MMPs Cancer Research Results

MMPs, Matrix metalloproteinases: Click to Expand ⟱
Source:
Type:
Family of zinc-dependent proteolytic enzymes that play a key role in degrading the extracellular matrix (ECM).; are metalloproteinases that are calcium-dependent zinc-containing endopeptidases;[1] other family members are adamalysins, serralysins, and astacins. The MMPs belong to a larger family of proteases known as the metzincin superfamily.[2]
MMP secretion: matrix metalloproteinase (MMP) is a kind of enzymes secreted.
by tumor cell to degrade ECM, facilitating the migration of tumor cells.

MMPs are generally considered protumorigenic due to their role in promoting tumor invasion, metastasis, and angiogenesis. They facilitate the breakdown of the extracellular matrix, allowing cancer cells to invade surrounding tissues and spread to distant sites.
Scientific Papers found: Click to Expand⟱
2355- SK,    Pharmacological properties and derivatives of shikonin-A review in recent years
- Review, Var, NA
AntiCan↑, TumCP↓, TumCMig↓, Apoptosis↑, TumAuto↑, Necroptosis↑, ROS↑, TrxR1↓, PKM2↓, RIP1↓, RIP3↓, Src↓, FAK↓, PI3K↓, Akt↓, mTOR↓, GRP58↓, MMPs↓, ATF2↓, cl‑PARP↑, Casp3↑, p‑p38↑, p‑JNK↑, p‑ERK↓,
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↓,
2092- TQ,    Dissecting the Potential Roles of Nigella sativa and Its Constituent Thymoquinone on the Prevention and on the Progression of Alzheimer's Disease
- Review, AD, NA
*iNOS↓, *ROS↓, *GSH↑, *neuroP↑, *MMPs↓, *MMP↑, *TXNIP↓, *Prx↑, *memory↑, *MDA↓, *SOD↑, *Catalase↑, *BioAv↑,
2094- TQ,    Cytotoxicity of Nigella sativa Extracts Against Cancer Cells: A Review of In Vitro and In Vivo Studies
- Review, Var, NA
ROS↑, angioG↓, TumMeta↓, VEGF↓, MMPs↓, P53↑, BAX↑, Casp↑, Bcl-2↓, survivin↓, *ROS↓, ChemoSen↑, chemoP↑, MDR1↓, BioAv↓, BioAv↑,
3397- TQ,    Thymoquinone: A Promising Therapeutic Agent for the Treatment of Colorectal Cancer
- Review, CRC, NA
ChemoSen↑, *Half-Life↝, *BioAv↝, *antiOx↑, *Inflam↓, *hepatoP↑, TumCP↓, TumCCA↑, Apoptosis↑, angioG↑, selectivity↑, JNK↑, p38↑, p‑NF-kB↑, ERK↓, PI3K↓, PTEN↑, Akt↓, mTOR↓, EMT↓, Twist↓, E-cadherin↓, ROS⇅, *Catalase↑, *SOD↑, *GSTA1↑, *GPx↑, *PGE2↓, *IL1β↓, *COX2/PTGS2↓, *MMP13↓, MMPs↓, TumMeta↓, VEGF↓, STAT3↓, BAX↑, Bcl-2↑, Casp9↑, Casp7↑, Casp3↑, cl‑PARP↑, survivin↓, cMyc↓, cycD1/CCND1↓, p27/CDKN1B↑, P21↑, GSK‐3β↓, β-catenin/ZEB1↓, chemoP↑,
3423- TQ,    Epigenetic role of thymoquinone: impact on cellular mechanism and cancer therapeutics
- Review, Var, NA
AntiCan↑, Inflam↓, hepatoP↑, RenoP↑, BAX↑, Bak↑, Bcl-2↓, Bcl-xL↓, ROS↑, P53↑, PTEN↑, P21↑, p27/CDKN1B↑, BRCA1↑, PI3K↓, Akt↓, MAPK↓, ERK↓, p‑ERK↓, MMPs↓, FAK↓, Twist↓, Zeb1↓, EMT↓, TumMeta↓, angioG↓, VEGF↓, HDAC↓, Maspin↑, SIRT1↑, DNMT1↓, DNMT3A↓, HDAC1↓, HDAC4↓,
3107- VitC,    Repurposing Vitamin C for Cancer Treatment: Focus on Targeting the Tumor Microenvironment
- Review, Var, NA
Risk↓, *ROS↓, ROS↑, VEGF↓, COX2/PTGS2↓, ER Stress↑, IRE1↑, JNK↑, CHOP/DDIT3↑, Hif1a↓, eff↑, Glycolysis↓, MMPs↓, TumMeta↓, YAP/TEAD↓, eff↑, TET1↑,
3129- VitC,    Therapeutic treatment with vitamin C reduces focal cerebral ischemia-induced brain infarction in rats by attenuating disruptions of blood brain barrier and cerebral neuronal apoptosis
- in-vivo, Stroke, NA
*BBB↑, *MMP9↓, *MMPs↓, *MMP2↓, *CLDN1↝, *ZO-1↝, eff↑,
1817- VitK2,    Research progress on the anticancer effects of vitamin K2
- Review, Var, NA
TumCCA↑, Apoptosis↑, TumAuto↑, TumCI↓, TumCG↓, ChemoSen↓, ChemoSideEff↓, toxicity∅, eff↑, cycD1/CCND1↓, CDK4↓, eff↑, IKKα↓, NF-kB↓, other↑, p27/CDKN1B↑, cMyc↓, i-ROS↑, Bcl-2↓, BAX↑, p38↑, MMP↓, Casp9↑, p‑ERK↓, RAS↓, MAPK↓, p‑P53↑, Casp8↑, Casp3↑, cJun↑, MMPs↓, eff↑, eff↑,

