Database Query Results : Curcumin, , Warburg

CUR, Curcumin: Click to Expand ⟱
Features:
Curcumin is the main active ingredient in Tumeric. Member of the ginger family.Curcumin is a polyphenol extracted from turmeric with anti-inflammatory and antioxidant properties.
- Has iron-chelating, iron-chelating properties. Ferritin. But still known to increase Iron in Cancer cells.
- GSH depletion in cancer cells, exhaustion of the antioxidant defense system. But still raises GSH↑ in normal cells.
- Higher concentrations (5-10 μM) of curcumin induce autophagy and ROS production
- Inhibition of TrxR, shifting the enzyme from an antioxidant to a prooxidant
- Strong inhibitor of Glo-I, , causes depletion of cellular ATP and GSH
- Curcumin has been found to act as an activator of Nrf2, (maybe bad in cancer cells?), hence could be combined with Nrf2 knockdown
-may suppress CSC: suppresses self-renewal and pathways (Wnt/Notch/Hedgehog).
Clinical studies testing curcumin in cancer patients have used a range of dosages, often between 500 mg and 8 g per day; however, many studies note that doses on the lower end may not achieve sufficient plasma concentrations for a therapeutic anticancer effect in humans.
• Formulations designed to improve curcumin absorption (like curcumin combined with piperine, nanoparticle formulations, or liposomal curcumin) are often employed in clinical trials to enhance its bioavailability.

-Note half-life 6 hrs.
BioAv is poor, use piperine or other enhancers
Pathways:
- induce ROS production at high concentration. Lowers ROS at lower concentrations
curcumin can act as a pro-oxidant when blue light is applied
- ROS↑ related: MMP↓(ΔΨm), ER Stress↑, UPR↑, GRP78↑, Cyt‑c↑, Caspases↑, DNA damage↑, cl-PARP↑, HSP↓
- Lowers AntiOxidant defense in Cancer Cells: GSH↓ Catalase↓ HO1↓ GPx↓
but conversely is known as a NRF2↑ activator in cancer
- Raises AntiOxidant defense in Normal Cells: ROS↓, NRF2↑, SOD↑, GSH↑, Catalase↑,
- lowers Inflammation : NF-kB↓, COX2↓, p38↓, Pro-Inflammatory Cytokines : TNF-α↓, IL-6↓, IL-8↓
- inhibit Growth/Metastases : TumMeta↓, TumCG↓, EMT↓, MMPs↓, MMP2↓, MMP9↓, uPA↓, VEGF↓, NF-κB↓, CXCR4↓, SDF1↓, TGF-β↓, α-SMA↓, ERK↓
- reactivate genes thereby inhibiting cancer cell growth : HDAC↓, DNMT1↓, DNMT3A↓, EZH2↓, P53↑, HSP↓, Sp proteins↓,
- cause Cell cycle arrest : TumCCA↑, cyclin D1↓, CDK2↓, CDK4↓, CDK6↓,
- inhibits Migration/Invasion : TumCMig↓, TumCI↓, ERK↓, EMT↓, TOP1↓, TET1↓,
- inhibits glycolysis /Warburg Effect and ATP depletion : HIF-1α↓, PKM2↓, cMyc↓, GLUT1↓, LDHA↓, HK2↓, PFKs↓, PDKs↓, HK2↓, ECAR↓, OXPHOS↓, GRP78↑, GlucoseCon↓
- inhibits angiogenesis↓ : VEGF↓, HIF-1α↓, Notch↓, FGF↓, PDGF↓, EGFR↓, Integrins↓,
- inhibits Cancer Stem Cells : CSC↓, CK2↓, Hh↓, GLi1↓, CD133↓, CD24↓, β-catenin↓, n-myc↓, sox2↓, OCT4↓,
- Others: PI3K↓, AKT↓, JAK↓, STAT↓, Wnt↓, β-catenin↓, AMPK↓, ERK↓, JNK, TrxR**,
- 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 NF-κB signaling ↓ NF-κB activation ↓ inflammatory NF-κB tone Driver Suppression of survival and inflammatory transcription NF-κB is a primary, repeatedly validated curcumin target explaining pleiotropic downstream effects
2 STAT3 signaling ↓ STAT3 phosphorylation / activity ↔ or mild suppression Driver Loss of pro-survival and proliferative signaling STAT3 inhibition contributes to growth arrest, apoptosis sensitization, and reduced cytokine signaling in tumors
3 Reactive oxygen species (ROS) ↑ ROS (dose- & context-dependent) ↓ ROS / buffered Conditional Driver Biphasic redox modulation Curcumin can act as a pro-oxidant in cancer cells with high basal stress while acting antioxidant in normal cells
4 Mitochondrial integrity / intrinsic apoptosis ↓ ΔΨm; ↑ caspase activation ↔ preserved Driver Execution of intrinsic apoptosis Mitochondrial dysfunction and caspase activation occur downstream of NF-κB/STAT3 and ROS effects
5 PI3K → AKT → mTOR axis ↓ AKT / ↓ mTOR ↔ or adaptive suppression Secondary Reduced growth and anabolic signaling AKT/mTOR inhibition contributes to growth suppression and autophagy induction in cancer cells
6 Autophagy ↑ autophagy (protective or pro-death) ↑ adaptive autophagy Secondary Stress adaptation vs cell death Autophagy may be cytoprotective or cooperate with apoptosis depending on context and dose
7 HIF-1α / VEGF hypoxia–angiogenesis axis ↓ HIF-1α; ↓ VEGF ↔ minimal effect Secondary Anti-angiogenic pressure Suppression of hypoxia-driven transcription limits angiogenesis and tumor adaptation
8 Cell cycle regulation ↑ G2/M or G1 arrest ↔ largely spared Phenotypic Cytostatic growth control Cell-cycle arrest reflects upstream signaling and epigenetic effects rather than direct CDK inhibition
9 Migration / invasion (EMT, MMP axis) ↓ migration & invasion Phenotypic Anti-metastatic phenotype Reduced EMT markers and protease activity limit invasive behavior
10 Epigenetic regulation (p300/CBP HAT activity) ↓ histone acetylation ↔ modest Secondary Transcriptional reprogramming Curcumin modulates chromatin via HAT inhibition rather than classic HDAC inhibition


