Slug Cancer Research Results

Slug, SNAI2/transcription factor Slug: Click to Expand ⟱
Source:
Type:
Slug is well known to promote tumor progression and metastasis through the epithelial-mesenchymal transition (EMT), causing loss of cell adhesion and polarity while conferring migratory and invasive properties.
Slug/SNAI2: A transcription factor that belongs to the Snail family. It is best known for its role in regulating epithelial-to-mesenchymal transition (EMT).
Expression: Upregulation of Slug in cancers is often associated with the induction of EMT. This causes cells to lose epithelial markers (like E-cadherin) and gain mesenchymal markers, leading to increased invasiveness.
Metastatic Spread: By promoting EMT, high levels of Slug facilitate tumor cell dissemination and metastasis.
Cancer Stem Cells: There is evidence suggesting that EMT, spurred by factors like Slug, can increase the proportion of cancer stem cells (CSCs). These CSCs are thought to be key players in tumor recurrence and maintenance.

General Trend: High Slug expression in various cancers (including breast, colorectal, head and neck, and others) is frequently correlated with a more aggressive phenotype and poorer clinical outcomes.
Scientific Papers found: Click to Expand⟱
95- QC,    Quercetin, a natural dietary flavonoid, acts as a chemopreventive agent
- in-vitro, Pca, PC3
p‑ERK↓, p‑STAT3↓, p‑Akt↓, N-cadherin↓, Vim↓, cycD1/CCND1↓, Snail↓, Slug↓, Twist↓, PCNA↓, EGFR↓, chemoPv↑,
80- QC,    Quercetin reverses EGF-induced epithelial to mesenchymal transition and invasiveness in prostate cancer (PC-3) cell line via EGFR/PI3K/Akt pathway
- in-vitro, Pca, PC3
Vim↓, ERK↓, Snail↓, Slug↓, Twist↓, EGFR↓, p‑Akt↓, EGFR↓, N-cadherin↓, TumMeta↓, EMT↓,
77- QC,  EGCG,    The dietary bioflavonoid quercetin synergizes with epigallocathechin gallate (EGCG) to inhibit prostate cancer stem cell characteristics, invasion, migration and epithelial-mesenchymal transition
- in-vitro, Pca, CD44+ - in-vitro, NA, CD133+ - in-vitro, NA, PC3 - in-vitro, NA, LNCaP
Casp3↑, Casp7↑, Bcl-2↓, survivin↓, XIAP↓, EMT↓, Vim↓, Slug↓, Snail↓, β-catenin/ZEB1↓, LEF1↓, TCF↓, eff↑, CSCs↓, TumCG↓, tumCV↓,
923- QC,    Quercetin as an innovative therapeutic tool for cancer chemoprevention: Molecular mechanisms and implications in human health
- Review, Var, NA
ROS↑, GSH↓, Ca+2↝, MMP↓, Casp3↑, Casp8↑, Casp9↑, other↓, *ROS↓, *NRF2↑, HO-1↑, TumCCA↑, Inflam↓, STAT3↓, DR5↑, P450↓, MMPs↓, IFN-γ↓, IL6↓, COX2/PTGS2↓, IL8↓, iNOS↓, TNF-α↓, cl‑PARP↑, Apoptosis↑, P53↑, Sp1/3/4↓, survivin↓, TRAILR↑, Casp10↑, DFF45↑, TNFR 1↑, Fas↑, NF-kB↓, IKKα↓, cycD1/CCND1↓, Bcl-2↓, BAX↑, PI3K↓, Akt↓, E-cadherin↓, Vim↓, β-catenin/ZEB1↓, cMyc↓, EMT↓, MMP2↓, NOTCH1↓, MMP7↓, angioG↓, TSP-1↑, CSCs↓, XIAP↓, Snail↓, Slug↓, LEF1↓, P-gp/ABCB1↓, EGFR↓, GSK‐3β↓, mTOR↓, RAGE↓, HSP27↓, VEGF↓, TGF-β↓, COL1↓, COL3A1↓,
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↓, Synergy↑, HK2↓, ROS↑, MMP↓,
3092- RES,    Resveratrol in breast cancer treatment: from cellular effects to molecular mechanisms of action