Showing Research Papers: 101 to 109 of 109
Prev Page 3 of 3

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 109

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

ROS↑, 4,   ROS⇅, 1,   i-ROS↑, 1,   TrxR1↓, 1,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

MMP↓, 1,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

cMyc↓, 2,   Glycolysis↓, 1,   PKM2↓, 1,   SIRT1↑, 1,  

Cell Death(tgid=5) ⓘ

Akt↓, 3,   Apoptosis↑, 3,   ATF2↓, 1,   Bak↑, 1,   BAX↑, 4,   Bcl-2↓, 3,   Bcl-2↑, 1,   Bcl-xL↓, 1,   Casp↑, 1,   Casp3↑, 3,   Casp7↑, 1,   Casp8↑, 1,   Casp9↑, 2,   GRP58↓, 1,   JNK↑, 2,   p‑JNK↑, 1,   MAPK↓, 2,   Necroptosis↑, 1,   p27/CDKN1B↑, 3,   p38↑, 2,   p‑p38↑, 1,   RIP1↓, 1,   survivin↓, 2,   YAP/TEAD↓, 1,  

Transcription & Epigenetics(tgid=7) ⓘ

cJun↑, 1,   other↑, 1,  

Protein Folding & ER Stress(tgid=8) ⓘ

CHOP/DDIT3↑, 1,   ER Stress↑, 1,   IRE1↑, 1,  

Autophagy & Lysosomes(tgid=9) ⓘ

TumAuto↑, 2,  

DNA Damage & Repair(tgid=10) ⓘ

BRCA1↑, 1,   DNMT1↓, 1,   DNMT3A↓, 1,   P53↑, 2,   p‑P53↑, 1,   cl‑PARP↑, 2,  

Cell Cycle & Senescence(tgid=11) ⓘ

CDK4↓, 1,   cycD1/CCND1↓, 2,   P21↑, 2,   TumCCA↑, 2,  

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

ALDH↓, 1,   CD44↓, 1,   CSCs↓, 1,   EMT↓, 2,   ERK↓, 2,   p‑ERK↓, 3,   GSK‐3β↓, 1,   HDAC↓, 1,   HDAC1↓, 1,   HDAC4↓, 1,   mTOR↓, 2,   PI3K↓, 3,   PTEN↑, 2,   RAS↓, 1,   Src↓, 1,   STAT3↓, 1,   TumCG↓, 2,  

Migration(tgid=13) ⓘ

E-cadherin↓, 1,   FAK↓, 2,   MMPs↓, 7,   RIP3↓, 1,   TET1↑, 1,   TumCI↓, 2,   TumCMig↓, 2,   TumCP↓, 2,   TumMeta↓, 5,   Twist↓, 2,   Zeb1↓, 1,   β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature(tgid=14) ⓘ

angioG↓, 3,   angioG↑, 1,   Hif1a↓, 1,   VEGF↓, 4,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

