PPARα Cancer Research Results

PPARα, Peroxisome Proliferator-Activated Receptor Alpha: Click to Expand ⟱
Source:
Type:
• PPARα
– Regulates fatty acid oxidation, lipid metabolism, and energy homeostasis.
– Expressed primarily in liver, heart, kidney, and muscle, PPARα activation induces genes involved in β-oxidation and lipid transport.
– It is also involved in modulating inflammatory responses, which may indirectly affect cellular proliferation and survival.

– Expression and activation in cancers can vary:
– In some liver cancers, PPARα expression or activity may be altered, reflecting its central role in hepatic metabolism.
– Overactivation has been associated with liver proliferation in rodent models; however, species differences exist regarding the carcinogenic potential of PPARα agonists.
– Outside the liver, PPARα’s role is less defined, but its regulation of inflammation and lipid metabolism may influence tumor metabolism and microenvironment.
Scientific Papers found: Click to Expand⟱
2767- Bos,    The potential role of boswellic acids in cancer prevention and treatment
- Review, Var, NA
*Inflam↓, AntiCan↑, *MAPK↑, *Ca+2↝, p‑ERK↓, TumCI↓, cycD1/CCND1↓, cycE/CCNE↓, CDK2↓, CDK4↓, p‑RB1↓, *NF-kB↓, *TNF-α↓, NF-kB↓, IKKα↓, MCP1↓, IL1α↓, MIP2↓, VEGF↓, Tf↓, COX2↓, MMP9↓, CXCR4↓, VEGF↓, eff↑, PPARα↓, lipid-P?, STAT3↓, TOP1↓, TOP2↑, 5HT↓, p‑PDGFR-BB↓, PDGF↓, AR↓, DR5↑, angioG↓, DR4↑, Casp3↑, Casp8↑, cl‑PARP↑, eff↑, chemoPv↑, Wnt↓, β-catenin/ZEB1↓, ascitic↓, Let-7↑, miR-200b↑, eff↑, MMP1↓, MMP2↓, eff↑, BioAv↓, BioAv↑, Half-Life↓, toxicity↓, Dose↑, BioAv↑, ChemoSen↑,
5897- CAR,    Carvacrol Selectively Induces Mitochondria-Related Apoptotic Signaling in Primary Breast Cancer-Associated Fibroblasts
- in-vitro, BC, NA
Bax:Bcl2↑, PPARα↓, NF-kB↓, SIRT1↑, SIRT3↑, MMP3↓, selectivity↑, Bcl-2↓, BAX↑, Casp3↑, Casp6↑, Casp9↑, mt-Apoptosis↑,
2785- CHr,    Emerging cellular and molecular mechanisms underlying anticancer indications of chrysin
- Review, Var, NA
*NF-kB↓, *COX2↓, *iNOS↓, angioG↓, TOP1↓, HDAC↓, TNF-α↓, IL1β↓, cardioP↑, RenoP↑, neuroP↑, LDL↓, BioAv↑, eff↑, cycD1/CCND1↓, hTERT/TERT↓, MMP-10↓, Akt↓, STAT3↓, VEGF↓, EGFR↓, Snail↓, Slug↓, Vim↓, E-cadherin↑, eff↑, TET1↑, ROS↑, mTOR↓, PPARα↓, ER Stress↑, Ca+2↑, ERK↓, MMP↑, Cyt‑c↑, Casp3↑, HK2↓, NRF2↓, HO-1↓, MMP2↓, MMP9↓, Fibronectin↓, GRP78/BiP↑, XBP-1↓, p‑eIF2α↑, *AST↓, ALAT↓, ALP↓, LDH↓, COX2↑, Bcl-xL↓, IL6↓, PGE2↓, iNOS↓, DNAdam↑, UPR↑, Hif1a↓, EMT↓, Twist↓, lipid-P↑, CLDN1↓, PDK1↓, IL10↓, TLR4↓, NOTCH1↑, PARP↑, Mcl-1↓, XIAP↓,
3238- EGCG,    Green tea catechin, epigallocatechin-3-gallate (EGCG): mechanisms, perspectives and clinical applications
- Review, Var, NA
Telomerase↓, DNMTs↓, cycD1/CCND1↓, cycE/CCNE↓, CDK2↓, CDK4↓, CDK6↓, HATs↓, HDAC↓, selectivity↑, uPA↓, NF-kB↓, TNF-α↓, *ROS↓, *antiOx↑, Hif1a↓, VEGF↓, MMP2↓, MMP9↓, FAK↓, TIMP2↑, Mcl-1↓, survivin↓, XIAP↓, PCNA↓, p16↑, P21↑, p27↑, pRB↑, P53↑, MDM2↑, ROS↑, Casp3↑, Casp8↑, Casp9↑, Cyt‑c↑, Diablo↑, BAX⇅, cl‑PPARα↓, PDGF↓, EGFR↓, FOXO↑, AP-1↓, JNK↓, COX2↓, angioG↓,

