Thymoquinone / p16 Cancer Research Results

TQ, Thymoquinone: Click to Expand ⟱
Features: Anti-oxidant, anti-tumor
Thymoquinone is a bioactive compound found in the seeds of Nigella sativa, commonly known as black seed or black cumin.
Pathways:
-Cell cycle arrest, apoptosis induction, ROS generation in cancer cells
-inhibit the activation of NF-κB, Suppress the PI3K/Akt signaling cascade
-Inhibit angiogenic factors such as VEGF, MMPs
-Inhibit HDACs, UHRF1, and DNMTs

-Note half-life 3-6hrs.
BioAv low oral bioavailability due to its lipophilic nature. Note refridgeration of Black seed oil improves the stability of TQ.
DIY: ~1 part lecithin : 2–3 parts black seed oil : 4–5 parts warm water. (chat ai)
Pathways:
- usually induce ROS production in Cancer cells, and lowers ROS in normal cells
- ROS↑ related: MMP↓(ΔΨm), ER Stress↑, GRP78↑, Cyt‑c↑, Caspases↑, DNA damage↑, cl-PARP↑, HSP↓, Prx,
- May Low AntiOxidant defense in Cancer Cells: NRF2↓(usually contrary), GSH↓ HO1↓(contrary), GPx↓
- Raises AntiOxidant defense in Normal Cells: ROS↓, NRF2↑, SOD↑, GSH↑, Catalase↑,
- lowers Inflammation : NF-kB↓, COX2↓, p38↓, Pro-Inflammatory Cytokines : NLRP3↓, IL-1β↓, TNF-α↓, IL-6↓, IL-8↓
- inhibit Growth/Metastases : TumMeta↓, TumCG↓, EMT↓, MMPs↓, MMP2↓, MMP9↓, VEGF↓, FAK↓, NF-κB↓, CXCR4↓, TGF-β↓, ERK↓
- reactivate genes thereby inhibiting cancer cell growth : HDAC↓, DNMTs↓, EZH2↓, P53↑, HSP↓, Sp proteins↓, TET↑
- cause Cell cycle arrest : TumCCA↑, cyclin D1↓, cyclin E↓, CDK2↓, CDK4↓, CDK6↓,
- inhibits Migration/Invasion : TumCMig↓, TumCI↓, TNF-α↓, FAK↓, ERK↓, EMT↓,
- inhibits glycolysis /Warburg Effect and ATP depletion : HIF-1α↓, PKM2↓, cMyc↓, GLUT1↓, LDH↓, LDHA↓, HK2↓, PDKs↓, GRP78↑, GlucoseCon↓
- inhibits angiogenesis↓ : VEGF↓, HIF-1α↓, Notch↓, EGFR↓, Integrins↓,
- Others: PI3K↓, AKT↓, JAK↓, STAT↓, Wnt↓, β-catenin↓, AMPK, α↓, ERK↓, JNK,
- Synergies: chemo-sensitization, chemoProtective, RadioSensitizer, RadioProtective, Others(review target notes), Neuroprotective, Cognitive, Renoprotection, Hepatoprotective, CardioProtective,

- Selectivity: Cancer Cells vs Normal Cells

Rank Pathway / Target Axis Direction Label Primary Effect Notes / Cancer Relevance Ref
1 Reactive oxygen species (ROS) ↑ ROS Driver Upstream cytotoxic trigger Primary studies show TQ rapidly increases ROS; antioxidant/ROS modulation attenuates downstream effects, supporting ROS as an initiating mechanism in multiple cancer contexts (ref)
2 Glutathione (GSH) redox buffering ