EGFR Cancer Research Results

EGFR, Epidermal Growth Factor Receptor: Click to Expand ⟱
Source: HalifaxProj(inhibit) CGL-Driver
Type: Oncogene
EGFR (Epidermal growth factor receptor), which belongs to the tyrosine kinase receptor family (RTKs)
Epidermal Growth Factor Receptor (EGFR) is a cell surface protein that plays a crucial role in the regulation of cell growth, survival, proliferation, and differentiation. It is part of the ErbB family of receptors and is activated by binding to its ligands, such as epidermal growth factor (EGF) and transforming growth factor-alpha (TGF-α).

-plays a crucial role in regulating cell growth and division.

Many cancers exhibit overexpression of EGFR, which can lead to enhanced signaling and contribute to tumor growth and survival. This overexpression is often associated with aggressive tumor behavior and poor prognosis.
Scientific Papers found: Click to Expand⟱
6542- BSB,    Health Benefits, Pharmacological Effects, Molecular Mechanisms, and Therapeutic Potential of α-Bisabolol
- Review, Var, NA - Review, Park, NA - Review, AD, NA
AntiCan↑, *neuroP↑, *cardioP↑, *AntiBio↑, *BioAv↑, *toxicity↓, *BioAv↑, *motorD↑, *SOD↑, *Catalase↑, *Keap1↑, *MDA↓, *GSH↑, *IL1β↓, *IL6↓, *TNF-α↓, *iNOS↓, *COX2↓, *lipid-P↓, *Cyt‑c↓, *ROS↓, *MMP↑, *antiOx↑, *AChE↓, *Apoptosis↓, *BAX↓, *Casp3↓, *Bcl-2↑, *BACE↓, *BChE↓, *eff↑, *Aβ↓, *ATP↑, RadioS↑, Cyt‑c↑, Casp3↑, Casp8↑, Casp9↑, Apoptosis↑, PARP↑, BAX↑, BID↑, NF-kB↑, Fas↑, EGFR↑, TIMP2↑, XIAP↓, COX2↓, Bak↓, Bcl-2↓, P53↑, HER2/EBBR2↓, FGF↓, CEA↓, Akt↓, TumCCA↑, *Imm↑, *CD4+↑, *CD8+↑, *BBB↑, *Pain↓, *cardioP↑, *TBARS↓, *SOD↑, *Catalase↑, *GSH↑, *AntiBio↑, *AntiFungal↑, *GastroP↑, *RenoP↑, *creat↓, *uricA↓, *Inflam↓, *iNOS↓, *COX2↓, *TNF-α↓, *IL6↑, *MMP13↓,
2919- LT,    Luteolin as a potential therapeutic candidate for lung cancer: Emerging preclinical evidence
- Review, Var, NA
RadioS↑, ChemoSen↑, chemoP↑, *lipid-P↓, *Catalase↑, *SOD↑, *GPx↑, *GSTs↑, *GSH↑, *TNF-α↓, *IL1β↓, *Casp3↓, *IL10↑, NRF2↓, HO-1↓, NQO1↓, GSH↓, MET↓, p‑MET↓, p‑Akt↓, HGF/c-Met↓, NF-kB↓, Bcl-2↓, SOD2↓, Casp8↑, Casp3↑, PARP↑, MAPK↓, NLRP3↓, ASC↓, Casp1↓, IL6↓, IKKα↓, p‑p65↓, p‑p38↑, MMP2↓, ICAM-1↓, EGFR↑, p‑PI3K↓, E-cadherin↓, ZO-1↑, N-cadherin↓, CLDN1↓, β-catenin/ZEB1↓, Snail↓, Vim↑, ITGB1↓, FAK↓, p‑Src↓, Rac1↓, Cdc42↓, Rho↓, PCNA↓, Tyro3↓, AXL↓, CEA↓, NSE↓, SOD↓, Catalase↓, GPx↓, GSR↓, GSTs↓, GSH↓, VitE↓, VitC↓, CYP1A1↓, cFos↑, AR↓, AIF↑, p‑STAT6↓, p‑MDM2↓, NOTCH1↓, VEGF↓, H3↓, H4↓, HDAC↓, SIRT1↓, ROS↑, DR5↑, Cyt‑c↑, p‑JNK↑, PTEN↓, mTOR↓, CD34↓, FasL↑, Fas↑, XIAP↓, p‑eIF2α↑, CHOP↑, LC3II↑, PD-1↓, STAT3↓, IL2↑, EMT↓, cachexia↓, BioAv↑, *Half-Life↝, *eff↑,

Showing Research Papers: 1 to 2 of 2

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 2

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

Catalase↓, 1,   CYP1A1↓, 1,   GPx↓, 1,   GSH↓, 2,   GSR↓, 1,   GSTs↓, 1,   HO-1↓, 1,   NQO1↓, 1,   NRF2↓, 1,   ROS↑, 1,   SOD↓, 1,   SOD2↓, 1,   VitC↓, 1,   VitE↓, 1,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

