mtDam Cancer Research Results

mtDam, mitochondrial damage: Click to Expand ⟱
Source:
Type:
Mitochondrial damage can lead to a shift from oxidative phosphorylation to glycolysis, a process known as the Warburg effect. This shift can provide cancer cells with a selective advantage, allowing them to grow and proliferate more rapidly.
Mitochondrial Damage can also lead to cell death of cancer cells.
Scientific Papers found: Click to Expand⟱
5271- 3BP,    The anticancer agent 3-bromopyruvate: a simple but powerful molecule taken from the lab to the bedside
- Review, Var, NA
selectivity↑, selectivity↑, ATP↓, Glycolysis↓, HK2↓, mt-OXPHOS↓, GAPDH↓, mtDam↑, GSH↓, ROS↑, ER Stress↑, TumAuto↑, LC3‑Ⅱ/LC3‑Ⅰ↑, p62↓, Akt↓, HDAC↓, TumCA↑, Bcl-2↓, cMyc↓, Casp3↑, Cyt‑c↑, Mcl-1↓, PARP↓, ChemoSen↑,
5280- 3BP,    Anticancer Efficacy of the Metabolic Blocker 3-Bromopyruvate: Specific Molecular Targeting
- in-vitro, PC, NA
mtDam↑, HK2↓, TGF-β↓, Casp3↑, selectivity↑,
5277- 3BP,    3-Bromopyruvate inhibits pancreatic tumor growth by stalling glycolysis, and dismantling mitochondria in a syngeneic mouse model
- in-vivo, PC, Panc02
HK2↓, selectivity↑, ATP↓, mtDam↑, Dose↝, TumCG↓, Casp3↑, Glycolysis↓, NADPH↓, ATP↓, ROS↑, DNAdam↑, GSH↓, Bcl-2↓, Casp↑, lactateProd↓,
5270- 5-ALA,  PDT,    5-Aminolevulinic Acid as a Theranostic Agent for Tumor Fluorescence Imaging and Photodynamic Therapy
- Review, Var, NA
other↝, ROS↑, other↝, mtDam↑, Ca+2↑, ER Stress↑, Apoptosis↑, TumAuto↑, other↝, Dose↝, Imm↑,
5430- AG,    Review of the pharmacological effects of astragaloside IV and its autophagic mechanism in association with inflammation
- Review, Stroke, NA
*cardioP↑, *MitoP↑, *ROS↓, *mtDam↓, *neuroP↓, TumAuto↓, *AntiDiabetic↑,
4394- AgNPs,    Silver nanoparticles provoke apoptosis of Dalton's ascites lymphoma in vivo by mitochondria dependent and independent pathways
- in-vivo, lymphoma, NA
OS↑, TumVol↓, Weight↑, AntiTum↑, Apoptosis↑, mtDam↑,
4410- AgNPs,    Green-synthesized silver nanoparticles: a sustainable nanoplatform for targeted colon cancer therapy
- Review, Colon, NA
AntiCan↑, ROS↑, mtDam↑, tumCV↓, selectivity↑,
4435- AgNPs,  Gluc,    Glucose-Functionalized Silver Nanoparticles as a Potential New Therapy Agent Targeting Hormone-Resistant Prostate Cancer cells
- in-vitro, Pca, PC3 - in-vitro, Pca, LNCaP - in-vitro, Pca, DU145
selectivity↑, ROS↑, mtDam↑, TumCCA↑, TumCP↓, Apoptosis↑, MMP↓,
342- AgNPs,    Silver nanoparticles; a new hope in cancer therapy?
- Review, Var, NA
ROS↑, DNAdam↑, Apoptosis↑, mtDam↑, VEGF↓,
327- AgNPs,  MS-275,    Combination Effect of Silver Nanoparticles and Histone Deacetylases Inhibitor in Human Alveolar Basal Epithelial Cells
- in-vitro, Lung, A549
Apoptosis↑, ROS↑, LDH↓, TNF-α↑, mtDam↑, TumAuto↑, Casp3↑, Casp9↑, DNAdam↑,
316- AgNPs,    Endoplasmic reticulum stress: major player in size-dependent inhibition of P-glycoprotein by silver nanoparticles in multidrug-resistant breast cancer cells
- in-vitro, BC, MCF7
GRP78/BiP↑, ER Stress↑, ROS↑, mtDam↑,
371- AgNPs,    Cytotoxicity and genotoxicity of silver nanoparticles in the human lung cancer cell line, A549
- in-vitro, Lung, A549
ROS↑, mtDam↑,
368- AgNPs,    In vitro evaluation of silver nanoparticles on human tumoral and normal cells
- in-vitro, Var, NA
mtDam↑, LDH↓,
367- AgNPs,    Presence of an Immune System Increases Anti-Tumor Effect of Ag Nanoparticle Treated Mice
- in-vivo, Var, NA
ROS↑, mtDam↑,
357- AgNPs,    Hypoxia-mediated autophagic flux inhibits silver nanoparticle-triggered apoptosis in human lung cancer cells
- in-vitro, Lung, A549 - in-vitro, Lung, L132
mtDam↑, ROS↑, Hif1a↑, LC3s↑, p62↑, eff↓,
375- AgNPs,  ALA,    Alpha-Lipoic Acid Prevents Side Effects of Therapeutic Nanosilver without Compromising Cytotoxicity in Experimental Pancreatic Cancer
- in-vitro, PC, Bxpc-3 - in-vitro, PC, PANC1 - in-vitro, PC, MIA PaCa-2 - in-vivo, NA, NA
mtDam↑, ROS↑, *toxicity↓, Dose∅, selectivity↑,
393- AgNPs,    Green synthesized plant-based silver nanoparticles: therapeutic prospective for anticancer and antiviral activity
- in-vitro, Var, HCT116
mtDam↑, ROS↑, TumCCA↑, Casp3↑, BAX↑, Bcl-2↓, P53↑,
384- AgNPs,    Dual functions of silver nanoparticles in F9 teratocarcinoma stem cells, a suitable model for evaluating cytotoxicity- and differentiation-mediated cancer therapy
- in-vitro, Testi, F9
LDH↓, ROS↑, mtDam↑, DNAdam↑, P53↑, P21↑, BAX↑, Casp3↑, Bcl-2↓, Casp9↑, Nanog↓, OCT4↓,
2656- AL,    Allicin Protects PC12 Cells Against 6-OHDA-Induced Oxidative Stress and Mitochondrial Dysfunction via Regulating Mitochondrial Dynamics
