eIF2α Cancer Research Results

eIF2α, Eukaryotic translation initiation factor 2: Click to Expand ⟱
Source:
Type:
The phosphorylation of eIF2α is carried out by a family of four kinases, PERK (PKR-like ER kinase), PKR (protein kinase double-stranded RNA-dependent), GCN2 (general control non-derepressible-2), and HRI (heme-regulated inhibitor).
Eukaryotic translation initiation factor 2 alpha (eIF2α) is a critical protein involved in the initiation of protein synthesis in eukaryotic cells. It plays a key role in regulating translation in response to various cellular stresses, including nutrient deprivation, oxidative stress, and viral infection. The phosphorylation status of eIF2α is particularly important, as it can influence cell survival, apoptosis, and the overall stress response.

The phosphorylation status of eIF2α can have significant prognostic implications in cancer. Elevated levels of phosphorylated eIF2α are often associated with poor prognosis in several cancer types, as they may indicate a tumor's ability to adapt to stress and survive in unfavorable conditions.
Scientific Papers found: Click to Expand⟱
965- SK,    Shikonin suppresses proliferation and induces cell cycle arrest through the inhibition of hypoxia-inducible factor-1α signaling
- in-vitro, CRC, HCT116 - in-vitro, CRC, SW-620
Hif1a↓, ROS↓, mTOR↓, p70S6↓, 4E-BP1↓, eIF2α↓, TumCCA↑, TumCP↓, Half-Life↝,
5107- SSE,    Involvement of p38 in signal switching from autophagy to apoptosis via the PERK/eIF2α/ATF4 axis in selenite-treated NB4 cells
- vitro+vivo, AML, APL NB4
PERK↑, eIF2α↑, ATF4↑, Apoptosis↑, AntiTum↑, ER Stress↑, p38↑,
3427- TQ,    Chemopreventive and Anticancer Effects of Thymoquinone: Cellular and Molecular Targets
ROS⇅, Fas↑, DR5↑, TRAIL↑, Casp3↑, Casp8↑, Casp9↑, P53↑, mTOR↓, Bcl-2↓, BID↓, CXCR4↓, JNK↑, p38↑, MAPK↑, LC3II↑, ATG7↑, Beclin-1↑, AMPK↑, PPARγ↑, eIF2α↓, P70S6K↓, VEGF↓, ERK↓, NF-kB↓, XIAP↓, survivin↓, p65↓, DLC1↑, FOXO↑, TET2↑, CYP1B1↑, UHRF1↓, DNMT1↓, HDAC1↓, IL2↑, IL1↓, IL6↓, IL10↓, IL12↓, TNF-α↓, iNOS↓, COX2↓, 5LO↓, AP-1↓, PI3K↓, Akt↓, cMET↓, VEGFR2↓, CXCL1↓, ITGA5↓, Wnt↓, β-catenin/ZEB1↓, GSK‐3β↓, Myc↓, cycD1/CCND1↓, N-cadherin↓, Snail↓, Slug↓, Vim↓, Twist↓, Zeb1↓, MMP2↓, MMP7↓, MMP9↓, JAK2↓, STAT3↓, NOTCH↓, cycA1/CCNA1↓, CDK2↓, CDK4↓, CDK6↓, CDC2↓, CDC25↓, Mcl-1↓, E2Fs↓, p16↑, p27↑, P21↑, ChemoSen↑,
3416- TQ,    Thymoquinone induces apoptosis in bladder cancer cell via endoplasmic reticulum stress-dependent mitochondrial pathway
- in-vitro, Bladder, T24/HTB-9 - in-vitro, Bladder, 253J - in-vitro, Nor, SV-HUC-1
TumCP↓, Apoptosis↑, ER Stress↑, cl‑Casp3↑, cl‑Casp8↑, cl‑Casp7↑, cl‑PARP↑, Cyt‑c↑, PERK↑, IRE1↑, ATF6↑, p‑eIF2α↑, ATF4↑, GRP78/BiP↑, CHOP↑,
3149- VitC,    Hepatoprotective benefits of vitamin C against perfluorooctane sulfonate-induced liver damage in mice through suppressing inflammatory reaction and ER stress
- in-vivo, Nor, NA
*hepatoP↑, *ALAT↓, *AST↓, *TNF-α↓, *IL6↓, *ER Stress↓, *ATF6↓, *eIF2α↓, *GRP78/BiP↓, *XBP-1↓, *Inflam↓,

