scholarly journals Elevated DNA Polymerase Delta 1 Expression Correlates With Tumor Progression and Immunosuppressive Tumor Microenvironment in Hepatocellular Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Shuai Zhao ◽  
Cuicui Wei ◽  
Haijia Tang ◽  
Han Ding ◽  
Bing Han ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Microenvironment ◽  
Dna Polymerase ◽  
Excision Repair ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Dna Polymerase Delta ◽  
Normal Tissues ◽  
Immunosuppressive Tumor Microenvironment ◽  
Base Excision

Background and ObjectiveHepatocellular carcinoma (HCC) is one of the most common cancers worldwide, and the DNA polymerase delta (POLD) family is significantly related to cancer prognosis. This study aimed to explore the significance of the POLD family in HCC via the DNA damage repair (DDR) pathway.MethodsData mining was conducted using bioinformatics methods. RNA sequencing and clinicopathological data were collected from The Cancer Genome Atlas, GTEx database and the Gumz Renal cohort. Statistical analyses were also performed in cancer samples (n>12,000) and the Affiliated Hospital of Youjiang Medical University for Nationalities (AHYMUN, n=107) cohort.ResultsThe POLD family (POLD1–4) was identified as the most important functional component of the DDR pathway. Based on the analysis of independent cohorts, we found significantly elevated POLD expression in HCC compared with normal tissues. Second, we investigated the prognostic implication of elevated POLD1 expression in HCC and pan-cancers, revealing that increased POLD1 levels were correlated to worse prognoses for HCC patients. Additionally, we identified 11 hub proteins interacting closely with POLD proteins in base excision repair, protein-DNA complex and mismatch repair signaling pathways. Moreover, POLD1 mutation functioned as an independent biomarker to predict the benefit of targeted treatment. Importantly, POLD1 expression was associated with immune checkpoint molecules, including CD274, CD80, CD86, CTLA4, PDCD1 and TCGIT, and facilitated an immune-excluded tumor microenvironment. Additionally, we confirmed that elevated POLD1 expression was closely correlated with the aggressive progression and poor prognosis of HCC in the real-world AHYMUN cohort.ConclusionWe identified a significant association between elevated POLD1 expression and poor patient survival and immune-excluded tumor microenvironment of HCC. Together, these findings indicate that POLD1 provides a valuable biomarker to guide the molecular diagnosis and development of novel targeted therapeutic strategies for HCC patients.

FADS1 is a Prognostic Biomarker in Bladder Cancer: A Study Based on TCGA Data

2020 ◽  
Vol 23 ◽  
Author(s):  
Ying Lu ◽  
Jing Shao ◽  
Xu Shu ◽  
Yaofei Jiang ◽  
Jianfang Rong ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Histological Grade ◽  
Clinical Stage ◽  
Fatty Acid Desaturase ◽  
Clinical Information ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Normal Tissues ◽  
Potential Biomarker ◽  
T Classification

Aim and Objective: Fatty acid desaturase 1 (FADS1) has been reported to be a potential biomarker in various cancers. However, no study has explored the relationship between FADS1 expression and bladder cancer. Our study aimed to investigate the role of FADS1 in bladder cancer prognosis via The Cancer Genome Atlas (TCGA). Materials and Methods: RNA-Seq expression of 414 tumor tissues and 19 paired normal tissues, as well as corresponding clinical data, were downloaded from TCGA database. Two cancer cases were excluded due to a lack of clinical information. The association between FADS1 and the clinicopathological features of bladder cancer was analyzed. This study was conducted in October of 2019 in China. Results: The high expression of FADS1 in bladder cancer was significantly related to histological grade (OR = 0.155 for low vs. high), clinical stage (OR=2.074 for III or IV vs. I or II), T classification (OR=2.326 for T3 or T4 vs. T1 or T2), lymphatic metastasis (OR=1.923 for N1 or N2 or N3 vs. N0) and distant metastasis (OR=4.883 for yes vs. no) (all p-values <0.05). Bladder cancer with high FADS1 levels was related to a worse prognosis than bladder cancer with low FADS1 levels (p= 1.626*10-5 ), according to median expression value 3.622. FADS1 was an independent factor of overall survival in bladder cancer, with a hazard ratio of 1.048 (95%CI: 1.020–1.077, p = 0.001). Conclusions: Increased FADS1 expression in bladder cancer is associated with advanced clinical pathological features and may be a potential biomarker for poor prognosis.