Showing Research Papers: 1 to 4 of 4

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 4

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress ⓘ

HO-1↓, 1,   lipid-P?, 1,   lipid-P↑, 1,   NRF2↓, 1,   ROS↑, 2,   SIRT3↑, 1,  

Metal & Cofactor Biology ⓘ

Tf↓, 1,  

Mitochondria & Bioenergetics ⓘ

MMP↑, 1,   XIAP↓, 2,  

Core Metabolism/Glycolysis ⓘ

ALAT↓, 1,   HK2↓, 1,   LDH↓, 1,   LDL↓, 1,   PDK1↓, 1,   PPARα↓, 3,   cl‑PPARα↓, 1,   SIRT1↑, 1,  

Cell Death ⓘ

Akt↓, 1,   mt-Apoptosis↑, 1,   BAX↑, 1,   BAX⇅, 1,   Bax:Bcl2↑, 1,   Bcl-2↓, 1,   Bcl-xL↓, 1,   Casp3↑, 4,   Casp6↑, 1,   Casp8↑, 2,   Casp9↑, 2,   Cyt‑c↑, 2,   Diablo↑, 1,   DR4↑, 1,   DR5↑, 1,   hTERT/TERT↓, 1,   iNOS↓, 1,   JNK↓, 1,   Mcl-1↓, 2,   MDM2↑, 1,   p27↑, 1,   survivin↓, 1,   Telomerase↓, 1,  

Transcription & Epigenetics ⓘ

HATs↓, 1,   pRB↑, 1,  

Protein Folding & ER Stress ⓘ

p‑eIF2α↑, 1,   ER Stress↑, 1,   GRP78/BiP↑, 1,   UPR↑, 1,   XBP-1↓, 1,  

DNA Damage & Repair ⓘ

DNAdam↑, 1,   DNMTs↓, 1,   p16↑, 1,   P53↑, 1,   PARP↑, 1,   cl‑PARP↑, 1,   PCNA↓, 1,  

Cell Cycle & Senescence ⓘ

CDK2↓, 2,   CDK4↓, 2,   cycD1/CCND1↓, 3,   cycE/CCNE↓, 2,   P21↑, 1,   p‑RB1↓, 1,  

Proliferation, Differentiation & Cell State ⓘ

EMT↓, 1,   ERK↓, 1,   p‑ERK↓, 1,   FOXO↑, 1,   HDAC↓, 2,   Let-7↑, 1,   mTOR↓, 1,   NOTCH1↑, 1,   STAT3↓, 2,   TOP1↓, 2,   TOP2↑, 1,   Wnt↓, 1,  

Migration ⓘ

AP-1↓, 1,   Ca+2↑, 1,   CLDN1↓, 1,   E-cadherin↑, 1,   FAK↓, 1,   Fibronectin↓, 1,   miR-200b↑, 1,   MMP-10↓, 1,   MMP1↓, 1,   MMP2↓, 3,   MMP3↓, 1,   MMP9↓, 3,   PDGF↓, 2,   Slug↓, 1,   Snail↓, 1,   TET1↑, 1,   TIMP2↑, 1,   TumCI↓, 1,   Twist↓, 1,   uPA↓, 1,   Vim↓, 1,   β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature ⓘ

angioG↓, 3,   EGFR↓, 2,   Hif1a↓, 2,   p‑PDGFR-BB↓, 1,   VEGF↓, 4,  

Immune & Inflammatory Signaling ⓘ

COX2↓, 2,   COX2↑, 1,   CXCR4↓, 1,   IKKα↓, 1,   IL10↓, 1,   IL1α↓, 1,   IL1β↓, 1,   IL6↓, 1,   MCP1↓, 1,   MIP2↓, 1,   NF-kB↓, 3,   PGE2↓, 1,   TLR4↓, 1,   TNF-α↓, 2,  

Synaptic & Neurotransmission ⓘ

5HT↓, 1,  

Hormonal & Nuclear Receptors ⓘ

AR↓, 1,   CDK6↓, 1,  

Drug Metabolism & Resistance ⓘ

BioAv↓, 1,   BioAv↑, 3,   ChemoSen↑, 1,   Dose↑, 1,   eff↑, 6,   Half-Life↓, 1,   selectivity↑, 2,  

Clinical Biomarkers ⓘ

ALAT↓, 1,   ALP↓, 1,   AR↓, 1,   ascitic↓, 1,   EGFR↓, 2,   hTERT/TERT↓, 1,   IL6↓, 1,   LDH↓, 1,  

Functional Outcomes ⓘ

AntiCan↑, 1,   cardioP↑, 1,   chemoPv↑, 1,   neuroP↑, 1,   RenoP↑, 1,   toxicity↓, 1,  
Total Targets: 137

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress ⓘ

antiOx↑, 1,   ROS↓, 1,  

Cell Death ⓘ

iNOS↓, 1,   MAPK↑, 1,  

Migration ⓘ

Ca+2↝, 1,  

Immune & Inflammatory Signaling ⓘ

COX2↓, 1,   Inflam↓, 1,   NF-kB↓, 2,   TNF-α↓, 1,  

Clinical Biomarkers ⓘ

AST↓, 1,  
Total Targets: 10

Scientific Paper Hit Count for: PPARα, Peroxisome Proliferator-Activated Receptor Alpha
1 Boswellia (frankincense)
1 Carvacrol
1 Chrysin
1 EGCG (Epigallocatechin Gallate)
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#:993  State#:%  Dir#:1
  wNotes=0  sortOrder:rid,rpid

 

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