Melatonin / Warburg Cancer Research Results

MEL, Melatonin: Click to Expand ⟱
Features:
Hormone in the body made by pineal gland.
• Melatonin is a potent antioxidant. It neutralizes reactive oxygen species (ROS) and reactive nitrogen species (RNS), which are involved in DNA damage and cancer progression.
• Melatonin has been shown to modulate apoptotic pathways by influencing mitochondrial permeability, cytochrome c release, and caspase activation.
• In several cancer cell models, melatonin appears to promote apoptosis in malignant cells while sparing normal cells.

The most well-known indolamines are serotonin and melatonin, both of which play significant roles in regulating mood, sleep, and overall mental well-being.

Melatonin doses (20 mg to even 40 mg per day), often given as an adjuvant treatment for cancer.
-The plasma half-life of melatonin is generally in the range of approximately 20 to 60 minutes
-It has been suggested that administering melatonin at the appropriate phase of the circadian cycle may enhance its anti-tumor activity and reduce the side effects of chemotherapy and radiation therapy.

Bio-availability: Oral melatonin has a low and variable bio-availability (often estimated between 3% and 33%), which means that only a fraction of the ingested dose reaches the bloodstream unchanged.

For proOxidant effect might need >10uM, which might be 100mg dose (assuming 10% bio-availability) Might also be required X10 levels?
-It remains unknown whether the pro-oxidant action exists in vivo. the vast majority of evidence indicates that melatonin is a potent antioxidant in vivo even at pharmacological concentrations.

Interactions:
-Melatonin could potentially add to the blood pressure–lowering properties of antihypertensive drugs.
-Patients using insulin should be monitored for changes in blood glucose levels.
-Melatonin might interact with drugs like warfarin, aspirin, or clopidogrel.(antiplatelet)


Melatonin Cancer Relevant Pathways
Rank Pathway / Axis Cancer Cells Normal Cells Label Primary Interpretation Notes
1 Circadian signaling (MT1 / MT2 receptors) ↓ proliferative circadian disruption ↑ circadian synchronization Driver Chronobiology normalization Melatonin restores circadian control; cancer cells lose growth advantages from circadian dysregulation
2 Reactive oxygen species (ROS) ↓ ROS (baseline); context-dependent ↑ stress signaling ↓ ROS (strong buffering) Driver Antioxidant dominance with signaling effects Melatonin is a potent direct and indirect antioxidant; cancer cells may still undergo stress-mediated growth inhibition
3 Mitochondrial function ↓ metabolic flexibility; ↑ apoptosis sensitivity ↑ mitochondrial efficiency Secondary Mitochondrial stabilization vs vulnerability Melatonin improves mitochondrial function in normal cells while limiting metabolic plasticity in cancer cells
4 Estrogen signaling (ERα modulation) ↓ estrogen-driven proliferation ↔ minimal Secondary Hormone-dependent growth suppression Particularly relevant in breast and hormone-responsive cancers
5 NF-κB signaling ↓ inflammatory / survival signaling ↓ inflammatory tone Secondary Anti-inflammatory modulation NF-κB suppression contributes to reduced tumor-promoting inflammation
6 Cell cycle regulation ↓ proliferation / ↑ arrest ↔ spared Phenotypic Cytostatic growth control Growth inhibition reflects upstream circadian and hormonal effects
7 Apoptosis sensitivity ↑ sensitivity to apoptosis (chemo/RT) ↓ apoptosis Phenotypic Therapy sensitization Melatonin enhances response to chemo- and radiotherapy while protecting normal tissue


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⟱
1782- MEL,    Melatonin in Cancer Treatment: Current Knowledge and Future Opportunities
- Review, Var, NA
AntiCan↑, Apoptosis↑, TumCP↓, TumCG↑, TumMeta↑, ChemoSideEff↓, radioP↑, ChemoSen↑, *ROS↓, *SOD↑, *GSH↑, *GPx↑, *Catalase↑, Dose∅, VEGF↓, eff↑, Hif1a↓, GLUT1↑, GLUT3↑, CAIX↑, P21↑, p27↑, PTEN↑, Warburg↓, PI3K↓, Akt↓, NF-kB↓, cycD1/CCND1↓, CDK4↓, CycB/CCNB1↓, CDK4↓, MAPK↑, IGF-1R↓, STAT3↓, MMP9↓, MMP2↓, MMP13↓, E-cadherin↑, Vim↓, RANKL↓, JNK↑, Bcl-2↓, P53↑, Casp3↑, Casp9↑, BAX↑, DNArepair↑, COX2↓, IL6↓, IL8↓, NO↓, T-Cell↑, NK cell↑, Treg lymp↓, FOXP3↓, CD4+↑, TNF-α↑, Th1 response↑, BioAv↝, RadioS↑, OS↑,

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

CAIX↑, 1,   Warburg↓, 1,  

Cell Death

Akt↓, 1,   Apoptosis↑, 1,   BAX↑, 1,   Bcl-2↓, 1,   Casp3↑, 1,   Casp9↑, 1,   JNK↑, 1,   MAPK↑, 1,   p27↑, 1,  

DNA Damage & Repair

DNArepair↑, 1,   P53↑, 1,  

Cell Cycle & Senescence

CDK4↓, 2,   CycB/CCNB1↓, 1,   cycD1/CCND1↓, 1,   P21↑, 1,  

Proliferation, Differentiation & Cell State

IGF-1R↓, 1,   PI3K↓, 1,   PTEN↑, 1,   STAT3↓, 1,   TumCG↑, 1,  

Migration

E-cadherin↑, 1,   MMP13↓, 1,   MMP2↓, 1,   MMP9↓, 1,   Treg lymp↓, 1,   TumCP↓, 1,   TumMeta↑, 1,   Vim↓, 1,  

Angiogenesis & Vasculature

Hif1a↓, 1,   NO↓, 1,   VEGF↓, 1,  

Barriers & Transport

GLUT1↑, 1,   GLUT3↑, 1,  

Immune & Inflammatory Signaling

CD4+↑, 1,   COX2↓, 1,   FOXP3↓, 1,   IL6↓, 1,   IL8↓, 1,   NF-kB↓, 1,   NK cell↑, 1,   T-Cell↑, 1,   Th1 response↑, 1,   TNF-α↑, 1,  

Hormonal & Nuclear Receptors

RANKL↓, 1,  

Drug Metabolism & Resistance

BioAv↝, 1,   ChemoSen↑, 1,   Dose∅, 1,   eff↑, 1,   RadioS↑, 1,  

Clinical Biomarkers

IL6↓, 1,  

Functional Outcomes

AntiCan↑, 1,   ChemoSideEff↓, 1,   OS↑, 1,   radioP↑, 1,  
Total Targets: 56

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress

Catalase↑, 1,   GPx↑, 1,   GSH↑, 1,   ROS↓, 1,   SOD↑, 1,  
Total Targets: 5

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#:122  Target#:947  State#:%  Dir#:1
wNotes=0 sortOrder:rid,rpid

 

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