COX2/PTGS2↓, 1,   CXCR4↓, 1,   IKKα↓, 1,   Inflam↓, 1,   NF-kB↓, 1,   p‑NF-kB↑, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

ABCG2↓, 1,   BioAv↓, 1,   BioAv↑, 1,   ChemoSen↓, 1,   ChemoSen↑, 2,   eff↑, 7,   MDR1↓, 1,   selectivity↑, 1,  

Clinical Biomarkers(tgid=22) ⓘ

BRCA1↑, 1,   Maspin↑, 1,  

Functional Outcomes(tgid=23) ⓘ

AntiCan↑, 2,   chemoP↑, 2,   ChemoSideEff↓, 1,   hepatoP↑, 1,   RenoP↑, 1,   Risk↓, 1,   toxicity∅, 1,  
Total Targets: 105

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

antiOx↑, 1,   Catalase↑, 2,   GPx↑, 1,   GSH↑, 1,   GSTA1↑, 1,   MDA↓, 1,   Prx↑, 1,   ROS↓, 3,   SOD↑, 2,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

MMP↑, 1,  

Cell Death(tgid=5) ⓘ

iNOS↓, 1,  

Migration(tgid=13) ⓘ

CLDN1↝, 1,   MMP13↓, 1,   MMP2↓, 1,   MMP9↓, 1,   MMPs↓, 2,   TXNIP↓, 1,   ZO-1↝, 1,  

Barriers & Transport(tgid=15) ⓘ

BBB↑, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

COX2/PTGS2↓, 1,   IL1β↓, 1,   Inflam↓, 1,   PGE2↓, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↑, 1,   BioAv↝, 1,   Half-Life↝, 1,  

Functional Outcomes(tgid=23) ⓘ

hepatoP↑, 1,   memory↑, 1,   neuroP↑, 1,  
Total Targets: 29

Scientific Paper Hit Count for: MMPs, Matrix metalloproteinases
9 Quercetin
8 Curcumin
5 Resveratrol
4 EGCG (Epigallocatechin Gallate)
4 Eugenol
4 Thymoquinone
3 Apigenin (mainly Parsley)
3 Baicalein
3 Fisetin
3 Propolis -bee glue
3 Rosmarinic acid
2 Astaxanthin
2 Biochanin A
2 Betulinic acid
2 Caffeic Acid Phenethyl Ester (CAPE)
2 Echinacea
2 Coenzyme Q10
2 Fucoidan
2 Gallic acid
2 Gambogic Acid
2 Honokiol
2 Lycopene
2 Magnetic Fields
2 Piperine
2 Pterostilbene
2 Silymarin (Milk Thistle) silibinin
2 Vitamin C (Ascorbic Acid)
1 Silver-NanoParticles
1 Alpha-Lipoic-Acid
1 Anethole/trans-Anethole
1 Ashwagandha(Withaferin A)
1 Aloe anthraquinones
1 beta-glucans
1 immunotherapy
1 Berberine
1 Boswellia (frankincense)
1 Carnosic acid
1 Carvacrol
1 Chlorophyllin
1 Cichoric acid / Chicoric acid
1 Lecithin
1 CUSP9
1 Cysteamine
1 diet FMD Fasting Mimicking Diet
1 Ferulic acid
1 Geldanamycin
1 Radicicol/monorden
1 Garcinol
1 Gemcitabine (Gemzar)
1 Hibiscus sabdariffa
1 HydroxyTyrosol
1 Isobavachalcone
1 Inositol
1 IP6 (Inositol 1,2,3,4,5,6-hexakisphosphate)
1 isoorientin
1 Luteolin
1 Magnetic Field Rotating
1 Nimbolide
1 Proanthocyanidins
1 Phenethyl isothiocyanate
1 Sulforaphane (mainly Broccoli)
1 Shikonin
1 Aflavin-3,3′-digallate
1 Vitamin K2
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#:204  State#:%  Dir#:%
  wNotes=0  sortOrder:rid,rpid

 

Home Page