Warburg, Warburg Effect: Click to Expand ⟱
Source:
Type: effect

The Warburg effect (aerobic glycolysis) is a metabolic phenotype where many cancer cells use high glycolytic flux and lactate production even when oxygen is available. Tumors often contain hypoxic regions that further drive glycolysis, but Warburg metabolism can also occur under normoxic conditions (“pseudo-hypoxia”) via oncogenic signaling and metabolic rewiring.

Hypoxia-inducible factor 1 alpha (HIF-1α) is one important driver in hypoxic tumor regions. HIF-1α upregulates glycolytic genes (e.g., GLUT1, HK2, LDHA) and promotes reduced mitochondrial pyruvate oxidation in part through induction of PDK (which inhibits PDH), shifting carbon toward lactate.

Warburg effect (GLUT1, LDHA, HK2, and PKM2).
Classic HIF-Warburg axis: PDK1 and MCT4 (SLC16A3) (pyruvate gate + lactate export).

Here are some of the key pathways and potential targets:

Note: use database Filter to find inhibitors: Ex pick target HIF1α, and effect direction ↓

1.Glycolysis Inhibitors:(2-DG, 3-BP)
- HK2 Inhibitors: such as 2-deoxyglucose, can reduce glycolysis
-PFK1 Inhibitors: such as PFK-158, can reduce glycolysis
-PFKFB Inhibitors:
- PKM2 Inhibitors: (Shikonin)
-Can reduce glycolysis
- LDH Inhibitors: (Gossypol, FX11)
-Reducing the conversion of pyruvate to lactate.
-Inhibiting the production of ATP and NADH.
- GLUT1 Inhibitors: (phloretin, WZB117)
-A key transporter involved in glucose uptake.
-GLUT3 Inhibitors:
- PDK1 Inhibitors: (dichloroacetate)
- A key enzyme involved in the regulation of glycolysis. PDK inhibitors (e.g., DCA) activate PDH and shift pyruvate into TCA/OXPHOS, reducing lactate pressure.

2.Pentose phosphate pathway:
- G6PD Inhibitors: can reduce the pentose phosphate pathway

3.Hypoxia-inducible factor 1 alpha (HIF1α) pathway:
- HIF1α inhibitors: (PX-478,Shikonin)
-Reduce expression of glycolytic genes and inhibit cancer cell growth.

4.AMP-activated protein kinase (AMPK) pathway:
-AMPK activators: (metformin,AICAR,berberine)
-Can increase AMPK activity and inhibit cancer cell growth.

