scholarly journals Gene-associated methylation status of ST14 as a predictor of survival and hormone receptor positivity in breast Cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yang-Hong Dai ◽  
Ying-Fu Wang ◽  
Po-Chien Shen ◽  
Cheng-Hsiang Lo ◽  
Jen-Fu Yang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Dna Methylation ◽  
Prognostic Value ◽  
Potential Role ◽  
Cox Model ◽  
Methylation Status ◽  
Specific Gene ◽  
Molecular Features ◽  
Gene Sets

Abstract Background Genomic profiles of specific gene sets have been established to guide personalized treatment and prognosis for patients with breast cancer (BC). However, epigenomic information has not yet been applied in a clinical setting. ST14 encodes matriptase, a proteinase that is widely expressed in BC with reported prognostic value. Methods In this present study, we evaluated the effect of ST14 DNA methylation (DNAm) on overall survival (OS) of patients with BC as a representative example to promote the use of the epigenome in clinical decisions. We analyzed publicly available genomic and epigenomic data from 1361 BC patients. Methylation was characterized by the β-value from CpG probes based on sequencing with the Illumina Human 450 K platform. Results A high mean DNAm (β > 0.6779) across 34 CpG probes for ST14, as the gene-associated methylation (GAM) pattern, was associated with a longer OS after adjusting age, stage, histology and molecular features in Cox model (p value < 0.001). A high GAM status was also associated with a higher XBP1 expression level and higher proportion of hormone-positive BC (p value < 0.001). Pathway analysis revealed that altered GAM was related to matrisome-associated pathway. Conclusions Here we show the potential role of ST14 DNAm in BC prognosis and warrant further study.

DNA methylation and the potential role of demethylating agents in prevention of progressive chronic kidney disease

2018 ◽  
Vol 32 (10) ◽  
pp. 5215-5226 ◽  
Author(s):  
Benjamin P. Larkin ◽  
Sarah J. Glastras ◽  
Hui Chen ◽  
Carol A. Pollock ◽  
Sonia Saad
Keyword(s):  
Chronic Kidney Disease ◽  
Dna Methylation ◽  
Kidney Disease ◽  
Potential Role ◽  
Demethylating Agents

scholarly journals DNA Methylation Based Molecular Subtypes Predict Prognosis in Breast Cancer Patients

2021 ◽  
Vol 28 ◽  
pp. 107327482098851
Author(s):  
Zeng-Hong Wu ◽  
Yun Tang ◽  
Yan Zhou
Keyword(s):  
Breast Cancer ◽  
Dna Methylation ◽  
Molecular Subtypes ◽  
Methylation Status ◽  
The Cancer Genome Atlas ◽  
Training Dataset ◽  
Consensus Clustering ◽  
Breast Cancer Patients ◽  
Cancer Subtypes ◽  
Novel Biomarkers

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.

scholarly journals The Roles of DNA Demethylases in Triple-Negative Breast Cancer

2021 ◽  
Vol 14 (7) ◽  
pp. 628
Author(s):  
Shoghag Panjarian ◽  
Jean-Pierre J. Issa
Keyword(s):  
Breast Cancer ◽  
Dna Methylation ◽  
Tumor Suppressor Genes ◽  
Hormone Receptors ◽  
Triple Negative ◽  
Breast Cancers ◽  
Therapeutic Implications ◽  
High Propensity ◽  
Dna Methylation Profile

Triple-negative breast cancers (TNBCs) are very heterogenous, molecularly diverse, and are characterized by a high propensity to relapse or metastasize. Clinically, TNBC remains a diagnosis of exclusion by the lack of hormone receptors (Estrogen Receptor (ER) and Progesterone Receptor (PR)) as well as the absence of overexpression and/or amplification of HER2. DNA methylation plays an important role in breast cancer carcinogenesis and TNBCs have a distinct DNA methylation profile characterized by marked hypomethylation and lower gains of methylations compared to all other subtypes. DNA methylation is regulated by the balance of DNA methylases (DNMTs) and DNA demethylases (TETs). Here, we review the roles of TETs as context-dependent tumor-suppressor genes and/or oncogenes in solid tumors, and we discuss the current understandings of the oncogenic role of TET1 and its therapeutic implications in TNBCs.

The potential role of ERβ isoforms in the clinical management of breast cancer

2008 ◽  
Vol 53 (4) ◽  
pp. 374-380 ◽  
Author(s):  
C A Green ◽  
M B Peter ◽  
V Speirs ◽  
A M Shaaban
Keyword(s):  
Breast Cancer ◽  
Clinical Management ◽  
Potential Role

scholarly journals Evaluation of serum ATX and LPA as potential diagnostic biomarkers in patients with pancreatic cancer

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jiang Chen ◽  
Hongyu Li ◽  
Wenda Xu ◽  
Xiaozhong Guo
Keyword(s):  
Pancreatic Cancer ◽  
Poor Prognosis ◽  
Prognostic Value ◽  
Potential Role ◽  
Early Stage ◽  
Serum Levels ◽  
Diagnostic Efficacy ◽  
Diagnostic Biomarkers ◽  
The Poor

Abstract Background Pancreatic cancer (PC) is a devastating disease that has a poor prognosis and a total 5-year survival rate of around 5%. The poor prognosis of PC is due in part to a lack of suitable biomarkers that can allow early diagnosis. The lysophospholipase autotaxin (ATX) and its product lysophosphatidic acid (LPA) play an essential role in disease progression in PC patients and are associated with increased morbidity in several types of cancer. In this study, we evaluated both the potential role of serum LPA and ATX as diagnostic markers in PC and their prognostic value for PC either alone or in combination with CA19-9. Methods ATX, LPA and CA19-9 levels were evaluated using ELISA of serum obtained from PC patients (n = 114) healthy volunteers (HVs: n = 120) and patients with benign pancreatic diseases (BPDs: n = 94). Results Serum levels of ATX, LPA and CA19-9 in PC patients were substantially higher than that for BPD patients or HVs (p < 0.001). The sensitivity of LPA in early phase PC was 91.74% and the specificity of ATX was 80%. The levels of ATX, LPA and CA19-9 were all substantially higher for early stage PC patients compared to levels in serum from BPD patients and HVs. The diagnostic efficacy of CA19-9 for PC was significantly enhanced by the addition of ATX and LPA (p = 0.0012). Conclusion Measurement of LPA and ATX levels together with CA19-9 levels can be used for early detection of PC and diagnosis of PC in general.

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