- in-vitro, Park, PC12
*antiOx↑, *Apoptosis↓, *LDH↓, ROS↓, *lipid-P↓, *mtDam↓, *MMP↓, *Cyt‑c↓, *ATP∅, *Ca+2↝, *neuroP↑,
2657- AL,    Allicin pharmacology: Common molecular mechanisms against neuroinflammation and cardiovascular diseases
- Review, CardioV, NA - Review, AD, NA
*Inflam↓, *antiOx↑, *neuroP↑, *cardioP↑, *AntiTum↑, *mtDam↑, *HSP70/HSPA5↑, *NRF2↑, *RAAS↓, *cognitive↑, *SOD↑, *ROS↓, *NRF2↑, *ER Stress↓, *neuroP↑, *memory↑, *TBARS↓, *MPO↓, *SOD↑, *GSH↑, *iNOS↓, *p‑eNOS↑, *HO-1↑,
2634- Api,    Apigenin induces both intrinsic and extrinsic pathways of apoptosis in human colon carcinoma HCT-116 cells
- in-vitro, CRC, HCT116
TumCG↓, TumCCA↑, MMP↓, ROS↑, Ca+2↑, ER Stress↑, mtDam↑, CHOP/DDIT3↑, DR5↑, cl‑BID↑, BAX↑, Cyt‑c↑, cl‑Casp3↑, cl‑Casp8↑, cl‑Casp9↑, Apoptosis↑,
572- ART/DHA,    High-throughput screening identifies artesunate as selective inhibitor of cancer stemness: Involvement of mitochondrial metabolism
- Study, Var, NA
CSCs↓, mtDam↑,
3159- Ash,    Neuroprotective effects of Withania somnifera in the SH-SY5Y Parkinson cell model
- in-vitro, Park, SH-SY5Y
*neuroP↑, *Inflam↓, *ROS↓, *cognitive↑, *memory↑, *GPx↑, *Prx↓, *ATP↑, *Vim↓, *mtDam↓,
5552- BBM,    Effects of berbamine against myocardial ischemia/reperfusion injury: Activation of the 5' adenosine monophosphate‐activated protein kinase/nuclear factor erythroid 2‐related factor pathway and changes in the mitochondrial state
- in-vivo, Stroke, NA
*eff↑, *ROS↓, *mtDam↓, *AMPK↑, *NRF2↑, *NADPH↑, *HO-1↑, *cardioP↑,
1379- BBR,    Berberine derivative DCZ0358 induce oxidative damage by ROS-mediated JNK signaling in DLBCL cells
- in-vitro, lymphoma, NA
TumCP↓, CDK4↓, CDK6↓, cycD1/CCND1↓, TumCCA↑, MMP↓, Ca+2↑, ATP↓, mtDam↑, Apoptosis↑, ROS↑, JNK↑, eff↓,
1399- BBR,  Rad,    Radiotherapy Enhancing and Radioprotective Properties of Berberine: A Systematic Review
- Review, Var, NA
*ROS↓, *MDA↓, *TNF-α↓, *TGF-β↓, *IL10↑, ROS↑, DNAdam↑, mtDam↑, MMP↓, Apoptosis↑, TumCCA↑, Hif1a↓, VEGF↓, RadioS↑,
6511- BCP,    Improvement of Oxidative Stress and Mitochondrial Dysfunction by β-Caryophyllene: A Focus on the Nervous System
- Review, AD, NA
*CB2 / CNR2↑, *Bacteria↓, *antiOx↑, *Inflam↓, *NP/CIPN↓, *neuroP↑, AntiCan↑, *ROS↓, *mtDam↓, *GSH↑, *SOD↑, *Catalase↑, *lipid-P↓, *IL1β↓, *IL6↓, *TNF-α↓, *COX2/PTGS2↓, *iNOS↓, *NRF2↑, *HO-1↑, *AChE↓,
5511- bemA,    Inhibition of ACLY overcomes cancer immunotherapy resistance via polyunsaturated fatty acids peroxidation and cGAS-STING activation
- in-vitro, Var, NA
ACLY↓, PD-L1↑, mtDam↑, cGAS–STING↑, LDL↓, eff↑,
5582- BetA,    Targeting mitochondrial apoptosis by betulinic acid in human cancers
- Review, Var, NA
Apoptosis↑, MMP↓, Cyt‑c↑, ROS↑, NF-kB↑, angioG↓, mtDam↑, TOP1↓, selectivity↑, ChemoSen↑, TumCG↓, chemoPv↑, RadioS↑,
5585- BetA,    Betulinic acid-induced mitochondria-dependent cell death is counterbalanced by an autophagic salvage response
- in-vitro, Cerv, HeLa - in-vitro, lymphoma, U937
mtDam↑, TumAuto↑,
2719- BetA,    Betulinic Acid Restricts Human Bladder Cancer Cell Proliferation In Vitro by Inducing Caspase-Dependent Cell Death and Cell Cycle Arrest, and Decreasing Metastatic Potential
- in-vitro, CRC, T24/HTB-9 - in-vitro, Bladder, UMUC3 - in-vitro, Bladder, 5637
TumCD↑, Apoptosis↑, TumCCA↑, CycB/CCNB1↓, cycA1/CCNA1↓, CDK2↓, CDC25↓, mtDam↑, BAX↑, cl‑PARP↑, Casp3↑, Casp8↑, Casp9↑, Snail↓, Slug↓, MMP9↓, selectivity↑, MMP↓, ROS∅, TumCMig↓, TumCI↓,
9175- BITC,  PEITC,  AITC,    Isothiocyanates in medicine: A comprehensive review on phenylethyl-, allyl-, and benzyl-isothiocyanates
- Review, Nor, NA
*Inflam↓, *antiOx↑, *AntiBio↑, *BioAv↝, *BioAv↑, *TNF-α↓, *IL10↓, *antiAll↑, *NRF2↑, *SOD↑, *GPx↑, *HO-1↑, *NQO1↑, *GSH↑, *GSTs↑, *hepatoP↑, *MDA↓, *Catalase↑, *ROS↓, *ROS⇅, *ROS↑, *IP-10/CXCL-10↓, *CD40↓, STAT1↓, iNOS↓, STAT3↓, IL6↓, *MPO↓, Casp3↑, Casp8↑, Casp9↑, mtDam↑, compIV↓, Cyt‑c↑, SDH↓, AIF↑, p‑Akt↓, PTEN↑, MMP2↓, MMP9↓, TumCCA↑, CDK1↓, CDC25↓, *eff↑, *toxicity↝, *eff↑, *eff↑, EMT↓, *AntiAg↑,
5668- BNL,    Anticancer effect of borneol: Mechanistic insights through literature review and in silico studies
- Review, Var, NA
AntiCan↑, Apoptosis↑, mtDam↑, ROS↑, mTORC1↓, EIF4E↓, Hif1a↓, NF-kB↓, STAT3↓, PI3K↓, Akt↓, ChemoSen↑, BioEnh↑, BioAv↑, BBB↑, toxicity↝,
6545- BSB,    The antineoplastic agent α-bisabolol promotes cell death by inducing pores in mitochondria and lysosomes
- in-vitro, Cerv, HeLa - in-vitro, AML, Jurkat
MPT↑, Casp↑, TumAuto↑, Apoptosis↑, TumCD↑, Dose↝, MMP↓, ROS↑, mtDam↑,
