Silymarin (Milk Thistle) silibinin / Casp3 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)
Casp3, CPP32, Cysteinyl aspartate specific proteinase-3: Click to Expand ⟱
Source:
Type:
Also known as CP32.
Cysteinyl aspartate specific proteinase-3 (Caspase-3) is a common key protein in the apoptosis and pyroptosis pathways, and when activated, the expression level of tumor suppressor gene Gasdermin E (GSDME) determines the mechanism of tumor cell death.
As a key protein of apoptosis, caspase-3 can also cleave GSDME and induce pyroptosis. Loss of caspase activity is an important cause of tumor progression.
Many anticancer strategies rely on the promotion of apoptosis in cancer cells as a means to shrink tumors. Crucial for apoptotic function are executioner caspases, most notably caspase-3, that proteolyze a variety of proteins, inducing cell death. Paradoxically, overexpression of procaspase-3 (PC-3), the low-activity zymogen precursor to caspase-3, has been reported in a variety of cancer types. Until recently, this counterintuitive overexpression of a pro-apoptotic protein in cancer has been puzzling. Recent studies suggest subapoptotic caspase-3 activity may promote oncogenic transformation, a possible explanation for the enigmatic overexpression of PC-3. Herein, the overexpression of PC-3 in cancer and its mechanistic basis is reviewed; collectively, the data suggest the potential for exploitation of PC-3 overexpression with PC-3 activators as a targeted anticancer strategy.
Caspase 3 is the main effector caspase and has a key role in apoptosis. In many types of cancer, including breast, lung, and colon cancer, caspase-3 expression is reduced or absent.
On the other hand, some studies have shown that high levels of caspase-3 expression can be associated with a better prognosis in certain types of cancer, such as breast cancer. This suggests that caspase-3 may play a role in the elimination of cancer cells, and that therapies aimed at activating caspase-3 may be effective in treating certain types of cancer.
Procaspase-3 is a apoptotic marker protein.
Prognostic significance:
• High Cas3 expression: Associated with good prognosis and increased sensitivity to chemotherapy in breast, gastric, lung, and pancreatic cancers.
• Low Cas3 expression: Linked to poor prognosis and increased risk of recurrence in colorectal, hepatocellular carcinoma, ovarian, and prostate cancers.
Scientific Papers found: Click to Expand⟱
3325- SIL,    Modulatory effect of silymarin on pulmonary vascular dysfunction through HIF-1α-iNOS following rat lung ischemia-reperfusion injury
- in-vivo, Nor, NA
*Inflam↓, *ROS↓, *Casp3↑, *Casp9↑, *Hif1a↓, *iNOS↓, *SOD↑, *MDA↓,
109- SIL,    Silibinin induces apoptosis through inhibition of the mTOR-GLI1-BCL2 pathway in renal cell carcinoma
- vitro+vivo, RCC, 769-P - in-vitro, RCC, 786-O - in-vitro, RCC, ACHN - in-vitro, RCC, OS-RC-2
HH↓, Gli1↓, GLI2↓, mTOR↓, Bcl-2↓, Apoptosis↑, Casp3↑, PARP↑, TumCG↓,
3648- SIL,    Silymarin/Silybin and Chronic Liver Disease: A Marriage of Many Years
- Review, NA, NA
*antiOx↑, *Inflam↓, *lipid-P↓, *necrosis↓, *hepatoP↑, *IL1↓, *IL6↓, *TNF-α↓, *IFN-γ↓, MAPK↓, Apoptosis↑, Cyt‑c↑, Casp3↑, Casp9↑, *PPARγ↑, *GLUT4↑, *HSPs↓, *HSP27↑, *Trx↑, *SIRT1↑, *ALAT↓, *GSH↑, *lipid-P↓, *TNF-α↓, TumCG↓, P21↑, CDK4↑,
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↑,
3296- SIL,    Silibinin induces oral cancer cell apoptosis and reactive oxygen species generation by activating the JNK/c-Jun pathway
- in-vitro, Oral, Ca9-22 - in-vivo, Oral, YD10B
TumCP↓, TumCCA↑, ROS↑, SOD1↓, SOD2↓, *JNK↑, toxicity?, TumCMig↓, TumCI↓, N-cadherin↓, Vim↓, E-cadherin↑, EMT↓, P53↑, cl‑Casp3↑, cl‑PARP↑, BAX↑, Bcl-2↓, SOD↓,
3293- SIL,    Silymarin (milk thistle extract) as a therapeutic agent in gastrointestinal cancer
- Review, Var, NA
hepatoP↑, TumMeta↓, Inflam↓, chemoP↑, radioP↑, Half-Life↝, *GSTs↑, p‑JNK↑, BAX↑, p‑p38↑, cl‑PARP↑, Bcl-2↓, p‑ERK↓, TumVol↓, eff↑, TumCCA↑, STAT3↓, Mcl-1↓, survivin↓, Bcl-xL↓, Casp3↑, Casp9↑, eff↑, CXCR4↓, Dose↝,
3289- SIL,    Silymarin: a promising modulator of apoptosis and survival signaling in cancer
- Review, Var, NA
*BioAv↝, *BioAv↓, Fas↑, FasL↑, FADD↑, pro‑Casp8↑, Apoptosis↑, DR5↑, Bcl-2↑, BAX↑, Casp3↑, PI3K↓, FOXM1↓, p‑mTOR↓, p‑P70S6K↓, Hif1a↓, Akt↑, angioG↓, STAT3↓, NF-kB↓, lipid-P↓, eff↑, CDK1↓, survivin↓, CycB/CCNB1↓, Mcl-1↓, Casp9↑, AP-1↓, BioAv↑,
978- SIL,    A comprehensive evaluation of the therapeutic potential of silibinin: a ray of hope in cancer treatment
- Review, NA, NA
PI3K↓, Akt↓, NF-kB↓, Wnt/(β-catenin)↓, MAPK↓, TumCP↓, TumCCA↑, Apoptosis↑, p‑EGFR↓, JAK2↓, STAT5↓, cycD1/CCND1↓, hTERT/TERT↓, AP-1↓, MMP9↓, miR-21↓, miR-155↓, Casp9↑, BID↑, ERK↓, Akt2↓, DNMT1↓, P53↑, survivin↓, Casp3↑, ROS↑,
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 10 of 10

