Metformin / TumCI Cancer Research Results

MET, Metformin: Click to Expand ⟱
Features: oral antidiabetic agent,
Metformin is a pleiotropic drug: attributed to its action on AMPK
Metformin is a biguanide drug used primarily for type 2 diabetes. Mechanistically, it is best described as a bioenergetic modulator: partial inhibition of mitochondrial respiration can raise AMP/ADP, engage AMPK, and suppress mTORC1 signaling; systemically it reduces hepatic gluconeogenesis and can lower insulin/IGF-1 growth signaling. In oncology, observational studies suggested improved outcomes in some settings, but randomized trial data are mixed (e.g., large adjuvant breast cancer data did not show broad benefit overall). Long-term use can be associated with vitamin B12 deficiency, and prescribing requires attention to renal function due to rare lactic acidosis risk in predisposed states.
Metformin directly(partially) inhibits Complex I of the electron transport chain (ETC) in mitochondria. This inhibition decreases mitochondrial ATP production and forces cells to rely more on glycolysis for energy.
Cancer cells, especially those with high energy demands, may be particularly sensitive to a drop in ATP levels. The inhibition of Complex I also increases the AMP/ATP ratio, setting the stage for the activation of downstream energy stress pathways.
AMPK activation results in the inhibition of the mammalian target of rapamycin (mTOR) pathway, a central regulator of protein synthesis and cellular growth. mTOR inhibition reduces cell proliferation and limits tissue growth, which can slow tumor progression.

Metformin reduces circulating insulin levels, which in turn can decrease the activation of the insulin and insulin-like growth factor-1 (IGF-1) receptor pathways.

ETC Inhibitors: Drugs that directly inhibit specific ETC complexes (e.g., Complex I inhibitors like metformin or phenformin) can increase electron leakage and ROS production.(dose- and context-dependent, and not consistent)

-known as mild OXPHOS inhibitor(Complex I modulator)

Rank Pathway / Axis Cancer / Tumor Context Normal Tissue Context TSF Primary Effect Notes / Interpretation
1 Mitochondrial Complex I (OXPHOS) inhibition Energetic stress ↑; proliferation pressure ↓ (context) Hepatic energy shift; gluconeogenesis ↓ P, R Bioenergetic modulation Metformin partially inhibits mitochondrial Complex I (OXPHOS), increasing AMP/ADP ratio and triggering downstream AMPK activation. ROS changes are dose- and context-dependent.
2 AMPK activation (LKB1/AMPK axis) Growth programs ↓ (context-dependent) Metabolic homeostasis ↑ R Energy-sensor activation AMPK activation is frequently invoked downstream of respiratory inhibition, though some hepatic effects can be AMPK-independent.
3 mTORC1 inhibition (via AMPK→TSC2/Raptor; also AMPK-independent routes reported) Protein synthesis / growth signaling ↓ (reported) Reduced anabolic signaling in liver (context) R, G Anti-anabolic signaling Mechanistically supported: AMPK regulation of TSC2 and Raptor contributes to metformin-mediated mTORC1 inhibition; AMPK-independent mTORC1 inhibition has also been described.
4 Hepatic gluconeogenesis suppression Indirect tumor support via insulin/IGF-1 lowering (systemic) Liver glucose production ↓ (core clinical effect) R, G Systemic metabolic effect Metformin reduces hepatic glucose output through multiple mechanisms (energy state shifts, cAMP pathways, and other proposed nodes).
5 Insulin / IGF-1 axis (systemic growth signaling) Mitogenic tone ↓ (context; strongest in hyperinsulinemic settings) Insulin sensitivity ↑; insulin levels ↓ (context) G Systemic growth-factor modulation Many “anti-cancer” hypotheses depend on lowering insulin/IGF-1 signaling rather than direct tumor cytotoxicity.
6 Cell-cycle & apoptosis (secondary, model-dependent) Proliferation ↓; apoptosis ↑ (reported in some models) ↔ G Conditional cytostasis Often downstream of mTORC1 suppression/energy stress; not a universal direct cytotoxin signature.
7 Inflammation signaling (NF-κB and related programs) Inflammatory pro-survival transcription ↓ (reported) Anti-inflammatory trends in metabolic disease contexts R, G Inflammation modulation Frequently reported as downstream of improved metabolic/oxidative stress tone; avoid presenting as a primary direct target.
8 Autophagy / stress adaptation Autophagy ↑ or ↓ depending on context; can affect therapy response ↔ G Adaptive stress response Autophagy findings are heterogeneous across tumor models and combinations.
9 Clinical oncology evidence (adjunct use) Observational signals exist; randomized data are mixed — — Translation constraint Epidemiology/meta-analyses suggested potential benefit in some cancers, but large randomized trials (e.g., adjuvant breast cancer MA.32) did not show broad benefit across the overall population.
10 Safety / monitoring constraints (B12, lactic acidosis risk in predisposed states) — Vitamin B12 deficiency risk with long-term use; rare lactic acidosis risk increases with renal impairment and other conditions — Clinical risk management Long-term B12 monitoring is commonly advised; prescribing requires renal function assessment due to lactic acidosis risk in predisposed settings.

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

  • P: 0–30 min (rapid bioenergetic effects)
  • R: 30 min–3 hr (acute signaling shifts: AMPK/mTOR)
  • G: >3 hr (gene-regulatory adaptation and phenotype outcomes)
TumCI, Tumor Cell invasion: Click to Expand ⟱
Source:
Type:
Tumor cell invasion is a critical process in cancer progression and metastasis, where cancer cells spread from the primary tumor to surrounding tissues and distant organs. This process involves several key steps and mechanisms:

1.Epithelial-Mesenchymal Transition (EMT): Many tumors originate from epithelial cells, which are typically organized in layers. During EMT, these cells lose their epithelial characteristics (such as cell-cell adhesion) and gain mesenchymal traits (such as increased motility). This transition is crucial for invasion.