scholarly journals The human checkpoint sensor and alternative DNA clamp Rad9–Rad1–Hus1 modulates the activity of DNA ligase I, a component of the long-patch base excision repair machinery

2005 ◽  
Vol 389 (1) ◽  
pp. 13-17 ◽  
Author(s):  
Ekaterina SMIRNOVA ◽  
Magali TOUEILLE ◽  
Enni MARKKANEN ◽  
Ulrich HÜBSCHER
Keyword(s):  
Quality Control ◽  
Dna Polymerase ◽  
Base Excision Repair ◽  
Excision Repair ◽  
Dna Ligase ◽  
Dna Polymerase Β ◽  
Flap Endonuclease 1 ◽  
Important Target ◽  
Dna Ligase I ◽  
Base Excision

The human checkpoint sensor and alternative clamp Rad9–Rad1–Hus1 can interact with and specifically stimulate DNA ligase I. The very recently described interactions of Rad9–Rad1–Hus1 with MutY DNA glycosylase, DNA polymerase β and Flap endonuclease 1 now complete our view that the long-patch base excision machinery is an important target of the Rad9–Rad1–Hus1 complex, thus enhancing the quality control of DNA.

scholarly journals DNA polymerase β outperforms DNA polymerase γ in key mitochondrial base excision repair activities

DNA Repair ◽  
2021 ◽  
Vol 99 ◽  
pp. 103050
Author(s):  
Beverly A. Baptiste ◽  
Stephanie L. Baringer ◽  
Tomasz Kulikowicz ◽  
Joshua A. Sommers ◽  
Deborah L. Croteau ◽  
...  
Keyword(s):  
Dna Polymerase ◽  
Base Excision Repair ◽  
Excision Repair ◽  
Dna Polymerase Β ◽  
Base Excision ◽  
Dna Polymerase Γ

scholarly journals Base excision repair and design of small molecule inhibitors of human DNA polymerase β

2010 ◽  
Vol 67 (21) ◽  
pp. 3633-3647 ◽  
Author(s):  
Samuel H. Wilson ◽  
William A. Beard ◽  
David D. Shock ◽  
Vinod K. Batra ◽  
Nisha A. Cavanaugh ◽  
...  
Keyword(s):  
Dna Polymerase ◽  
Small Molecule ◽  
Base Excision Repair ◽  
Small Molecule Inhibitors ◽  
Excision Repair ◽  
Dna Polymerase Β ◽  
Human Dna ◽  
Base Excision

DNA Polymerase β Promotes Recruitment of DNA Ligase IIIα−XRCC1 to Sites of Base Excision Repair

Biochemistry ◽  
2005 ◽  
Vol 44 (31) ◽  
pp. 10613-10619 ◽  
Author(s):  
Jason L. Parsons ◽  
Irina I. Dianova ◽  
Sarah L. Allinson ◽  
Grigory L. Dianov
Keyword(s):  
Dna Polymerase ◽  
Base Excision Repair ◽  
Excision Repair ◽  
Dna Ligase ◽  
Dna Polymerase Β ◽  
Base Excision

scholarly journals Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Shenglan Cai ◽  
Xingwang Hu ◽  
Ruochan Chen ◽  
Yiya Zhang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Immune Cells ◽  
Cox Regression ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Roc Curves ◽  
The Cancer Genome Atlas ◽  
Immune Checkpoints ◽  
Immune Genes ◽  
Normal Tissues

