MET Cancer Research Results

MET, mesenchymal-epithelial-transition: Click to Expand ⟱
Source:
Type:
Mesenchymal-epithelial transition (MET) is a process that is closely related to its counterpart, epithelial-mesenchymal transition (EMT). While EMT is a process by which epithelial cells acquire mesenchymal characteristics, MET is the reverse process, where mesenchymal cells gain epithelial properties.
MET is an important process that can contribute to the development and progression of tumors. During MET, cancer cells can regain their epithelial characteristics, such as cell polarity and adhesion, which can lead to the formation of more organized and differentiated tumor structures.
Mesenchymal markers Vimentin (VIM), SNAIL, SLUG, and ZEB1.
Scientific Papers found: Click to Expand⟱
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 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 ⓘ

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 ⓘ

AIF↑, 1,   XIAP↓, 1,  

Core Metabolism/Glycolysis ⓘ

SIRT1↓, 1,  

Cell Death ⓘ

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

Transcription & Epigenetics ⓘ

H3↓, 1,   H4↓, 1,  

Protein Folding & ER Stress ⓘ

CHOP↑, 1,   p‑eIF2α↑, 1,  

Autophagy & Lysosomes ⓘ

LC3II↑, 1,  

DNA Damage & Repair ⓘ

PARP↑, 1,   PCNA↓, 1,  

Proliferation, Differentiation & Cell State ⓘ

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

Migration ⓘ

AXL↓, 1,   Cdc42↓, 1,   CEA↓, 1,   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,   Tyro3↓, 1,   Vim↑, 1,   ZO-1↑, 1,   β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature ⓘ

EGFR↑, 1,   VEGF↓, 1,  

Immune & Inflammatory Signaling ⓘ

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

Protein Aggregation ⓘ

NLRP3↓, 1,  

Hormonal & Nuclear Receptors ⓘ

AR↓, 1,  

Drug Metabolism & Resistance ⓘ

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

Clinical Biomarkers ⓘ

AR↓, 1,   CEA↓, 1,   EGFR↑, 1,   IL6↓, 1,   NSE↓, 1,  

Functional Outcomes ⓘ

cachexia↓, 1,   chemoP↑, 1,  
Total Targets: 89

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress ⓘ

Catalase↑, 1,   GPx↑, 1,   GSH↑, 1,   GSTs↑, 1,   lipid-P↓, 1,   SOD↑, 1,  

Cell Death ⓘ

Casp3↓, 1,  

Immune & Inflammatory Signaling ⓘ

IL10↑, 1,   IL1β↓, 1,   TNF-α↓, 1,  

Drug Metabolism & Resistance ⓘ

eff↑, 1,   Half-Life↝, 1,  
Total Targets: 12

Scientific Paper Hit Count for: MET, mesenchymal-epithelial-transition
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#:638  State#:1  Dir#:1
  wNotes=0  sortOrder:rid,rpid

 

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