Normal epithelial cells receive proper signals for growth and survival from their attachment to the underlying extracellular matrix (ECM). They perceive detachment from the ECM as a stress and die. This cell death triggered by matrix detachment is known as anoikis. However, cancer cells are anoikis-resistant. Under normal (adherent) growth conditions, the serine-threonine protein kinase Akt plays a major role in cell proliferation and protein synthesis, maintaining an anabolic state in the cancer cell. In contrast, we showed that the stress due to matrix deprivation is sensed by yet another serine-threonine kinase AMP-activated protein kinase (AMPK) in response to a spike in intracellular calcium. We also showed the existence of an AMPK-Akt double-negative feedback loop in breast cancer cells that regulates their adaptation to matrix deprivation. We illustrated a metabolic switching from an anabolic to a catabolic state upon matrix-deprivation, which aids cancer cell stress-survival. In this study, we utilized these experimental data and developed a mathematical model to capture the pathophysiology of matrix-deprived state in breast cancer cells. To do so, we used the mathematical framework of an insulin-glucagon hormone signaling network that maintains the balance between anabolism and catabolism to maintain metabolic homeostasis. Using this model, we identified several proteins which are perturbed upon matrix deprivation in addition to AMPK and Akt. These include IRS, PI3K, GLUT1, IP3, DAG cAMP, PKA and PDE3. Molecular perturbations revealed that several feedback/crosstalks like PKC to IRS, S6K1 to IRS, cAMP to PKA, AMPK to Akt and DAG to PKC are crucial in maintaining the metabolic switching from an anabolic to catabolic state upon matrix deprivation. Upon removal of these feedback/crosstalks, metabolic switching is curbed. Thus, we have developed a unique mathematical framework to simulate the molecular interplay with metabolic adaptations critical for cancer metastasis.