scholarly journals Quantitative and correlation analysis of the DNA methylation and expression of DAPK in breast cancer

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3084 ◽  
Author(s):  
Youzhi Zhu ◽  
Shuiqin Li ◽  
Qingshui Wang ◽  
Ling Chen ◽  
Kunlin Wu ◽  
...  

BackgroundDeath-associated protein kinase 1 (DAPK) is an important tumor suppressor kinase involved in the regulation of multiple cellular activities such as apoptosis and autophagy. DNA methylation of DAPK gene was found in various types of cancers and often correlated with the clinicopathological characteristics. However, the mRNA and protein expression of DAPK in the same sample was rarely measured. Thus, it was unclear if the correlation between DAPK gene methylation and clinicopathological parameters was due to the loss of DAPK expression.MethodsIn this study, the DNA methylation rate, mRNA and protein expression of DAPK was quantitatively detected in 15 pairs of breast cancer patient samples including tumor (T) and adjacent non-tumor (N) tissues.ResultsThe correlation between DNA methylation rate and mRNA expression, together with the correlation between mRNA and protein expression, was calculated. No correlation was observed between any levels using either the measurement value of each sample or the T/N ratio of each pair.DiscussionThese data suggested that the DNA methylation status of DAPK did not correlate well with its mRNA or protein expression. Extra caution is needed when interpreting the DNA methylation data of DAPK gene in clinical studies.

2016 ◽  
Author(s):  
Youzhi Zhu ◽  
Shuiqin Li ◽  
Qingshui Wang ◽  
Ling Chen ◽  
Kunlin Wu ◽  
...  

Backgound. Death associated protein kinase 1 (DAPK) is an important tumor suppressor kinase involved in the regulation of multiple cellular activities such as apoptosis and autophagy. DNA methylation of DAPK gene was found in various types of cancers and often correlated with the clinicopathological characteristics. However, the mRNA and protein expression of DAPK in the same sample was rarely measured. Thus it was unclear if the correlation between DAPK gene methylation and clinicopathological parameters was due to the loss of DAPK expression. Methods. In this study, the DNA methylation rate, mRNA and protein expression of DAPK was quantitatively detected in 15 pairs of breast cancer patient samples including tumor (T) and adjacent non-tumor (N) tissues. Results. The correlation between DNA methylation rate and mRNA expression, together with the correlation between mRNA and protein expression, was calculated. No correlation was observed between any levels using either the measurement value of each sample or the T/N ratio of each pair. Discussion. These data suggested the DNA methylation status of DAPK did not correlate well with its mRNA or protein expression. Extra caution is needed when interpreting the DNA methylation data of DAPK gene in clinical studies.


2016 ◽  
Author(s):  
Youzhi Zhu ◽  
Shuiqin Li ◽  
Qingshui Wang ◽  
Ling Chen ◽  
Kunlin Wu ◽  
...  

Backgound. Death associated protein kinase 1 (DAPK) is an important tumor suppressor kinase involved in the regulation of multiple cellular activities such as apoptosis and autophagy. DNA methylation of DAPK gene was found in various types of cancers and often correlated with the clinicopathological characteristics. However, the mRNA and protein expression of DAPK in the same sample was rarely measured. Thus it was unclear if the correlation between DAPK gene methylation and clinicopathological parameters was due to the loss of DAPK expression. Methods. In this study, the DNA methylation rate, mRNA and protein expression of DAPK was quantitatively detected in 15 pairs of breast cancer patient samples including tumor (T) and adjacent non-tumor (N) tissues. Results. The correlation between DNA methylation rate and mRNA expression, together with the correlation between mRNA and protein expression, was calculated. No correlation was observed between any levels using either the measurement value of each sample or the T/N ratio of each pair. Discussion. These data suggested the DNA methylation status of DAPK did not correlate well with its mRNA or protein expression. Extra caution is needed when interpreting the DNA methylation data of DAPK gene in clinical studies.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 1560-1560
Author(s):  
Paloma Martin-Acosta ◽  
Dolores Sanchez-Massa ◽  
Cesareo Corbacho ◽  
Carlos Montalban ◽  
Carmen Bellas

