PPARγ Cancer Research Results

PPARγ, Peroxisome proliferator-activated receptor gamma (PPAR-γ or PPARG): Click to Expand ⟱
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Peroxisome proliferator-activated receptor gamma (PPAR-γ) is a type of nuclear receptor that plays a crucial role in regulating various biological processes, including glucose metabolism, lipid metabolism, and inflammation. It is primarily expressed in adipose tissue, but it is also found in other tissues, including the colon, breast, and prostate.
PPAR-γ has been shown to have both tumor-suppressive and tumor-promoting effects, depending on the type of cancer and the context. In some cancers, activation of PPAR-γ can inhibit cell proliferation and induce apoptosis, while in others, it may promote tumor growth.
PPARγ
– Plays a central role in adipogenesis, lipid storage, and insulin sensitivity.
– Widely expressed in adipose tissue, but also present in colon, breast, and immune cells.
– In addition to metabolic functions, PPARγ regulates cell differentiation, apoptosis, and has anti-inflammatory effects.
– Ligand binding (such as endogenous fatty acids or synthetic agonists like thiazolidinediones) alters transcriptional programs impacting cell cycle and survival.

– In many cases, PPARγ is expressed in tumor cells, and its activation has been linked to induction of differentiation and growth arrest.
– However, expression levels can differ based on tumor subtype, with some studies reporting elevated levels while others note reductions in aggressive tumors.
– Crosstalk with other signaling pathways (e.g., Wnt/β-catenin, MAPK) can alter PPARγ's net effect in cancer cells.
Scientific Papers found: Click to Expand⟱
3166- Ash,    Exploring the Multifaceted Therapeutic Potential of Withaferin A and Its Derivatives
- Review, Var, NA
*p‑PPARγ↓, *cardioP↑, *AMPK↑, *BioAv↝, *Half-Life↝, *Half-Life↝, *Dose↑, *chemoPv↑, IL6↓, STAT3↓, ROS↓, OXPHOS↓, PCNA↓, LDH↓, AMPK↑, TumCCA↑, NOTCH3↓, Akt↓, Bcl-2↓, Casp3↑, Apoptosis↑, eff↑, NF-kB↓, CSCs↓, HSP90↓, PI3K↓, FOXO3↑, β-catenin/ZEB1↓, N-cadherin↓, EMT↓, FASN↓, ACLY↓, ROS↑, NRF2↑, HO-1↑, NQO1↑, JNK↑, mTOR↓, neuroP↑, *TNF-α↓, *IL1β↓, *IL6↓, *IL8↓, *IL18↓, RadioS↑, eff↑,
2617- Ba,    Potential of baicalein in the prevention and treatment of cancer: A scientometric analyses based review
- Review, Var, NA
Ca+2↑, MMP2↓, MMP9↓, Vim↓, Snail↓, E-cadherin↑, Wnt↓, β-catenin/ZEB1↓, p‑Akt↓, p‑mTOR↓, NF-kB↓, i-ROS↑, Bcl-2↓, BAX↑, Cyt‑c↑, Casp3↑, Casp9↑, STAT3↓, IL6↓, MMP2↓, MMP9↓, NOTCH↓, PPARγ↓, p‑NRF2↓, HK2↓, LDHA↓, PDK1↓, Glycolysis↓, PTEN↑, Akt↓, Hif1a↓, MMP↓, VEGF↓, VEGFR2↓, TOP2↓, uPA↓, TIMP1↓, TIMP2↓, cMyc↓, TrxR↓, ASK1↑, Vim↓, ZO-1↑, E-cadherin↑, SOX2↓, OCT4↓, Shh↓, Smo↓, Gli1↓, N-cadherin↓, XIAP↓,
2695- BBR,    The effects of Berberis vulgaris consumption on plasma levels of IGF-1, IGFBPs, PPAR-γ and the expression of angiogenic genes in women with benign breast disease: a randomized controlled clinical trial