5.mTOR pathway:
- mTOR inhibitors:(rapamycin,everolimus)
-Can reduce mTOR activity and inhibit cancer cell growth.

Warburg Targeting Matrix (Cancer Metabolism)

Node What It Does (Warburg role) Representative Inhibitors / Modulators Mechanism Snapshot Typical Tumor Effects Best-Fit Tumor Context Common Constraints / Gotchas TSF Combination Logic
GLUT (glucose uptake)
GLUT1 (SLC2A1) focus
Controls glucose entry; sets the upper bound on glycolytic flux. Research/repurposing: WZB117 (GLUT1), BAY-876 (GLUT1), STF-31 (GLUT1 tool), Fasentin (GLUT), Phloretin (broad, weak)
Dietary/indirect: some polyphenols reported to lower GLUT1 expression (context)
Blocks glucose transport or reduces GLUT1 expression → less substrate for glycolysis & PPP. ATP stress (in highly glycolytic tumors), lactate ↓, growth slowdown; can sensitize to stressors. High-GLUT1 tumors; hypoxic / glycolysis-addicted phenotypes. Systemic glucose handling and glucose-dependent tissues; tumor compensation via alternate fuels. P, R Pairs with ROS/ETC stressors or LDH/MCT blockade; beware compensatory glutaminolysis/fatty acid oxidation.
Hexokinase (HK2)
first committed glycolysis step
Traps glucose as G-6-P; HK2 often upregulated and mitochondria-associated in tumors. Clinical/adjunct interest: 2-Deoxyglucose (2-DG; glycolysis + glycosylation stress)
Research: Lonidamine-class glycolysis axis drugs (not “pure HK2”), 3-bromopyruvate (hazardous research agent; not for casual use)
Competitive substrate mimic (2-DG) → 2-DG-6P accumulation; HK flux ↓; ER glycosylation stress ↑. ATP ↓, AMPK ↑, ER stress/UPR ↑, autophagy ↑, apoptosis (context); radiosensitization reported. Highly glycolytic tumors; tumors with strong HK2 dependence; hypoxic cores. Normal glucose-dependent tissues; ER-stress toxicities; dosing/tolerability limits in practice. P, R, G Pairs with radiation, pro-oxidant stress, or MCT/LDH blockade; watch systemic glucose effects.
LDH (LDHA/LDHB)
pyruvate ⇄ lactate
Regenerates NAD+ to sustain glycolysis; LDHA supports lactate production and acidification. Tier A direct inhibitors: FX11, (R)-GNE-140, NCI-006, Oxamate, Galloflavin, Gossypol
Tier B indirect: polyphenols (often lactate/LDH expression ↓ rather than catalytic inhibition)
Blocks LDH catalysis → NAD+ recycling ↓ → glycolysis throttles; pyruvate handling shifts; redox pressure ↑. Lactate ↓, glycolytic flux ↓, oxidative stress ↑ (often secondary), growth inhibition; immune microenvironment may improve if lactate decreases. LDHA-high tumors; lactate-driven immunosuppression; glycolysis-addicted phenotypes. Metabolic plasticity: tumors switch fuels; some LDH inhibitors have PK liabilities; “LDH release” ≠ LDH inhibition. R, G Pairs with MCT inhibition (trap lactate), NAD+ axis inhibitors, immune therapy (lactate suppression logic), and OXPHOS stressors (context).
MCT (lactate transport)
MCT1 (SLC16A1), MCT4 (SLC16A3)
Exports lactate + H+ (acidifies TME); enables lactate shuttling between tumor subclones. Clinical-stage: AZD3965 (MCT1 inhibitor; clinical trials)
Research: AR-C155858 (MCT1/2), Syrosingopine (MCT1/4; repurposed), Lonidamine (MCT + MPC axis)
Blocks lactate export/import → intracellular acid stress ↑ (in glycolytic cells) and lactate shuttling ↓. Acid stress, growth inhibition; may improve immune function by reducing lactate/acidic suppression (context). MCT1-high tumors; oxidative “lactate-using” tumor fractions; tumors with lactate shuttling. MCT4-driven export can bypass MCT1-only inhibitors; hypoxia upregulates MCT4; need target matching. P, R Pairs strongly with LDH inhibitors (cut production + block export), and with immune therapy rationale (lactate/acid microenvironment).
PDK (PDK1-4)
PDH gatekeeper
PDK inhibits PDH → keeps pyruvate out of mitochondria; supports Warburg by favoring lactate. Prototype: Dichloroacetate (DCA; pan-PDK inhibitor “classic”)
Research: AZD7545 (PDK2 inhibitor; tool), newer PDK inhibitor series (research)
Inhibits PDK → PDH active ↑ → pyruvate into TCA/OXPHOS ↑; lactate pressure ↓. Warburg reversal pressure (context), lactate ↓, mitochondrial flux ↑; can increase ROS in some settings (secondary). PDK-high tumors; tumors with suppressed PDH flux; “glycolysis locked” metabolic phenotype. Requires functional mitochondrial capacity; hypoxia can limit OXPHOS shift; effect is often modulatory rather than directly cytotoxic. R, G Pairs with therapies that exploit mitochondrial dependence or redox stress; can complement LDH/MCT strategies by reducing lactate drive.

