Integrative Meta-Analysis and Network Analysis in miRNA, signalling pathways and existing therapeutics in HNSCC to confer possible strategies to carry out further research and development Sagnik Mitra1, Shivangi Srivastava1, Aavishkar Ghosh1, Niladri Ganguly1 • 1st author: Sagnik Mitra (E-Mail: 1560084@kiitbiotech.ac.in) • Other authors: Shivangi Srivastava (E-mail: 1560100@kiitbiotech.ac.in) Aavishkar Ghosh (E-mail: 1560001@kiitbiotech.ac.in)
INSCR International Conference 2018 (IIC-2018) on 'Trends in Biotechnology for innovation in Health and Environment'
Affiliation: 1School of Biotechnology, KIIT UNIVERSITY, Bhubaneswar, Odisha- 751024
Abstract
Results
Recent developments in next generation sequencing and array-based methods for detecting genome-wide mutations have created an avalanche of data on cancer genomics. Particularly, the study of mRNA and microRNA (miRNA) expression profiles of cells and tissue has become a major tool for therapeutic development against cancer. Nevertheless, the challenge is the integrative analysis of cancer genomics data that can provide both mechanistic and biological insights into the role of miRNA and their corresponding signalling pathways in a specific cancer type(here head and neck cancer). As per the literature, Head and Neck Squamous Cell Carcinoma (abbreviated as HNSCC) are the sixth most common cancers worldwide and third most common cancers in developing world.
Search strategies: Word Cloud based(left) and free text words(right)
Against this backdrop, we propose to give a comprehensive study on potential circulating miRNA , the underpinning signalling pathways and existing therapeutics which have been experimentally reported to be associated with HNSCC. The primary method of data collection is literature mining of the PubMed database and peer-reviewed journals based on keyword(word cloud based) search. Subsequently, the data will be manually checked to remove any heterogeneity/redundancy for which Cochran Q analysis will be done. Publications and bioinformatic tools bias needs to be estimated by funnel plots and Egger’s regression test. The choice based on statistics and data curation will give the insight into which microRNA study needs to be performed and its effect on the particular signalling pathway associated with HNSCC and possible developments that can be done in therapeutics. This study of integrative meta-analysis along with local network analysis and connecting them at a broader respect will give a holistic approach which will provide a road-map for experimental as well as computational studies to facilitate further R&D cancer research. We believe that this approach will be the most rational as it will pave way for scholars and scientists to do targeted research on circulatory microRNA affecting signalling pathways in HNSCC and developing therapeutics against it in various forms.
Parameters/Characteristics that can be taken into account
Basic Principle Research work on individual miRNA , signalling pathways and developing therapeutic studies are already being done. But the approach to integrate all these knowlwedge to summarise and conclude which miRNA or miRNA cluster being most responsible along with most reported signaling pathways that may or may not have an association with miRNA and the possible therapeutics reported and how we can further modify them. This work is the conglomeration of all that knowledge. In fact the following template can be used as a generalised format for any type of disease with the change of certain factors.
Method
Statistical tools to analyse data
INMEX(left) and VisANT 4.0(right)
CONCLUSION • Work has already been done on diseases like osteoarthritis and lung cancer but no reported paper is still avalaible for HNSCC. • This layout can be used in any kind of disease with the right set of parameters and is a benchmark procedure for starting therapeutic research on diseases. • The results of this operation is based on certain inclusion and exclusion criteria without which the conclusions drawn could be biased e.g. full-text articles needs to be considered. • This comprehensive approach is suitable for targeted research groups which might prove to be beneficial in the long run in disease prevalence for an indefinite period.
DRAWBACKS • This approach might give all the possible forms of information in an integrated manner but there might be bias in the parameters considered each time for a given research group.
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