- Review, BC, MDA-MB-231 - Review, BC, MCF7
TumCP↓, tumCV↓, TumCI↓, TumMeta↓, *antiOx↑, *cardioP↑, *Inflam↓, *neuroP↑, *Keap1↓, *NRF2↑, *ROS↓, p62↓, IL1β↓, CRP↓, VEGF↓, Bcl-2↓, MMP2↓, MMP9↓, FOXO4↓, POLD1↓, CK2↓, MMP↓, ROS↑, Apoptosis↑, TumCCA↑, Beclin-1/ATG6↓, Ki-67↓, ATP↓, GlutMet↓, PFK↓, TGF-β↓, SMAD2↓, SMAD3↓, Vim?, Snail↓, Slug↓, E-cadherin↑, EMT↓, Zeb1↓, Fibronectin↓, IGF-1↓, PI3K↓, Akt↓, HO-1↑, Synergy↑, PD-1↓, CD8+↑, Th1 response↑, CSCs↓, RadioS↑, SIRT1↑, Hif1a↓, mTOR↓,
1466- SFN,    Sulforaphane inhibits thyroid cancer cell growth and invasiveness through the reactive oxygen species-dependent pathway
- vitro+vivo, Thyroid, FTC-133
TumCP↓, TumCCA↑, Apoptosis↑, TumCMig↓, TumCI↓, EMT↓, Slug↓, Twist↓, MMP2↓, MMP9↓, TumCG↓, p‑Akt↓, P21↑, ERK↑, p38↑, ROS↑, *toxicity∅, MMP↓, eff↓,
3323- SIL,    Anticancer therapeutic potential of silibinin: current trends, scope and relevance
- Review, Var, NA
Inflam↓, angioG↓, antiOx↑, TumMeta↓, TumCP↓, TumCCA↑, TumCD↑, α-SMA↓, p‑Akt↓, p‑STAT3↓, COX2/PTGS2↓, IL6↓, MMP2↓, HIF-1↓, Snail↓, Slug↓, Zeb1↓, NF-kB↓, p‑EGFR↓, JAK2↓, PI3K↓, PD-L1↓, VEGF↓, CDK4↓, CDK2↓, cycD1/CCND1↓, E2Fs↓,
9033- SP,    Spirulina and Its Bioactive Compounds as Multi-Target Anticancer Agents: Mechanisms, Immune Modulation, and Translational Potential
- Review, Var, NA
Apoptosis↑, TumCCA↑, angioG↓, VEGF↓, VEGFR1↓, EMT↓, Ingr↝, Imm↑, pol-M1↑, Th1 response↑, Th17↑, chemoP↑, BioAv↓, Synergy?, Ingr↝, Ingr↝, Ingr↝, ROS⇅, ROS↑, mtDam↑, DNAdam↑, SOD↓, Bcl-2↓, Casp3↑, MDA↓, Catalase↑, ROS↓, MOMP↑, Cyt‑c↑, Casp9↑, CellShr↑, ChrCon↑, Dose↝, TNFR 1↑, FADD↑, TRADD↑, Beclin-1/ATG6↑, PI3K↓, Akt↓, mTOR↓, TumAuto↑, TumCMig↓, TumCI↓, Vim↓, Fibronectin↓, COL1↓, MMP2↓, MMP9↓, COX2/PTGS2↓, MCP1/CCL2↓, ICAM-1↓, VCAM-1↓, Snail↓, Slug↓, Zeb1↓, Twist↓, E-cadherin↑, chemoP↑, *hepatoP↑, *lipid-P↓, *Casp3↓, *BAX↓, RenoP↑, *creat↓, *Urea↓, *SOD↑, *Catalase↑, *neuroP↑, *cognitive↑, *ROS↓, *NeuroI↓, *memory↑, *BDNF↑, *CREB↑, *toxicity↓, *toxicity↝, *BioAv↓, *BioAv↓, *Half-Life↝,
1138- TQ,    Thymoquinone inhibits epithelial-mesenchymal transition in prostate cancer cells by negatively regulating the TGF-β/Smad2/3 signaling pathway
- in-vitro, Pca, DU145 - in-vitro, Pca, PC3
TumMeta↓, EMT↓, E-cadherin↑, Vim↓, Slug↓, TGF-β↓, SMAD2↓, SMAD3↓,
3427- TQ,    Chemopreventive and Anticancer Effects of Thymoquinone: Cellular and Molecular Targets
- in-vitro, Var, NA
ROS⇅, Fas↑, DR5↑, TRAIL↑, Casp3↑, Casp8↑, Casp9↑, P53↑, mTOR↓, Bcl-2↓, BID↓, CXCR4↓, JNK↑, p38↑, MAPK↑, LC3II↑, ATG7↑, Beclin-1/ATG6↑, AMPK↑, PPARγ↑, eIF2α↓, P70S6K↓, VEGF↓, ERK↓, NF-kB↓, XIAP↓, survivin↓, p65↓, DLC1↑, FOXO↑, TET2↑, CYP1B1↑, UHRF1↓, DNMT1↓, HDAC1↓, IL2↑, IL1↓, IL6↓, IL10↓, IL12↓, TNF-α↓, iNOS↓, COX2/PTGS2↓, 5LO↓, AP-1↓, PI3K↓, Akt↓, cMET↓, VEGFR2/KDR/Flk1↓, CXCL1↓, ITGA5↓, Wnt↓, β-catenin/ZEB1↓, GSK‐3β↓, Myc↓, cycD1/CCND1↓, N-cadherin↓, Snail↓, Slug↓, Vim↓, Twist↓, Zeb1↓, MMP2↓, MMP7↓, MMP9↓, JAK2↓, STAT3↓, NOTCH↓, cycA1/CCNA1↓, CDK2↓, CDK4↓, CDK6↓, CDC2↓, CDC25↓, Mcl-1↓, E2Fs↓, p16↑, p27/CDKN1B↑, P21↑, ChemoSen↑,

