CD44 Cancer Research Results

CD44, CD44: Click to Expand ⟱
Source:
Type:
CD44 represents a common biomarker of cancer stem cells, and promotes epithelial-mesenchymal transition. CD44 is a well-known marker of CSCs and plays important roles in tumor initiation and development.


NA, Not Available: Click to Expand ⟱
none (reserved)

Scientific Papers found: Click to Expand⟱
2687- RES,    Effects of resveratrol, curcumin, berberine and other nutraceuticals on aging, cancer development, cancer stem cells and microRNAs
- Review, NA, NA - Review, AD, NA
NF-kB↓, P450↓, COX2↓, Hif1a↓, VEGF↓, *SIRT1↑, SIRT1↓, SIRT2↓, ChemoSen⇅, cardioP↑, *memory↑, *angioG↑, *neuroP↑, STAT3↓, CSCs↓, RadioS↑, Nestin↓, Nanog↓, TP53↑, P21↑, CXCR4↓, *BioAv↓, EMT↓, Vim↓, Slug↓, E-cadherin↑, AMPK↑, MDR1↓, DNAdam↑, TOP2↓, PTEN↑, Akt↓, Wnt↓, β-catenin/ZEB1↓, cMyc↓, MMP7↓, MALAT1↓, TCF↓, ALDH↓, CD44↓, Shh↓, IL6↓, VEGF↓, eff↑, HK2↓, ROS↑, MMP↓,
5122- Sal,    Identification of selective inhibitors of cancer stem cells by high-throughput screening
- in-vivo, BC, SUM159 - NA, NA, 4T1
CSCs↓, TumCG↓, Diff↑, selectivity↑, CD44↓, CD24↓, TumVol↓,
3282- SIL,    Role of Silymarin in Cancer Treatment: Facts, Hypotheses, and Questions
- Review, NA, NA
hepatoP↑, AntiCan↑, TumCMig↓, Hif1a↓, selectivity↑, toxicity∅, *antiOx↑, *Inflam↓, TumCCA↑, P21↑, CDK4↓, NF-kB↓, ERK↓, PSA↓, TumCG↓, p27↑, COX2↓, IL1↓, VEGF↓, IGFBP3↑, AR↓, STAT3↓, Telomerase↓, Cyt‑c↑, Casp↑, eff↝, HDAC↓, HATs↑, Zeb1↓, E-cadherin↑, miR-203↑, NHE1↓, MMP2↓, MMP9↓, PGE2↓, Vim↓, Wnt↓, angioG↓, VEGF↓, *TIMP1↓, EMT↓, TGF-β↓, CD44↓, EGFR↓, PDGF↓, *IL8↓, SREBP1↓, MMP↓, ATP↓, uPA↓, PD-L1↓, NOTCH↓, *SIRT1↑, SIRT1↓, CA↓, Ca+2↑, chemoP↑, cardioP↑, Dose↝, Half-Life↝, BioAv↓, BioAv↓, BioAv↓, toxicity↝, Half-Life↓, ROS↓, FAK↓,

Showing Research Papers: 1 to 3 of 3

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 3

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress

ROS↓, 1,   ROS↑, 1,  

Mitochondria & Bioenergetics

ATP↓, 1,   MMP↓, 2,  

Core Metabolism/Glycolysis

AMPK↑, 1,   cMyc↓, 1,   HK2↓, 1,   SIRT1↓, 2,   SIRT2↓, 1,   SREBP1↓, 1,  

Cell Death

Akt↓, 1,   Casp↑, 1,   Cyt‑c↑, 1,   p27↑, 1,   Telomerase↓, 1,  

Transcription & Epigenetics

HATs↑, 1,  

DNA Damage & Repair

DNAdam↑, 1,   TP53↑, 1,  

Cell Cycle & Senescence

CDK4↓, 1,   P21↑, 2,   TumCCA↑, 1,  

Proliferation, Differentiation & Cell State

ALDH↓, 1,   CD24↓, 1,   CD44↓, 3,   CSCs↓, 2,   Diff↑, 1,   EMT↓, 2,   ERK↓, 1,   HDAC↓, 1,   IGFBP3↑, 1,   Nanog↓, 1,   Nestin↓, 1,   NOTCH↓, 1,   PTEN↑, 1,   Shh↓, 1,   STAT3↓, 2,   TCF↓, 1,   TOP2↓, 1,   TumCG↓, 2,   Wnt↓, 2,  

Migration

CA↓, 1,   Ca+2↑, 1,   E-cadherin↑, 2,   FAK↓, 1,   MALAT1↓, 1,   miR-203↑, 1,   MMP2↓, 1,   MMP7↓, 1,   MMP9↓, 1,   PDGF↓, 1,   Slug↓, 1,   TGF-β↓, 1,   TumCMig↓, 1,   uPA↓, 1,   Vim↓, 2,   Zeb1↓, 1,   β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature

angioG↓, 1,   EGFR↓, 1,   Hif1a↓, 2,   VEGF↓, 4,  

Barriers & Transport

NHE1↓, 1,  

Immune & Inflammatory Signaling

COX2↓, 2,   CXCR4↓, 1,   IL1↓, 1,   IL6↓, 1,   NF-kB↓, 2,   PD-L1↓, 1,   PGE2↓, 1,   PSA↓, 1,  

Hormonal & Nuclear Receptors

AR↓, 1,  

Drug Metabolism & Resistance

BioAv↓, 3,   ChemoSen⇅, 1,   Dose↝, 1,   eff↑, 1,   eff↝, 1,   Half-Life↓, 1,   Half-Life↝, 1,   MDR1↓, 1,   P450↓, 1,   RadioS↑, 1,   selectivity↑, 2,  

Clinical Biomarkers

AR↓, 1,   EGFR↓, 1,   IL6↓, 1,   PD-L1↓, 1,   PSA↓, 1,   TP53↑, 1,  

Functional Outcomes

AntiCan↑, 1,   cardioP↑, 2,   chemoP↑, 1,   hepatoP↑, 1,   toxicity↝, 1,   toxicity∅, 1,   TumVol↓, 1,  
Total Targets: 95

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress

antiOx↑, 1,  

Core Metabolism/Glycolysis

SIRT1↑, 2,  

Migration

TIMP1↓, 1,  

Angiogenesis & Vasculature

angioG↑, 1,  

Immune & Inflammatory Signaling

IL8↓, 1,   Inflam↓, 1,  

Drug Metabolism & Resistance

BioAv↓, 1,  

Functional Outcomes

memory↑, 1,   neuroP↑, 1,  
Total Targets: 9

Scientific Paper Hit Count for: CD44, CD44
1 Resveratrol
1 salinomycin
1 Silymarin (Milk Thistle) silibinin
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:0  Cells:%  prod#:%  Target#:48  State#:%  Dir#:1
wNotes=0 sortOrder:rid,rpid

 

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