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The contribution of germline predisposition gene mutations to clinical subtypes of invasive breast cancer from a clinical genetic testing cohort.
UCSF GRAPHPAD PRISM SERIES
Frequency of germline mutations in 25 cancer susceptibility genes in a sequential series of patients with breast cancer. Malignant granular cell tumor of the breast. However, extensive investigations at the tissue level and in in vivo are required to further strengthen their role as a potential biomarker for prognosis of breast cancer.Ĭhetty R., Kalan M. These genes might be predictors of stage, metastasis, receptor, and treatment status and used as new biomarkers for breast cancer diagnosis. Tertiary structure of KLF3 exhibited 80.72% structure conservation with its template KLF4 and was 95.06% structurally favored by a Ramachandran plot. However, there was 2-fold increased expression of TPD52 with p value < 0.001 relative to control. The expression of KLF3, miR-124, and PKC ε genes was decreased (fold change: 0.076443, 0.06969, and 0.011597, respectively).
UCSF GRAPHPAD PRISM SOFTWARE
For the construction of a 3D model, various bioinformatics software programs, Swiss Model and UCSF Chimera, were employed. Expression of genes was analyzed through real-time PCR using the delta cycle threshold method, and statistical significance was calculated by two-way ANOVA in Graphpad Prism. Moreover, this study was also aimed at predicting the tertiary structure of KLF3 protein. The focus of this study was to explore the influence of Krüppel-like factor 3 (KLF3), tumor protein D52 (TPD52), microRNA 124 (miR-124), and protein kinase C epsilon (PKC ε) expression on breast cancer. So, there is a need to further explore the nature of the disease at the transcriptome level. Unfortunately, their behavior with relevance to clinical significance remained poorly understood. The predisposition of breast cancer has been attributed to a number of genetic factors, associated with the worst outcomes. These features are associated with different histological forms, distinctive biological characteristics, and clinical patterns.
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It actually develops from breast tissue and has heterogeneous and complex nature that constitutes multiple tumor quiddities. Breast cancer is the most prevailing disease among women. Molecular graphics were prepared with UCSF CHIMERA software. The plots in panels A and C were drawn with GRAPHPAD PRISM 5.0 software (GraphPad Software, La Jolla, CA, USA). (D) Superposition of cathepsin K structures with extreme values of the first two PCs (PDB accession codes 1BY8, 1U9W, 1YK7 and 3OVZ). The diagram of secondary structure elements is aligned with the positions in the plot. The analysis was performed on a sample of 55 non-redundant cathepsin K structures.
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(C) Root mean square fluctuations (RMSF) in cathepsin K. (B) Conformational variability contained within PC1 (left) and PC2 (right) shown in worm representation of a hypothetical protein consisting of 178 non-gap positions in the sequence alignment of the ensemble. The diagram of secondary structure elements is aligned with the positions in the plot and the numbering of elements corresponds to Fig 1A. (A) Root mean square fluctuations (RMSF) at 178 non-gap positions in the sequence alignment of the ensemble used for PCA.