Showing Research Papers: 51 to 61 of 61
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* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 61

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

antiOx↑, 1,   Catalase↓, 1,   Catalase↑, 1,   GSH↓, 4,   GSR↑, 1,   HO-1↓, 1,   HO-1↑, 4,   lipid-P↑, 2,   MDA↓, 1,   MDA↑, 1,   NQO1↑, 2,   NRF2↓, 1,   NRF2↑, 3,   ROS↓, 1,   ROS↑, 18,   ROS⇅, 2,   ROS∅, 1,   SOD↓, 1,   SOD↑, 1,   SOD1↑, 1,   SOD2↑, 1,   TrxR↓, 1,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

CDC2↓, 2,   CDC25↓, 2,   mitResp↓, 1,   mtDam↑, 2,   OXPHOS↓, 1,   PDH↓, 1,   PDH↑, 1,   SIRT3↑, 1,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

5LO↓, 1,   ACC-α↓, 1,   ACC1↓, 1,   ACLY↓, 1,   ALAT↓, 1,   AMPK↑, 3,   ATP↓, 2,   FASN↓, 1,   GlucoseCon↓, 3,   GlutMet↓, 1,   Glycolysis↓, 6,   GSK‐3β↓, 4,   GSK‐3β↑, 1,   p‑GSK‐3β↓, 1,   HK2↓, 5,   lactateProd↓, 2,   LDHA↓, 2,   LDL↓, 1,   NADPH↑, 1,   PDK1 / PDPK1↓, 1,   PFK↓, 1,   PIP3↑, 1,   PKM2↓, 1,   Pyruv↑, 1,   SIRT1↓, 1,   SIRT1↑, 1,   SIRT2↓, 1,   SREBP1/SREBF1↓, 1,   TCA↑, 1,  

