European Journal of Molecular & Clinical Medicine

Exercise has been implicated in modulating dopamine in a major amount as neurotransmission, increasing blood flow, etc. The role of exercise in tumor risk reduction, there is now convincing and vital evidence that exercise reduces melanoma and also other tumors. This has to be practiced in each and every place where tumor has grown. The goal of the study is to study the impact of exercise induced dopamine replica in modulating the apoptotic signaling pathway in human melanoma.
The melanoma cell line of human cell (A375) was brought from NCCS, Pune, India. Cell viability test and Gene expression analysis were carried out using MTT and PCR respectively. The results were analyzed using appropriate statistical tools using ANOVA and Duncan’s  test.

Background :   Vigorous growth of cells leads to cancer. Tecoma Stans, a flower which consists of anti - cancer properties. One of such anti - cancer properties is the pro - apoptotic role in melanoma cell line (A-375). This is an in vitro study. The intervention is a hydroethanolic extract of Tecomastans on the melanoma cell line. The gene expressions chosen for this study are P53, caspase 3 and caspase 9. Aim of this study is to assess the pro apoptotic role of Tecomastans in melanoma.
 
Materials and methods : Human skin cancer (A - 375) was brought from NCCS, Pune, India. Cell viability test using MTT assay and Gene expression analysis for P53, caspase 3 and caspase 9 were carried out using MTT and PCR respectively. The results were analyzed using appropriate statistical tools using ANOVA and Duncan’s  test.
 
Results : The study suggestin MTT assay, the percentage of cell viability is observed to decrease on induction of Tecoma Stans.Caspase 9, mRNA  gene expression decreases on induction of dosages 300mg/ml and 400mg/ml of Tecomastans. P53 gene expression increases on induction of dosages 300mg/ml and 400umg/ml of Tecomastans. Caspase 3 gene expression doesn’t show any significance on induction of dosages 300mg/ml and 400mg/ml of Tecomastans.  
 Conclusion : Tecomastans consists of pro apoptotic property which is one of the anti cancer properties in melanoma when acted on the gene expressions P53, caspase 3 and caspase 9.

In recent years, Malignant Melanoma Cancer has caused an increased exponential in human diseases, for this reason, it is essential to detect it from its early stages. Deep Learning is one of the most applied technologies for the analysis of images oriented to medicine, facilitating the diagnosis of diseases in patients, allowing them to make accurate decisions about their health. In this paper, we propose a convolutional neural network architecture derived from the evaluation of different convolutional neural networks that meet the objective of obtaining more pressure on the information of the acquired image. The model for the problem is based on a binary distribution, 1 in case of malignant and 0 for benign, so that melanoma can be detected early and is very useful, for this we used 2 different datasets with a total of 2650 images for training the architecture. Finally, a comparison of the results obtained in other research has been made, where the metrics of our project are considerably improved by having 3 layers. This new architecture is a proposed solution for the optimization of training and validation of images.