Cancer has remarkable molecular circuitry connections. Cancer treatment is complex and depends on a number of factors, including genetic, transcriptomic, epigenetic and environmental factors. Advanced Cancer therapeutics research requires molecular data integration and network and pathway analysis. It is essential to know the genes and proteins involved in cancer networks and pathways for the better treatment of cancer. We conducted an extensive manual text mining in our study to compile the genes involved in cancer as study of interest. We used various public biological databases to compile the cancer associated genes in the human genome. Total of 869 cancer associated genes in human genome was extracted. In this study, an extensive public biological databases text mining was performed and extracted the cancer associated genes in the human genome.