5739- Buty,    Butyrate as a promising therapeutic target in cancer: From pathogenesis to clinic (Review)
- Review, Var, NA
GutMicro↑, *Inflam↓, *IL6↓, *TNF-α↓, *IL17↓, *IL10↑, *ROS↝, COX2/PTGS2↓, NLRP3↓, Imm↑, HDAC↓, TumCCA↑, Apoptosis↑, ROS↑, Casp↑, mtDam↑, Cyt‑c↑, eff↑, chemoP↑, ChemoSen↑, Synergy↑, RadioS↑, HCAR2↑,
5826- CAP,    Capsaicin induces mitochondrial dysfunction and apoptosis in anaplastic thyroid carcinoma cells via TRPV1-mediated mitochondrial calcium overload
- in-vitro, Thyroid, NA
TRPV1↑, tumCV↓, Ca+2↑, mtDam↑, ROS↑, MMP↓, MPT↑, Cyt‑c↑, Casp↑, Apoptosis↑,
5861- CAP,    Anticancer Properties of Capsaicin Against Human Cancer
- Review, Var, NA
*antiOx↑, *Inflam↓, *Obesity↓, chemoPv↑, Apoptosis↑, selectivity↑, TRPV1↑, Ca+2↑, mtDam↑, Cyt‑c↑, P53↑, SIRT1↓, TumCCA↑, P21↑, CDK4↓, CDK6↓, cycE/CCNE↓, angioG↓, TumMeta↓,
8699- CAP,    Antitumor effects of plasma‑activated solution on a murine melanoma model in vivo and in vitro
- vitro+vivo, Melanoma, A375
AntiTum↑, ROS↑, mtDam↑, DNAdam↑, toxicity↓, Dose↝,
8698- CAP,    Cold atmospheric plasma as a novel “drug” for cancer therapy
- Review, Var, NA
AntiTum↓, ChemoSen↑, selectivity↑, ROS↑, Synergy↑, mtDam↑, DNAdam↑, Cyt‑c↑, PARP↑, cl‑Casp3↑, BAX↑, Bcl-2↓, Ki-67↓, Ca+2↑, ER Stress↑, Synergy↑, TumCI↓, TumCCA↑, MAPK↓, Synergy↑,
2394- CAP,    Capsaicin acts as a novel NRF2 agonist to suppress ethanol induced gastric mucosa oxidative damage by directly disrupting the KEAP1-NRF2 interaction
- in-vitro, Nor, GES-1
*mtDam↓, *NRF2↑, *HO-1↑, *Trx↑, *GSS↑, *NQO1↑, *Keap1↓, *ROS↓, *PKM2↓, *LDHA↓, *Inflam↓,
5910- CAR,    Oregano Phytocomplex Induces Programmed Cell Death in Melanoma Lines via Mitochondria and DNA Damage
- in-vitro, Melanoma, B16-F10 - NA, NA, A375
ROS↑, TumCP↓, Apoptosis↑, Necroptosis↑, mtDam↑, DNAdam↑, selectivity↑, Dose↝, MPT↓,
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↑,
5948- Cela,    Recent Trends in anti-tumor mechanisms and molecular targets of celastrol
- Review, Var, NA
TumCP↓, TumCCA↑, Apoptosis↑, TumAuto↑, TumCI↓, TumMeta↓, Imm↝, angioG↓, Cyt‑c↑, ROS↑, BAX↑, Casp3↑, Casp9↑, cl‑PARP↑, PrxII↓, ER Stress↑, mtDam↑, CHOP/DDIT3↑, Inflam↓, NF-kB↓, CXCR4↓, MMP9↓, IL6↓, TNF-α↓, HSP90↓, neuroP↑, STAT3↓, Prx↓, HO-1↑, eff↑, eff↑, BioAv↑, toxicity↑, CardioT↑, hepatoP↓,
6638- Cen,    Prolonged Treatment with Centella asiatica Improves Memory, Reduces Amyloid-β Pathology, and Activates NRF2-Regulated Antioxidant Response Pathway in 5xFAD Mice
- in-vivo, AD, NA
*memory↑, *Aβ↓, *NRF2↑, *toxicity↓, *neuroP↑, *ROS↓, *mtDam↓, *cognitive↑, NQO1↑, HO-1↑,
6639- Cen,    Centella asiatica Alters Metabolic Pathways Associated With Alzheimer’s Disease in the 5xFAD Mouse Model of ß-Amyloid Accumulation
- in-vivo, AD, NA
*cognitive↑, *mtDam↓, *ROS↓, *NAD↑, *BDNF↑, *memory↑,
6655- Cen,    Centella asiatica improves cognitive function and alters the hippocampal metabolome of aged Tg2576 and wild-type mice
- in-vivo, AD, NA
*cognitive↑, *Dose↝, *memory↑, *AChE∅, *mtDam↓, *antiOx↑,
6002- CGA,    Chlorogenic Acid: A Systematic Review on the Biological Functions, Mechanistic Actions, and Therapeutic Potentials
- Review, Var, NA - Review, Diabetic, NA - Review, AD, NA - Review, Park, NA - Review, Stroke, NA
*neuroP↑, *Inflam↓, *antiOx↑, *cardioP↑, *NRF2↑, *AMPK↑, *SOD↑, *Catalase↑, *GSH↑, *GPx↑, *ROS↓, *TNF-α↓, *IL6↓, *NF-kB↓, *COX2/PTGS2↓, *glucose↓, *TRPC1↓, *Ca+2↓, *HO-1↑, *NF-kB↓, *PPARα↝, *Hif1a↓, *JNK↓, *BP↓, *AntiDiabetic↑, *hepatoP↑, *TLR4↓, *NRF2↑, *Casp↓, *neuroP↑, *Aβ↓, *LDH↓, *MDA↓, *memory↑, *AChE↓, *Stroke↓, EMT↝, N-cadherin↓, E-cadherin↑, TumCCA↑, ROS↑, p‑P53↑, HO-1↑, NRF2↑, ChemoSen↑, mtDam↑, Casp3↑, Casp9↑, PARP↑, Bax:Bcl2↑, TumCG↓, cycD1/CCND1↓, cMyc↓, CDK2↓, mitResp↓, Glycolysis↓, Hif1a↓, PCNA↓, p‑GSK‐3β↓, VEGF↓, PI3K↓, Akt↓, mTOR↓, OS↑,
6012- CGA,    Chlorogenic Acid as a Potential Therapeutic Agent for Cholangiocarcinoma
- in-vitro, CCA, HCC9810
TumCP↓, TumCMig↓, TumCI↓, EMT↓, Apoptosis↑, TumCCA↑, AKR1B10↓, Akt↓, mtDam↑, BAX↑, Casp9↑, Casp3↑, Bcl-2↓,
7173- CHA,    Natural compound chaetocin induced DNA damage and apoptosis through reactive oxygen species-dependent pathways in A549 lung cancer cells and in vitro evaluations
- in-vitro, Lung, A549
TumCG↓, TumCCA↑, ROS↑, DNAdam↑, CD47↓, *toxicity↓, MMP↓, Casp3↑, mtDam↓,
4482- Chit,    Hyaluronic acid-coated chitosan nanoparticles induce ROS-mediated tumor cell apoptosis and enhance antitumor efficiency by targeted drug delivery via CD44
- in-vitro, Lung, A549 - in-vitro, Liver, HepG2
EPR↑, mtDam↑, ROS↑, Apoptosis↑,

