Joyshree Nath
Indira Gandhi National Open University, India
Posters-Accepted Abstracts: J Cancer Sci Ther
The micro-RNAs (mi-RNAs) are a kind of short non-coding RNAs, of about 22 nucleotides in length, which modulate and sometimes degrade the mRNA genes thereby regulating a number of cellular functions like apoptosis, cell development, cell differentiation, oncogenesis, tumor suppression and much more. Recent research in this genre has led to the identification of the involvement of mi-RNAs in various disease progressions, including certain types of cancer development. Further genome-wide expression profiling of mi-RNAs has proven to be useful for differentiating various cancer types. In this paper, we have used mi- RNA expression profiles over a large set of breast cancer tumor samples for identifying subtypes of breast cancers. The experimental results demonstrate that mi-RNAs carry a unique signature that distinguishes cancer subtypes. Additional survival analyses based on clinical data also strengthen this claim. Breast cancer is a widely diagnosed cancer type in women and one of the major causes of female oncogenic death throughout the world. A lot of efforts have been made in the earlier decades to understand and combat this type of cancer. Recent advancements in molecular biology have also guided research in this genre. The expression profiles of breast cancer patients have been heavily studied recently by researchers that encompass DNA expression analysis and protein expression analysis, and very recently micro-RNA (mi-RNA) expression analysis etc. In this work, we analyze the expression profiles of mi-RNAs for a large pool of breast cancer tumors with the motivation of identifying their phenotypic subtypes. The objective of this discussion is to throw light on mi-RNAs and their effective signatures in breast cancer subtypes. Due to the tumor suppression and oncogenic functions of mi-RNAs, it has been experimentally highlighted and established that, they have certain behavioral patterns in various cancer types. Along with the classification of diseases, classification of its molecular subtypes is also necessary. In fact, classification of cancer into further subtypes can throw light on the understanding and better cure of cancer. So this discussion is basically on the hypothesis that mi-RNAs have unique signatures that distinguish cancer subtypes in breast tumor samples. This hypothesis is eventually validated using expression analyses followed by survival studies.
Email: joyshreenath@gmail.com
Cancer Science & Therapy received 3968 citations as per Google Scholar report