- Trial, BC, NA
IGF-1↓, PPARγ↓, VEGF↓, Hif1a↓, angioG↓,
3521- Bor,    A new hope for obesity management: Boron inhibits adipogenesis in progenitor cells through the Wnt/β-catenin pathway
- in-vitro, Obesity, 3T3
*CEBPA↓, *PPARγ↓, *FASN↓, *SREBP1↓, *FABP4↓, *GLUT4↓, *β-catenin/ZEB1↑, *MMP2↓, *FGF↑, *Ca+2?,
5742- Buty,    Butyrate: A Double-Edged Sword for Health?
- Review, Var, NA
HCAR2↑, Inflam↓, HDAC↓, *IFN-γ↓, *TNF-α↓, *IL1β↓, *IL6↓, *IL8↓, *IL10↑, *TNF-β↑, *NF-kB↓, *ROS↓, PPARγ↓, Weight↓,
5819- CBD,    The potential role of cannabidiol (CBD) in lung cancer therapy: a systematic review of preclinical and clinical evidence
- Review, Lung, NA
Apoptosis↑, PPARγ↓, mtDam↑, ROS↑, EMT↓, CD8+↑, NK cell↑, ChemoSen↑, ATP↓, glucose↓, Ca+2↑, TRPV2↑,
4302- Gins,    Panax ginseng: A modulator of amyloid, tau pathology, and cognitive function in Alzheimer's disease
- Review, AD, NA
*neuroP↑, *Aβ↓, *p‑tau↓, *cognitive↑, *eff↑, *PKA↑, *CREB↑, *BACE↓, *ADAM10↑, *MAPK↑, *ERK↑, *PI3K↑, *Akt↑, *NRF2↑, *PPARγ↓, *IDE↑, *APP↓, *PP2A↑, *memory↑,
4780- Lyco,    Potential inhibitory effect of lycopene on prostate cancer
- Review, Pca, NA
TumCP↓, TumCCA↑, Apoptosis↑, *neuroP↑, *NF-kB↓, *JNK↓, *NRF2↑, *BDNF↑, *Ca+2↝, *antiOx↑, *AntiCan↑, *Inflam↓, *IL1↓, *IL6↓, *IL8↓, *TNF-α↓, NF-kB↓, DNAdam↓, PSA↓, P53↓, cycD1/CCND1↓, NRF2↓, Akt2↓, PPARγ↓,
4528- MAG,    Pharmacology, Toxicity, Bioavailability, and Formulation of Magnolol: An Update
- Review, Nor, NA
*Inflam↑, *cardioP↑, *angioG↓, *antiOx↑, *neuroP↑, *Bacteria↓, AntiTum↑, TumCG↓, TumCMig↓, TumCI↓, Apoptosis↑, E-cadherin↑, NF-kB↓, TumCCA↑, cycD1/CCND1↓, PCNA↓, Ki-67↓, MMP2↓, MMP7↓, MMP9↓, TumCG↓, Casp3↑, NF-kB↓, Akt↓, mTOR↓, LDH↓, Ca+2↑, eff↑, *toxicity↓, *BioAv↝, *PGE2↓, *TLR2↓, *TLR4↓, *MAPK↓, *PPARγ↓,
218- MFrot,  MF,    Extremely low frequency magnetic fields inhibit adipogenesis of human mesenchymal stem cells
- in-vitro, Nor, NA
*PPARγ↓, *p‑JNK↑, *Wnt↑, *ALP∅, *COL1∅, *RUNX2∅, *OCN∅, *FABP4↓, *p‑JNK↑, *Diff↓,
4499- Se,    Selenium and Selenoproteins in Gut Inflammation—A Review
- Review, IBD, NA
*Inflam↓, *IL2↓, *TNF-α↓, *IFN-γ↓, *PPARγ↓,
2102- TQ,    A review on therapeutic potential of Nigella sativa: A miracle herb
- Review, Var, NA
angioG↓, NF-kB↓, PPARγ↓, Bcl-2↓, Bcl-xL↓, MUC4↓, cJun↑, p38↑, P21↑, HDAC↓, *radioP↑, hepatoP↑,
3422- TQ,    Thymoquinone, as a Novel Therapeutic Candidate of Cancers
- Review, Var, NA
selectivity↑, P53↑, PTEN↑, NF-kB↓, PPARγ↓, cMyc↓, Casp↑, *BioAv↓, BioAv↝, eff↑, survivin↓, Bcl-xL↓, Bcl-2↓, Akt↓, BAX↑, cl‑PARP↑, CXCR4↓, MMP9↓, VEGFR2↓, Ki-67↓, COX2↓, JAK2↓, cSrc↓, Apoptosis↑, p‑STAT3↓, cycD1/CCND1↓, Casp3↑, Casp7↑, Casp9↑, N-cadherin↓, Vim↓, Twist↓, E-cadherin↑, ChemoSen↑, eff↑, EMT↓, ROS↑, DNMT1↓, eff↑, EZH2↓, hepatoP↑, Zeb1↓, RadioS↑, HDAC↓, HDAC1↓, HDAC2↓, HDAC3↓, *NAD↑, *SIRT1↑, SIRT1↓, *Inflam↓, *CRP↓, *TNF-α↓, *IL6↓, *IL1β↓, *eff↑, *MDA↓, *NO↓, *GSH↑, *SOD↑, *Catalase↑, *GPx↑, PI3K↓, mTOR↓,

