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.


GBM, Glioblastoma: Click to Expand ⟱
Glioblastoma is a fast-growing and aggressive brain tumor.

Scientific Papers found: Click to Expand⟱
2260- MF,    Alternative magnetic field exposure suppresses tumor growth via metabolic reprogramming
- in-vitro, GBM, U87MG - in-vitro, GBM, LN229 - in-vivo, NA, NA
TumCP↓, TumCG↓, OS↑, ROS↑, SOD2↑, eff↓, ECAR↓, OCR↑, selectivity↑, *toxicity∅, TumVol↓, PGC-1α↑, OXPHOS↑, Glycolysis↓, PKM2↓,

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

OXPHOS↑, 1,   ROS↑, 1,   SOD2↑, 1,  

Mitochondria & Bioenergetics

OCR↑, 1,   PGC-1α↑, 1,  

Core Metabolism/Glycolysis

ECAR↓, 1,   Glycolysis↓, 1,   PKM2↓, 1,  

Proliferation, Differentiation & Cell State

TumCG↓, 1,  

Migration

TumCP↓, 1,  

Drug Metabolism & Resistance

eff↓, 1,   selectivity↑, 1,  

Functional Outcomes

OS↑, 1,   TumVol↓, 1,  
Total Targets: 14

Pathway results for Effect on Normal Cells:


Functional Outcomes

toxicity∅, 1,  
Total Targets: 1

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:27  Cells:%  prod#:%  Target#:927  State#:%  Dir#:2
wNotes=0 sortOrder:rid,rpid

 

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