Showing Research Papers: 1 to 50 of 201
Page 1 of 5 Next

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 201

Pathway results for Effect on Cancer / Diseased Cells:


NA, unassigned(tgid=0) ⓘ

NA↓, 1,   NA↑, 1,  

Redox & Oxidative Stress(tgid=1) ⓘ

antiOx↓, 1,   antiOx↑, 1,   ARE↓, 1,   Catalase↓, 2,   Catalase↑, 2,   Fenton↑, 3,   GPx↓, 4,   GPx↑, 1,   GPx4↓, 5,   GSH↓, 17,   GSH↑, 1,   GSH⇅, 1,   GSH/GSSG↓, 3,   GSSG↑, 1,   H2O2↑, 4,   i-H2O2↑, 1,   mt-H2O2↑, 1,   HO-1↑, 4,   Iron↑, 7,   i-Iron↑, 1,   Keap1↓, 1,   Keap1↑, 1,   lipid-P↑, 11,   MDA↓, 1,   MDA↑, 4,   i-MDA↑, 1,   NADPH/NADP+↓, 1,   NQO1↑, 1,   NRF2↓, 3,   NRF2↑, 2,   Prx↓, 1,   PrxII↓, 1,   ROS?, 1,   ROS↓, 6,   ROS↑, 128,   ROS⇅, 1,   ROS∅, 1,   mt-ROS↑, 7,   SOD↓, 5,   SOD↑, 1,   mt-SOD↑, 1,   SOD1↓, 1,   SOD2↓, 1,   SOD2↑, 1,   Thiols↓, 1,   Trx↓, 1,   TrxR1↓, 2,   xCT/SLC7A11↓, 3,  

Metal & Cofactor Biology(tgid=2) ⓘ

FTH1↓, 1,   IronCh↑, 1,   NCOA4↑, 1,   SFXN2↓, 1,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

CDC2↓, 1,   CDC25↓, 6,   compI↓, 4,   compII↓, 2,   compIV↓, 1,   compV↓, 1,   ETC↓, 3,   HSP60/HSPD1↓, 1,   HTRA2/Omi/PARK13↑, 1,   MFN2↓, 1,   mitResp↓, 4,   mtDam?, 1,   mtDam↓, 3,   mtDam↑, 160,   OCR↓, 5,   OXPHOS↓, 1,   OXPHOS↝, 1,   mt-OXPHOS↓, 1,   PINK1↑, 4,   SDH↓, 2,   SSBP1↑, 1,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

ACLY↓, 1,   ALAT↓, 3,   AMP↑, 1,   AMPK↑, 7,   ATP↓, 23,   DHODH↓, 2,   GAPDH↓, 1,   glucose↓, 1,   GlucoseCon↓, 3,   Glycolysis↓, 13,   GSK‐3β↓, 1,   p‑GSK‐3β↓, 2,   HK2↓, 12,   lactateProd↓, 5,   LDHA↓, 2,   LDL↓, 1,   lipoGen↓, 1,   NADPH↓, 2,   PDK1 / PDPK1↓, 1,   PFK↓, 1,   PFKP↓, 2,   PKM2↓, 3,   PKM2↑, 2,   Pyruv↓, 1,   SIRT1↓, 1,   Warburg↓, 1,  