Cell Death(tgid=5) ⓘ

AIF↑, 1,   APAF1↑, 1,   Apoptosis↓, 1,   Apoptosis↑, 21,   BAD↑, 1,   Bak↑, 1,   BAX↑, 5,   Bcl-2↓, 18,   Bcl-xL↓, 2,   BID↓, 1,   BID↑, 1,   BIM↑, 2,   Casp↑, 1,   Casp10↑, 1,   Casp12↑, 1,   Casp3↑, 16,   Casp3∅, 1,   cl‑Casp3↑, 3,   Casp7↑, 5,   Casp8↑, 8,   Casp8∅, 1,   Casp9↑, 10,   cl‑Casp9↑, 1,   CellShr↑, 1,   Cyt‑c↓, 1,   Cyt‑c↑, 7,   DR5↑, 3,   Endon↑, 1,   FADD↑, 2,   Fas↑, 4,   HEY1↓, 1,   iNOS↓, 3,   Mcl-1↓, 6,   MDM2↓, 1,   MOMP↑, 1,   p38↑, 4,   p‑p38↓, 1,   PUMA↓, 1,   survivin↓, 11,   survivin↝, 1,   TNFR 1↑, 2,   TRAIL↑, 1,   TRAILR↑, 1,   TumCD↑, 5,   XIAP↓, 10,   YAP/TEAD↓, 1,  

Kinase & Signal Transduction(tgid=6) ⓘ

Akt↓, 20,   p‑Akt↓, 8,   AKT1↓, 1,   CK2↓, 1,   cMET↓, 3,   EGFR↓, 7,   p‑EGFR↓, 1,   ERK↓, 5,   ERK↑, 1,   p‑ERK↓, 3,   p‑HER2/EBBR2↓, 1,   IKKα↓, 2,   JAK1↓, 1,   JAK2↓, 3,   JNK↑, 2,   MAPK↓, 1,   MAPK↑, 2,   mTOR↓, 11,   P70S6K↓, 1,   PDGFR-BB↓, 1,   PI3K↓, 16,   p‑PI3K↓, 1,   PKA↓, 1,   PTEN↑, 3,   Sp1/3/4↓, 3,   Src↓, 1,   STAT3↓, 8,   p‑STAT3↓, 3,  

Transcription & Epigenetics(tgid=7) ⓘ

ATF3↑, 1,   ATF4↑, 2,   cMyc↓, 8,   DNMT1↓, 1,   EZH2↓, 2,   FOXM1↓, 1,   FOXO↑, 1,   FOXO1↑, 1,   FOXO3↑, 2,   p‑FOXO3↓, 1,   FOXO4↓, 1,   FOXO4↑, 1,   H3↑, 1,   HDAC↓, 1,   HDAC1↓, 1,   HES1↓, 1,   miR-140↑, 1,   miR-200c↑, 1,   miR-205↑, 1,   miR-21↓, 2,   miR-29b↓, 1,   miR-34a↓, 2,   MTA2↓, 1,   Myc↓, 1,   OCT4↓, 5,   OCT4↑, 1,   other↓, 1,   other↑, 1,   SOX2↓, 1,   SOX4↓, 1,   SOX4↑, 1,   tumCV↓, 8,  

Protein Folding & ER Stress(tgid=8) ⓘ

CHOP/DDIT3↑, 4,   eIF2α↓, 1,   p‑eIF2α↑, 3,   ER Stress↑, 5,   GRP78/BiP↑, 4,   HSP27↓, 1,   HSP70/HSPA5↓, 1,   HSP90↓, 1,   IRE1↑, 1,   PDI↑, 1,   PERK↑, 1,   UPR↓, 1,   UPR↑, 1,   XBP-1↓, 1,  

Autophagy & Lysosomes(tgid=9) ⓘ

ATG7↑, 1,   Beclin-1/ATG6↓, 1,   Beclin-1/ATG6↑, 4,   CTSB↓, 1,   CTSD↓, 1,   LC3B-II↑, 1,   LC3II↑, 1,   p62↓, 2,   TumAuto↑, 4,  

DNA Damage & Repair(tgid=10) ⓘ

DFF45↑, 1,   DNAdam↑, 4,   DNAdam⇅, 1,   mt-DNAdam↑, 1,   hTERT/TERT↓, 1,   p16↑, 1,   P53↑, 5,   PARP↑, 4,   cl‑PARP↑, 4,   PCNA↓, 3,   POLD1↓, 1,   TOP1↓, 1,   TOP2↓, 2,   TP53↑, 1,   UHRF1↓, 1,   γH2AX↑, 1,  