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 10

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress ⓘ

GSH↑, 1,   lipid-P↓, 2,   ROS↑, 3,   SOD↓, 1,   SOD1↓, 1,   SOD2↓, 1,  

Mitochondria & Bioenergetics ⓘ

MEK↓, 1,   MMP↓, 1,   Raf↓, 1,  

Core Metabolism/Glycolysis ⓘ

cMyc↓, 3,   GlucoseCon↓, 1,   Glycolysis↓, 1,   HK2↓, 1,   lactateProd↓, 1,   LDHA↓, 1,   PPP↓, 1,  

Cell Death ⓘ

Akt↓, 2,   Akt↑, 1,   APAF1↑, 1,   Apoptosis↓, 1,   Apoptosis↑, 4,   BAX↑, 4,   Bcl-2↓, 5,   Bcl-2↑, 1,   Bcl-xL↓, 3,   BID↑, 1,   BIM↓, 1,   Casp↑, 1,   Casp3↑, 8,   cl‑Casp3↑, 1,   pro‑Casp8↑, 1,   Casp9↑, 6,   Cyt‑c↑, 2,   DR5↑, 1,   FADD↑, 1,   Fas↑, 1,   FasL↑, 1,   hTERT/TERT↓, 1,   p‑JNK↓, 1,   p‑JNK↑, 1,   MAPK↓, 3,   Mcl-1↓, 3,   p‑p38↓, 1,   p‑p38↑, 1,   survivin↓, 5,   YAP/TEAD↓, 1,  

Kinase & Signal Transduction ⓘ

HER2/EBBR2↓, 1,  

Transcription & Epigenetics ⓘ

HATs↑, 1,   miR-21↓, 1,  

Autophagy & Lysosomes ⓘ

LC3II↑, 1,  

DNA Damage & Repair ⓘ

DNAdam↑, 1,   DNMT1↓, 1,   P53↑, 4,   PARP↑, 1,   cl‑PARP↑, 2,   PCNA↓, 2,  

Cell Cycle & Senescence ⓘ

CDK1↓, 2,   CDK4↑, 1,   CycB/CCNB1↓, 2,   cycD1/CCND1↓, 3,   P21↑, 1,   TumCCA↑, 4,  