Showing Research Papers: 1 to 13 of 13

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 13

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress ⓘ

HO-1↑, 1,   NQO1↑, 1,   NRF2↓, 1,   NRF2↑, 1,   p‑NRF2↓, 1,   OXPHOS↓, 1,   ROS↓, 1,   ROS↑, 3,   i-ROS↑, 1,   TrxR↓, 1,  

Mitochondria & Bioenergetics ⓘ

ATP↓, 1,   MMP↓, 1,   mtDam↑, 1,   XIAP↓, 1,  

Core Metabolism/Glycolysis ⓘ

ACLY↓, 1,   AMPK↑, 1,   cMyc↓, 2,   FASN↓, 1,   glucose↓, 1,   Glycolysis↓, 1,   HK2↓, 1,   LDH↓, 2,   LDHA↓, 1,   PDK1↓, 1,   PPARγ↓, 7,   SIRT1↓, 1,  

Cell Death ⓘ

Akt↓, 4,   p‑Akt↓, 1,   Apoptosis↑, 5,   ASK1↑, 1,   BAX↑, 2,   Bcl-2↓, 4,   Bcl-xL↓, 2,   Casp↑, 1,   Casp3↑, 4,   Casp7↑, 1,   Casp9↑, 2,   Cyt‑c↑, 1,   JNK↑, 1,   p38↑, 1,   survivin↓, 1,  

Kinase & Signal Transduction ⓘ

cSrc↓, 1,   HCAR2↑, 1,   TRPV2↑, 1,  

Transcription & Epigenetics ⓘ

cJun↑, 1,   EZH2↓, 1,  

Protein Folding & ER Stress ⓘ

HSP90↓, 1,  

DNA Damage & Repair ⓘ

DNAdam↓, 1,   DNMT1↓, 1,   P53↓, 1,   P53↑, 1,   cl‑PARP↑, 1,   PCNA↓, 2,  

Cell Cycle & Senescence ⓘ

cycD1/CCND1↓, 3,   P21↑, 1,   TumCCA↑, 3,  

Proliferation, Differentiation & Cell State ⓘ

CSCs↓, 1,   EMT↓, 3,   FOXO3↑, 1,   Gli1↓, 1,   HDAC↓, 3,   HDAC1↓, 1,   HDAC2↓, 1,   HDAC3↓, 1,   IGF-1↓, 1,   mTOR↓, 3,   p‑mTOR↓, 1,   NOTCH↓, 1,   NOTCH3↓, 1,   OCT4↓, 1,   PI3K↓, 2,   PTEN↑, 2,   Shh↓, 1,   Smo↓, 1,   SOX2↓, 1,   STAT3↓, 2,   p‑STAT3↓, 1,   TOP2↓, 1,   TumCG↓, 2,   Wnt↓, 1,  

Migration ⓘ

Akt2↓, 1,   Ca+2↑, 3,   E-cadherin↑, 4,   Ki-67↓, 2,   MMP2↓, 3,   MMP7↓, 1,   MMP9↓, 4,   MUC4↓, 1,   N-cadherin↓, 3,   Snail↓, 1,   TIMP1↓, 1,   TIMP2↓, 1,   TumCI↓, 1,   TumCMig↓, 1,   TumCP↓, 1,   Twist↓, 1,   uPA↓, 1,   Vim↓, 3,   Zeb1↓, 1,   ZO-1↑, 1,   β-catenin/ZEB1↓, 2,  

