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.
Scientific Papers found: Click to Expand⟱
4663- RES,    Exploring resveratrol’s inhibitory potential on lung cancer stem cells: a scoping review of mechanistic pathways across cancer models
- Review, Var, NA
*antiOx↑, *Inflam↓, *chemoPv↑, CSCs↓, Wnt↓, β-catenin/ZEB1↓, NOTCH↓, PI3K↓, Akt↓, mTOR↓, GSK‐3β↝, Snail↓, HH↓, p‑GSK‐3β↓, N-cadherin↓, EMT↓, CD133↓, CD44↓, ALDH1A1↓, OCT4↓, SOX4↓, Shh↓, Smo↓, Gli1↓, GLI2↓,
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/PTGS2↓, 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↓,
3081- RES,    Resveratrol and p53: How are they involved in CRC plasticity and apoptosis?
- Review, CRC, NA
NF-kB↓, FAK↓, Ki-67↓, MMP9↓, CSCs↓, CD44↓, CD133↓, ALDH1A1↓, EMT↓, ChemoSen↑, Hif1a↓, ITGB1↓, Inflam↓,
4996- Sal,    The Molecular Basis for Inhibition of Stemlike Cancer Cells by Salinomycin
CSCs↓, selectivity↑, Wnt↓, ERStress↑, Ca+2↓, UPR↑, CHOP/DDIT3↑, β-catenin/ZEB1↓, CD44↓, CD24↓, PKCδ↑,
4995- Sal,    Salinomycin possesses anti-tumor activity and inhibits breast cancer stem-like cells via an apoptosis-independent pathway
- vitro+vivo, BC, MDA-MB-231
ALDH↓, Nanog↓, OCT4↓, SOX2↓, CSCs↓, tumCV↓, cycD1/CCND1↓, P21↑, TumCG↓, CD44↓, Apoptosis∅,
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↓,
5036- SAS,    Targeting xCT with sulfasalazine suppresses triple-negative breast cancer growth via inducing autophagy and coordinating cell cycle and proliferation
- vitro+vivo, BC, MDA-MB-231 - in-vitro, BC, MDA-MB-468
xCT/SLC7A11↓, GSH↓, OS↑, Myc↓, CDK1↓, CD44↓, eff↑, TumCG↓,
1458- SFN,    Sulforaphane Impact on Reactive Oxygen Species (ROS) in Bladder Carcinoma
- Review, Bladder, NA
HDAC↓, eff↓, TumW↓, TumW↓, angioG↓, *toxicity↓, GutMicro↝, AntiCan↑, ROS↑, MMP↓, Cyt‑c↑, Bax:Bcl2↑, Casp3↑, Casp9↑, Casp8∅, cl‑PARP↑, TRAIL↑, DR5↑, eff↓, NRF2↑, ER Stress↑, COX2/PTGS2↓, EGFR↓, HER2/EBBR2↓, ChemoSen↑, NF-kB↓, TumCCA?, p‑Akt↓, p‑mTOR↓, p70S6↓, p19↑, P21↑, CD44↓, CSCs↓,
1508- SFN,    Nrf2 targeting by sulforaphane: A potential therapy for cancer treatment
- Review, Var, NA
*BioAv↑, HDAC↓, TumCCA↓, eff↓, Wnt↓, β-catenin/ZEB1↓, Casp12?, Bcl-2↓, cl‑PARP↑, Bax:Bcl2↑, IAP1↓, Casp3↑, Casp9↑, Telomerase↓, hTERT/TERT↓, ROS?, DNMTs↓, angioG↓, VEGF↓, Hif1a↓, cMYB↓, MMP1↓, MMP2↓, MMP9↓, ERK↑, E-cadherin↑, CD44↓, MMP2↓, eff↑, IL2↑, IFN-γ↑, IL1β↓, IL6↓, TNF-α↓, NF-kB↓, ERK↓, NRF2↑, RadioS↑, ChemoSideEff↓,
1730- SFN,    Sulforaphane: An emergent anti-cancer stem cell agent
- Review, Var, NA
BioAv↓, BioAv↑, GSTA1↑, P450↓, TumCCA↑, HDAC↓, P21↑, p27/CDKN1B↑, DNMT1↓, DNMT3A↓, cycD1/CCND1↑, DNAdam↑, BAX↑, Cyt‑c↑, Apoptosis↑, ROS↑, AIF↑, CDK1↑, Casp3↑, Casp8↑, Casp9↑, NRF2↑, NF-kB↓, TNF-α↓, IL1β↓, CSCs↓, CD133↓, CD44↓, ALDH↓, Nanog↓, OCT4↓, hTERT/TERT↓, MMP2↓, EMT↓, ALDH1A1↓, Wnt↓, NOTCH↓, ChemoSen↑, *Ki-67↓, *HDAC3↓, *HDAC↓,
1726- SFN,    Sulforaphane: A Broccoli Bioactive Phytocompound with Cancer Preventive Potential
- Review, Var, NA
Dose↝, eff↝, IL1β↓, IL6↓, IL12↓, TNF-α↓, COX2/PTGS2↓, CXCR4↓, MPO↓, HSP70/HSPA5↓, HSP90↓, VCAM-1↓, IKKα↓, NF-kB↓, HO-1↑, Casp3↑, Casp7↑, Casp8↑, Casp9↑, cl‑PARP↑, Cyt‑c↑, Diablo↑, CHOP/DDIT3↑, survivin↓, XIAP↓, p38↑, Fas↑, PUMA↑, VEGF↓, Hif1a↓, Twist↓, Zeb1↓, Vim↓, MMP2↓, MMP9↓, E-cadherin↑, N-cadherin↓, Snail↓, CD44↓, cycD1/CCND1↓, cycA1/CCNA1↓, CycB/CCNB1↓, cycE/CCNE↓, CDK4↓, CDK6↓, p50↓, P53↑, P21↑, GSH↑, SOD↑, GSTs↑, mTOR↓, Akt↓, PI3K↓, β-catenin/ZEB1↓, IGF-1↓, cMyc↓, CSCs↓,
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/CDKN1B↑, COX2/PTGS2↓, 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↓,
5337- TFdiG,    Theaflavin 3,3'-digallate suppresses metastasis and reduces insulin-like growth factor-1-induced cancer stemness and invasiveness in human melanoma cells
- in-vitro, Melanoma, A375 - in-vitro, Melanoma, A2058
TumCMig↓, TumCI↓, MMPs↓, ALDH↓, CSCs↓, ABCG2↓, CD44↓, CXCR4↓, TumCG↓, angioG↓, TumMeta↓,