2.Degradation of Extracellular Matrix (ECM): Tumor cells secrete enzymes, such as matrix metalloproteinases (MMPs), that degrade the ECM, allowing cancer cells to invade surrounding tissues. This degradation facilitates the movement of cancer cells through the tissue.

3.Cell Migration: Once the ECM is degraded, cancer cells can migrate. They often use various mechanisms, including amoeboid movement and mesenchymal migration, to move through the tissue. This migration is influenced by various signaling pathways and the tumor microenvironment.

4.Angiogenesis: As tumors grow, they require a blood supply to provide nutrients and oxygen. Tumor cells can stimulate the formation of new blood vessels (angiogenesis) through the release of growth factors like vascular endothelial growth factor (VEGF). This not only supports tumor growth but also provides a route for cancer cells to enter the bloodstream.

5.Invasion into Blood Vessels (Intravasation): Cancer cells can invade nearby blood vessels, allowing them to enter the circulatory system. This step is crucial for metastasis, as it enables cancer cells to travel to distant sites in the body.

6.Survival in Circulation: Once in the bloodstream, cancer cells must survive the immune response and the shear stress of blood flow. They can form clusters with platelets or other cells to evade detection.

7.Extravasation and Colonization: After traveling through the bloodstream, cancer cells can exit the circulation (extravasation) and invade new tissues. They may then establish secondary tumors (metastases) in distant organs.

8.Tumor Microenvironment: The surrounding microenvironment plays a significant role in tumor invasion. Factors such as immune cells, fibroblasts, and signaling molecules can either promote or inhibit invasion and metastasis.
Scientific Papers found: Click to Expand⟱
970- MET,    Metformin suppresses HIF-1α expression in cancer-associated fibroblasts to prevent tumor-stromal cross talk in breast cancer
CAFs/TAFs↝, p‑AMPK↑, PHDs↑, Hif1a↓, TumCI↓,
2387- MET,  GEM,    Metformin Increases the Response of Cholangiocarcinoma Cells to Gemcitabine by Suppressing Pyruvate Kinase M2 to Activate Mitochondrial Apoptosis
- in-vitro, CCA, HCC9810
eff↑, tumCV↓, TumCMig↓, TumCI↓, Apoptosis↑, PKM2↓, PDHB↓,
2384- MET,    Integration of metabolomics and transcriptomics reveals metformin suppresses thyroid cancer progression via inhibiting glycolysis and restraining DNA replication
- in-vitro, Thyroid, BCPAP - in-vivo, NA, NA - in-vitro, Thyroid, TPC-1
Glycolysis↓, OXPHOS↑, tumCV↓, TumCI↓, TumCMig↓, EMT↓, Apoptosis↑, TumCCA↑, LDHA↓, PKM2↓, IDH1↑, TumCG↓,
2378- MET,    Metformin inhibits epithelial-mesenchymal transition of oral squamous cell carcinoma via the mTOR/HIF-1α/PKM2/STAT3 pathway
- in-vitro, SCC, CAL27 - in-vivo, NA, NA
TumCP↓, TumCMig↓, TumCI↓, EMT↓, mTOR↓, Hif1a↓, PKM2↓, STAT3↓, E-cadherin↑, Vim↓, Snail↓, STAT3↓,
2375- MET,    Metformin inhibits gastric cancer via the inhibition of HIF1α/PKM2 signaling
- in-vitro, GC, SGC-7901
tumCV↓, TumCI↓, TumCMig↓, Apoptosis↑, PARP↓, PI3K↓, Akt↓, Hif1a↓, PKM2↓, COX2↓,

Showing Research Papers: 1 to 5 of 5

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 5

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress ⓘ

OXPHOS↑, 1,  

Core Metabolism/Glycolysis ⓘ

p‑AMPK↑, 1,   Glycolysis↓, 1,   IDH1↑, 1,   LDHA↓, 1,   PDHB↓, 1,   PKM2↓, 4,  

Cell Death ⓘ

Akt↓, 1,   Apoptosis↑, 3,  

Transcription & Epigenetics ⓘ

tumCV↓, 3,  

DNA Damage & Repair ⓘ

PARP↓, 1,  

Cell Cycle & Senescence ⓘ

TumCCA↑, 1,  

Proliferation, Differentiation & Cell State ⓘ

EMT↓, 2,   mTOR↓, 1,   PI3K↓, 1,   STAT3↓, 2,   TumCG↓, 1,  

Migration ⓘ

CAFs/TAFs↝, 1,   E-cadherin↑, 1,   Snail↓, 1,   TumCI↓, 5,   TumCMig↓, 4,   TumCP↓, 1,   Vim↓, 1,  

Angiogenesis & Vasculature ⓘ

Hif1a↓, 3,   PHDs↑, 1,  

Immune & Inflammatory Signaling ⓘ

COX2↓, 1,  

Drug Metabolism & Resistance ⓘ

eff↑, 1,  
Total Targets: 28

Pathway results for Effect on Normal Cells:


Total Targets: 0

Scientific Paper Hit Count for: TumCI, Tumor Cell invasion
5 Metformin
1 Gemcitabine (Gemzar)
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#:11  Target#:324  State#:%  Dir#:1
  wNotes=0  sortOrder:rid,rpid

 

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