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| Copper Metal Copper levels are considerably elevated in various malignancies. Copper [Cu(II)] is a transition and trace element in living organisms. It increases reactive oxygen species (ROS) and free-radical generation that might damage biomolecules like DNA, proteins, and lipids. RDA: 900 mcg, ULs: 10,000mcg Copper (dietary/physiology) ≠ copper-loading therapeutics ≠ copper nanoparticles. For Cu nanoparticles, the dominant and most reproducible theme is toxicity via ROS → mitochondrial damage/genotoxicity, not clean tumor selectivity. - Copper acts as a critical cofactor for numerous enzymes involved in redox reactions, energy production, and connective tissue formation. - Increased copper levels in the tumor microenvironment can enhance angiogenic signaling and thus supply the tumor with necessary oxygen and nutrients, facilitating tumor growth and metastasis. - Copper can participate in redox cycling reactions, similar to the Fenton reaction, leading to the production of reactive oxygen species (ROS). - Cancer cells often exhibit altered copper homeostasis, with some studies showing elevated copper levels in tumor tissues relative to normal tissues. Copper serves a dual role in cancer: Imbalanced copper metabolism promotes tumor cell proliferation and survival by activating the receptor tyrosine kinase, PI3K/Akt/mTOR, and MAPK/ERK signaling pathways, while cuproptosis suppresses tumor growth by inducing cell death and activating immune responses Two main approaches are: - Copper Chelation: Drugs that bind copper (chelators) can reduce the bioavailability of copper, potentially inhibiting angiogenesis and other copper-dependent tumor processes. - Copper Ionophores: These agents facilitate the transport of copper into cancer cells to induce cytotoxicity by elevating intracellular copper levels beyond a tolerable threshold, leading to cell death. - Depletion of glutathione and stimulation of lipid peroxidation, catalase and superoxide dismutase. - Studies have shown that the level of copper in tumour cells and blood serum from cancer patients is elevated, and the conclusion is that cancer cells need more copper than healthy cells. (but also sometimes depleted). - Copper is a double-edged sword, maintaining normal cell development and promoting tumor development. - Tumor tissue has a higher demand for copper and is more susceptible to copper homeostasis, copper may modulate cancer cell survival through reactive oxygen species (ROS) excessive accumulation, proteasome inhibition and anti-angiogenesis. Copper and Cu NanoParticles — Copper is an essential redox-active trace metal and transition element that becomes oncology-relevant through copper homeostasis, copper-dependent enzymes, copper chelation, copper ionophore/copper-loading strategies, and copper-based nanoparticles. The formal classification is mixed: elemental/ionic metal biology, copper coordination chemistry, micronutrient/mineral exposure, and inorganic/nano-oncology modality. Standard abbreviations include Cu, Cu(I), Cu(II), CuNP, CuO-NP, Cu2O-NP, DSF/Cu, and TM for tetrathiomolybdate. The most important distinction is that dietary copper physiology, therapeutic copper depletion, copper ionophore loading, copper complexes, and copper nanoparticles are not interchangeable exposures. Primary mechanisms (ranked):
Bioavailability / PK relevance: Oral nutritional copper is normally tightly regulated by absorption, biliary excretion, ceruloplasmin binding, and intracellular chaperones. Copper nanoparticles and copper oxide nanoparticles have distinct PK and toxicology constraints because particle size, coating, dissolution, route of exposure, aggregation, and organ deposition can dominate exposure. Copper chelation requires systemic copper lowering, while copper-loading strategies require sufficient intracellular Cu delivery without unacceptable normal-tissue toxicity. In-vitro vs systemic exposure relevance: Many CuNP/CuO-NP anticancer experiments use direct cell-culture concentrations that may exceed safe or achievable systemic exposure and may reflect non-selective cytotoxicity. For ionic copper, free copper concentrations in vivo are extremely buffered, so simple CuSO4 or CuCl2 in-vitro experiments do not map cleanly onto physiological free copper. For DSF/Cu and copper complexes, exposure relevance depends on complex formation, albumin/protein binding, tumor delivery, and copper transporter state. Clinical evidence status: Copper biology is strongly supported mechanistically. Copper chelation has small human and phase II evidence, mainly as an anti-angiogenic or microenvironment strategy, but is not established standard oncology care. DSF/Cu has phase I/II and randomized clinical evidence in glioblastoma; the recurrent glioblastoma randomized trial did not show survival benefit and reported increased toxicity. CuNP/CuO-NP anticancer claims remain predominantly preclinical, with major translation constraints from oxidative, hepatic, renal, inflammatory, genotoxic, and mitochondrial toxicity signals. Interpretation note: Copper biology and copper nanoparticles should not be treated as equivalent exposures. Ionic copper, nutritional copper, copper chelation, copper ionophores, copper complexes, CuNPs, CuO-NPs, and Cu2O-NPs differ in pharmacokinetics, intracellular copper delivery, redox behavior, biodistribution, and toxicity. Directional tags such as ROS↑, angiogenesis↑/↓, GSH↓, NRF2↑/↓, and chemosensitization should be interpreted according to exposure class. Copper Cancer Mechanism Table
Time-Scale Flag (TSF): P / R / G
Copper Nanoparticles: CuNP / CuO-NP (tox + “anticancer” claims are mostly preclinical) Copper Nanoparticle Cancer Mechanism Table
Time-Scale Flag (TSF): P / R / G
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| In all eukaryotic cells, intracellular Ca2+ levels are maintained at low resting concentrations (approximately 100 nM) by the activity of the major Ca2+ extrusion system, the plasma membrane Ca2+-ATPase (PMCA), which exchanges extracellular protons (H+) for cytosolic Ca2+. Indeed, sustained elevation of [Ca2+]C in the form of overload, saturating all Ca2+-dependent effectors, prolonged decrease in [Ca2+]ER, causing ER stress response, and high [Ca2+]M, inducing mitochondrial permeability transition (MPT), are considered to be pro-death factors. In cancer the Ca2+-handling toolkit undergoes profound remodelling (figure 1) to favour activation of Ca2+-dependent transcription factors, such as the nuclear factor of activated T cells (NFAT), c-Myc, c-Jun, c-Fos that promote hypertrophic growth via induction of the expression of the G1 and G1/S phase transition cyclins (D and E) and associated cyclin-dependent kinases (CDK4 and CDK2). Thus, cancer cells may evade apoptosis through decreasing calcium influx into the cytoplasm. This can be achieved by either downregulation of the expression of plasma membrane Ca2+-permeable ion channels or by reducing the effectiveness of the signalling pathways that activate these channels. Such protective measures would largely diminish the possibility of Ca2+ overload in response to pro-apoptotic stimuli, thereby impairing the effectiveness of mitochondrial and cytoplasmic apoptotic pathways. Voltage-Gated Calcium Channels (VGCCs): Overexpression of VGCCs has been associated with increased tumor growth and metastasis in various cancers, including breast and prostate cancer. Store-Operated Calcium Entry (SOCE): SOCE mechanisms, such as STIM1 and ORAI1, are often upregulated in cancer cells, contributing to enhanced cell survival and proliferation. High intracellular calcium levels are associated with increased cell proliferation and migration, leading to a poorer prognosis. Calcium signaling can also influence hormone receptor status, affecting treatment responses. Increased Ca²⁺ signaling is associated with advanced disease and metastasis. Patients with higher CaSR expression may have a worse prognosis due to enhanced tumor growth and resistance to apoptosis. -Ca2+ is an important regulator of the electric charge distribution of bio-membranes. |
| 6182- | Cu, | Role of cuproptosis in digestive system tumors (Review) |
| - | Review, | Var, | 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
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