Author:
Ji Zhiwei,Moore Jade,Devarie-Baez Nelmi O.,Lewis Joshua,Wu Hanzhi,Shukla Kirtikar,Lopez Elsa I. Silva,Vitvitsky Victor,Key Chia-Chi Chuang,Porosnicu Mercedes,Kemp Melissa L.,Banerjee Ruma,Parks John S.,Tsang Allen W.,Zhou Xiaobo,Furdui Cristina M.
Abstract
Redox metabolism is increasingly investigated in cancer as driving regulator of tumor progression, response to therapies and long-term patients’ quality of life. Well-established cancer therapies, such as radiotherapy, either directly impact redox metabolism or have redox-dependent mechanisms of action defining their clinical efficacy. However, the ability to integrate redox information across signaling and metabolic networks to facilitate discovery and broader investigation of redox-regulated pathways in cancer remains a key unmet need limiting the advancement of new cancer therapies. To overcome this challenge, we developed a new constraint-based computational method (COSMro) and applied it to a Head and Neck Squamous Cell Cancer (HNSCC) model of radiation resistance. This novel integrative approach identified enhanced capacity for H2S production in radiation resistant cells and extracted a key relationship between intracellular redox state and cholesterol metabolism; experimental validation of this relationship highlights the importance of redox state in cellular metabolism and response to radiation.
Funder
National Cancer Institute
National Institute of General Medical Sciences
National Institute of Arthritis and Musculoskeletal and Skin Diseases
Cited by
3 articles.
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