Quercetin / ACC Cancer Research Results

QC, Quercetin: Click to Expand ⟱

Features:

Plant pigment (flavonoid) found in red wine, onions, green tea, apples and berries.
Quercetin is thought to contribute to anticancer effects through several mechanisms:
-Antioxidant Activity:
-Induction of Apoptosis:modify Bax:Bcl-2 ratio
-Anti-inflammatory Effects:
-Cell Cycle Arrest:
-Inhibition of Angiogenesis and Metastasis: (VEGF)

Cellular Pathways:
-PI3K/Akt/mTOR Pathway: central to cell proliferation, survival, and metabolism.
-MAPK/ERK Pathway: influencing cell proliferation, differentiation, and apoptosis.
-NF-κB Pathway: downregulate NF-κB
-JAK/STAT Pathway: interfere with the activation of STAT3
-Apoptotic Pathways: intrinsic (mitochondrial) and extrinsic (death receptor-mediated) pathways

Quercetin has been used at doses around 500–1000 mg per day
Quercetin’s bioavailability from foods or standard supplements can be low.

-Note half-life 11 to 28 hours.
BioAv low 1-10%, poor water-solubility, consuming with fat may improve bioavialability. also piperine or VitC.
Pathways:
- induce ROS production in cancer cells (higher dose). Typicallys Lowers ROS in normal cells(unless it is high dose?)or depends on Redox status?. "quercetin paradox"
- ROS↑ related: MMP↓(ΔΨm), ER Stress↑, UPR↑, GRP78↑, Ca+2↑, Cyt‑c↑, Caspases↑, DNA damage↑, cl-PARP↑, HSP↓, Prx,
- Confusing info about Lowering AntiOxidant defense in Cancer Cells: NRF2↓(some contrary), TrxR↓**, SOD↓(contrary), GSH↓ Catalase↓(contrary), HO1↓(some contrary), GPx↓(some contrary)
- Raises AntiOxidant defense in Normal Cells: ROS↓, NRF2↑, SOD↑, GSH↑, Catalase↑,
- lowers Inflammation : NF-kB↓, COX2↓, p38↓, Pro-Inflammatory Cytokines : NLRP3↓, IL-1β↓, TNF-α↓, IL-6↓, IL-8↓
- inhibit Growth/Metastases : TumMeta↓, TumCG↓, EMT↓, MMPs↓, MMP2↓, MMP9↓, TIMP2, IGF-1↓, uPA↓, VEGF↓, ROCK1↓, FAK↓, NF-κB↓, CXCR4↓, SDF1↓, TGF-β↓, α-SMA↓, ERK↓
- reactivate genes thereby inhibiting cancer cell growth : HDAC↓, DNMTs↓, EZH2↓, P53↑, HSP↓, Sp proteins↓, TET↑
- cause Cell cycle arrest : TumCCA↑, cyclin D1↓, cyclin E↓, CDK2↓, CDK4↓, CDK6↓,
- inhibits Migration/Invasion : TumCMig↓, TumCI↓, TNF-α↓, FAK↓, ERK↓, EMT↓, TOP1↓, TET1,
- inhibits glycolysis and ATP depletion : HIF-1α↓, PKM2↓, cMyc↓, GLUT1↓, LDH↓, LDHA↓, HK2↓, PFKs↓, PDKs↓, ECAR↓, OXPHOS↓, GRP78↑, GlucoseCon↓
- inhibits angiogenesis↓ : VEGF↓, HIF-1α↓, Notch↓, FGF↓, PDGF↓, EGFR↓,
- some indication of inhibiting Cancer Stem Cells : CSC↓, CK2↓, Hh↓, CD24↓, β-catenin↓, Notch2↓,
- Others: PI3K↓, AKT↓, JAK↓, STAT↓, Wnt↓, β-catenin↓, AMPK, α↓, ERK↓, JNK, - SREBP (related to cholesterol).
- Synergies: chemo-sensitization, chemoProtective, RadioSensitizer, RadioProtective, Others(review target notes), Neuroprotective, Cognitive, Renoprotection, Hepatoprotective, CardioProtective,