Showing Research Papers: 51 to 63 of 63
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* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 63

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

GSH↓, 1,   GSH↑, 1,   GSTA1↑, 1,   GSTs↑, 1,   HO-1↑, 1,   MPO↓, 1,   NRF2↑, 3,   ROS?, 1,   ROS↓, 1,   ROS↑, 3,   SOD↑, 1,   xCT/SLC7A11↓, 1,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

AIF↑, 1,   ATP↓, 1,   MMP↓, 3,   XIAP↓, 1,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

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

Cell Death(tgid=5) ⓘ

Akt↓, 3,   p‑Akt↓, 1,   Apoptosis↑, 1,   Apoptosis∅, 1,   BAX↑, 1,   Bax:Bcl2↑, 2,   Bcl-2↓, 1,   Casp↑, 1,   Casp12?, 1,   Casp3↑, 4,   Casp7↑, 1,   Casp8↑, 2,   Casp8∅, 1,   Casp9↑, 4,   Cyt‑c↑, 4,   Diablo↑, 1,   DR5↑, 1,   Fas↑, 1,   hTERT/TERT↓, 2,   IAP1↓, 1,   Myc↓, 1,   p27/CDKN1B↑, 2,   p38↑, 1,   PUMA↑, 1,   survivin↓, 1,   Telomerase↓, 2,   TRAIL↑, 1,  

Kinase & Signal Transduction(tgid=6) ⓘ

HER2/EBBR2↓, 1,   p70S6↓, 1,  

Transcription & Epigenetics(tgid=7) ⓘ

HATs↑, 1,   tumCV↓, 1,  

Protein Folding & ER Stress(tgid=8) ⓘ

CHOP/DDIT3↑, 2,   ER Stress↑, 1,   ERStress↑, 1,   HSP70/HSPA5↓, 1,   HSP90↓, 1,   UPR↑, 1,  

DNA Damage & Repair(tgid=10) ⓘ

DNAdam↑, 2,   DNMT1↓, 1,   DNMT3A↓, 1,   DNMTs↓, 1,   P53↑, 1,   cl‑PARP↑, 3,   TP53↑, 1,  

Cell Cycle & Senescence(tgid=11) ⓘ

CDK1↓, 1,   CDK1↑, 1,   CDK4↓, 2,   cycA1/CCNA1↓, 1,   CycB/CCNB1↓, 1,   cycD1/CCND1↓, 2,   cycD1/CCND1↑, 1,   cycE/CCNE↓, 1,   p19↑, 1,   P21↑, 6,   TumCCA?, 1,   TumCCA↓, 1,   TumCCA↑, 2,  

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

ALDH↓, 4,   ALDH1A1↓, 3,   CD133↓, 3,   CD24↓, 2,   CD44↓, 13,   cMYB↓, 1,   CSCs↓, 10,   Diff↑, 1,   EMT↓, 5,   ERK↓, 2,   ERK↑, 1,   Gli1↓, 1,   GSK‐3β↝, 1,   p‑GSK‐3β↓, 1,   HDAC↓, 4,   HH↓, 1,   IGF-1↓, 1,   IGFBP3↑, 1,   mTOR↓, 2,   p‑mTOR↓, 1,   Nanog↓, 3,   Nestin↓, 1,   NOTCH↓, 3,   OCT4↓, 3,   PI3K↓, 2,   PTEN↑, 1,   Shh↓, 2,   Smo↓, 1,   SOX2↓, 1,   STAT3↓, 2,   TCF↓, 1,   TOP2↓, 1,   TumCG↓, 5,   Wnt↓, 6,  

