Cancer is a disease of altered signaling and metabolism

causing uncontrolled division and survival of transformed cells. A host of molecules

factors

and conditions have been designated as underlying causes for the inception and progression of the disease. An enormous amount of data is available

system-wide interaction networks of the genes and proteins are generated over the years and have now reached up to a level of saturation

where we need to shift our focus to the more advanced and comprehensive methods and approaches of data analysis and visualization. Even with the availability of enormous literature on this one of the most pressing pathological conditions

a successful cure of the disease seems to be obscure. New treatment plans

like immunotherapy and precision medicine

are being employed for different studies. Nevertheless

their actual benefits to the patients would be known only after the evaluation of clinical data over the next few years. Therefore

we need to look at few fundamental challenges that should be addressed in more depth before we could devise better

rigorous

and comprehensive treatment plans and may successfully reach a possible cure of the disease. This article aims at bringing attention towards some fundamental gaps in our approach towards the disease that leads to failure in devising successful therapeutics.