Cell Death(tgid=5) ⓘ

AIF↑, 3,   APAF1↑, 1,   Apoptosis?, 2,   Apoptosis↓, 2,   Apoptosis↑, 86,   mt-Apoptosis↑, 2,   BAD↑, 3,   Bak↑, 2,   BAX↓, 3,   BAX↑, 27,   Bax:Bcl2↑, 8,   Bcl-2↓, 26,   Bcl-xL↓, 7,   BID↑, 2,   cl‑BID↑, 2,   BIM↑, 1,   BNIP3↝, 1,   BOK↑, 1,   Casp↓, 1,   Casp↑, 14,   Casp1↑, 1,   Casp12↑, 1,   cl‑Casp12↑, 1,   cl‑Casp12↝, 1,   Casp3↓, 1,   Casp3↑, 44,   cl‑Casp3↑, 12,   proCasp3↓, 1,   Casp6↑, 1,   Casp7↑, 4,   Casp8↑, 8,   cl‑Casp8↑, 1,   Casp9↑, 28,   cl‑Casp9↑, 4,   CellShr↑, 1,   Cupro↑, 1,   Cyt‑c↓, 1,   Cyt‑c↑, 33,   mt-Cyt‑c↓, 1,   Diablo↑, 2,   DR5↑, 5,   FADD↑, 2,   Fas↓, 1,   Fas↑, 6,   FasL↑, 1,   Ferroptosis↑, 9,   GranB/GZMB↝, 1,   GSDME-N↑, 1,   IAP1↓, 2,   ICD↑, 2,   iNOS↓, 2,   iNOS↑, 1,   Mcl-1↓, 3,   MDM2↓, 3,   MLKL↑, 1,   MOMP↑, 2,   NAIP↓, 1,   Necroptosis↑, 2,   necrosis↑, 3,   NOXA↑, 2,   p38↓, 1,   p38↑, 1,   p‑p38↑, 1,   Paraptosis↑, 1,   Perforin↝, 1,   PUMA↓, 1,   PUMA↑, 2,   Pyro↑, 3,   RIP3↑, 1,   p‑RIP3↑, 1,   survivin↓, 5,   TNFR 1↑, 1,   TumCD↑, 13,   XIAP↓, 2,   YAP/TEAD↓, 3,  

Kinase & Signal Transduction(tgid=6) ⓘ

Akt↓, 28,   Akt↑, 1,   p‑Akt↓, 8,   AKT1↓, 1,   Akt2↓, 1,   CaMKII ↓, 1,   CK2↓, 1,   p‑cMET↑, 1,   EGFR↓, 5,   ERK↓, 4,   ERK↑, 1,   p‑ERK↓, 1,   p‑ERK↑, 2,   FGFR1↓, 2,   FGFR2↓, 1,   HCAR2↑, 1,   HER2/EBBR2↓, 1,   Hippo↝, 1,   IGFR↓, 1,   JAK↓, 2,   JAK2↓, 2,   JNK↑, 2,   p‑JNK↑, 2,   MAPK↓, 5,   MAPK↑, 5,   mTOR↓, 15,   p‑mTOR↓, 5,   P70S6K↓, 1,   PDGFR-BB↑, 1,   PI3K↓, 18,   p‑PI3K↓, 1,   PI3K/Akt↓, 1,   PI3k/Akt/mTOR↓, 1,   PKA↓, 1,   PKCδ↓, 1,   PP2A↑, 1,   PRAS40↑, 1,   PTEN↑, 6,   p‑PTEN↓, 1,   RAS↓, 1,   p‑S6K↓, 1,   Sp1/3/4↓, 2,   STAT↓, 1,   STAT3↓, 15,   STAT3↑, 1,   p‑STAT3↓, 2,   THEM4/CTMP↑, 1,   TSC2↑, 1,  

Transcription & Epigenetics(tgid=7) ⓘ

ATF4↑, 5,   p‑ATF4↝, 1,   cJun↓, 1,   cMyc↓, 4,   DNMT3B↓, 1,   EZH2↓, 1,   FOXM1↓, 1,   FOXO↓, 1,   FOXO1↓, 1,   FOXO3↓, 2,   FOXO4↓, 1,   HDAC↓, 3,   HDAC8↓, 1,   miR-34a↑, 2,   MTA2↓, 1,   Myc↓, 1,   OCT4↓, 4,   other↝, 9,   PAX2↓, 1,   SOX2↓, 3,   SOX4↓, 2,   TCF-4↓, 1,   tumCV?, 1,   tumCV↓, 27,  

Protein Folding & ER Stress(tgid=8) ⓘ

ATF6↑, 1,   CHOP/DDIT3↑, 9,   p‑CHOP/DDIT3↝, 1,   CUL1↝, 1,   CUL5↝, 1,   eIF2α↓, 1,   eIF2α↑, 2,   p‑eIF2α↝, 1,   ER Stress↑, 28,   GRP78/BiP↑, 3,   HSF1↓, 1,   HSP90↓, 2,   IRE1↑, 1,   PERK↑, 3,   p‑PERK↝, 1,   UPR↑, 2,  

Autophagy & Lysosomes(tgid=9) ⓘ

ATG13↑, 1,   ATG16L1↑, 1,   ATG3↑, 1,   ATG5↑, 2,   ATG7↑, 2,   autolysosome↑, 1,   Beclin-1/ATG6↓, 1,   Beclin-1/ATG6↑, 7,   LC3‑Ⅱ/LC3‑Ⅰ↓, 1,   LC3‑Ⅱ/LC3‑Ⅰ↑, 5,   LC3A↑, 1,   LC3B↑, 1,   LC3II↓, 1,   LC3II↑, 5,   LC3s↑, 2,   MitoP↓, 1,   MitoP↑, 4,   p62↓, 3,   p62↑, 3,   p‑p62↑, 1,   PARK2↑, 4,   RUBCN↓, 1,   TumAuto↓, 2,   TumAuto↑, 24,   mt-TumAuto↑, 1,   ULK1/ATG1↑, 1,  

DNA Damage & Repair(tgid=10) ⓘ

ATR↑, 1,   DNAdam↑, 20,   hTERT/TERT↓, 4,   P53↑, 18,   P53↝, 1,   p‑P53↑, 3,   PARP↓, 2,   PARP↑, 3,   cl‑PARP↑, 15,   PCNA↓, 2,   Telomerase↓, 1,   TOP1↓, 2,   TOP2↓, 1,   TP53↓, 1,   γH2AX↑, 1,   p‑γH2AX↑, 1,  

Cell Cycle & Senescence(tgid=11) ⓘ

CC(CDKs/cyclins)↓, 1,   CDK1↓, 2,   CDK2↓, 7,   CDK4↓, 11,   CDK6↓, 4,   CDKN1C/p57↓, 1,   ChrCon↑, 1,   cycA1/CCNA1↓, 1,   CycB/CCNB1↓, 3,   cycD1/CCND1↓, 13,   cycE/CCNE↓, 3,   GADD45A↑, 1,   Ki-67↓, 5,   P21↓, 2,   P21↑, 12,   p27/CDKN1B↓, 1,   p27/CDKN1B↑, 2,   TumCCA↑, 52,  

