Identification of Therapeutic Targets and Biomarker for Breast Cancer using Microarray Data Mining

Neuropilin2 is a family of receptor protein involved in endocrine development in Breast and ducts. The bHLH regulates transcription of Neuropilin2 NRP2 of progenitor ductal and endocrine cells to a neurogenesis and neurogen specific transcriptional mechanisms that mediates different signaling pathways. The differentiated genes such as RAB40A, FGFR1, TPM1, NRP2, and CLMN genes regulating the development of islet of endocrine and ductal cells, but the molecular mechanism and classification of gene expression is remain unknown. There are several transcriptional gene mutations may regulate transcription of islet cells of ductal and endocrine regions of the pancreas and intestine that may lead to cancer. However, our knowledge of microarray data analysis methods helps to classify the genes associated with differential and undifferential endocrine lineage, ductal cell and exocrine regions determine neurogenesis and neuron specific signaling pathways. Using Meta analysis of statistical rank correlation algorithm to rank the genes based on gene signatures. The reveal predicts 154 38 genes that were consistently and significantly up regulated 247 62 were down regulated in Breast cancer. Using functional annotation of gene clusters reveals only 47 genes is presumably associated with neuronal development and cell differentiation. Furthermore, this experiment helps to understand candidate genes for novel biomarkers identification, diagnosis and therapeutic approaches to Breast cancer. Dr. Nelson Kennedy Babu | Joe Arun Raja | Vinukumar Luckose | Sajitha Smiley "Identification of Therapeutic Targets and Biomarker for Breast Cancer using Microarray Data Mining" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advanced Engineering and Information Technology , November 2018, URL: https://www.ijtsrd.com/papers/ijtsrd19146.pdf