Abstract Introduction: Aberrant methylation of the 5′ gene promoter regions is an epigenetic phenomenon that is the one of the major mechanism of inactivation of tumor supressor genes. DNA methylation of the promoter region has been described for several genes in various malignant diseases, and each tumour type may have its own pattern of methylation. To determine the methylation status and expression of cell cycle inhibitors genes (p14, p15, p16), repair genes (MGMT and hMLH1) and the apoptosis regulator gene (DAPKinase) and the possible role of this epigenetic phenomenon in tumour progression of plasma cell disorders, we analyzed the methylation profile of MM, MGUS, and plasmacytomas comparing them with their protein expression. Patients and Methods: A total of 51 cases: 30 MM, 13 MGUS, and 8 plasmacytomas (3 Solitary Bone Plasmacytoma, 5 Extramedullary Plasmacytoma) were included in the study. Bone marrow plasma cells were purified using magnetic microbeads labeled with CD138 in samples with MM and MGUS. Methylation-specific polymerase chain reaction (MSP) for p14, p15, p16, MGMT, hMLH1 and DAPKinase was performed. MSP results were matched to protein expression studies by immunohistochemistry for p15, p16, MGMT and hMLH1. Results: The frequency of aberrant methylation among the MM samples was: 50% for p16, 16.7% for p15, 10% for hMLH1, 23.3% for MGMT, 30% for DAPK. In MGUS samples we found 38.5% for p16, 15.4% for p15, 0% for hMLH1, 7.7% for MGMT and 15.4% for DAPK methylation. The frequency of methylation in plasmacytomas was 62.5% for p16, 25% for p15, 0% for hMLH1, 62.5% for MGMT and 50% for DAPK. p14 was unmethylated in all cases (n=51). The correlation between gene methylation status and protein expression was assessed in 17 MM, 11 MGUS, and 8 plasmacytomas and we found that promoter methylation was strongly associated with gene silencing. All the samples methylated had lost the protein expression. In summary these findings demonstrate that aberrant methylation is an important mechanism of gene silencing in plasma cell disorders: 83.3% of MM, 46.1 of MGUS, and 75% of plasmacytomas have at least one hypermethylated gene (figure 1). We also show, that hypermethylation of p16 is a common phenomenon in plasma cell discrasias while there was no methylation of p14. Although the size of sample is small, we found that hMLH1 hypermethylation was found only in MM, while in plasmacytomas hypermethylation of MGMT and DAPK were frequent events. Moreover in survival studies of MM patients, a trend was observed between simultaneous aberrant methylation of hMLH1 and MGMT and poorer survival, but the number of cases studied limits the statistical analysis and the clinical implications of these results. To better define the clinical impact of methylation markers in plasma cell discrasias, it is therefore necessary to analyze a large number of patient samples. Figure 1. Gene methylation profiling of MM(A), MGUS(B), and plasmacytomas(C) using MSPCR Figure 1. Gene methylation profiling of MM(A), MGUS(B), and plasmacytomas(C) using MSPCR


2021 ◽  
Vol 28 ◽  
pp. 107327482098851
Author(s):  
Zeng-Hong Wu ◽  
Yun Tang ◽  
Yan Zhou

Background: Epigenetic changes are tightly linked to tumorigenesis development and malignant transformation’ However, DNA methylation occurs earlier and is constant during tumorigenesis. It plays an important role in controlling gene expression in cancer cells. Methods: In this study, we determining the prognostic value of molecular subtypes based on DNA methylation status in breast cancer samples obtained from The Cancer Genome Atlas database (TCGA). Results: Seven clusters and 204 corresponding promoter genes were identified based on consensus clustering using 166 CpG sites that significantly influenced survival outcomes. The overall survival (OS) analysis showed a significant prognostic difference among the 7 groups (p<0.05). Finally, a prognostic model was used to estimate the results of patients on the testing set based on the classification findings of a training dataset DNA methylation subgroups. Conclusions: The model was found to be important in the identification of novel biomarkers and could be of help to patients with different breast cancer subtypes when predicting prognosis, clinical diagnosis and management.


Author(s):  
Wanting Shao ◽  
Christina Kuhn ◽  
Doris Mayr ◽  
Nina Ditsch ◽  
Magdalena Kailuwait ◽  
...  

Abstract Purpose The aim of this study was to investigate the expression of liver X receptors α/β (LXR) in primary breast cancer (BC) tissues and to analyze its correlations with clinicopathological parameters including patient survival. Methods In a well-characterized cohort of 305 primary BC, subcellular distribution of LXR was evaluated by immunohistochemistry. Correlations with clinicopathological characteristics as well as with patient outcome were analyzed. Results LXR was frequently localized in both nuclei and cytoplasms of BC cells, with stronger staining in nuclei. Total and nuclear LXR expression was positively correlated with ER and PR status. Overall survival analysis demonstrated that cytoplasmic LXR was significantly correlated with poor survival and appeared as an independent marker of poor prognosis, in stage I but not in stage II–III tumors Conclusion Altogether, these data suggest that cytoplasmic LXR could be defined as a prognostic marker in early stage primary BC.