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

4E-BP1↓, 1,   ALDH↓, 3,   CD133↓, 1,   CD24↓, 1,   cFos↓, 1,   CSCs↓, 8,   CSCs↑, 1,   Diff↑, 1,   EIF4E↓, 2,   FGF↓, 1,   Gli1↓, 1,   HH↓, 2,   Ki-67↓, 5,   Let-7↑, 1,   mTORC1↓, 1,   Nanog↓, 5,   NOTCH1↓, 1,   PTCH1↓, 1,   Shh↓, 1,   STAT1↓, 2,   TumCG↓, 30,   TumCG↑, 1,   TumCP↓, 43,   TumCP↑, 1,   tyrosinase↓, 1,   Wnt↓, 6,  

Migration(tgid=13) ⓘ

Alix/AIP‑1↓, 2,   AP-1↓, 2,   BACH1↑, 1,   Ca+2↓, 2,   Ca+2↑, 17,   Ca+2↝, 1,   i-Ca+2↑, 2,   cal2↑, 1,   COL1↓, 1,   E-cadherin↓, 2,   E-cadherin↑, 11,   EMT↓, 16,   EMT↝, 1,   FAK↓, 2,   p‑FAK↑, 1,   Fibronectin↓, 1,   MMP-10↓, 1,   MMP2↓, 8,   MMP3↓, 2,   MMP7↓, 1,   MMP9↓, 10,   MMPs↓, 2,   N-cadherin↓, 7,   PAK1↓, 1,   PDGF↓, 1,   Slug↓, 2,   Smad1↓, 1,   Snail↓, 5,   TGF-β↓, 1,   TGF-β1↓, 1,   TIMP1↓, 1,   TIMP1↑, 1,   TIMP2↓, 1,   TSC1↑, 1,   TumCA↓, 1,   TumCA↑, 1,   TumCI↓, 16,   TumCMig↓, 20,   TumMeta↓, 10,   TumPF↓, 1,   Twist↓, 2,   uPA↓, 3,   uPAR↓, 1,   Vim↓, 8,   Zeb1↓, 4,   β-catenin/ZEB1↓, 5,  

Angiogenesis & Vasculature(tgid=14) ⓘ

angioG↓, 20,   CD31/PECAM-1↓, 1,   eNOS↑, 1,   Hif1a↓, 8,   Hif1a↑, 1,   Hypoxia↓, 1,   NO↓, 1,   NO↑, 3,   VCAM-1↓, 2,   VEGF↓, 13,   VEGFR1↓, 1,   VEGFR2/KDR/Flk1↓, 2,  

Barriers & Transport(tgid=15) ⓘ

BBB↑, 2,   BBB∅, 1,   CellMemb↓, 1,   CellMemb↑, 1,   CLDN1↓, 1,   CX43/GJA1↓, 1,   EPR↑, 1,   GLUT1↓, 2,   GLUT4↓, 1,   MMP?, 1,   MMP↓, 53,   MMP↑, 2,   MMP↝, 1,   MPT↓, 1,   MPT↑, 8,   TRPV1↑, 2,   TRPV2↑, 1,   ZO-1↑, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

CD4+↑, 1,   CD44↓, 3,   CD47↓, 1,   CD8+↑, 2,   cGAS–STING↑, 2,   COX2/PTGS2↓, 11,   CXCR4↓, 1,   DR4↑, 2,   Eos↑, 1,   HCAR2↑, 1,   HLA-I/II↑, 1,   HMGB1↓, 1,   ICAM-1↓, 3,   IL1↓, 1,   IL10↓, 2,   IL10↑, 1,   IL17↓, 1,   IL1β↓, 2,   IL2↑, 1,   IL4↓, 1,   IL6↓, 9,   IL8↓, 2,   Imm↑, 9,   Imm↝, 2,   Inflam↓, 6,   IRAK1↓, 1,   pol-M1↑, 1,   M2 MC↓, 1,   MCP1/CCL2↓, 3,   MIP2↓, 1,   Neut↑, 1,   NF-kB↓, 21,   NF-kB↑, 2,   NK cell↑, 2,   NLRP3↓, 2,   p65↓, 2,   PD-L1↓, 2,   PD-L1↑, 1,   PGE2↓, 2,   PSA↓, 2,   TCF↓, 2,   Th1 response↑, 1,   Th17↑, 1,   TLR4↓, 3,   TNF-α↓, 5,   TNF-α↑, 2,   TNFRSF25/DR3/APO3/LARD/TRAMP/WSL1↑, 1,   TRADD↑, 1,  

Cellular Microenvironment(tgid=17) ⓘ

e-pH↑, 1,  

Hormonal & Nuclear Receptors(tgid=20) ⓘ

AhR↓, 1,   AR↓, 1,   AR↑, 1,   PPARγ↓, 1,   RANKL↓, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

ABC↓, 1,   ABCG2↓, 1,   AKR1B10↓, 1,   BioAv↓, 8,   BioAv↑, 5,   BioAv↝, 3,   BioEnh↑, 2,   ChemoSen↓, 1,   ChemoSen↑, 35,   Dose?, 2,   Dose↑, 1,   Dose↝, 25,   Dose∅, 4,   eff↓, 28,   eff↑, 32,   eff↝, 2,   eff∅, 1,   Half-Life↝, 3,   MDR1↓, 3,   MRP1/ABCC1↓, 1,   P-gp/ABCB1↓, 2,   RadioS↑, 6,   selectivity?, 1,   selectivity↓, 1,   selectivity↑, 39,   Synergy?, 1,   Synergy↑, 16,  

Clinical Biomarkers(tgid=22) ⓘ

ALAT↓, 3,   ALP↓, 1,   AR↓, 1,   AR↑, 1,   AST↓, 3,   EGFR↓, 5,   EZH2↓, 1,   FOXM1↓, 1,   HER2/EBBR2↓, 1,   hTERT/TERT↓, 4,   IL6↓, 9,   LDH↓, 8,   LDH↑, 2,   LDH↝, 1,   Myc↓, 1,   PD-L1↓, 2,   PD-L1↑, 1,   PSA↓, 2,   TP53↓, 1,   Tumccf↓, 1,  

