Chrysin / GLUT1 Cancer Research Results

CHr, Chrysin: Click to Expand ⟱
Features:
Chrysin is found in passion flower and honey. It is a flavonoid.
-To reach plasma levels that might more closely match the concentrations used in in vitro studies (typically micromolar), considerably high doses or advanced delivery mechanisms would be necessary.
Chrysin is widely summarized as modulating PI3K/Akt and MAPK pathways in cancer.

-Note half-life 2 hrs, BioAv very poor often <1%
Pathways:
Graphical Pathways

- may induce ROS production
- ROS↑ related: MMP↓(ΔΨm), ER Stress↑, UPR↑, GRP78↑, Ca+2↑, Cyt‑c↑, Caspases↑, DNA damage↑, cl-PARP↑, HSP↓
- May Lower AntiOxidant defense in Cancer Cells: NRF2↓, GSH↓ HO1↓
- May Raise AntiOxidant defense in Normal Cells: ROS↓, NRF2↑, SOD↑, GSH↑, Catalase↑,
- lowers Inflammation : NF-kB↓, COX2↓, Pro-Inflammatory Cytokines : IL-1β↓, TNF-α↓, IL-6↓,
- inhibit Growth/Metastases : TumMeta↓, TumCG↓, EMT↓, MMP2↓, MMP9↓, TIMP2, uPA↓, VEGF↓, ROCK1↓, FAK↓, RhoA↓, NF-κB↓, ERK↓
- reactivate genes thereby inhibiting cancer cell growth : HDAC↓, P53↑, HSP↓,
- cause Cell cycle arrest : TumCCA↑, cyclin D1↓, CDK2↓, CDK4↓,
- inhibits Migration/Invasion : TumCMig↓, TumCI↓, FAK↓, ERK↓, EMT↓, TOP1↓, TET1↓,
- inhibits glycolysis and ATP depletion : HIF-1α↓, cMyc↓, GLUT1↓, LDH↓, HK2↓, PDKs↓, HK2↓, GRP78↑, GlucoseCon↓
- inhibits angiogenesis↓ : VEGF↓, HIF-1α↓, Notch↓, PDGF↓, EGFR↓,
- Others: PI3K↓, AKT↓, STAT↓, Wnt↓, AMPK↓, ERK↓, JNK, TrxR,
- Synergies: chemo-sensitization, chemoProtective, RadioSensitizer, 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 PI3K → AKT (± mTOR) survival axis ↓ PI3K/AKT (often ↓ p-AKT; downstream growth signals ↓) ↔ R, G Growth/survival suppression Frequently reported hub effect; contributes to reduced proliferation and sensitization to stress/apoptosis programs.
2 Intrinsic apoptosis (p53/Bcl-2 family → caspase-9/3) ↑ p53 axis (context); Bax↑/Bcl-2↓; ↑ caspase-9/3; apoptosis ↑ ↔ (generally less activation) G Apoptosis execution Common endpoint across many tumor models; often downstream of survival-pathway suppression and stress signaling.
3 ER stress / UPR (PERK and related arms) ER stress ↑; UPR activation ↑ ↔ R, G Stress-to-death coupling ER stress has been directly shown in chrysin-treated cancer cells and can couple to apoptosis.
4 JAK / STAT3 signaling ↓ STAT3 signaling (context) ↔ R, G Anti-survival transcription STAT3 inhibition is reported in cancer models and often aligns with reduced proliferation and increased apoptosis.
5 ROS / oxidative stress (context-dependent) ROS modulation (often ↑ mitochondrial ROS in tumor models) ↔ / antioxidant behavior in some contexts P, R, G Stress amplifier (variable) Direction depends on dose/model; avoid absolute “ROS always ↑/↓”. Oxidative stress + DDR has been linked to anti-angiogenic effects in vivo in melanoma models.
6 MAPK re-wiring (ERK / JNK / p38) MAPK shifts; JNK/p38 often stress-activated; ERK variable ↔ P, R, G Signal reprogramming MAPK effects differ by cell line; chrysin can suppress JNK/ERK signaling to reduce MMP-9 in some models.
7 Cell-cycle arrest / proliferation control Cell-cycle arrest ↑; proliferation ↓ ↔ G Cytostasis Often observed as later phenotype-level outcomes, downstream of signaling changes.
8 Invasion / metastasis (MMP-9; EMT programs) MMP-9 ↓; migration/invasion ↓ (context) ↔ G Anti-invasive phenotype Chrysin can reduce MMP-9 expression via AP-1 suppression and MAPK pathway effects in certain cancer models.
9 Angiogenesis (VEGF/angiogenic outputs) Angiogenesis outputs ↓ (context) ↔ G Anti-angiogenic support In melanoma models, chrysin has been associated with angiogenesis regression linked to oxidative stress and DNA damage response.
10 Bioavailability constraint (oral PK limitation) Systemic exposure often low without formulation — — Translation constraint Native chrysin oral bioavailability is extremely low due to poor solubility and extensive glucuronidation/sulfation with efflux; formulation strategies are commonly required for systemic effects.

