PGC-1α Cancer Research Results

PGC-1α, Peroxisome proliferator-activated receptor gamma coactivator 1-alpha: Click to Expand ⟱
Source:
Type: transcriptional coactivator
PGC-1α (Peroxisome proliferator-activated receptor gamma coactivator 1-alpha) is a transcriptional coactivator that plays a crucial role in regulating cellular energy metabolism, including mitochondrial biogenesis and function. PGC-1α is also involved in various cellular processes, including cell growth, differentiation, and survival.

In some cancers (for example, certain melanomas, breast cancers, and prostate cancers), elevated levels of PGC-1α have been observed.
– Increased PGC-1α may enhance mitochondrial function and support the energetic and biosynthetic demands of tumor cells, especially under metabolic stress or during metastasis.
Scientific Papers found: Click to Expand⟱
6981- Form,    Formononetin: a review of its source, pharmacology, drug combination, toxicity, derivatives, and drug delivery systems
- Review, Var, NA - Review, AD, NA - Review, PSA, NA
BioAv↝, *memory↑, *ROS↓, *AChE↓, *NF-kB↓, *Keap1↝, *NRF2↑, *Inflam↓, *PGC-1α↝, *HO-1↓, *p‑tau↓, *cognitive↑, *BDNF↑, *5HT↑, *Stroke↓, *PARP1↓, *AIF↓, *Casp3↓, NP/CIPN↓, *neuroP↑, *NGF↑, *TNF-α↓, *IL1β↓, *IL18↓, *IL6↓, *VCAM-1↓, *pol-M2 MC↑, *hepatoP↑, *AST↓, *ALAT↓, *LC3II↑, *Beclin-1↑, *p62↑, *COX2↑, *MMP↑, *ATP↑, *GSH↑, *Catalase↑, *GPx↑, *MDA↓, *antiPs↑, *AntiDiabetic↑, *glucose↓, *Insulin↑, *GutMicro↑, *Obesity↓, COX2↓, cycD1/CCND1↓, TumCCA↑, EGFR↓, GSK‐3β↑, Mcl-1↓, *toxicity↓, TumCP↓, Hif1a↓, VEGF↓, ERK↓, LAMs↓, Cyt‑c↑, Casp9↑, Casp3↑, PARP↑, TumCD↑, mitA↑, BACH1↓, P53↓, ROS↑, PD-1↓, NF-kB↓, *Bacteria↓, *AntiViral↑, *mt-ROS?, *PI3K↓, *chemoP↑, ChemoSen↑, eff↑, *toxicity↓, *BioAv↑, *BioAv↑, *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(tgid=1) ⓘ

ROS↑, 1,  

Cell Death(tgid=5) ⓘ

Casp3↑, 1,   Casp9↑, 1,   Cyt‑c↑, 1,   Mcl-1↓, 1,   TumCD↑, 1,  

DNA Damage & Repair(tgid=10) ⓘ

P53↓, 1,   PARP↑, 1,  

Cell Cycle & Senescence(tgid=11) ⓘ

cycD1/CCND1↓, 1,   mitA↑, 1,   TumCCA↑, 1,  

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

ERK↓, 1,   GSK‐3β↑, 1,  

Migration(tgid=13) ⓘ

BACH1↓, 1,   LAMs↓, 1,   TumCP↓, 1,  

Angiogenesis & Vasculature(tgid=14) ⓘ

EGFR↓, 1,   Hif1a↓, 1,   VEGF↓, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

COX2↓, 1,   NF-kB↓, 1,   PD-1↓, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↝, 1,   ChemoSen↑, 1,   eff↑, 1,  

Clinical Biomarkers(tgid=22) ⓘ

EGFR↓, 1,  

Functional Outcomes(tgid=23) ⓘ

NP/CIPN↓, 1,  
Total Targets: 27

Pathway results for Effect on Normal Cells:


NA, unassigned(tgid=0) ⓘ

Stroke↓, 1,  

Redox & Oxidative Stress(tgid=1) ⓘ

Catalase↑, 1,   GPx↑, 1,   GSH↑, 1,   HO-1↓, 1,   Keap1↝, 1,   MDA↓, 1,   NRF2↑, 1,   ROS↓, 1,   mt-ROS?, 1,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

AIF↓, 1,   ATP↑, 1,   Insulin↑, 1,   MMP↑, 1,   PGC-1α↝, 1,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

ALAT↓, 1,   glucose↓, 1,  

Cell Death(tgid=5) ⓘ

Casp3↓, 1,  

Autophagy & Lysosomes(tgid=9) ⓘ

Beclin-1↑, 1,   LC3II↑, 1,   p62↑, 1,  

DNA Damage & Repair(tgid=10) ⓘ

PARP1↓, 1,  

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

PI3K↓, 1,  

Migration(tgid=13) ⓘ

VCAM-1↓, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

COX2↑, 1,   IL18↓, 1,   IL1β↓, 1,   IL6↓, 1,   Inflam↓, 1,   pol-M2 MC↑, 1,   NF-kB↓, 1,   TNF-α↓, 1,  

Synaptic & Neurotransmission(tgid=18) ⓘ

5HT↑, 1,   AChE↓, 1,   BDNF↑, 1,   NGF↑, 1,   p‑tau↓, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↑, 2,   eff↑, 1,  

Clinical Biomarkers(tgid=22) ⓘ

ALAT↓, 1,   AST↓, 1,   GutMicro↑, 1,   IL6↓, 1,  

Functional Outcomes(tgid=23) ⓘ

AntiDiabetic↑, 1,   antiPs↑, 1,   chemoP↑, 1,   cognitive↑, 1,   hepatoP↑, 1,   memory↑, 1,   neuroP↑, 1,   Obesity↓, 1,   toxicity↓, 2,  

Infection & Microbiome(tgid=24) ⓘ

AntiViral↑, 1,   Bacteria↓, 1,  
Total Targets: 54

Scientific Paper Hit Count for: PGC-1α, Peroxisome proliferator-activated receptor gamma coactivator 1-alpha
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#:927  State#:%  Dir#:4
  wNotes=0  sortOrder:rid,rpid

 

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