Cancer is a large group of diseases that occur when abnormal cells divide rapidly and can spread to other tissue and organs. These rapidly growing cells may cause tumors. They may also disrupt the body’s regular function. Cancer is one of the leading causes of death in the world. According to the World Health Organization Trusted Source, cancer accounted for almost 1 in 6 deaths in 2020. Experts are working hard to test out new cancer treatments every day. Differentiating features of malignant and benign lesion are well established; these include rapid growth, increased cell turn-over, invasive growth, metastases, vascular or lymphatic channel invasion for malignant lesions. There are many exceptions to these attributes of cancer. There are overlaps between benign and malignant lesions. The traditional model of cancers envisaged a “normal cell” transformed to “atypical or dysplastic“ cell with progression into invasive of malignant cell. This is the model that only assumes stochastic generation of cells capable of the behavior of metastasis and progression and cellular heterogeneity of cancers. Cancer initiation, driver mutations, progression and metastases are common attributes for both stochastic and cancer stem cell models; cancer stem cells possess attributes that enhance survival in all environments hence more suitable as model of cancer. Integrated models that capture every essence of a cancer could enhance the ability to target different components of cancer for maximum therapeutic effect. The prior detection and treatment of cancer could lower the future progression of cancer associated burden in the community