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

  • P: 0–30 min (primary/physical–chemical effects; rapid signaling / phosphorylation shifts)
  • R: 30 min–3 hr (acute stress-response and redox signaling)
  • G: >3 hr (gene-regulatory adaptation and phenotype-level outcomes)
GLUT1, Glucose Transporter 1: Click to Expand ⟱
Source:
Type: protein
Also known as SLC2A1
An important hallmark in cancer cells is the increase in glucose uptake. GLUT1 is an important target in cancer treatment because cancer cells upregulate GLUT1, a membrane protein that facilitates the basal uptake of glucose in most cell types, to ensure the flux of sugar into metabolic pathways.
GLUT1 is a member of the facilitated glucose transporter family and is widely expressed in various tissues, including red blood cells, brain, and cancer cells.
GLUT1 has been shown to be overexpressed in many types of tumors, including breast, lung, and colon cancer. This overexpression may contribute to the development and progression of cancer by promoting glucose uptake and energy production in cancer cells.
GLUT1 is a protein that facilitates the transport of glucose across cell membranes. GLUT1 plays a role in the regulation of glucose metabolism in diabetes.
GLUT1 plays a role in the regulation of glucose metabolism in diabetes.
GLUT1 is also known to be involved in the Warburg effect.
GLUTs are expressed 10–12-fold higher in cancer cells than in healthy tissues, especially in highly proliferative and malignant tumors.

Downregulators:
-Resveratrol: associated with reduced GLUT1 expression.
-Curcumin: downregulate GLUT1 in various cancer cell lines
-Quercetin: downregulating the expression and function of GLUT1.
-EGCG: suppress GLUT1 expression
-Berberine: linked to decreased expression or activity of GLUT1.
Scientific Papers found: Click to Expand⟱
2781- CHr,  PBG,    Chrysin a promising anticancer agent: recent perspectives
- Review, Var, NA
PI3K↓, Akt↓, mTOR↓, MMP9↑, uPA↓, VEGF↓, AR↓, Casp↑, TumMeta↓, TumCCA↑, angioG↓, BioAv↓, *hepatoP↑, *neuroP↑, *SOD↑, *GPx↑, *ROS↓, *Inflam↓, *Catalase↑, *MDA↓, ROS↓, BBB↑, Half-Life↓, BioAv↑, ROS↑, eff↑, ROS↑, ROS↑, lipid-P↑, ER Stress↑, NOTCH1↑, NRF2↓, p‑FAK↓, Rho↓, PCNA↓, COX2↓, NF-kB↓, PDK1↓, PDK3↑, GLUT1↓, Glycolysis↓, mt-ATP↓, Ki-67↓, cMyc↓, ROCK1↓, TOP1↓, TNF-α↓, IL1β↓, CycB/CCNB1↓, CDK2↓, EMT↓, STAT3↓, PD-L1↓, IL2↑,

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 ⓘ

lipid-P↑, 1,   NRF2↓, 1,   ROS↓, 1,   ROS↑, 3,  

Mitochondria & Bioenergetics ⓘ

mt-ATP↓, 1,  

Core Metabolism/Glycolysis ⓘ

cMyc↓, 1,   Glycolysis↓, 1,   PDK1↓, 1,   PDK3↑, 1,  

Cell Death ⓘ

Akt↓, 1,   Casp↑, 1,  

Protein Folding & ER Stress ⓘ

ER Stress↑, 1,  

DNA Damage & Repair ⓘ

PCNA↓, 1,  

Cell Cycle & Senescence ⓘ

CDK2↓, 1,   CycB/CCNB1↓, 1,   TumCCA↑, 1,  

Proliferation, Differentiation & Cell State ⓘ

EMT↓, 1,   mTOR↓, 1,   NOTCH1↑, 1,   PI3K↓, 1,   STAT3↓, 1,   TOP1↓, 1,  

Migration ⓘ

p‑FAK↓, 1,   Ki-67↓, 1,   MMP9↑, 1,   Rho↓, 1,   ROCK1↓, 1,   TumMeta↓, 1,   uPA↓, 1,  

Angiogenesis & Vasculature ⓘ

angioG↓, 1,   VEGF↓, 1,  

Barriers & Transport ⓘ

BBB↑, 1,   GLUT1↓, 1,  

Immune & Inflammatory Signaling ⓘ

COX2↓, 1,   IL1β↓, 1,   IL2↑, 1,   NF-kB↓, 1,   PD-L1↓, 1,   TNF-α↓, 1,  

Hormonal & Nuclear Receptors ⓘ

AR↓, 1,  

Drug Metabolism & Resistance ⓘ

BioAv↓, 1,   BioAv↑, 1,   eff↑, 1,   Half-Life↓, 1,  

Clinical Biomarkers ⓘ

AR↓, 1,   Ki-67↓, 1,   PD-L1↓, 1,  
Total Targets: 47

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress ⓘ

Catalase↑, 1,   GPx↑, 1,   MDA↓, 1,   ROS↓, 1,   SOD↑, 1,  

Immune & Inflammatory Signaling ⓘ

Inflam↓, 1,  

Functional Outcomes ⓘ

hepatoP↑, 1,   neuroP↑, 1,  
Total Targets: 8

Scientific Paper Hit Count for: GLUT1, Glucose Transporter 1
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#:61  Target#:566  State#:%  Dir#:1
  wNotes=0  sortOrder:rid,rpid

 

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