Silymarin (Milk Thistle) silibinin / Ca+2 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↑">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)


Ca+2, Calcium Ion Ca+2: Click to Expand ⟱
Source:
Type:
In all eukaryotic cells, intracellular Ca2+ levels are maintained at low resting concentrations (approximately 100 nM) by the activity of the major Ca2+ extrusion system, the plasma membrane Ca2+-ATPase (PMCA), which exchanges extracellular protons (H+) for cytosolic Ca2+.
Indeed, sustained elevation of [Ca2+]C in the form of overload, saturating all Ca2+-dependent effectors, prolonged decrease in [Ca2+]ER, causing ER stress response, and high [Ca2+]M, inducing mitochondrial permeability transition (MPT), are considered to be pro-death factors.
In cancer the Ca2+-handling toolkit undergoes profound remodelling (figure 1) to favour activation of Ca2+-dependent transcription factors, such as the nuclear factor of activated T cells (NFAT), c-Myc, c-Jun, c-Fos that promote hypertrophic growth via induction of the expression of the G1 and G1/S phase transition cyclins (D and E) and associated cyclin-dependent kinases (CDK4 and CDK2).
Thus, cancer cells may evade apoptosis through decreasing calcium influx into the cytoplasm. This can be achieved by either downregulation of the expression of plasma membrane Ca2+-permeable ion channels or by reducing the effectiveness of the signalling pathways that activate these channels. Such protective measures would largely diminish the possibility of Ca2+ overload in response to pro-apoptotic stimuli, thereby impairing the effectiveness of mitochondrial and cytoplasmic apoptotic pathways.
Voltage-Gated Calcium Channels (VGCCs): Overexpression of VGCCs has been associated with increased tumor growth and metastasis in various cancers, including breast and prostate cancer.
Store-Operated Calcium Entry (SOCE): SOCE mechanisms, such as STIM1 and ORAI1, are often upregulated in cancer cells, contributing to enhanced cell survival and proliferation.
High intracellular calcium levels are associated with increased cell proliferation and migration, leading to a poorer prognosis. Calcium signaling can also influence hormone receptor status, affecting treatment responses.
Increased Ca²⁺ signaling is associated with advanced disease and metastasis. Patients with higher CaSR expression may have a worse prognosis due to enhanced tumor growth and resistance to apoptosis. -Ca2+ is an important regulator of the electric charge distribution of bio-membranes.


Scientific Papers found: Click to Expand⟱
3282- SIL,    Role of Silymarin in Cancer Treatment: Facts, Hypotheses, and Questions
- Review, NA, NA
hepatoP↑, AntiCan↑, TumCMig↓, Hif1a↓, selectivity↑, toxicity∅, *antiOx↑, *Inflam↓, TumCCA↑, P21↑, CDK4↓, NF-kB↓, ERK↓, PSA↓, TumCG↓, p27↑, COX2↓, IL1↓, VEGF↓, IGFBP3↑, AR↓, STAT3↓, Telomerase↓, Cyt‑c↑, Casp↑, eff↝, HDAC↓, HATs↑, Zeb1↓, E-cadherin↑, miR-203↑, NHE1↓, MMP2↓, MMP9↓, PGE2↓, Vim↓, Wnt↓, angioG↓, VEGF↓, *TIMP1↓, EMT↓, TGF-β↓, CD44↓, EGFR↓, PDGF↓, *IL8↓, SREBP1↓, MMP↓, ATP↓, uPA↓, PD-L1↓, NOTCH↓, *SIRT1↑, SIRT1↓, CA↓, Ca+2↑, chemoP↑, cardioP↑, Dose↝, Half-Life↝, BioAv↓, BioAv↓, BioAv↓, toxicity↝, Half-Life↓, ROS↓, FAK↓,

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:


Redox & Oxidative Stress

ROS↓, 1,  

Mitochondria & Bioenergetics

ATP↓, 1,   MMP↓, 1,  

Core Metabolism/Glycolysis

SIRT1↓, 1,   SREBP1↓, 1,  

Cell Death

Casp↑, 1,   Cyt‑c↑, 1,   p27↑, 1,   Telomerase↓, 1,  

Transcription & Epigenetics

HATs↑, 1,  

Cell Cycle & Senescence

CDK4↓, 1,   P21↑, 1,   TumCCA↑, 1,  

Proliferation, Differentiation & Cell State

CD44↓, 1,   EMT↓, 1,   ERK↓, 1,   HDAC↓, 1,   IGFBP3↑, 1,   NOTCH↓, 1,   STAT3↓, 1,   TumCG↓, 1,   Wnt↓, 1,  

Migration

CA↓, 1,   Ca+2↑, 1,   E-cadherin↑, 1,   FAK↓, 1,   miR-203↑, 1,   MMP2↓, 1,   MMP9↓, 1,   PDGF↓, 1,   TGF-β↓, 1,   TumCMig↓, 1,   uPA↓, 1,   Vim↓, 1,   Zeb1↓, 1,  

Angiogenesis & Vasculature

angioG↓, 1,   EGFR↓, 1,   Hif1a↓, 1,   VEGF↓, 2,  

Barriers & Transport

NHE1↓, 1,  

Immune & Inflammatory Signaling

COX2↓, 1,   IL1↓, 1,   NF-kB↓, 1,   PD-L1↓, 1,   PGE2↓, 1,   PSA↓, 1,  

Hormonal & Nuclear Receptors

AR↓, 1,  

Drug Metabolism & Resistance

BioAv↓, 3,   Dose↝, 1,   eff↝, 1,   Half-Life↓, 1,   Half-Life↝, 1,   selectivity↑, 1,  

Clinical Biomarkers

AR↓, 1,   EGFR↓, 1,   PD-L1↓, 1,   PSA↓, 1,  

Functional Outcomes

AntiCan↑, 1,   cardioP↑, 1,   chemoP↑, 1,   hepatoP↑, 1,   toxicity↝, 1,   toxicity∅, 1,  
Total Targets: 63

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress

antiOx↑, 1,  

Core Metabolism/Glycolysis

SIRT1↑, 1,  

Migration

TIMP1↓, 1,  

Immune & Inflammatory Signaling

IL8↓, 1,   Inflam↓, 1,  
Total Targets: 5

Scientific Paper Hit Count for: Ca+2, Calcium Ion Ca+2
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#:38  State#:%  Dir#:2
wNotes=0 sortOrder:rid,rpid

 

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