Silymarin (Milk Thistle) silibinin / cMyc 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)
cMyc, cellular-MYC oncogene: Click to Expand ⟱
Source:
Type: oncogene
The MYC proto-oncogenes are among the most commonly activated proteins in human cancer. The oncogene c-myc, which is frequently over-expressed in cancer cells, is involved in the transactivation of most of the glycolytic enzymes including lactate dehydrogenase A (LDHA) and the glucose transporter GLUT1 [51,52]. Thus, c-myc activation is a likely candidate to promote the enhanced glucose uptake and lactate release in the proliferating cancer cell. The c-Myc oncogene is a ‘master regulator’ of both cellular growth and metabolism in transformed cells.
-C-myc is a common oncogene that enhances aerobic glycolysis in the cancer cells by transcriptionally activating GLUT1, HK2, PKM2 and LDH-A

Inhibitors (downregulate):
Curcumin
Resveratrol: downregulate c-Myc expression.
Epigallocatechin Gallate (EGCG)
Quercetin
Berberine: decrease c-Myc expression and repress its transcriptional activity.
Scientific Papers found: Click to Expand⟱
3288- SIL,    Silymarin in cancer therapy: Mechanisms of action, protective roles in chemotherapy-induced toxicity, and nanoformulations
- Review, Var, NA
Inflam↓, lipid-P↓, TumMeta↓, angioG↓, chemoP↑, EMT↓, HDAC↓, HATs↑, MMPs↓, uPA↓, PI3K↓, Akt↓, VEGF↓, CD31↓, Hif1a↓, VEGFR2↓, Raf↓, MEK↓, ERK↓, BIM↓, BAX↑, Bcl-2↓, Bcl-xL↓, Casp↑, MAPK↓, P53↑, LC3II↑, mTOR↓, YAP/TEAD↓, *BioAv↓, MMP↓, Cyt‑c↑, PCNA↓, cMyc↓, cycD1/CCND1↓, β-catenin/ZEB1↓, survivin↓, APAF1↑, Casp3↑, MDSCs↓, IL10↓, IL2↑, IFN-γ↑, hepatoP↑, cardioP↑, GSH↑, neuroP↑,
3290- SIL,    A review of therapeutic potentials of milk thistle (Silybum marianum L.) and its main constituent, silymarin, on cancer, and their related patents
- Analysis, Var, NA
hepatoP↑, chemoP↑, *lipid-P↓, *antiOx↑, tumCV↓, TumCMig↓, Apoptosis↑, ROS↑, GSH↓, Bcl-2↓, survivin↓, cycD1/CCND1↓, NOTCH1↓, BAX↑, NF-kB↓, COX2↓, LOX1↓, iNOS↓, TNF-α↓, IL1↓, Inflam↓, *toxicity↓, CXCR4↓, EGFR↓, ERK↓, MMP↓, Cyt‑c↑, TumCCA↑, RB1↑, P53↑, P21↑, p27↑, cycE/CCNE↓, CDK4↓, p‑pRB↓, Hif1a↓, cMyc↓, IL1β↓, IFN-γ↓, PCNA↓, PSA↓, CYP1A1↓,
1140- SIL,    Silibinin-mediated metabolic reprogramming attenuates pancreatic cancer-induced cachexia and tumor growth
- in-vitro, PC, AsPC-1 - in-vivo, PC, NA - in-vitro, PC, MIA PaCa-2 - in-vitro, PC, PANC1 - in-vitro, PC, Bxpc-3
TumCG↓, Glycolysis↓, cMyc↓, STAT3↓, TumCP↓, Weight∅, Strength↑, DNAdam↑, Casp3↑, Casp9↑, GLUT1↓, HK2↓, LDHA↓, GlucoseCon↓, lactateProd↓, PPP↓, Ki-67↓, p‑STAT3↓, cachexia↓,
3301- SIL,    Critical review of therapeutic potential of silymarin in cancer: A bioactive polyphenolic flavonoid
- Review, Var, NA
Inflam↓, TumCCA↑, Apoptosis↓, TumMeta↓, TumCG↓, angioG↓, chemoP↑, radioP↑, p‑ERK↓, p‑p38↓, p‑JNK↓, P53↑, Bcl-2↓, Bcl-xL↓, TGF-β↓, MMP2↓, MMP9↓, E-cadherin↑, Wnt↓, Vim↓, VEGF↓, IL6↓, STAT3↓, *ROS↓, IL1β↓, PGE2↓, CDK1↓, CycB/CCNB1↓, survivin↓, Mcl-1↓, Casp3↑, Casp9↑, cMyc↓, COX2↓, Hif1a↓, CXCR4↓, CSCs↓, EMT↓, N-cadherin↓, PCNA↓, cycD1/CCND1↓, ROS↑, eff↑, eff↑, eff↑, HER2/EBBR2↓,

