scholarly journals High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics

2017 ◽  
Vol 37 (8) ◽  
Keyword(s):  
Breast Cancer ◽  
Screening Method ◽  
High Efficient ◽  
Key Genes ◽  
Efficient Screening

scholarly journals Key Genes and Prognostic Analysis in HER2+ Breast Cancer

2021 ◽  
Vol 20 ◽  
pp. 153303382098329
Author(s):  
Yujie Weng ◽  
Wei Liang ◽  
Yucheng Ji ◽  
Zhongxian Li ◽  
Rong Jia ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Differentially Expressed Genes ◽  
Protein Interaction ◽  
Differentially Expressed ◽  
Protein Kinase Activity ◽  
Protein Protein Interaction ◽  
Risk Of Death ◽  
Her2 Breast Cancer ◽  
Key Genes

Human epidermal growth factor 2 (HER2)+ breast cancer is considered the most dangerous type of breast cancers. Herein, we used bioinformatics methods to identify potential key genes in HER2+ breast cancer to enable its diagnosis, treatment, and prognosis prediction. Datasets of HER2+ breast cancer and normal tissue samples retrieved from Gene Expression Omnibus and The Cancer Genome Atlas databases were subjected to analysis for differentially expressed genes using R software. The identified differentially expressed genes were subjected to gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses followed by construction of protein-protein interaction networks using the STRING database to identify key genes. The genes were further validated via survival and differential gene expression analyses. We identified 97 upregulated and 106 downregulated genes that were primarily associated with processes such as mitosis, protein kinase activity, cell cycle, and the p53 signaling pathway. Visualization of the protein-protein interaction network identified 10 key genes ( CCNA2, CDK1, CDC20, CCNB1, DLGAP5, AURKA, BUB1B, RRM2, TPX2, and MAD2L1), all of which were upregulated. Survival analysis using PROGgeneV2 showed that CDC20, CCNA2, DLGAP5, RRM2, and TPX2 are prognosis-related key genes in HER2+ breast cancer. A nomogram showed that high expression of RRM2, DLGAP5, and TPX2 was positively associated with the risk of death. TPX2, which has not previously been reported in HER2+ breast cancer, was associated with breast cancer development, progression, and prognosis and is therefore a potential key gene. It is hoped that this study can provide a new method for the diagnosis and treatment of HER2 + breast cancer.

scholarly journals Cyanuric Chloride Containing Chalcones for Possible Breast Cancer Treatment: Synthesis, Antimicrobial and in silico Screening

2019 ◽  
Vol 32 (2) ◽  
pp. 408-414
Author(s):  
Revathy Selvaraj ◽  
J. Suresh ◽  
A. Arun
Keyword(s):  
Breast Cancer ◽  
In Silico ◽  
Topoisomerase Ii ◽  
Excellent Result ◽  
Screening Method ◽  
Cyanuric Chloride ◽  
Gram Negative Bacteria ◽  
In Silico Screening ◽  
Gram Negative ◽  
Mic Value

In this work, we have synthesized efficient antibacterial compounds with anticancer novel molecules based on cyanuric chloride containing chalcone moiety. For this, novel triazine-based organic molecules were synthesized by using cyanuric chloride and 2,4-dichloro-1-ene(4-hydroxyphenyl)phenone and characterized by elemental analysis, FT-IR, NMR and UV-visible spectrometry techniques. Melting point of the molecules were increased with an increase in substitution on cyanuric chloride. The minimum inhibitory concentration (MIC) value of the synthesized compounds showed an excellent result on Gram-negative bacteria with low MIC value of 1.95 μg/mL. Gram-positive bacteria showed little resistance to the synthesized drug. The synthesized compounds were tested for their use as an anticancer drug using in silico screening method. The synthesized compounds in silico molecular docking method using breast cancer protein (BRCA2) confirms that triazine derivative with all three chlorine molecules replaced by 2,4-dichloro-1-ene(4-hydroxyphenyl)phenone showed highest binding energy with the value of -9.1900 Kcal/mol which is in agreement with the observed high MIC value obtained for Gram-negative bacteria. The synthesized molecules preferentially targeted the topoisomerase II of the bacteria. Overall, an efficient antimicrobial drug is synthesized using a simple preparation method.

scholarly journals Risk factors for the development of brain metastases in patients with HER2-positive breast cancer

ESMO Open ◽  
2018 ◽  
Vol 3 (6) ◽  
pp. e000440 ◽  
Author(s):  
Christian Maurer ◽  
Lorraine Tulpin ◽  
Michel Moreau ◽  
Cristina Dumitrescu ◽  
Evandro de Azambuja ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Brain Metastases ◽  
Cox Regression ◽  
Lung Metastases ◽  
Screening Method ◽  
Outcome Analysis ◽  
Asymptomatic Patients ◽  
Number Of Patients ◽  
Positive Breast Cancer

