced disease stage (HR, 2.79; 95%CI, 1.59-4.90; P < .001) were associated with worse DFS. Three variables were associated significantly with reduced OS: age (HR, 1.04; 95%CI, 1.02-1.06; P < .0001), advanced disease stage (HR, 6.41; 95%CI, 3.57-11.52; P < .0001), and high tumor grade (HR, 2.96; 95%CI, 1.46-5.99; P = .003). Nested case-control analyses confirmed that there were lower DICER1 transcript levels in patients who had recurrent disease (P = .01). Deletion of DICER1 sequences was an infrequent event (5% of analyzed patients), and no methylation was observed in the 5' DICER1 regulatory region.Lower DICER1 transcript levels were correlated with disease recurrence and worse DFS survival in patients with endometrioid endometrial cancer. The factors that influence DICER1 transcript levels in primary endometrial cancers remain unknown.

Dataset Information

Screening and Identification of Prognostic Tumor-Infiltrating Immune Cells and Genes of Endometrioid Endometrial Adenocarcinoma: Based on The Cancer Genome Atlas Database and Bioinformatics.

Background

Methods

Result

Conclusion

Publications

Screening and Identification of Prognostic Tumor-Infiltrating Immune Cells and Genes of Endometrioid Endometrial Adenocarcinoma: Based on The Cancer Genome Atlas Database and Bioinformatics.

Similar Datasets

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