Showing Research Papers: 51 to 55 of 55
Prev Page 2 of 2

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 55

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress ⓘ

ROS↓, 1,   ROS⇅, 1,  

Mitochondria & Bioenergetics ⓘ

CDC2↓, 1,   CDC25↓, 1,   XIAP↓, 1,  

Core Metabolism/Glycolysis ⓘ

AMPK↑, 1,   ATG7↑, 1,   PPARγ↑, 1,  

Cell Death ⓘ

Akt↓, 1,   Apoptosis↑, 2,   Bcl-2↓, 1,   BID↓, 1,   Casp3↑, 1,   cl‑Casp3↑, 1,   cl‑Casp7↑, 1,   Casp8↑, 1,   cl‑Casp8↑, 1,   Casp9↑, 1,   Cyt‑c↑, 1,   DR5↑, 1,   Fas↑, 1,   iNOS↓, 1,   JNK↑, 1,   MAPK↑, 1,   Mcl-1↓, 1,   Myc↓, 1,   p27↑, 1,   p38↑, 2,   survivin↓, 1,   TRAIL↑, 1,  

Kinase & Signal Transduction ⓘ

p70S6↓, 1,  

Protein Folding & ER Stress ⓘ

ATF6↑, 1,   CHOP↑, 1,   eIF2α↓, 2,   eIF2α↑, 1,   p‑eIF2α↑, 1,   ER Stress↑, 2,   GRP78/BiP↑, 1,   IRE1↑, 1,   PERK↑, 2,  

Autophagy & Lysosomes ⓘ

Beclin-1↑, 1,   LC3II↑, 1,  

DNA Damage & Repair ⓘ

CYP1B1↑, 1,   DNMT1↓, 1,   p16↑, 1,   P53↑, 1,   cl‑PARP↑, 1,   UHRF1↓, 1,  

Cell Cycle & Senescence ⓘ

CDK2↓, 1,   CDK4↓, 1,   cycA1/CCNA1↓, 1,   cycD1/CCND1↓, 1,   E2Fs↓, 1,   P21↑, 1,   TumCCA↑, 1,  

Proliferation, Differentiation & Cell State ⓘ

4E-BP1↓, 1,   cMET↓, 1,   ERK↓, 1,   FOXO↑, 1,   GSK‐3β↓, 1,   HDAC1↓, 1,   mTOR↓, 2,   NOTCH↓, 1,   P70S6K↓, 1,   PI3K↓, 1,   STAT3↓, 1,   Wnt↓, 1,  

Migration ⓘ

5LO↓, 1,   AP-1↓, 1,   DLC1↑, 1,   ITGA5↓, 1,   MMP2↓, 1,   MMP7↓, 1,   MMP9↓, 1,   N-cadherin↓, 1,   Slug↓, 1,   Snail↓, 1,   TumCP↓, 2,   Twist↓, 1,   Vim↓, 1,   Zeb1↓, 1,   β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature ⓘ

ATF4↑, 2,   Hif1a↓, 1,   VEGF↓, 1,   VEGFR2↓, 1,  

Immune & Inflammatory Signaling ⓘ

COX2↓, 1,   CXCL1↓, 1,   CXCR4↓, 1,   IL1↓, 1,   IL10↓, 1,   IL12↓, 1,   IL2↑, 1,   IL6↓, 1,   JAK2↓, 1,   NF-kB↓, 1,   p65↓, 1,   TNF-α↓, 1,  

Hormonal & Nuclear Receptors ⓘ

CDK6↓, 1,  

Drug Metabolism & Resistance ⓘ

ChemoSen↑, 1,   Half-Life↝, 1,   TET2↑, 1,  

Clinical Biomarkers ⓘ

IL6↓, 1,   Myc↓, 1,  

Functional Outcomes ⓘ

AntiTum↑, 1,  
Total Targets: 105

Pathway results for Effect on Normal Cells:


Core Metabolism/Glycolysis ⓘ

ALAT↓, 1,  

Protein Folding & ER Stress ⓘ

ATF6↓, 1,   eIF2α↓, 1,   ER Stress↓, 1,   GRP78/BiP↓, 1,   XBP-1↓, 1,  

Immune & Inflammatory Signaling ⓘ

IL6↓, 1,   Inflam↓, 1,   TNF-α↓, 1,  

Clinical Biomarkers ⓘ

ALAT↓, 1,   AST↓, 1,   IL6↓, 1,  

Functional Outcomes ⓘ

hepatoP↑, 1,  
Total Targets: 13

Scientific Paper Hit Count for: eIF2α, Eukaryotic translation initiation factor 2
7 Shikonin
5 Boron
5 Luteolin
4 Curcumin
3 Ashwagandha(Withaferin A)
3 Berberine
3 Chrysin
3 EGCG (Epigallocatechin Gallate)
2 Vitamin C (Ascorbic Acid)
2 Artemisinin
2 Honokiol
2 Resveratrol
2 Thymoquinone
1 Silver-NanoParticles
1 immunotherapy
1 Betulinic acid
1 Citric Acid
1 diet Methionine-Restricted Diet
1 Fisetin
1 γ-linolenic acid (Borage Oil)
1 Graviola
1 HydroxyCitric Acid
1 Naringin
1 nelfinavir/Viracept
1 Docetaxel
1 Propolis -bee glue
1 Piperlongumine
1 Quercetin
1 Selenite (Sodium)
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#:509  State#:%  Dir#:%
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