Showing Research Papers: 1 to 4 of 4

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 4

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress ⓘ

CYP1A1↓, 1,   GSH↓, 1,   GSH↑, 1,   lipid-P↓, 1,   ROS↑, 2,  

Mitochondria & Bioenergetics ⓘ

MEK↓, 1,   MMP↓, 2,   Raf↓, 1,  

Core Metabolism/Glycolysis ⓘ

cMyc↓, 4,   GlucoseCon↓, 1,   Glycolysis↓, 1,   HK2↓, 1,   lactateProd↓, 1,   LDHA↓, 1,   PPP↓, 1,  

Cell Death ⓘ

Akt↓, 1,   APAF1↑, 1,   Apoptosis↓, 1,   Apoptosis↑, 1,   BAX↑, 2,   Bcl-2↓, 3,   Bcl-xL↓, 2,   BIM↓, 1,   Casp↑, 1,   Casp3↑, 3,   Casp9↑, 2,   Cyt‑c↑, 2,   iNOS↓, 1,   p‑JNK↓, 1,   MAPK↓, 1,   Mcl-1↓, 1,   p27↑, 1,   p‑p38↓, 1,   survivin↓, 3,   YAP/TEAD↓, 1,  

Kinase & Signal Transduction ⓘ

HER2/EBBR2↓, 1,  

Transcription & Epigenetics ⓘ

HATs↑, 1,   p‑pRB↓, 1,   tumCV↓, 1,  

Autophagy & Lysosomes ⓘ

LC3II↑, 1,  

DNA Damage & Repair ⓘ

DNAdam↑, 1,   P53↑, 3,   PCNA↓, 3,  

Cell Cycle & Senescence ⓘ

CDK1↓, 1,   CDK4↓, 1,   CycB/CCNB1↓, 1,   cycD1/CCND1↓, 3,   cycE/CCNE↓, 1,   P21↑, 1,   RB1↑, 1,   TumCCA↑, 2,  

Proliferation, Differentiation & Cell State ⓘ

CSCs↓, 1,   EMT↓, 2,   ERK↓, 2,   p‑ERK↓, 1,   HDAC↓, 1,   mTOR↓, 1,   NOTCH1↓, 1,   PI3K↓, 1,   STAT3↓, 2,   p‑STAT3↓, 1,   TumCG↓, 2,   Wnt↓, 1,  

Migration ⓘ

CD31↓, 1,   E-cadherin↑, 1,   Ki-67↓, 1,   MMP2↓, 1,   MMP9↓, 1,   MMPs↓, 1,   N-cadherin↓, 1,   TGF-β↓, 1,   TumCMig↓, 1,   TumCP↓, 1,   TumMeta↓, 2,   uPA↓, 1,   Vim↓, 1,   β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature ⓘ

angioG↓, 2,   EGFR↓, 1,   Hif1a↓, 3,   LOX1↓, 1,   VEGF↓, 2,   VEGFR2↓, 1,  

Barriers & Transport ⓘ

GLUT1↓, 1,  

Immune & Inflammatory Signaling ⓘ

COX2↓, 2,   CXCR4↓, 2,   IFN-γ↓, 1,   IFN-γ↑, 1,   IL1↓, 1,   IL10↓, 1,   IL1β↓, 2,   IL2↑, 1,   IL6↓, 1,   Inflam↓, 3,   MDSCs↓, 1,   NF-kB↓, 1,   PGE2↓, 1,   PSA↓, 1,   TNF-α↓, 1,  

Drug Metabolism & Resistance ⓘ

eff↑, 3,  

Clinical Biomarkers ⓘ

EGFR↓, 1,   HER2/EBBR2↓, 1,   IL6↓, 1,   Ki-67↓, 1,   PSA↓, 1,  

Functional Outcomes ⓘ

cachexia↓, 1,   cardioP↑, 1,   chemoP↑, 3,   hepatoP↑, 2,   neuroP↑, 1,   radioP↑, 1,   Strength↑, 1,   Weight∅, 1,  
Total Targets: 113

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress ⓘ

antiOx↑, 1,   lipid-P↓, 1,   ROS↓, 1,  

Drug Metabolism & Resistance ⓘ

BioAv↓, 1,  

Functional Outcomes ⓘ

toxicity↓, 1,  
Total Targets: 5

Scientific Paper Hit Count for: cMyc, cellular-MYC oncogene
4 Silymarin (Milk Thistle) silibinin
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#:35  State#:%  Dir#:1
  wNotes=0  sortOrder:rid,rpid

 

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