AIF↑, 1,   XIAP↓, 2,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

SIRT1↓, 1,  

Cell Death(tgid=5) ⓘ

Akt↓, 1,   p‑Akt↓, 1,   Apoptosis↑, 1,   Bak↓, 1,   BAX↑, 1,   Bcl-2↓, 2,   BID↑, 1,   Casp1↓, 1,   Casp3↑, 2,   Casp8↑, 2,   Casp9↑, 1,   Cyt‑c↑, 2,   DR5↑, 1,   Fas↑, 2,   FasL↑, 1,   HGF/c-Met↓, 1,   p‑JNK↑, 1,   MAPK↓, 1,   p‑MDM2↓, 1,   p‑p38↑, 1,  

Kinase & Signal Transduction(tgid=6) ⓘ

HER2/EBBR2↓, 1,  

Transcription & Epigenetics(tgid=7) ⓘ

H3↓, 1,   H4↓, 1,  

Protein Folding & ER Stress(tgid=8) ⓘ

CHOP↑, 1,   p‑eIF2α↑, 1,  

Autophagy & Lysosomes(tgid=9) ⓘ

LC3II↑, 1,  

DNA Damage & Repair(tgid=10) ⓘ

P53↑, 1,   PARP↑, 2,   PCNA↓, 1,  

Cell Cycle & Senescence(tgid=11) ⓘ

TumCCA↑, 1,  

Proliferation, Differentiation & Cell State(tgid=12) ⓘ

CD34↓, 1,   cFos↑, 1,   EMT↓, 1,   FGF↓, 1,   HDAC↓, 1,   mTOR↓, 1,   NOTCH1↓, 1,   p‑PI3K↓, 1,   PTEN↓, 1,   p‑Src↓, 1,   STAT3↓, 1,   p‑STAT6↓, 1,  

Migration(tgid=13) ⓘ

AXL↓, 1,   Cdc42↓, 1,   CEA↓, 2,   CLDN1↓, 1,   E-cadherin↓, 1,   FAK↓, 1,   ITGB1↓, 1,   MET↓, 1,   p‑MET↓, 1,   MMP2↓, 1,   N-cadherin↓, 1,   Rac1↓, 1,   Rho↓, 1,   Snail↓, 1,   TIMP2↑, 1,   Tyro3↓, 1,   Vim↑, 1,   ZO-1↑, 1,   β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature(tgid=14) ⓘ

EGFR↑, 2,   VEGF↓, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

ASC↓, 1,   COX2↓, 1,   ICAM-1↓, 1,   IKKα↓, 1,   IL2↑, 1,   IL6↓, 1,   NF-kB↓, 1,   NF-kB↑, 1,   p‑p65↓, 1,   PD-1↓, 1,  

Protein Aggregation(tgid=19) ⓘ

NLRP3↓, 1,  

Hormonal & Nuclear Receptors(tgid=20) ⓘ

AR↓, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↑, 1,   ChemoSen↑, 1,   RadioS↑, 2,  

Clinical Biomarkers(tgid=22) ⓘ

AR↓, 1,   CEA↓, 2,   EGFR↑, 2,   HER2/EBBR2↓, 1,   IL6↓, 1,   NSE↓, 1,  

Functional Outcomes(tgid=23) ⓘ

AntiCan↑, 1,   cachexia↓, 1,   chemoP↑, 1,  
Total Targets: 104

Pathway results for Effect on Normal Cells:


NA, unassigned(tgid=0) ⓘ

AntiBio↑, 2,  

Redox & Oxidative Stress(tgid=1) ⓘ

antiOx↑, 1,   Catalase↑, 3,   GPx↑, 1,   GSH↑, 3,   GSTs↑, 1,   Keap1↑, 1,   lipid-P↓, 2,   MDA↓, 1,   ROS↓, 1,   SOD↑, 3,   TBARS↓, 1,   uricA↓, 1,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

ATP↑, 1,   MMP↑, 1,  

Cell Death(tgid=5) ⓘ

Apoptosis↓, 1,   BAX↓, 1,   Bcl-2↑, 1,   Casp3↓, 2,   Cyt‑c↓, 1,   iNOS↓, 2,  

Migration(tgid=13) ⓘ

MMP13↓, 1,  

Barriers & Transport(tgid=15) ⓘ

BBB↑, 1,   GastroP↑, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

CD4+↑, 1,   COX2↓, 2,   IL10↑, 1,   IL1β↓, 2,   IL6↓, 1,   IL6↑, 1,   Imm↑, 1,   Inflam↓, 1,   TNF-α↓, 3,  

Synaptic & Neurotransmission(tgid=18) ⓘ

AChE↓, 1,   BChE↓, 1,  

Protein Aggregation(tgid=19) ⓘ

Aβ↓, 1,   BACE↓, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↑, 2,   eff↑, 2,   Half-Life↝, 1,  

Clinical Biomarkers(tgid=22) ⓘ

creat↓, 1,   IL6↓, 1,   IL6↑, 1,  

Functional Outcomes(tgid=23) ⓘ

cardioP↑, 2,   motorD↑, 1,   neuroP↑, 1,   Pain↓, 1,   RenoP↑, 1,   toxicity↓, 1,  

Infection & Microbiome(tgid=24) ⓘ

AntiFungal↑, 1,   CD8+↑, 1,  
Total Targets: 51

Scientific Paper Hit Count for: EGFR, Epidermal Growth Factor Receptor
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#:94  State#:%  Dir#:2
  wNotes=0  sortOrder:rid,rpid

 

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