Silymarin (Milk Thistle) silibinin / H2O2 Cancer Research Results

SIL, Silymarin (Milk Thistle) silibinin: Click to Expand ⟱
Features:
Silymarin (Milk Thistle) Flowering herb related to daisy and ragweed family.
Silibinin (INN), also known as silybin is the major active constituent of silymarin, a standardized extract of the milk thistle seeds.
-a flavonoid combination of 65–80% of seven flavolignans; the most important of these include silybin, isosilybin, silychristin, isosilychristin, and silydianin. Silybin is the most abundant compound in around 50–70% in isoforms silybin A and silybin B

-Note half-life 6hrs?.
BioAv not soluble in water, low bioAv (1%). 240mg yielded only 0.34ug/ml plasma level. oral administration of SM (equivalent to 120 mg silibinin), total (unconjugated + conjugated) silibinin concentration in plasma was 1.1–1.3 μg/mL, so can not achieve levels used in most in-vitro studies.
Pathways:
- results for both inducing and reducing ROS in cancer cells. In normal cell seems to consistently lower ROS. Reports show both ROS↑ and ROS↓ in cancer models; systemic pro-oxidant effects may require higher exposures than typical oral dosing, but local or combination contexts may differ. (level in GUT could be much higher (800uM).
- ROS↑ related: MMP↓(ΔΨm), Ca+2↑, Cyt‑c↑, Caspases↑, DNA damage↑, cl-PARP↑,
- Raises AntiOxidant defense in Normal Cells: ROS↓, NRF2↑, SOD↑, GSH↑, Catalase↑,
- lowers Inflammation : NF-kB↓, COX2↓, p38↓(context-dependent; often stress-activated), Pro-Inflammatory Cytokines : NLRP3↓, IL-1β↓, TNF-α↓, IL-6↓, IL-8↓
- inhibit Growth/Metastases : TumMeta↓, TumCG↓, EMT↓, MMPs↓, MMP2↓, MMP9↓, TIMP2, uPA↓, VEGF↓, FAK↓, NF-κB↓, CXCR4↓, TGF-β↓, α-SMA↓, ERK↓
- reactivate genes thereby inhibiting cancer cell growth : HDAC↓, DNMTs↓, P53↑, HSP↓,
- cause Cell cycle arrest : TumCCA↑, cyclin D1↓, cyclin E↓, CDK2↓, CDK4↓,
- inhibits Migration/Invasion : TumCMig↓, TumCI↓, TNF-α↓, FAK↓, ERK↓, EMT↓,
- inhibits glycolysis and ATP depletion : HIF-1α↓, PKM2↓, cMyc↓, GLUT1↓, LDH↓, LDHA↓, HK2↓, PFKs↓, GRP78↑(ER stress), Glucose↓, GlucoseCon↓
- inhibits angiogenesis↓ : VEGF↓, HIF-1α↓, Notch↓, PDGF↓, EGFR↓,
- inhibits Cancer Stem Cells : CSC↓, Hh↓, GLi1↓, β-catenin↓, Notch2↓, OCT4↓,
- Others: PI3K↓, AKT↓, JAK↓, STAT↓, Wnt↓, β-catenin↓, AMPK, 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 TSF Primary Effect Notes / Interpretation
1 ROS / redox buffering + mitochondrial protection Often ↑ stress susceptibility; can support apoptosis when survival signaling is blocked ↓ oxidative stress; mitochondrial protection P, R, G Context-selective redox modulation Silymarin is classically cytoprotective/antioxidant in normal tissues (notably liver), while in tumors it can weaken pro-survival adaptation and increase vulnerability to stressors and therapy.
2 Intrinsic apoptosis (mitochondria → caspases) ↑ apoptosis signaling; ↑ caspase activation ↔ minimal activation G Cell death execution Common downstream outcome in cancer models: apoptosis increases after earlier signaling/redox shifts and/or checkpoint disruption.
3 Cell-cycle control (cyclins/CDKs; checkpoints) ↑ arrest (G1/S or G2/M depending on model) G Cytostasis Typically observed as reduced proliferation with checkpoint engagement; timing usually later than kinase phosphorylation changes.
4 NF-κB inflammatory transcription ↓ NF-κB activity; ↓ inflammatory/pro-survival tone ↔ or protective anti-inflammatory effect R, G Anti-inflammatory / anti-survival transcription NF-κB suppression can reduce tumor-promoting inflammation and blunt stress-adaptive survival programs.
5 JAK/STAT3 axis (incl. PD-L1 / immune escape programs in some models) ↓ STAT3 signaling (context); may ↓ PD-L1 in certain tumor contexts R, G Reduced survival + immune-evasion signaling Reported to attenuate STAT3-driven tumor programs and, in some contexts, reduce immune-suppressive signaling (model dependent).
6 PI3K → AKT → mTOR survival / growth signaling ↓ PI3K/AKT/mTOR signaling (context) R, G Growth/survival suppression Reduced PI3K/AKT/mTOR tone increases sensitivity to apoptosis and can reinforce cell-cycle arrest.
7 MAPK re-wiring (ERK/p38/JNK balance) Stress-MAPK shifts; ERK tone often reduced or re-patterned P, R, G Signal reprogramming Early phosphorylation shifts can precede later gene-expression changes; exact ERK direction is model and dose dependent.
8 Angiogenesis (VEGF and angiogenic factors) ↓ VEGF / angiogenesis outputs G Anti-angiogenic support Typically reflected in reduced pro-angiogenic expression/secretion and angiogenesis-related phenotypes over longer windows.
9 EMT / invasion / migration programs (incl. TGF-β/Smad-associated EMT in some systems) ↓ EMT markers; ↓ migration/invasion G Anti-invasive phenotype Often presents as restoration of epithelial markers and suppression of migration/invasion assays; commonly a later phenotype-level outcome.
10 Xenobiotic handling (Phase I/II enzymes; cytoprotection / chemoprevention framing) May alter carcinogen activation/detox balance ↑ detox / cytoprotection against xenobiotics G Chemopreventive protection A key “dual strategy” theme: protection of normal tissue from toxins/therapy while modulating tumor response pathways.
11 Drug resistance / efflux (MDR phenotype; P-gp-related resistance in some models) May ↓ functional MDR and ↑ chemo sensitivity (context) R, G Chemo-sensitization support Reported synergy with chemotherapy in resistant tumor settings; transporter direction can be context-specific, so present as “reported to reduce functional resistance” rather than a universal single-transporter claim.
12 Immune microenvironment signaling (cytokines / macrophage recruitment in some models) May ↓ pro-tumor cytokine programs and recruitment signals (context) G Anti-inflammatory tumor microenvironment shift Immune-modulatory effects are increasingly discussed, but they are more model-dependent and typically show on longer time scales.

