Niclosamide (Niclocide) / TCA Cancer Research Results

NCL, Niclosamide (Niclocide): Click to Expand ⟱
Features:

Niclosamide (brand: Niclocide; NIC) — salicylanilide anthelmintic (tapeworm drug) being investigated for drug repurposing in oncology due to multi-pathway signaling inhibition and mitochondrial/energy-stress effects. Sources: Rx/essential-medicines antiparasitic; multiple repurposing reviews.

Primary mechanisms (conceptual rank):
1) Mitochondrial energy disruption (uncoupling / ATP depletion; AMPK-linked energy stress)
2) Wnt/β-catenin inhibition (LRP6/β-catenin axis; stemness/CSC phenotypes)
3) STAT3 inhibition (anti-survival transcription)
4) mTORC1 suppression (growth/anabolism ↓; autophagy context)
5) NF-κB / Notch modulation (context-dependent; anti-inflammatory/anti-survival)

Bioavailability / PK relevance: Poor solubility and low/variable oral systemic exposure are major constraints; formulation work (e.g., solution approaches) is used to improve reproducibility/systemic availability.

In-vitro vs oral exposure: Many anticancer effects are observed at concentrations that can exceed typical systemic exposure from standard oral dosing (qualifier: high concentration only for direct tumor cytotoxicity in many models).

Clinical evidence status: Approved antiparasitic; oncology remains preclinical + early/small human repurposing studies (no established oncology RCT approval/indication).

Niclosamide (Niclocide) — Cancer vs Normal Cell Pathway Map

Rank Pathway / Axis Cancer Cells Normal Cells TSF Primary Effect Notes / Interpretation
1 Mitochondrial energy metabolism (OXPHOS uncoupling / ATP) ↓ ATP (primary; dose-dependent) ↓ ATP (high concentration only) P/R Energy stress → growth inhibition Core pharmacology includes mitochondrial/energy disruption; can trigger downstream stress signaling.
2 Wnt/β-catenin (LRP6/β-catenin; CSC/stemness) ↓ (model-dependent) ↔ R/G Reduced proliferation / stemness programs Frequently highlighted in repurposing; relevant in Wnt-driven or CSC-enriched contexts.
3 STAT3 ↓ ↔ R/G Anti-survival transcription blockade Often positioned as a central anti-tumor axis and combination-sensitization mechanism.
4 mTORC1 / growth-anabolism ↓ ↔ / ↓ (stress-dependent) R/G Reduced anabolic signaling Frequently co-reported with Wnt/STAT3 inhibition; can couple to autophagy responses.
5 AMPK (energy-stress sensor) ↑ (context-dependent) ↑ (stress-dependent) R Catabolic shift / growth suppression Often downstream of ATP depletion; can antagonize mTORC1 signaling.
6 NF-κB ↓ (context-dependent) ↓ (context-dependent) R/G Reduced inflammatory / survival programs Not always dominant; varies by model and inflammatory dependence.
7 Notch ↓ (model-dependent) ↔ G Differentiation / stemness modulation Reported in repurposing literature; often secondary to broader stress/signaling effects.
8 ROS ↑ (dose-dependent) ↔ / ↑ (high concentration only) P/R Oxidative stress contribution Can be downstream of mitochondrial disruption; may contribute to cytotoxicity or resistance depending on context.
9 NRF2 (protective vs resistance role) ↔ / ↑ (adaptive; context-dependent) ↔ / ↑ (adaptive) R/G Stress-response adjustment Typically secondary; may reduce sensitivity if antioxidant adaptation dominates.
10 Autophagy ↑ or ↓ (context-dependent) ↔ / ↑ (stress-dependent) R/G Stress adaptation vs cell-death coupling Often described as a stress-response phenotype; can be cytostatic or pro-death depending on tumor context.
11 Ca²⁺ signaling ↔ (stress-related) ↔ P/R No primary axis Not a canonical primary target; include only if a specific model shows ER/mitochondrial Ca²⁺ disruption.
12 Clinical Translation Constraint ↓ (constraint) ↓ (constraint) — Exposure variability + formulation dependence Poor solubility/low systemic exposure and high variability with oral dosing drive repurposing limitations; solution/formulation approaches aim to increase systemic availability.

