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| ACC1 (encoded by the ACACA gene) is a key enzyme in de novo lipogenesis. It catalyzes the carboxylation of acetyl‐CoA to malonyl‐CoA, a critical step in fatty acid synthesis. Because lipids are essential for membrane synthesis and energy storage, ACC1 plays a critical role in cell growth and metabolism. ACC1 plays a central role in fatty acid synthesis, and its dysregulation is closely linked to cancer metabolism. In many cancer types, overexpression of ACC1 is associated with: -Enhanced lipid production to support rapid proliferation, -Aggressive tumor behavior and potentially poorer prognosis, -Promotion of a vulnerable metabolic state that could be targeted therapeutically. ACC1’s expression level may serve as a prognostic marker. Studies have suggested that patients with tumors showing high ACC1 expression may have decreased overall survival or may progress more rapidly. |
| 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. |
| 2404- | SFN, | Prostate cancer chemoprevention by sulforaphane in a preclinical mouse model is associated with inhibition of fatty acid metabolism |
| - | in-vitro, | Pca, | LNCaP | - | in-vitro, | Pca, | 22Rv1 | - | in-vivo, | NA, | NA |
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#:1033 State#:% Dir#:1
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