| Source: |
| Type: |
| Oxidative phosphorylation (or phosphorylation) is the fourth and final step in cellular respiration. Alterations in phosphorylation pathways result in serious outcomes in cancer. Many signalling pathways including Tyrosine kinase, MAP kinase, Cadherin-catenin complex, Cyclin-dependent kinase etc. are major players of the cell cycle and deregulation in their phosphorylation-dephosphorylation cascade has been shown to be manifested in the form of various types of cancers. Many tumors exhibit a well-known metabolic shift known as the Warburg effect, where glycolysis is favored over OxPhos even in the presence of oxygen. However, this is not universal. Many cancers, including certain subpopulations like cancer stem cells, still rely on OXPHOS for energy production, biosynthesis, and survival. – In several cancers, especially during metastasis or in tumors with high metabolic plasticity, OxPhos can remain active or even be upregulated to meet energy demands. In some cancers, high OxPhos activity correlates with aggressive features, resistance to standard therapies, and poor outcomes, particularly when tumor cells exploit mitochondrial metabolism for survival and metastasis. – Conversely, low OxPhos activity can be associated with a reliance on glycolysis, which is also linked with rapid tumor growth and certain adverse prognostic features. Inhibiting oxidative phosphorylation is not a universal strategy against all cancers. Targeting OXPHOS can potentially disrupt the metabolic flexibility of cancer cells, leading to their death or making them more susceptible to other treatments. Since normal cells also rely on OXPHOS, inhibitors must be carefully targeted to avoid significant toxicity to healthy tissues. Not all tumors are the same. Some may be more glycolytic, while others depend more on mitochondrial metabolism. Therefore, metabolic profiling of tumors is crucial before adopting this strategy. Inhibiting OXPHOS is being explored in combination with other treatments (such as chemo- or immunotherapies) to improve efficacy and overcome resistance. In cancer cells, metabolic reprogramming is a hallmark where cells often rely on glycolysis (known as the Warburg effect); however, many cancer types also depend on OXPHOS for energy production and survival. Targeting OXPHOS(using inhibitor) to increase the production of reactive oxygen species (ROS) can selectively induce oxidative stress and cell death in cancer cells. -One side effect of increased OXPHOS is the production of reactive oxygen species (ROS). -Many cancer cells therefore simultaneously upregulate antioxidant systems to mitigate the damaging effects of elevated ROS. -Increase in oxidative phosphorylation can inhibit cancer growth. |
| Prostate Cancer: Alterations in genes such as ERG, SPOP, MYC, androgen receptor (AR), and CHD1, drive PCa progression. TP53 is the most commonly mutated gene in human cancer. HH↑, GLI-1↑, SHH↑ P53↓ The loss of p53 and/or other tumor suppressor genes, reduced capacity for DNA repair, the dysfunction of telomerase activity, and changes in the pathways that govern the growth of cells also mediate the progression of Pca. It has been well documented that Ca2+ influx and MDR1 upregulation are highly associated with GEM metabolism in human pancreatic carcinoma. Increased Growth factor IGF-1/IGF-1R axis activation mediated by both PI3K/Akt or RAF/MEK/ERK system and AR expression remains important in the development and progression of prostate cancer. It has been demonstrated that prostate cancer cells are relatively sensitive to heat stress. Long non-coding RNA MALAT1 has been reported as an oncogenic target in multiple types of cancers, including PC. |
| 4946- | PEITC, | Phenethyl Isothiocyanate Inhibits Oxidative Phosphorylation to Trigger Reactive Oxygen Species-mediated Death of Human Prostate Cancer Cells |
| - | in-vitro, | Pca, | LNCaP | - | in-vitro, | Pca, | PC3 |
Query results interpretion may depend on "conditions" listed in the research papers. Such Conditions may include : -low or high Dose -format for product, such as nano of lipid formations -different cell line effects -synergies with other products -if effect was for normal or cancerous cells
Filter Conditions: Pro/AntiFlg:% IllCat:% CanType:22 Cells:% prod#:% Target#:230 State#:% Dir#:1
wNotes=0 sortOrder:rid,rpid