Angiogenesis & Vasculature ⓘ

angioG↓, 2,   Hif1a↓, 2,   VEGF↓, 2,   VEGFR2↓, 2,  

Immune & Inflammatory Signaling ⓘ

COX2↓, 1,   CXCR4↓, 1,   HCAR2↑, 1,   IL6↓, 2,   Inflam↓, 1,   JAK2↓, 1,   NF-kB↓, 7,   NK cell↑, 1,   PSA↓, 1,  

Drug Metabolism & Resistance ⓘ

BioAv↝, 1,   ChemoSen↑, 2,   eff↑, 6,   RadioS↑, 2,   selectivity↑, 1,  

Clinical Biomarkers ⓘ

EZH2↓, 1,   IL6↓, 2,   Ki-67↓, 2,   LDH↓, 2,   PSA↓, 1,  

Functional Outcomes ⓘ

AntiTum↑, 1,   hepatoP↑, 2,   neuroP↑, 1,   Weight↓, 1,  

Infection & Microbiome ⓘ

CD8+↑, 1,  
Total Targets: 129

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress ⓘ

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

Core Metabolism/Glycolysis ⓘ

AMPK↑, 1,   CREB↑, 1,   FABP4↓, 2,   FASN↓, 1,   NAD↑, 1,   PPARγ↓, 5,   p‑PPARγ↓, 1,   SIRT1↑, 1,   SREBP1↓, 1,  

Cell Death ⓘ

Akt↑, 1,   JNK↓, 1,   p‑JNK↑, 2,   MAPK↓, 1,   MAPK↑, 1,  

Kinase & Signal Transduction ⓘ

OCN∅, 1,  

Proliferation, Differentiation & Cell State ⓘ

CEBPA↓, 1,   Diff↓, 1,   ERK↑, 1,   FGF↑, 1,   PI3K↑, 1,   RUNX2∅, 1,   Wnt↑, 1,  

Migration ⓘ

APP↓, 1,   Ca+2?, 1,   Ca+2↝, 1,   COL1∅, 1,   MMP2↓, 1,   PKA↑, 1,   β-catenin/ZEB1↑, 1,  

Angiogenesis & Vasculature ⓘ

angioG↓, 1,   NO↓, 1,  

Barriers & Transport ⓘ

GLUT4↓, 1,  

Immune & Inflammatory Signaling ⓘ

CRP↓, 1,   IFN-γ↓, 2,   IL1↓, 1,   IL10↑, 1,   IL18↓, 1,   IL1β↓, 3,   IL2↓, 1,   IL6↓, 4,   IL8↓, 3,   Inflam↓, 3,   Inflam↑, 1,   NF-kB↓, 2,   PGE2↓, 1,   TLR2↓, 1,   TLR4↓, 1,   TNF-α↓, 5,   TNF-β↑, 1,  

Synaptic & Neurotransmission ⓘ

ADAM10↑, 1,   BDNF↑, 1,   p‑tau↓, 1,  

Protein Aggregation ⓘ

Aβ↓, 1,   BACE↓, 1,   IDE↑, 1,   PP2A↑, 1,  

Drug Metabolism & Resistance ⓘ

BioAv↓, 1,   BioAv↝, 2,   Dose↑, 1,   eff↑, 2,   Half-Life↝, 2,  

Clinical Biomarkers ⓘ

ALP∅, 1,   CRP↓, 1,   IL6↓, 4,  

Functional Outcomes ⓘ

AntiCan↑, 1,   cardioP↑, 2,   chemoPv↑, 1,   cognitive↑, 1,   memory↑, 1,   neuroP↑, 3,   radioP↑, 1,   toxicity↓, 1,  

Infection & Microbiome ⓘ

Bacteria↓, 1,  
Total Targets: 81

Scientific Paper Hit Count for: PPARγ, Peroxisome proliferator-activated receptor gamma (PPAR-γ or PPARG)
2 Thymoquinone
1 Ashwagandha(Withaferin A)
1 Baicalein
1 Berberine
1 Boron
1 Butyrate
1 Cannabidiol
1 Ginseng
1 Lycopene
1 Magnolol
1 Magnetic Field Rotating
1 Magnetic Fields
1 Selenium
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#:259  State#:%  Dir#:1
  wNotes=0  sortOrder:rid,rpid

 

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