Cell Cycle & Senescence(tgid=11) ⓘ

CDK1↓, 2,   CDK2↓, 7,   CDK4↓, 8,   CDK6↓, 3,   CHK1↓, 1,   Chk2↓, 1,   ChrCon↑, 1,   cycA1/CCNA1↓, 3,   CycB/CCNB1↓, 4,   CycB/CCNB1↑, 1,   cycD1/CCND1↓, 10,   cycE/CCNE↓, 2,   E2Fs↓, 2,   Ki-67↓, 4,   P21↑, 8,   p27/CDKN1B↓, 1,   p27/CDKN1B↑, 3,   RB1↓, 1,   p‑RB1↓, 1,   TumCCA↓, 1,   TumCCA↑, 12,  

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

ALDH↓, 1,   ALDH1A1↓, 2,   BMI1↓, 1,   CD133↓, 2,   cFos↓, 1,   CSCs↓, 14,   Gli↓, 1,   Gli1↓, 1,   HH↓, 4,   IGF-1↓, 1,   JAG1↓, 1,   Ki-67↓, 4,   Let-7↓, 1,   LRP6↓, 3,   p‑LRP6↓, 2,   Nanog↓, 6,   Nanog↑, 1,   Nestin↓, 1,   NOTCH↓, 3,   NOTCH1↓, 4,   NOTCH1↑, 1,   Pirin↓, 1,   PTCH1↓, 1,   PTCH2↓, 1,   Shh↓, 2,   Smo↓, 1,   TumCG↓, 11,   TumCP↓, 16,   Wnt↓, 9,  

Migration(tgid=13) ⓘ

AEG1↑, 1,   AntiAg↑, 1,   AP-1↓, 2,   AXL↓, 1,   Ca+2↑, 4,   Ca+2↝, 1,   i-Ca+2↑, 1,   CAFs/TAFs↓, 1,   COL1↓, 2,   COL3A1↓, 1,   DLC1↑, 1,   E-cadherin↓, 4,   E-cadherin↑, 28,   EM↑, 1,   EMT↓, 46,   F-actin↓, 1,   FAK↓, 1,   Fibronectin↓, 5,   GLI2↓, 1,   ITGA5↓, 1,   LEF1↓, 3,   MALAT1↓, 1,   MMP-10↓, 2,   MMP2↓, 22,   MMP7↓, 3,   MMP9↓, 22,   MMPs↓, 4,   N-cadherin↓, 17,   PIR↓, 1,   Rho↓, 1,   ROCK1↓, 3,   Slug?, 1,   Slug↓, 60,   Smad1↓, 1,   SMAD2↓, 3,   p‑SMAD2↓, 3,   SMAD3↓, 4,   p‑SMAD3↓, 3,   Snail?, 2,   Snail↓, 41,   TET1↑, 1,   TGF-β↓, 7,   TGF-β1↓, 1,   TIMP2↓, 1,   TRIB3↑, 1,   TSP-1↑, 1,   TumCA↓, 1,   TumCI↓, 30,   TumCMig↓, 25,   TumMeta↓, 16,   TumMeta↑, 1,   Twist↓, 16,   uPA↓, 3,   Vim?, 1,   Vim↓, 36,   vinculin↓, 1,   Zeb1↓, 17,   Zeb1↑, 1,   ZEB2↓, 2,   α-SMA↓, 3,   α-SMA↑, 1,   β-catenin/ZEB1↓, 19,   β-catenin/ZEB1↑, 2,  

Angiogenesis & Vasculature(tgid=14) ⓘ

angioG↓, 11,   HIF-1↓, 1,   Hif1a↓, 4,   TXA2↓, 1,   VCAM-1↓, 1,   VEGF↓, 12,   VEGFR1↓, 1,   VEGFR2/KDR/Flk1↓, 2,  

Barriers & Transport(tgid=15) ⓘ

CLDN1↓, 2,   CLDN1↑, 1,   GLUT1↓, 1,   MMP↓, 10,   MMP↑, 1,   OCLN↑, 1,   ZO-1↓, 1,   ZO-1↑, 2,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

