Hypomethylation may drive CLPB overexpression which predicts poor survival outcomes in breast cancer
SONMEZ, S.; NOYAN, S.; ACUN, T.
Show abstract
BackgroundCLPB has oncogenic properties in leukemia and melanoma. We aimed to reveal the subtype-specific expression of the CLPB gene in breast cancer, its effect on survival, and genetic/epigenetic alterations that might regulate the expression. MethodsExpression levels and prognostic signatures of CLPB gene in breast cancer patients were evaluated by using in-silico tools. RT-PCR and Q-RT-PCR methods were used to examine CLPB expression in cell lines. Genetic alterations of CLPB were revealed by employing Sanger Cosmic database. Combined bisulfite restriction analysis and UALCAN tool were used to examine the methylation status of the CLPB promoter in cell lines and samples, respectively. ResultsCLPB expression is significantly higher in all breast cancer subtypes compared to normals, and it is associated with worse survival values. Genetic alterations of CLPB are rare. Cell lines express CLPB gene at moderate to high levels. The promoter region of CLPB is hypomethylated in samples and cell lines. ConclusionsWe suggest CLPB gene as a therapeutic target and biomarker candidate in breast cancer. The rarity of genetic alterations suggests that they do not affect CLPB regulation, but promoter hypomethylation would be one of the reasons for its high expression in breast cancer.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Prevalence and spectrum of germline BRCA1 and BRCA2 mutations in multiethnic cohort of breast cancer patients in Brunei Darussalam 96%
- The Impact of Variance in Carnitine Palmitoyltransferase-1 Expression on Breast Cancer Prognosis is Stratified by Clinical and Anthropometric Factors 95%
- The novel microRNAs hsa-miR-nov7 and hsa-miR-nov3 are over-expressed in locally advanced breast cancer 95%
Similar papers in this journal
Similar papers in this journal
- Hormone Receptor-status Prediction in Breast Cancer Using Gene Expression Profiles and Their Macroscopic Landscape 96%
- Impact of BRCA mutation status on tumor infiltrating lymphocytes (TILs), response to treatment, and prognosis in breast cancer patients treated with neoadjuvant chemotherapy. 95%
- From Variability to Standardization: The Impact of Breast Density on Background Parenchymal Enhancement in Contrast-Enhanced Mammography and the Need for a Structured Reporting System 94%
Similar papers in this journal
- Immunohistochemical Profiling of Histone Modification Biomarkers Identifies Subtype-Specific Epigenetic Signatures and Potential Drug Targets in Breast Cancer 96%
- Unveiling epigenetic regulatory elements associated with breast cancer development 95%
- Pro-apoptotic and anti-invasive properties underscore the tumor suppressing impact of myoglobin on subset of human breast cancer cells 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.