- Selectivity: Cancer Cells vs Normal Cells

Rank	Pathway / Axis	Cancer Cells	Normal Cells	Label	Primary Interpretation	Notes
1	Reactive oxygen species (ROS)	↑ ROS (dose-, metal-, context-dependent)	↓ ROS	Conditional Driver	Biphasic redox modulation	Quercetin exhibits pro-oxidant behavior in cancer cells while protecting normal cells
2	Mitochondrial integrity / intrinsic apoptosis	↓ ΔΨm; ↑ caspase activation	↔ preserved	Driver	Execution of intrinsic apoptosis	Mitochondrial dysfunction is a central apoptosis route in cancer cells
3	PI3K → AKT → mTOR axis	↓ AKT / ↓ mTOR	↔ adaptive suppression	Driver	Growth and survival inhibition	AKT/mTOR suppression is a consistently reported upstream effect in cancer models
4	NF-κB signaling	↓ NF-κB activation	↓ inflammatory NF-κB tone	Secondary	Reduced survival and inflammatory transcription	NF-κB inhibition contributes to chemosensitization and apoptosis susceptibility
5	MAPK signaling (JNK / p38)	↑ JNK / ↑ p38	↔ minimal	Secondary	Stress-mediated apoptosis signaling	MAPK activation supports apoptosis downstream of redox stress
6	Cell cycle regulation	↑ G1/S or G2/M arrest	↔ largely spared	Phenotypic	Cytostatic growth control	Cell-cycle arrest reflects disruption of growth signaling
7	HIF-1α hypoxia signaling	↓ HIF-1α	↔ minimal	Secondary	Reduced hypoxia tolerance	Quercetin interferes with hypoxia-driven transcriptional programs
8	NRF2 antioxidant response	↑ NRF2 (adaptive, context-dependent)	↑ NRF2 (protective)	Adaptive	Stress compensation	NRF2 induction reflects redox buffering rather than primary cytotoxicity

ACC, Acetyl-CoA Carboxylase: Click to Expand ⟱

Source:

Type: enzyme

ACC-α (Acetyl-CoA Carboxylase alpha) is a cytosolic isoform of ACC that is primarily involved in the regulation of fatty acid synthesis in lipogenic tissues, such as liver and adipose tissue. ACC-α is a key enzyme in the biosynthesis of fatty acids, particularly in the context of de novo lipogenesis.
ACC is a biotin-containing enzyme that exists in two main isoforms: ACC-α and ACC-β.
Overexpression of ACC-α has been linked to increased fatty acid synthesis, which can contribute to cancer cell growth and survival.
ACC-β (Acetyl-CoA Carboxylase beta) is a mitochondrial isoform of ACC that is primarily involved in the regulation of fatty acid oxidation.
In general, high ACC expression is associated with:
- Poor prognosis
- Increased tumor size
- Metastasis
- Resistance to chemotherapy
-Poor response to treatment
Low ACC expression is associated with:
- Better prognosis
- Smaller tumor size
- Less metastasis
- Better response to chemotherapy
- Better response to treatment

Scientific Papers found: Click to Expand⟱

3381-

QC,

Quercetin induces cell death in cervical cancer by reducing O-GlcNAcylation of adenosine monophosphate-activated protein kinase

in-vitro,

Cerv,

HeLa

SREBP1↓, TumCP↓, TumCD↑, AMPK↑, SREBP1↓, FASN↓, ACC↓,

Showing Research Papers: 1 to 1 of 1

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 1

Pathway results for Effect on Cancer / Diseased Cells:

Core Metabolism/Glycolysis ⓘ

ACC↓, 1, AMPK↑, 1, FASN↓, 1, SREBP1↓, 2,

Cell Death ⓘ

TumCD↑, 1,

Migration ⓘ

TumCP↓, 1,
Total Targets: 6

Pathway results for Effect on Normal Cells:

Total Targets: 0

Scientific Paper Hit Count for: ACC, Acetyl-CoA Carboxylase

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