Migration(tgid=13) ⓘ

CA↓, 1,   Ca+2↓, 1,   Ca+2↑, 1,   E-cadherin↑, 4,   FAK↓, 2,   GLI2↓, 1,   ITGB1↓, 1,   Ki-67↓, 1,   MALAT1↓, 1,   miR-203↑, 1,   MMP1↓, 1,   MMP2↓, 5,   MMP7↓, 1,   MMP9↓, 4,   MMPs↓, 1,   N-cadherin↓, 2,   PDGF↓, 1,   PKCδ↑, 1,   Slug↓, 1,   Snail↓, 2,   SOX4↓, 1,   TGF-β↓, 1,   TumCI↓, 1,   TumCMig↓, 2,   TumMeta↓, 1,   Twist↓, 1,   uPA↓, 1,   VCAM-1↓, 1,   Vim↓, 3,   Zeb1↓, 2,   β-catenin/ZEB1↓, 5,  

Angiogenesis & Vasculature(tgid=14) ⓘ

angioG↓, 4,   EGFR↓, 2,   Hif1a↓, 5,   VEGF↓, 6,  

Barriers & Transport(tgid=15) ⓘ

NHE1↓, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

COX2/PTGS2↓, 4,   CXCR4↓, 3,   IFN-γ↑, 1,   IKKα↓, 1,   IL1↓, 1,   IL12↓, 1,   IL1β↓, 3,   IL2↑, 1,   IL6↓, 3,   Inflam↓, 1,   NF-kB↓, 7,   p50↓, 1,   PD-L1↓, 1,   PGE2↓, 1,   PSA↓, 1,   TNF-α↓, 3,  

Hormonal & Nuclear Receptors(tgid=20) ⓘ

AR↓, 1,   CDK6↓, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

ABCG2↓, 1,   BioAv↓, 4,   BioAv↑, 1,   ChemoSen↑, 3,   ChemoSen⇅, 1,   Dose↝, 2,   eff↓, 3,   eff↑, 3,   eff↝, 2,   Half-Life↓, 1,   Half-Life↝, 1,   MDR1↓, 1,   P450↓, 2,   RadioS↑, 2,   selectivity↑, 3,  

Clinical Biomarkers(tgid=22) ⓘ

AR↓, 1,   EGFR↓, 2,   GutMicro↝, 1,   HER2/EBBR2↓, 1,   hTERT/TERT↓, 2,   IL6↓, 3,   Ki-67↓, 1,   Myc↓, 1,   PD-L1↓, 1,   PSA↓, 1,   TP53↑, 1,  

Functional Outcomes(tgid=23) ⓘ

AntiCan↑, 2,   cardioP↑, 2,   chemoP↑, 1,   ChemoSideEff↓, 1,   hepatoP↑, 1,   OS↑, 1,   toxicity↝, 1,   toxicity∅, 1,   TumVol↓, 1,   TumW↓, 2,  
Total Targets: 203

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

antiOx↑, 2,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

SIRT1↑, 2,  

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

HDAC↓, 1,   HDAC3↓, 1,  

Migration(tgid=13) ⓘ

Ki-67↓, 1,   TIMP1↓, 1,  

Angiogenesis & Vasculature(tgid=14) ⓘ

angioG↑, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

IL8↓, 1,   Inflam↓, 2,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↓, 1,   BioAv↑, 1,  

Clinical Biomarkers(tgid=22) ⓘ

Ki-67↓, 1,  

Functional Outcomes(tgid=23) ⓘ

chemoPv↑, 1,   memory↑, 1,   neuroP↑, 1,   toxicity↓, 1,  
Total Targets: 16

Scientific Paper Hit Count for: CD44, CD44
8 EGCG (Epigallocatechin Gallate)
6 Curcumin
6 Resveratrol
6 Sulforaphane (mainly Broccoli)
4 Quercetin
3 Eugenol
3 Phenethyl isothiocyanate
3 Pterostilbene
3 salinomycin
2 Ashwagandha(Withaferin A)
2 Bromelain
2 Fisetin
2 Genistein (soy isoflavone)
2 HydroxyTyrosol
1 Astragalus
1 Silver-NanoParticles
1 Alpha-Lipoic-Acid
1 Apigenin (mainly Parsley)
1 Artemisinin
1 Atorvastatin
1 Berberine
1 Bufalin/Huachansu
1 Carvacrol
1 Centella asiatica / Gotu kola → asiaticoside
1 Chlorogenic acid
1 Cucurbitacin
1 Electrical Pulses
1 Honokiol
1 Magnetic Fields
1 Phenylbutyrate
1 immunotherapy
1 isoflavones
1 Sulfasalazine
1 Silymarin (Milk Thistle) silibinin
1 Aflavin-3,3′-digallate
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#:48  State#:%  Dir#:%
  wNotes=0  sortOrder:rid,rpid

 

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