BackgroundPatients with metastatic human epidermal growth factor receptor 2-positive breast cancer (HER2+ BC) frequently experience brain metastases (BM). We aimed to define risk factors for the development of BM in patients with HER2+ BC and to report on their outcome.MethodsThis is a retrospective analysis of patients diagnosed with HER2+ BC between January 2000 and December 2014 at Institut Jules Bordet, Belgium. Statistical analyses were conducted with SAS V.9.4 using Kaplan-Meier method and Cox regression analyses.ResultsA total of 483 patients were included of whom 108 (22.4%) developed metastases and 52 (10.8%) BM. Among 96 metastatic patients without BM at diagnosis, 40 (41.7%) developed BM in the course of their disease. In multivariate analysis, risk factors for the development of BM were age ≤40 years (HR 2.10, 95 % CI 1.02 to 4.36), tumour size >2 cm (HR 4.94, 95% CI 1.69 to 14.47), nodal involvement (HR 3.48, 95% CI 1.47 to 8.25), absence or late start (≥6 months after initial diagnosis) of adjuvant anti-HER2 treatment (HR 3.79, 95% CI 1.52 to 9.43 or HR 2.65, 95% CI 1.03 to 6.82) and the development of lung metastases as first site of relapse (HR 6.97, 95% CI 3.41 to 14.24). Twenty-two patients with HER2+ BC and BM sent to our institute for further treatment were included in the outcome analysis. Asymptomatic patients at the time of BM diagnosis showed a better overall survival than symptomatic patients (HR 0.49, 95% CI 0.25 to 0.94).ConclusionA considerable number of patients with metastatic HER2+ BC will develop BM. Screening of patients with risk factors for BM might lead to early detection and better outcome. However, randomised controlled trials examining the use of MRI as a screening method for BM in patients with metastatic BC are warranted before such an approach can be recommended.

A Rapid and Efficient Screening Method for Antibacterial Compound-Producing Bacteria

2017 ◽  
Vol 27 (8) ◽  
pp. 1441-1448 ◽  
Author(s):  
Sachithra Amarin Hettiarachchi ◽  
Su-Jin Lee ◽  
Youngdeuk Lee ◽  
Young-Kyung Kwon ◽  
Mahanama De Zoysa ◽  
...  
Keyword(s):  
Screening Method ◽  
Antibacterial Compound ◽  
Efficient Screening

Identification of key genes of hesperidin in inhibition of breast cancer stem cells by functional network analysis

2021 ◽  
Vol 90 ◽  
pp. 107427
Author(s):  
Adam Hermawan ◽  
Annisa Khumaira ◽  
Muthi Ikawati ◽  
Herwandhani Putri ◽  
Riris Istighfari Jenie ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Stem Cells ◽  
Network Analysis ◽  
Cancer Stem Cells ◽  
Functional Network ◽  
Breast Cancer Stem Cells ◽  
Key Genes

scholarly journals The application of “plug-in molecules” method in novel strobilurin fungicides screening

RSC Advances ◽  
2020 ◽  
Vol 10 (70) ◽  
pp. 42804-42809
Author(s):  
Xuelian Liu ◽  
Dongyan Yang ◽  
Fahong Yin ◽  
Jia-Qi Li ◽  
Yumei Xiao ◽  
...  
Keyword(s):  
Screening Method ◽  
Molecular Method ◽  
Active Compounds ◽  
Highly Efficient ◽  
Strobilurin Fungicides ◽  
Efficient Screening

In this study, the “plug-in molecular” method was firstly used to screen new strobilurin fungicides. The results indicated this is a highly efficient screening method for active compounds with guiding significance for the synthesis of new pesticides.

Multimodal Ultrasonic Imaging for Breast Cancer Detection

2012 ◽  
Vol 37 (3) ◽  
pp. 253-260 ◽  
Author(s):  
Jorge Camacho ◽  
Luis Medina ◽  
Jorge F. Cruza ◽  
José M. Moreno ◽  
Carlos Fritsch
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Current Practice ◽  
Ultrasonic Transducer ◽  
Screening Method ◽  
Phase Coherence ◽  
Breast Cancer Detection ◽  
Surrounding Tissue ◽  
Dense Breast Tissue ◽  
Breast Phantom

Abstract Ultrasound is used for breast cancer detection as a technique complementary to mammography, the standard screening method. Current practice is based on reflectivity images obtained with conventional instruments by an operator who positions the ultrasonic transducer by hand over the patient’s body. It is a non-ionizing radiation, pain-free and not expensive technique that provides a higher contrast than mammography to discriminate among fluid-filled cysts and solid masses, especially for dense breast tissue. However, results are quite dependent on the operator’s skills, images are difficult to reproduce, and state-of-the-art instruments have a limited resolution and contrast to show micro-calcifications and to discriminate between lesions and the surrounding tissue. In spite of their advantages, these factors have precluded the use of ultrasound for screening. This work approaches the ultrasound-based early detection of breast cancer with a different concept. A ring array with many elements to cover 360◦ around a hanging breast allows obtaining repeatable and operator-independent coronal slice images. Such an arrangement is well suited for multi-modal imaging that includes reflectivity, compounded, tomography, and phase coherence images for increased specificity in breast cancer detection. Preliminary work carried out with a mechanical emulation of the ring array and a standard breast phantom shows a high resolution and contrast, with an artifact-free capability provided by phase coherence processing.

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