NOTCH1 Cancer Research Results

NOTCH1, Notch homolog 1, translocation-associated (Drosophila): Click to Expand ⟱
Source: CGL-Driver Genes
Type: TSG
NOTCH1 is a gene that encodes a protein involved in the Notch signaling pathway, which plays a crucial role in cell differentiation, proliferation, and apoptosis.
Overall, the expression of NOTCH1 in cancer is complex and can have different implications depending on the tumor type and microenvironment.
Notch1 is a transmembrane receptor involved in the Notch signaling pathway, a highly conserved mechanism that regulates cell differentiation, proliferation, and apoptosis.

– Activation occurs following interaction with membrane-bound ligands (e.g., Jagged and Delta-like proteins) on adjacent cells, leading to proteolytic cleavage and release of the Notch intracellular domain (NICD).
Notch1 expression can be upregulated or activated in many types of cancers, including T‑cell acute lymphoblastic leukemia (T‑ALL), breast cancer, and certain solid tumors.

– In other contexts, such as in some squamous cell carcinomas and cancers of the colon, Notch1 signaling can be reduced, suggesting a dual role depending on the tissue of origin and tumor microenvironment.


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↑,
2782- CHr,    Broad-Spectrum Preclinical Antitumor Activity of Chrysin: Current Trends and Future Perspectives
- Review, Var, NA - Review, Stroke, NA - Review, Park, NA
*antiOx↑, *Inflam↓, *hepatoP↑, *neuroP↑, *BioAv↓, *cardioP↑, *lipidLev↓, *RenoP↑, *TNF-α↓, *IL2↓, *PI3K↓, *Akt↓, *ROS↓, *cognitive↑, eff↑, cycD1/CCND1↓, hTERT/TERT↓, VEGF↓, p‑STAT3↓, TumMeta↓, TumCP↓, eff↑, eff↑, IL1β↓, IL6↓, NF-kB↓, ROS↑, MMP↓, Cyt‑c↑, Apoptosis↑, ER Stress↑, Ca+2↑, TET1↑, Let-7↑, Twist↓, EMT↓, TumCCA↑, Casp3↑, Casp9↑, BAX↑, HK2↓, GlucoseCon↓, lactateProd↓, Glycolysis↓, SHP1↑, N-cadherin↓, E-cadherin↑, UPR↑, PERK↑, ATF4↑, eIF2α↑, RadioS↑, NOTCH1↑, NRF2↓, BioAv↑, eff↑,
2785- CHr,    Emerging cellular and molecular mechanisms underlying anticancer indications of chrysin
- Review, Var, NA
*NF-kB↓, *COX2↓, *iNOS↓, angioG↓, TOP1↓, HDAC↓, TNF-α↓, IL1β↓, cardioP↑, RenoP↑, neuroP↑, LDL↓, BioAv↑, eff↑, cycD1/CCND1↓, hTERT/TERT↓, MMP-10↓, Akt↓, STAT3↓, VEGF↓, EGFR↓, Snail↓, Slug↓, Vim↓, E-cadherin↑, eff↑, TET1↑, ROS↑, mTOR↓, PPARα↓, ER Stress↑, Ca+2↑, ERK↓, MMP↑, Cyt‑c↑, Casp3↑, HK2↓, NRF2↓, HO-1↓, MMP2↓, MMP9↓, Fibronectin↓, GRP78/BiP↑, XBP-1↓, p‑eIF2α↑, *AST↓, ALAT↓, ALP↓, LDH↓, COX2↑, Bcl-xL↓, IL6↓, PGE2↓, iNOS↓, DNAdam↑, UPR↑, Hif1a↓, EMT↓, Twist↓, lipid-P↑, CLDN1↓, PDK1↓, IL10↓, TLR4↓, NOTCH1↑, PARP↑, Mcl-1↓, XIAP↓,
3734- MF,    Extremely low frequency electromagnetic fields promote cognitive function and hippocampal neurogenesis of rats with cerebral ischemia
- in-vivo, AD, NA
*cognitive↑, *NOTCH1↑,

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

HO-1↓, 1,   lipid-P↑, 2,   NRF2↓, 3,   ROS↓, 1,   ROS↑, 5,  

Mitochondria & Bioenergetics

mt-ATP↓, 1,   MMP↓, 1,   MMP↑, 1,   XIAP↓, 1,  

Core Metabolism/Glycolysis

ALAT↓, 1,   cMyc↓, 1,   GlucoseCon↓, 1,   Glycolysis↓, 2,   HK2↓, 2,   lactateProd↓, 1,   LDH↓, 1,   LDL↓, 1,   PDK1↓, 2,   PDK3↑, 1,   PPARα↓, 1,  