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

  • P: 0–30 min (primary/physical–chemical effects; rapid signaling / phosphorylation shifts)
  • R: 30 min–3 hr (redox signaling + acute stress-response signaling)
  • G: >3 hr (gene-regulatory adaptation and phenotype-level outcomes)


H2O2, Hydrogen peroxide (H2O2): Click to Expand ⟱
Source:
Type:
H2O2 is a reactive oxygen species (ROS) that can induce oxidative stress in cells. While low levels of ROS can promote cell signaling and proliferation, high levels can lead to DNA damage, apoptosis (programmed cell death), and other cellular dysfunctions. This dual role means that H2O2 can contribute to cancer development and progression, as oxidative stress can lead to mutations and genomic instability.
H2O2 can enhance the effectiveness of certain chemotherapeutic agents by increasing oxidative stress in cancer cells. Additionally, localized delivery of H2O2 has been explored as a means to selectively target and kill cancer cells while sparing normal cells.
Cancer cells often exhibit altered metabolism, leading to increased production of reactive oxygen species, including H2O2. This can result from enhanced mitochondrial activity, increased glycolysis, or other metabolic adaptations that are characteristic of cancer.


Reported H2O2 concentrations for representative compounds.
   Prooxidant          Dose                   Cell Line            H2O2 Produced
EGCG50 µMJurkat~1 µM
EGCG10 µMHCT116 and HT291.5 µM
EGCG100 µMJurkat20 µM
Quercetin70 µMHT292 µM
Menadione10 µMJurkat20 µM
Plumbagin4 µMSiHA and HeLa1 mM
β-Lap1 µMHL-6070 µM
Doxorubicin1 µMPC338 pM
Ascorbic Acid 1 mMHL-60161 µM
Ascorbic Acid0.2–2.0 mMLymphoma20–120 µM
Ascorbic Acidi.v. 0.5 mg/gRats0–20 µM
Ascorbic Acidi.p. 4.0 g/kgMice tumor> 125 µM
TiO210 µg/mLHepG2150 nmol/mL
Paclitaxel100 nMMCF7600 nM
Paclitaxel100 nMHL-601100 nM

Note: many products at lower concentrations act as antioxidants, instead of Prooxidants.

Generally, increased hydrogen peroxide and oxidative stress are associated with poor outcomes, while the specific context and cellular environment can modulate its effects.


Scientific Papers found: Click to Expand⟱
3650- SIL,    Silibinin: a novel inhibitor of Aβ aggregation
- in-vitro, AD, SH-SY5Y
*Aβ↓, *H2O2↓,
2410- SIL,    Autophagy activated by silibinin contributes to glioma cell death via induction of oxidative stress-mediated BNIP3-dependent nuclear translocation of AIF
- in-vitro, GBM, U87MG - in-vitro, GBM, U251 - in-vivo, NA, NA
TumAuto↑, ATP↓, Glycolysis↓, H2O2↑, P53↑, GSH↓, xCT↓, BNIP3↝, MMP↑, mt-ROS↑, mtDam↑, HK2↓, PFKP↓, PKM2↓, TumCG↓,

Showing Research Papers: 1 to 2 of 2

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

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress

GSH↓, 1,   H2O2↑, 1,   mt-ROS↑, 1,   xCT↓, 1,  

Mitochondria & Bioenergetics

ATP↓, 1,   MMP↑, 1,   mtDam↑, 1,  

Core Metabolism/Glycolysis

Glycolysis↓, 1,   HK2↓, 1,   PFKP↓, 1,   PKM2↓, 1,  

Autophagy & Lysosomes

BNIP3↝, 1,   TumAuto↑, 1,  

DNA Damage & Repair

P53↑, 1,  

Proliferation, Differentiation & Cell State

TumCG↓, 1,  
Total Targets: 15

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress

H2O2↓, 1,  

Protein Aggregation

Aβ↓, 1,  
Total Targets: 2

Scientific Paper Hit Count for: H2O2, Hydrogen peroxide (H2O2)
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#:154  Target#:138  State#:%  Dir#:%
wNotes=0 sortOrder:rid,rpid

 

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