| Autor: |
Zhiwei Ji, Moore, Jade, Devarie-Baez, Nelmi O., Lewis, Joshua, Hanzhi Wu, Shukla, Kirtikar, Lopez, Elsa I. Silva, Vitvitsky, Victor, Chia-Chi Chuang Key, Porosnicu, Mercedes, Kemp, Melissa L., Banerjee, Ruma, Parks, John S., Tsang, Allen W., Xiaobo Zhou, Furdui, Cristina M. |
| Předmět: |
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| Zdroj: |
Frontiers in Oncology; 1/4/2023, Vol. 12, p1-19, 19p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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