Functional Outcomes(tgid=23) ⓘ

AntiCan↑, 10,   antiNeop↑, 1,   AntiTum↓, 1,   AntiTum↑, 9,   cachexia↓, 1,   CardioT↑, 1,   chemoP↑, 7,   chemoPv↑, 4,   ChemoSideEff↓, 1,   fatigue∅, 1,   hepatoP↓, 1,   hepatoP↑, 1,   neuroP↑, 1,   OS↑, 6,   QoL∅, 1,   radioP↑, 1,   RenoP↑, 1,   Risk↓, 1,   toxicity↓, 4,   toxicity↑, 3,   toxicity↝, 4,   TumVol↓, 3,   TumW↓, 1,   Weight↑, 1,  

Infection & Microbiome(tgid=24) ⓘ

GutMicro↑, 2,  

Ingredients & Constituents(tgid=25) ⓘ

Ingr↝, 6,  
Total Targets: 553

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

antiOx↓, 3,   antiOx↑, 20,   ARE↑, 2,   Catalase↑, 13,   GPx↑, 7,   GPx4↑, 3,   GSH↑, 11,   GSH/GSSG↑, 1,   GSS↑, 1,   GSTs↑, 2,   H2O2↓, 1,   HO-1↑, 15,   Iron↓, 1,   i-Iron↓, 2,   Keap1↓, 2,   lipid-P↓, 14,   MDA↓, 12,   MPO↓, 3,   NQO1↑, 5,   Nrf1↑, 1,   NRF2↓, 1,   NRF2↑, 31,   Prx↓, 1,   ROS↓, 47,   ROS↑, 1,   ROS⇅, 2,   ROS↝, 1,   mt-ROS↓, 2,   SOD↑, 18,   SOD1↑, 1,   SOD2↑, 1,   TAC↑, 3,   TBARS↓, 2,   Trx↑, 1,   xCT/SLC7A11↑, 3,  

Metal & Cofactor Biology(tgid=2) ⓘ

IronCh↑, 1,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

DRP1/DNM1L↓, 5,   DRP1/DNM1L↑, 1,   FIS1↓, 6,   MFN1↓, 1,   MFN1↑, 2,   MFN2↓, 1,   MFN2↑, 4,   mtDam↓, 37,   mtDam↑, 1,   OCR↓, 1,   OPA1↓, 1,   OPA1↑, 2,   PGC-1α↑, 3,   SIRT3↑, 1,   TFAM↑, 2,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

ACSL4↓, 2,   ALAT↓, 3,   AMPK↑, 7,   ATP↑, 3,   ATP∅, 1,   CRM↑, 2,   glucose↓, 1,   GSK‐3β↓, 4,   LDHA↓, 1,   LDHA↑, 1,   LDL↓, 1,   NAD↑, 1,   NADPH↑, 2,   PKM2↓, 1,   SIRT1↑, 5,  

Cell Death(tgid=5) ⓘ

AIF↓, 2,   Apoptosis↓, 13,   ASC↓, 1,   BAX↓, 6,   Bax:Bcl2↓, 1,   Bcl-2↓, 1,   Bcl-2↑, 5,   Casp↓, 1,   cl‑Casp1↓, 1,   Casp3↓, 3,   cl‑Casp3↓, 3,   Casp9↓, 1,   cl‑Casp9↓, 1,   Cyt‑c↓, 3,   Ferroptosis↓, 5,   GSDMD↓, 1,   iNOS↓, 3,   p38↓, 1,   p38↑, 1,   p‑p38↓, 1,   Pyro↓, 1,  

Kinase & Signal Transduction(tgid=6) ⓘ

Akt↑, 1,   Akt↝, 1,   CaMKII ↓, 1,   CREB↑, 1,   p‑CREB↑, 1,   JNK↓, 3,   p‑JNK↓, 1,   MAPK↓, 1,   MAPK↝, 1,   mTOR↑, 1,   PI3K↑, 1,   STAT3↝, 1,  

Transcription & Epigenetics(tgid=7) ⓘ

AntiThr↑, 2,   p‑cJun↓, 1,   FOXO↑, 1,   FOXO3↑, 1,   other↑, 1,  

Protein Folding & ER Stress(tgid=8) ⓘ

CHOP/DDIT3↓, 1,   ER Stress↓, 6,   GRP78/BiP↓, 3,   HSP70/HSPA5↑, 1,   IRE1↓, 1,  

Autophagy & Lysosomes(tgid=9) ⓘ

Beclin-1/ATG6↓, 1,   LC3‑Ⅱ/LC3‑Ⅰ↓, 1,   MitoP↑, 1,  

DNA Damage & Repair(tgid=10) ⓘ

DNAdam↓, 2,  

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

Diff↑, 1,   IGF-1↓, 1,   neuroG↑, 1,  

Migration(tgid=13) ⓘ

AntiAg↑, 3,   Ca+2↓, 4,   Ca+2↝, 1,   MMP9↓, 1,   MMPs↓, 1,   TGF-β↓, 1,   TGF-β↑, 1,   Vim↓, 1,  

Angiogenesis & Vasculature(tgid=14) ⓘ

CD31/PECAM-1↑, 1,   p‑eNOS↑, 1,   Hif1a↓, 1,   Hif1a↑, 1,   NO↓, 5,  

Barriers & Transport(tgid=15) ⓘ

BBB↑, 1,   BBB∅, 2,   GastroP↑, 1,   MMP↓, 2,   MMP↑, 4,   TJ↑, 1,   TRPC1↓, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

CB2 / CNR2↑, 1,   CD40↓, 1,   COX2/PTGS2↓, 6,   ICAM-1↓, 1,   IL10↓, 2,   IL10↑, 2,   IL17↓, 1,   IL18↓, 1,   IL1β↓, 7,   IL6↓, 7,   Inflam↓, 30,   IP-10/CXCL-10↓, 1,   NeuroI↓, 4,   NF-kB↓, 11,   NK cell↑, 1,   NLRP3↓, 5,   p65↓, 1,   PGE2↓, 1,   RAGE↓, 2,   SOCS-3↓, 1,   TLR4↓, 1,   TNF-α↓, 12,  