TSF legend: P: 0–30 min; R: 30 min–3 hr; G: >3 hr
TCA, Krebs/Tricarboxylic Acid Cycle: Click to Expand ⟱
Source:
Type: enzymes
Tricarboxylic Acid (TCA) cycle, also known as the Citric Acid cycle or Krebs cycle, is a key metabolic pathway that plays a central role in cellular energy production.
The TCA cycle is a series of chemical reactions that occur in the mitochondria and involve the breakdown of acetyl-CoA, a molecule produced from the breakdown of carbohydrates, fats, and proteins. The TCA cycle produces:
1. NADH and FADH2
2. ATP
3. GTP
Expression of TCA cycle enzymes is often downregulated in cancer cells.

Since cancer cells often exhibit rewired metabolism, including alterations in the use of the TCA cycle, researchers are exploring potential therapeutic interventions that target metabolic enzymes or pathways.
TCA cycle is essential for normal cellular metabolism, its role in cancer is multifaceted. Cancer cells often reprogram their metabolism—including the TCA cycle—to support rapid growth, adapt to hypoxia, and manage oxidative stress. Mutations in key TCA cycle enzymes generate oncometabolites that further contribute to cancer progression by disrupting normal cellular regulation.

Rather than saying the TCA cycle is globally over- or underexpressed in cancer, it is more accurate to say that cancer cells reprogram the cycle—with selective upregulation of parts important for biosynthesis and survival and mutations or downregulation of other parts—to best support their growth and survival in a challenging microenvironment.

Oncometabolites
-Some metabolites in the Krebs cycle, when accumulated to abnormal levels due to genetic mutations or enzyme deficiencies, are termed “oncometabolites” because they can promote tumorigenesis.
-Mutations in succinate dehydrogenase (SDH) can lead to accumulation of succinate.
-Mutations in fumarate hydratase (FH) result in an accumulation of fumarate.
-Mutations in isocitrate dehydrogenase (IDH1 and IDH2) result in a neomorphic enzyme activity that converts α-ketoglutarate (α-KG) to 2-hydroxyglutarate:
Scientific Papers found: Click to Expand⟱
5254- NCL,    The magic bullet: Niclosamide
- Review, Var, NA
Wnt↓, β-catenin/ZEB1↓, RAS↓, STAT3↓, NOTCH↓, E2Fs↓, mTOR↓, eff↑, PD-1↓, PD-L1↓, BioAv↝, toxicity↓, BioAv↑, ETC↑, NADH:NAD↓, TCA↑, Warburg↓, Diff↑, AMPK↑, P53↑, PP2A↑, HIF-1↓, KRAS↓, Myc↓, RadioS↑, ChemoSen↑, Dose↝, Dose↑,

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:


Mitochondria & Bioenergetics ⓘ

ETC↑, 1,  

Core Metabolism/Glycolysis ⓘ

AMPK↑, 1,   NADH:NAD↓, 1,   TCA↑, 1,   Warburg↓, 1,  

Cell Death ⓘ

Myc↓, 1,  

DNA Damage & Repair ⓘ

P53↑, 1,  

Cell Cycle & Senescence ⓘ

E2Fs↓, 1,  

Proliferation, Differentiation & Cell State ⓘ

Diff↑, 1,   mTOR↓, 1,   NOTCH↓, 1,   RAS↓, 1,   STAT3↓, 1,   Wnt↓, 1,  

Migration ⓘ

KRAS↓, 1,   β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature ⓘ

HIF-1↓, 1,  

Immune & Inflammatory Signaling ⓘ

PD-1↓, 1,   PD-L1↓, 1,  

Protein Aggregation ⓘ

PP2A↑, 1,  

Drug Metabolism & Resistance ⓘ

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

Clinical Biomarkers ⓘ

KRAS↓, 1,   Myc↓, 1,   PD-L1↓, 1,  

Functional Outcomes ⓘ

toxicity↓, 1,  
Total Targets: 31

Pathway results for Effect on Normal Cells:


Total Targets: 0

Scientific Paper Hit Count for: TCA, Krebs/Tricarboxylic Acid Cycle
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#:13  Target#:818  State#:%  Dir#:2
  wNotes=0  sortOrder:rid,rpid

 

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