GSTA1 Cancer Research Results

GSTA1, Glutathione S-Transferase A1: Click to Expand ⟱
Source:
Type:
GSTA1 belongs to the glutathione S-transferase (GST) superfamily of enzymes. These enzymes catalyze the conjugation of glutathione (GSH) to a variety of electrophilic substrates, thereby aiding in their detoxification.
By facilitating the detoxification of reactive metabolites, carcinogens, and drugs, GSTA1 helps protect cells against oxidative stress and chemical-induced damage.
In tumor cells, upregulation of GSTA1 may be a defensive response to increased oxidative stress. While this can protect normal cells, in a tumor setting, enhanced detoxification may allow cancer cells to survive in a hostile microenvironment.
Elevated levels of GSTA1 have been linked to resistance to chemotherapy. As GSTA1 helps metabolize and clear chemotherapeutic agents, its overexpression in tumors can contribute to treatment resistance
-GSTA1 expression levels are being evaluated as a prognostic marker. In some studies, its overexpression has correlated with aggressive tumor behavior, higher rates of recurrence, and reduced overall survival.


Scientific Papers found: Click to Expand⟱
3277- Lyco,    Recent trends and advances in the epidemiology, synergism, and delivery system of lycopene as an anti-cancer agent
- Review, Var, NA
antiOx↑, TumCP↓, Apoptosis↑, TumMeta↑, ChemoSen↑, BioAv↓, Dose↝, BioAv↓, BioAv↑, SOD↑, Catalase↑, GPx↑, IL2↑, IL4↑, IL1↑, TNF-α↑, GSH↑, GPx↑, GSTA1↑, GSR↑, PPARγ↑, Casp3↑, NF-kB↓, COX2/PTGS2↓, Bcl-2↑, BAX↓, P53↓, CHK1↓, Chk2↓, γH2AX↓, DNAdam↓, ROS↓, P21↑, PCNA↓, β-catenin/ZEB1↓, PGE2↓, ERK↓, cMyc↓, cycE/CCNE↓, JAK1↓, STAT3↓, SIRT1↑, cl‑PARP↑, cycD1/CCND1↓, TNF-α↓, IL6↓, p65↓, MMP2↓, MMP9↓, Wnt↓,
1730- SFN,    Sulforaphane: An emergent anti-cancer stem cell agent
- Review, Var, NA
BioAv↓, BioAv↑, GSTA1↑, P450↓, TumCCA↑, HDAC↓, P21↑, p27/CDKN1B↑, DNMT1↓, DNMT3A↓, cycD1/CCND1↑, DNAdam↑, BAX↑, Cyt‑c↑, Apoptosis↑, ROS↑, AIF↑, CDK1↑, Casp3↑, Casp8↑, Casp9↑, NRF2↑, NF-kB↓, TNF-α↓, IL1β↓, CSCs↓, CD133↓, CD44↓, ALDH↓, Nanog↓, OCT4↓, hTERT/TERT↓, MMP2↓, EMT↓, ALDH1A1↓, Wnt↓, NOTCH↓, ChemoSen↑, *Ki-67↓, *HDAC3↓, *HDAC↓,

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) ⓘ

antiOx↑, 1,   Catalase↑, 1,   GPx↑, 2,   GSH↑, 1,   GSR↑, 1,   GSTA1↑, 2,   NRF2↑, 1,   ROS↓, 1,   ROS↑, 1,   SOD↑, 1,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

AIF↑, 1,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

cMyc↓, 1,   PPARγ↑, 1,   SIRT1↑, 1,  

Cell Death(tgid=5) ⓘ

Apoptosis↑, 2,   BAX↓, 1,   BAX↑, 1,   Bcl-2↑, 1,   Casp3↑, 2,   Casp8↑, 1,   Casp9↑, 1,   Chk2↓, 1,   Cyt‑c↑, 1,   hTERT/TERT↓, 1,   p27/CDKN1B↑, 1,  

DNA Damage & Repair(tgid=10) ⓘ

CHK1↓, 1,   DNAdam↓, 1,   DNAdam↑, 1,   DNMT1↓, 1,   DNMT3A↓, 1,   P53↓, 1,   cl‑PARP↑, 1,   PCNA↓, 1,   γH2AX↓, 1,  

Cell Cycle & Senescence(tgid=11) ⓘ

CDK1↑, 1,   cycD1/CCND1↓, 1,   cycD1/CCND1↑, 1,   cycE/CCNE↓, 1,   P21↑, 2,   TumCCA↑, 1,  

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

ALDH↓, 1,   ALDH1A1↓, 1,   CD133↓, 1,   CD44↓, 1,   CSCs↓, 1,   EMT↓, 1,   ERK↓, 1,   HDAC↓, 1,   Nanog↓, 1,   NOTCH↓, 1,   OCT4↓, 1,   STAT3↓, 1,   Wnt↓, 2,  

Migration(tgid=13) ⓘ

MMP2↓, 2,   MMP9↓, 1,   TumCP↓, 1,   TumMeta↑, 1,   β-catenin/ZEB1↓, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

COX2/PTGS2↓, 1,   IL1↑, 1,   IL1β↓, 1,   IL2↑, 1,   IL4↑, 1,   IL6↓, 1,   JAK1↓, 1,   NF-kB↓, 2,   p65↓, 1,   PGE2↓, 1,   TNF-α↓, 2,   TNF-α↑, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↓, 3,   BioAv↑, 2,   ChemoSen↑, 2,   Dose↝, 1,   P450↓, 1,  

Clinical Biomarkers(tgid=22) ⓘ

hTERT/TERT↓, 1,   IL6↓, 1,  
Total Targets: 77

Pathway results for Effect on Normal Cells:


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

HDAC↓, 1,   HDAC3↓, 1,  

Migration(tgid=13) ⓘ

Ki-67↓, 1,  

Clinical Biomarkers(tgid=22) ⓘ

Ki-67↓, 1,  
Total Targets: 4

Scientific Paper Hit Count for: GSTA1, Glutathione S-Transferase A1
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:0  prod#:%  Target#:1091  State#:%  Dir#:2
wNotes=0 sortOrder:rid,rpid

 

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