Cellular Microenvironment(tgid=17) ⓘ

GFAP↓, 2,  

Synaptic & Neurotransmission(tgid=18) ⓘ

Ach↑, 1,   AChE↓, 3,   AChE∅, 1,   BDNF↑, 6,   BDNF∅, 1,   ChAT↑, 1,   PSD95↑, 3,   RELN↑, 1,   SNAP25↑, 2,  

Protein Aggregation(tgid=19) ⓘ

APP↓, 3,   Aβ↓, 8,   Aβ42↓, 1,   BACE/β-secretase↓, 5,   IDE↑, 1,   PSEN1/PS1↓, 1,   p‑tau↓, 3,  

Hormonal & Nuclear Receptors(tgid=20) ⓘ

AHR↓, 1,   ER(estro)↓, 1,   PPARα↝, 1,   PPARγ↑, 1,   RAAS↓, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↓, 10,   BioAv↑, 5,   BioAv↝, 5,   CYP1A1↑, 1,   CYP1A2↑, 1,   CYP2E1↓, 1,   Dose↓, 1,   Dose↝, 5,   eff↓, 2,   eff↑, 9,   Half-Life↝, 1,   Synergy↑, 4,  

Clinical Biomarkers(tgid=22) ⓘ

ALAT↓, 3,   AST↓, 2,   BG↓, 1,   BloodF↑, 1,   BMD↑, 1,   BP↓, 2,   BP∅, 1,   BUN↓, 1,   creat↓, 3,   IL6↓, 7,   LDH↓, 2,   LDH↑, 1,   NOS2↓, 1,   RAGE↓, 2,   Urea↓, 2,  

Functional Outcomes(tgid=23) ⓘ

AntiAge↑, 1,   antiAll↑, 3,   AntiArt↑, 1,   AntiCan↓, 1,   AntiCan↑, 1,   AntiDiabetic↑, 4,   AntiTum↑, 1,   cardioP↑, 12,   chemoP↑, 2,   cognitive↑, 17,   hepatoP↑, 11,   Learn↑, 4,   memory↑, 15,   motorD↑, 1,   neuroP↓, 1,   neuroP↑, 24,   NP/CIPN↓, 1,   Obesity↓, 2,   OS↑, 1,   RenoP↑, 3,   Sleep↑, 1,   Stress↓, 1,   Stroke↓, 5,   Stroke↝, 1,   toxicity↓, 15,   toxicity↑, 1,   toxicity↝, 2,   Wound Healing↑, 1,  

Infection & Microbiome(tgid=24) ⓘ

AntiBio↑, 4,   AntiFungal↑, 1,   AntiP↑, 4,   AntiViral↑, 3,   Bacteria↓, 1,   GutMicro↑, 2,  
Total Targets: 241

Scientific Paper Hit Count for: mtDam, mitochondrial damage
14 Silver-NanoParticles
8 Ivermectin
6 Curcumin
6 Licochalcone A
5 Honokiol
5 Isobavachalcone
5 Luteolin
5 Propolis -bee glue
4 Phenethyl isothiocyanate
4 Resveratrol
4 EGCG (Epigallocatechin Gallate)
4 Lycopene
4 Selenite (Sodium)
3 3-bromopyruvate
3 Berberine
3 Betulinic acid
3 Capsaicin
3 Centella asiatica / Gotu kola → asiaticoside
3 Quercetin
3 Dandelion Root
3 Kaempferol
3 SonoDynamic Therapy UltraSound
3 Magnolol
3 Magnetic Fields
2 Allicin (mainly Garlic)
2 Apigenin (mainly Parsley)
2 NTP, Non-Thermal Plasma,Cold Atmospheric Plasma
2 Chlorogenic acid
2 chitosan
2 Chrysin
2 Copper and Cu NanoParticles
2 Ferulic acid
2 Diclofenac
2 Indole-3-carbinol
2 D-limonene
2 Electrical Pulses
2 Formononetin
2 Gallic acid
2 Gossypol/AT-101
2 Hydrogen Gas
2 doxorubicin
2 Hyperthermia
2 HydroxyTyrosol
2 Isoliquiritigenin
2 isoorientin
2 isoquercitrin
2 Linalool
2 Mangiferin
2 Melatonin
2 Phycocyanin
1 5-Aminolevulinic acid
1 Photodynamic Therapy
1 Astragalus
1 Glucose
1 entinostat
1 Alpha-Lipoic-Acid
1 Artemisinin
1 Ashwagandha(Withaferin A)
1 Berbamine
1 Radiotherapy/Radiation
1 Beta-Caryophyllene
1 bempedoic acid
1 Benzyl isothiocyanate
1 Allyl isothiocyanate
1 borneol
1 α-Bisabolol / Chamomile oil
1 Butyrate
1 Carvacrol
1 Cannabidiol
1 Celastrol
1 chaetocin
1 Cichoric acid / Chicoric acid
1 Cinnamon
1 Citric Acid
1 Crocetin
1 Cyclopamine
1 Cynaropicrin
1 Docosahexaenoic Acid
1 Dihydrocaffeic Acid
1 Diindolylmethane
1 Docetaxel
1 Disulfiram
1 Emodin
1 Fennel Oil/Foeniculum vulgare
1 Fisetin
1 Flaxseed Oil
1 Fucoidan
1 Gambogic Acid
1 Ginger/6-Shogaol/Gingerol
1 Graviola
1 Hibiscus sabdariffa
1 Hyperoside
1 Inulin Prebiotic
1 Isorhamnetin
1 Lapatinib
1 Cisplatin
1 Methylene blue
1 Matrine
1 Methyl Jasmonate
1 Magnetic Field Rotating
1 Morin
1 Mushroom Maitake
1 nicotinamide adenine dinucleotide
1 Bicarbonate(Sodium)
1 Nimbolide
1 Pachymic acid
1 Phenylbutyrate
1 Piperlongumine
1 Plumbagin
1 salinomycin
1 Sanguinarine
1 Selenium NanoParticles
1 Silymarin (Milk Thistle) silibinin
1 Shikonin
1 Spirulina(Arthrospira/Limnospira)
1 Selenium
1 Ursolic acid
1 Urolithin
1 Vitexin
1 Wogonin
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#:614  State#:%  Dir#:%
  wNotes=0  sortOrder:rid,rpid

 

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