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| Gambogic acid is a naturally occurring xanthonoid extracted from the resin of trees belonging to the Garcinia genus—most notably, Garcinia hanburyi. This tree is native to regions in Southeast Asia, particularly found in areas of China, India, and neighboring countries. Gambogic acid (GA; C38H44O8, MW: 628.76), a polyprenylated xanthone and a widely used coloring agent, is the main active ingredient of gamboges secreted from the Garcinia hanburyi tree ([3, 4], which mainly grows in Southeast Asia. GA has been approved by the Chinese FDA for the treatment of solid cancers in Phase II clinical trials. Pathways: -evidence suggesting that it can inhibit thioredoxin reductase (TrxR). -can indeed lead to an increase in reactive oxygen species (ROS) levels -Gambogic acid can trigger mitochondrial dysfunction, leading to cytochrome c release -influences death receptors -Inhibition of NF-κB Signaling -Inhibition of VEGF Pathway -Cell Cycle Arrest: -p53 Activation
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| AIF is a mitochondrial oxidoreductase that contributes to cell death programmes and participates in the assembly of the respiratory chain. Nuclear translocation of AIF occurs during cell death and has been associated with human disorders. Expression Levels: AIF is often found to be overexpressed in several types of cancers, including breast, lung, and colorectal cancers. The expression of AIF can vary significantly between different tumor types and even among patients with the same type of cancer. Survival Rates: High levels of AIF expression have been associated with poor prognosis in certain cancers, indicating a potential role in tumor aggressiveness and metastasis. Conversely, low AIF expression may correlate with better survival outcomes in some contexts. Overexpression: In many cancers, AIF is overexpressed, which is often associated with poor prognosis, increased tumor aggressiveness, and resistance to therapy. |
| 1967- | GamB, | Gambogic acid induces apoptotic cell death in T98G glioma cells |
| - | in-vitro, | GBM, | T98G |
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:% Cells:% prod#:302 Target#:520 State#:% Dir#:2
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