Diagnostics ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 939
Author(s):  
Young Ju Jeong ◽  
Hoon Kyu Oh ◽  
Hye Ryeon Choi ◽  
Sung Hwan Park

Cluster of differentiation (CD) 73, which is encoded by the NT5E gene, regulates production of immunosuppressive adenosine and is an emerging checkpoint in cancer immunotherapy. Despite the significance of CD73 in immuno-oncology, the roles of the NT5E gene methylation in breast cancer have not been well-defined yet. Therefore, we aimed to investigate the prognostic significance of the NT5E gene methylation in breast cancer. The DNA methylation status of the NT5E gene was analyzed using pyrosequencing in breast cancer tissues. In addition, the levels of inflammatory markers and lymphocyte infiltration were evaluated. The mean methylation level of the NT5E gene was significantly higher in breast cancer than in normal breast tissues. In the analysis of relevance with clinicopathologic characteristics, the mean methylation levels of the NT5E gene were significantly higher in patients with large tumor size, high histologic grade, negative estrogen receptor expression, negative Bcl-2 expression, and premenopausal women. There was no difference in disease-free survival according to the methylation status of the NT5E gene. We found that the NT5E gene methylation was related to breast cancer development and associated with poor prognostic factors in breast cancer. Our results suggest that the NT5E gene methylation has potential as an epigenetic biomarker in breast cancer.


2020 ◽  
Author(s):  
Chunhe Zhang ◽  
Shaowei Fu ◽  
Luyue Wang ◽  
Fang Wang ◽  
Dan Wu ◽  
...  

Abstract Background This study aimed to determine whether ZNF582 gene methylation and tissue protein expression can be used as a tool with high sensitivity and specificity for cervical cancer screening. We analyzed the correlation between promoter methylation of the zinc finger protein 582 (ZNF582) gene and cervical cancer and high risk HPV16/18 infection. Methods Tissue samples of normal cervical or chronic cervicitis (n=51), CIN (cervical intraepithelial neoplasia) (n=35), and cervical carcinoma (n=68) were tested for HPV16/18 infection by polymerase chain reaction (PCR). We also detected the methylation status of the ZNF582 gene promoter in the same tissues by methylation specific PCR (MSP), then analyzed the correlation between ZNF582 promoter methylation and HPV16/18 infection. Immunohistochemistry was used to analyze ZNF582 gene expression in 152 cervical tissues. We detected ZNF582 mRNA expression in cervical tissues (including cancer and non-cancer) by real-time fluorescence quantitative PCR (qRT-PCR).Results Among 93 high grade cervical lesions (CINII and above) and cervical cancer samples, 57 cases were positive for HPV16/18 infection and 36 cases were negative. ZNF582 gene methylation occurred in 9 out of 51 cases in normal cervical tissues (17.6%), 16 of 35 cases in CIN tissues (45.7%), and 50 of 68 cases in cervical cancer (73.5%). The differences in methylation rate of the three groups were statistically significant (P<0.05). The ZNF582 methylation rate in the positive HPV16/18 infection group was 73.7%, while the negative group was 63.9%. Compared with normal tissues, ZNF582 protein was highly expressed in cervical cancer tissues, but mRNA expression was low.Conclusion While ZNF582 protein is highly expressed in cervical cancer tissues, it was not sufficient for use as a standard for cervical cancer staging. On the other hand, ZNF582 promoter methylation had high specificity and sensitivity in detecting CINII and highly diseased cervical lesions and could be used as a diagnostic marker for cervical cancer of women.


2021 ◽  
Vol 8 ◽  
Author(s):  
Yanping Li ◽  
Shanshan Wang ◽  
Xiaoyuan Zhang ◽  
Rui Yang ◽  
Xiaonan Wei ◽  
...  

It was proven that PGK1 plays a vital role in the proliferation, migration, and invasion of human breast cancer. However, the correlation of PGK1 mRNA and protein expression with clinicopathologic characteristics and prognostic values according to various kinds of breast cancer patient classifications remains unsufficient. Here, we analyzed data from the Oncomine database, Breast cancer Gene-Expression Miner v4.5, TNMplot, MuTarget, PrognoScan database, and clinical bioinformatics to investigate PGK1 expression distribution and prognostic value in breast cancer patients. Our study revealed that the mRNA and protein expression levels of PGK1 were up-regulated in various clinicopathologic types of breast cancer. Moreover, the expression of PGK1 was correlated with mutations of common tumor suppressor genes TP53 and CDH1. In addition, we found that high mRNA level of PGK1 was significantly associated with poor OS, RFS, and DMFS. Notably, Cox regressionanalysis showed that PGK1 could be used as an independent prognostic marker. In summary, the aforementioned findings suggested that PGK1 might be not only explored as a potential biomarker, but also combined with TP53/CDH1 for chemotherapy in breast cancer.


Sign in / Sign up

Export Citation Format

Share Document