BackgroundEnhancer RNAs (eRNAs) are intergenic long non-coding RNAs (lncRNAs) that participate in the progression of malignancies by targeting tumor-related genes and immune checkpoints. However, the potential role of eRNAs in hepatocellular carcinoma (HCC) is unclear. In this study, we aimed to construct an immune-related eRNA prognostic model that could be used to prospectively assess the prognosis of patients with HCC.MethodsGene expression profiles of patients with HCC were downloaded from The Cancer Genome Atlas (TCGA). The eRNAs co-expressed from immune genes were identified as immune-related eRNAs. Cox regression analyses were applied in a training cohort to construct an immune-related eRNA signature (IReRS), that was subsequently used to analyze a testing cohort and combination of the two cohorts. Kaplan-Meier and receiver operating characteristic (ROC) curves were used to validate the predictive effect in the three cohorts. Gene Set Enrishment Analysis (GSEA) computation was used to identify an IReRS-related signaling pathway. A web-based cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) computation was used to evaluate the relationship between the IReRS and infiltrating immune cells.ResultsA total of sixty-four immune-related eRNAs (IReRNAs) was identified in HCC, and 14 IReRNAs were associated with overall survival (OS). Five IReRNAs were used for constructing an immune-related eRNA signature (IReRS), which was shown to correlate with poor survival and to be an independent prognostic biomarker for HCC. The GSEA results showed that the IReRS was correlated to cancer-related and immune-related pathways. Moreover, we found that IReRS was correlated to infiltrating immune cells, including CD8+ T cells and M0 macrophages. Finally, differential expressions of the five risk IReRNAs in tumor tissues vs. adjacent normal tissues and their prognostic values were verified, in which the AL445524.1 may function as an oncogene that affects prognosis partly by regulating CD4-CLTA4 related genes.ConclusionOur results suggest that the IReRS could serve as a biomarker for predicting prognosis in patients with HCC. Additionally, it may be correlated to the tumor immune microenvironment and could also be used as a biomarker in immunotherapy for HCC.

scholarly journals A novel regulatory circuit in base excision repair involving AP endonuclease 1, Creb1 and DNA polymerase β

2010 ◽  
Vol 39 (8) ◽  
pp. 3156-3165 ◽  
Author(s):  
De-Sheng Pei ◽  
Xiao-Jie Yang ◽  
Wei Liu ◽  
Jeroen E. J. Guikema ◽  
Carol E. Schrader ◽  
...  
Keyword(s):  
Dna Polymerase ◽  
Base Excision Repair ◽  
Excision Repair ◽  
Dna Polymerase Β ◽  
Ap Endonuclease ◽  
Regulatory Circuit ◽  
Ap Endonuclease 1 ◽  
Base Excision

scholarly journals Mining TCGA Database for Tumor Microenvironment-Related Genes of Prognostic Value in Hepatocellular Carcinoma

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Zhenfeng Deng ◽  
Jilong Wang ◽  
Banghao Xu ◽  
Zongrui Jin ◽  
Guolin Wu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Microenvironment ◽  
Immune Cells ◽  
Malignant Tumors ◽  
Public Access ◽  
The Cancer Genome Atlas ◽  
Functional Enrichment ◽  
Protein Protein Interaction ◽  
Potential Association ◽  
Poor Outcomes

Hepatocellular carcinoma (HCC) is one of the most common and lethal malignancies. Recent studies reveal that tumor microenvironment (TME) components significantly affect HCC growth and progression, particularly the infiltrating stromal and immune cells. Thus, mining of TME-related biomarkers is crucial to improve the survival of patients with HCC. Public access of The Cancer Genome Atlas (TCGA) database allows convenient performance of gene expression-based analysis of big data, which contributes to the exploration of potential association between genes and prognosis of a variety of malignancies, including HCC. The “Estimation of STromal and Immune cells in MAlignant Tumors using Expression data” algorithm renders the quantification of the stromal and immune components in TME possible by calculating the stromal and immune scores. Differentially expressed genes (DEGs) were screened by dividing the HCC cohort of TCGA database into high- and low-score groups according to stromal and immune scores. Further analyses of functional enrichment and protein-protein interaction networks show that the DEGs are mainly involved in immune response, cell adhesion, and extracellular matrix. Finally, seven DEGs have significant association with HCC poor outcomes. These genes contain FABP3, GALNT5, GPR84, ITGB6, MYEOV, PLEKHS1, and STRA6 and may be candidate biomarkers for HCC prognosis.

Sign in / Sign up

Export Citation Format

Share Document