Time-Scale Flag (TSF): P / R / G

  • P: 0–30 min (direct transport/enzyme flux effects begin)
  • R: 30 min–3 hr (acute ATP/NAD+/acid stress and signaling changes)
  • G: >3 hr (gene adaptation, phenotype outcomes, immune/TME effects)


Scientific Papers found: Click to Expand⟱
2307- CUR,    Cell-Type Specific Metabolic Response of Cancer Cells to Curcumin
- in-vitro, Colon, HT29 - in-vitro, Laryn, FaDu
PKM2↓, Siddiqui et al. have recently reported that curcumin downregulates PKM2 expression in cancer cells, consequently decreasing the Warburg effect.
Warburg↓,
mTOR↓, pKM2 downregulation coincided with the inhibition of the mammalian target of rapamycin (mTOR) pathway and consequential downregulation of hypoxia-inducible factor 1-alpha HIF1α
Hif1a↓,
Glycolysis↓, showed that a decrease of PKM2 (mediated by curcumin or by targeted PKM2 silencing) significantly reduces aerobic glycolysis and is also consequential for cell survival.

649- EGCG,  CUR,  PI,    Targeting Cancer Hallmarks with Epigallocatechin Gallate (EGCG): Mechanistic Basis and Therapeutic Targets
- Review, Var, NA
*BioEnh↑, increase EGCG bioavailability is using other natural products such as curcumin and piperine
EGFR↓,
HER2/EBBR2↓,
IGF-1↓,
MAPK↓,
ERK↓, reduction in ERK1/2 phosphorylation
RAS↓,
Raf↓, Raf-1
NF-kB↓, Numerous investigations have proven that EGCG has an inhibitory effect on NF-κB
p‑pRB↓, EGCG were displayed to reduce the phosphorylation of Rb, and as a result, cells were arrested in G1 phase
TumCCA↑, arrested in G1 phase
Glycolysis↓, EGCG has been found to inhibit key enzymes involved in glycolysis, such as hexokinase and pyruvate kinase, thereby disrupting the Warburg effect and inhibiting tumor cell growth
Warburg↓,
HK2↓,
Pyruv↓,


* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 2

Pathway results for Effect on Cancer / Diseased Cells:


Mitochondria & Bioenergetics

Raf↓, 1,  

Core Metabolism/Glycolysis

Glycolysis↓, 2,   HK2↓, 1,   PKM2↓, 1,   Pyruv↓, 1,   Warburg↓, 2,  

Cell Death

MAPK↓, 1,  

Kinase & Signal Transduction

HER2/EBBR2↓, 1,  

Transcription & Epigenetics

p‑pRB↓, 1,  

Cell Cycle & Senescence

TumCCA↑, 1,  

Proliferation, Differentiation & Cell State

ERK↓, 1,   IGF-1↓, 1,   mTOR↓, 1,   RAS↓, 1,  

Angiogenesis & Vasculature

EGFR↓, 1,   Hif1a↓, 1,  

Immune & Inflammatory Signaling

NF-kB↓, 1,  

Clinical Biomarkers

EGFR↓, 1,   HER2/EBBR2↓, 1,  
Total Targets: 19

Pathway results for Effect on Normal Cells:


Drug Metabolism & Resistance

BioEnh↑, 1,  
Total Targets: 1

Scientific Paper Hit Count for: Warburg, Warburg Effect
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#:65  Target#:947  State#:%  Dir#:%
wNotes=on sortOrder:rid,rpid

 

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