CD44↓, 5,   CD8+↑, 1,   COX1↓, 1,   COX2/PTGS2↓, 9,   COX2/PTGS2↑, 1,   CXCL1↓, 1,   CXCR4↓, 2,   FOXP3↑, 1,   ICAM-1↓, 1,   IFN-γ↓, 1,   IL1↓, 1,   IL10↓, 2,   IL12↓, 1,   IL1β↓, 2,   IL2↑, 1,   IL4↓, 1,   IL6↓, 7,   IL8↓, 2,   Imm↑, 1,   Inflam↓, 4,   IRAK1↓, 1,   LIF↑, 1,   pol-M1↑, 1,   M2 MC↓, 1,   MCP1/CCL2↓, 1,   NF-kB↓, 14,   NF-kB↑, 1,   NK cell↑, 1,   p50↓, 1,   p65↓, 1,   PD-1↓, 1,   PD-L1↓, 2,   PGE2↓, 4,   PSA↓, 1,   RAGE↓, 1,   TCF↓, 3,   Th1 response↑, 2,   Th17↑, 1,   TLR4↓, 1,   TNF-α↓, 3,   TNF-α∅, 1,   TRADD↑, 1,  

Cellular Microenvironment(tgid=17) ⓘ

IM↓, 1,  

Hormonal & Nuclear Receptors(tgid=20) ⓘ

ADRB2↓, 1,   AhR↓, 2,   AR↓, 1,   ER-α36↓, 1,   PPARα↓, 1,   PPARα↑, 1,   PPARγ↑, 2,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↓, 4,   BioAv↑, 4,   BioAv↝, 1,   ChemoSen↑, 9,   ChemoSen⇅, 1,   CompStab↑, 1,   CYP1B1↑, 1,   Dose↑, 1,   Dose↝, 2,   eff↓, 2,   eff↑, 4,   Half-Life↓, 1,   MDR1↓, 1,   P-gp/ABCB1↓, 3,   P450↓, 2,   RadioS↑, 4,   selectivity↑, 4,   Synergy?, 1,   Synergy↑, 14,   TET2↑, 1,  

Clinical Biomarkers(tgid=22) ⓘ

ALAT↓, 1,   ALP↓, 1,   AR↓, 1,   CRP↓, 1,   E6↓, 1,   E7↓, 1,   EGFR↓, 7,   p‑EGFR↓, 1,   EZH2↓, 2,   FOXM1↓, 1,   p‑HER2/EBBR2↓, 1,   hTERT/TERT↓, 1,   IL6↓, 7,   LDH↓, 2,   LDH↑, 1,   Myc↓, 1,   PD-L1↓, 2,   PSA↓, 1,   RAGE↓, 1,   TG/TAG↓, 1,   TP53↑, 1,   TRIB3↑, 1,  

Functional Outcomes(tgid=23) ⓘ

AntiCan↑, 2,   antiD↑, 1,   cachexia↓, 1,   cardioP↑, 3,   chemoP↑, 3,   chemoPv↑, 2,   neuroP↑, 1,   OS↑, 1,   RenoP↑, 3,   toxicity↓, 1,   toxicity↝, 1,   TumVol↓, 2,   TumW↓, 2,  

Infection & Microbiome(tgid=24) ⓘ

AntiBio↑, 1,   Bacteria↓, 2,   GutMicro↑, 1,  

Ingredients & Constituents(tgid=25) ⓘ

Ingr↝, 4,  
Total Targets: 442

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

antiOx↑, 3,   Catalase↑, 3,   GPx↑, 2,   GSH↑, 2,   GSTs↑, 2,   Keap1↓, 1,   lipid-P↓, 3,   MDA↓, 1,   NRF2↑, 4,   Prx↑, 1,   RNS↓, 1,   ROS↓, 8,   SOD↓, 1,   SOD↑, 3,   SOD2↑, 1,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

ALAT↓, 2,   AMPK↓, 1,   ATP↓, 1,   DGAT1↓, 1,   FASN↓, 1,   NAD↓, 1,   SIRT1↑, 1,  

Cell Death(tgid=5) ⓘ

Apoptosis↓, 1,   BAX↓, 3,   Bcl-2↓, 1,   Casp3?, 1,   Casp3↓, 3,   Casp9↓, 1,   Cyt‑c↓, 2,   iNOS↓, 2,  

