is funded by the Department of Science and Technology, Government of India. Triple Negative Breast Cancer (TNBC) is a type of breast cancer characterized by the lack of expression of hormone receptors. TNBC is an aggressive breast cancer, very often irresponsive to treatment. Moreover, TNBC has more propensity to metastasize to other organs. Thus, identifying mechanisms of this disease spread, as well as structure of clonal mutations might enable pre-clinical laboratory investigations for different therapeutic interventions in this aggressive breast cancer subtype. The mapping study proposes longitudinally sampling triple negative breast cancer (TNBC) patients through the course of their disease and subject these clinical samples to big data OMICS technologies. We then aim to identify genetic aberrations across the different clinical phases of the disease to re-construct the clonal architecture of the tumour and identify clonal dynamics of relapse. We hypothesize that these clonal mutations evolved under selective pressure of therapy, directly influence the clinical outcome. This study thus help us understand, if certain clones may have more propensity for disease relapse and resistance to therapy.