Cell Death

Akt↓, 2,   Apoptosis↑, 1,   BAX↑, 1,   Bcl-xL↓, 1,   Casp↑, 1,   Casp3↑, 2,   Casp9↑, 1,   Cyt‑c↑, 2,   hTERT/TERT↓, 2,   iNOS↓, 1,   Mcl-1↓, 1,  

Protein Folding & ER Stress

eIF2α↑, 1,   p‑eIF2α↑, 1,   ER Stress↑, 3,   GRP78/BiP↑, 1,   PERK↑, 1,   UPR↑, 2,   XBP-1↓, 1,  

DNA Damage & Repair

DNAdam↑, 1,   PARP↑, 1,   PCNA↓, 1,  

Cell Cycle & Senescence

CDK2↓, 1,   CycB/CCNB1↓, 1,   cycD1/CCND1↓, 2,   TumCCA↑, 2,  

Proliferation, Differentiation & Cell State

EMT↓, 3,   ERK↓, 1,   HDAC↓, 1,   Let-7↑, 1,   mTOR↓, 2,   NOTCH1↑, 3,   PI3K↓, 1,   SHP1↑, 1,   STAT3↓, 2,   p‑STAT3↓, 1,   TOP1↓, 2,  

Migration

Ca+2↑, 2,   CLDN1↓, 1,   E-cadherin↑, 2,   p‑FAK↓, 1,   Fibronectin↓, 1,   Ki-67↓, 1,   MMP-10↓, 1,   MMP2↓, 1,   MMP9↓, 1,   MMP9↑, 1,   N-cadherin↓, 1,   Rho↓, 1,   ROCK1↓, 1,   Slug↓, 1,   Snail↓, 1,   TET1↑, 2,   TumCP↓, 1,   TumMeta↓, 2,   Twist↓, 2,   uPA↓, 1,   Vim↓, 1,  

Angiogenesis & Vasculature

angioG↓, 2,   ATF4↑, 1,   EGFR↓, 1,   Hif1a↓, 1,   VEGF↓, 3,  

Barriers & Transport

BBB↑, 1,   GLUT1↓, 1,  

Immune & Inflammatory Signaling

COX2↓, 1,   COX2↑, 1,   IL10↓, 1,   IL1β↓, 3,   IL2↑, 1,   IL6↓, 2,   NF-kB↓, 2,   PD-L1↓, 1,   PGE2↓, 1,   TLR4↓, 1,   TNF-α↓, 2,  

Hormonal & Nuclear Receptors

AR↓, 1,  

Drug Metabolism & Resistance

BioAv↓, 1,   BioAv↑, 3,   eff↑, 7,   Half-Life↓, 1,   RadioS↑, 1,  

Clinical Biomarkers

ALAT↓, 1,   ALP↓, 1,   AR↓, 1,   EGFR↓, 1,   hTERT/TERT↓, 2,   IL6↓, 2,   Ki-67↓, 1,   LDH↓, 1,   PD-L1↓, 1,  

Functional Outcomes

cardioP↑, 1,   neuroP↑, 1,   RenoP↑, 1,  
Total Targets: 113

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress

antiOx↑, 1,   Catalase↑, 1,   GPx↑, 1,   MDA↓, 1,   ROS↓, 2,   SOD↑, 1,  

Core Metabolism/Glycolysis

lipidLev↓, 1,  

Cell Death

Akt↓, 1,   iNOS↓, 1,  

Proliferation, Differentiation & Cell State

NOTCH1↑, 1,   PI3K↓, 1,  

Immune & Inflammatory Signaling

COX2↓, 1,   IL2↓, 1,   Inflam↓, 2,   NF-kB↓, 1,   TNF-α↓, 1,  

Drug Metabolism & Resistance

BioAv↓, 1,  

Clinical Biomarkers

AST↓, 1,  

Functional Outcomes

cardioP↑, 1,   cognitive↑, 2,   hepatoP↑, 2,   neuroP↑, 2,   RenoP↑, 1,  
Total Targets: 23

Scientific Paper Hit Count for: NOTCH1, Notch homolog 1, translocation-associated (Drosophila)
3 Chrysin
1 Propolis -bee glue
1 Magnetic Fields
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#:%  Target#:221  State#:%  Dir#:2
wNotes=0 sortOrder:rid,rpid

 

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