Kinase & Signal Transduction(tgid=6) ⓘ

Akt↓, 1,   Akt↑, 1,   p‑Akt↑, 1,   CREB↑, 1,   mTOR↑, 1,   PI3K↑, 1,   STAT3↑, 1,   p‑STAT3↑, 1,  

Transcription & Epigenetics(tgid=7) ⓘ

ATF4↓, 1,   HOTAIR↑, 1,   RUNX2↑, 1,  

Protein Folding & ER Stress(tgid=8) ⓘ

CHOP/DDIT3↓, 1,  

Autophagy & Lysosomes(tgid=9) ⓘ

Beclin-1/ATG6↓, 1,   LC3II↓, 1,   p62↑, 1,  

DNA Damage & Repair(tgid=10) ⓘ

DNAdam↓, 1,   P53↓, 1,  

Cell Cycle & Senescence(tgid=11) ⓘ

GADD34↓, 1,   P21↓, 1,  

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

BMP2↑, 1,  

Migration(tgid=13) ⓘ

COL1↑, 1,  

Angiogenesis & Vasculature(tgid=14) ⓘ

angioG↑, 1,   NO↓, 1,  

Barriers & Transport(tgid=15) ⓘ

MMP↑, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

COX2/PTGS2↓, 2,   IFN-γ↓, 1,   IL10↓, 1,   IL17↓, 1,   IL6↓, 2,   Imm↓, 1,   Imm↑, 1,   Inflam↓, 4,   NeuroI↓, 1,   NF-kB↓, 3,   PGE2↓, 2,   TNF-α↓, 2,  

Synaptic & Neurotransmission(tgid=18) ⓘ

BDNF↓, 1,   BDNF↑, 1,   MAOA↓, 1,  

Protein Aggregation(tgid=19) ⓘ

AGEs↓, 1,   Aβ↓, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↓, 4,   BioAv↑, 1,   CYP2E1↓, 1,   Half-Life↝, 1,  

Clinical Biomarkers(tgid=22) ⓘ

ALAT↓, 2,   AST↓, 3,   creat↓, 1,   IL6↓, 2,   Urea↓, 1,  

Functional Outcomes(tgid=23) ⓘ

Analgesic↑, 1,   antiAll↑, 1,   AntiDiabetic↑, 2,   AntiTum↑, 1,   cardioP↑, 3,   cognitive↑, 1,   hepatoP↑, 3,   memory↑, 2,   neuroP↑, 7,   Obesity↓, 1,   toxicity↓, 3,   toxicity↝, 2,   toxicity∅, 2,  

Infection & Microbiome(tgid=24) ⓘ

AntiViral↑, 1,  
Total Targets: 94

Scientific Paper Hit Count for: Slug, SNAI2/transcription factor Slug
6 Quercetin
5 EGCG (Epigallocatechin Gallate)
4 Curcumin
3 Diindolylmethane
3 Sulforaphane (mainly Broccoli)
3 Resveratrol
3 Honokiol
3 Piperlongumine
2 Apigenin (mainly Parsley)
2 Ashwagandha(Withaferin A)
2 Chrysin
2 HydroxyTyrosol
2 Matrine
2 Thymoquinone
1 1,8-Cineole
1 Artemisinin
1 Aspirin
1 Betulinic acid
1 Benzyl isothiocyanate
1 Chlorogenic acid
1 Cyclopamine
1 Genistein (soy isoflavone)
1 Emodin
1 Eugenol
1 Fisetin
1 Sorafenib (brand name Nexavar)
1 Fucoidan
1 Galloflavin
1 Grapeseed extract
1 Isothiocyanates
1 Kaempferol
1 Magnolol
1 5-fluorouracil
1 Magnetic Fields
1 Oleuropein
1 Orlistat
1 Phenethyl isothiocyanate
1 Piperine
1 Propranolol
1 Pterostilbene
1 isoflavones
1 Silymarin (Milk Thistle) silibinin
1 Spirulina(Arthrospira/Limnospira)
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#:413  State#:%  Dir#:%
  wNotes=0  sortOrder:rid,rpid

 

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