Proliferation, Differentiation & Cell State ⓘ

CSCs↓, 1,   EMT↓, 3,   ERK↓, 2,   p‑ERK↓, 2,   FOXM1↓, 1,   Gli1↓, 1,   HDAC↓, 1,   HH↓, 1,   mTOR↓, 2,   p‑mTOR↓, 1,   p‑P70S6K↓, 1,   PI3K↓, 3,   STAT3↓, 4,   p‑STAT3↓, 1,   STAT5↓, 1,   TumCG↓, 4,   Wnt↓, 1,   Wnt/(β-catenin)↓, 1,  

Migration ⓘ

Akt2↓, 1,   AP-1↓, 2,   CD31↓, 1,   E-cadherin↑, 2,   GLI2↓, 1,   Ki-67↓, 1,   miR-155↓, 1,   MMP2↓, 1,   MMP9↓, 2,   MMPs↓, 1,   N-cadherin↓, 2,   TGF-β↓, 1,   TumCI↓, 1,   TumCMig↓, 1,   TumCP↓, 3,   TumMeta↓, 3,   uPA↓, 1,   Vim↓, 2,   β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature ⓘ

angioG↓, 3,   p‑EGFR↓, 1,   Hif1a↓, 3,   VEGF↓, 2,   VEGFR2↓, 1,  

Barriers & Transport ⓘ

GLUT1↓, 1,  

Immune & Inflammatory Signaling ⓘ

COX2↓, 1,   CXCR4↓, 2,   IFN-γ↑, 1,   IL10↓, 1,   IL1β↓, 1,   IL2↑, 1,   IL6↓, 1,   Inflam↓, 3,   JAK2↓, 1,   MDSCs↓, 1,   NF-kB↓, 2,   PGE2↓, 1,  

Drug Metabolism & Resistance ⓘ

BioAv↑, 1,   Dose↝, 1,   eff↑, 6,   Half-Life↝, 1,  

Clinical Biomarkers ⓘ

p‑EGFR↓, 1,   FOXM1↓, 1,   HER2/EBBR2↓, 1,   hTERT/TERT↓, 1,   IL6↓, 1,   Ki-67↓, 1,  

Functional Outcomes ⓘ

cachexia↓, 1,   cardioP↑, 1,   chemoP↑, 3,   hepatoP↑, 2,   neuroP↑, 1,   radioP↑, 2,   Strength↑, 1,   toxicity?, 1,   TumVol↓, 1,   Weight∅, 1,  
Total Targets: 137

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress ⓘ

antiOx↑, 1,   GSH↑, 1,   GSTs↑, 1,   lipid-P↓, 2,   MDA↓, 1,   ROS↓, 2,   SOD↑, 1,   Trx↑, 1,  

Core Metabolism/Glycolysis ⓘ

ALAT↓, 1,   PPARγ↑, 1,   SIRT1↑, 1,  

Cell Death ⓘ

Casp3↑, 1,   Casp9↑, 1,   iNOS↓, 1,   JNK↑, 1,   necrosis↓, 1,  

Protein Folding & ER Stress ⓘ

HSP27↑, 1,   HSPs↓, 1,  

Angiogenesis & Vasculature ⓘ

Hif1a↓, 1,  

Barriers & Transport ⓘ

GLUT4↑, 1,  

Immune & Inflammatory Signaling ⓘ

IFN-γ↓, 1,   IL1↓, 1,   IL6↓, 1,   Inflam↓, 2,   TNF-α↓, 2,  

Drug Metabolism & Resistance ⓘ

BioAv↓, 2,   BioAv↝, 1,  

Clinical Biomarkers ⓘ

ALAT↓, 1,   IL6↓, 1,  

Functional Outcomes ⓘ

hepatoP↑, 1,  
Total Targets: 30

Scientific Paper Hit Count for: Casp3, CPP32, Cysteinyl aspartate specific proteinase-3
10 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#:42  State#:%  Dir#:2
  wNotes=0  sortOrder:rid,rpid

 

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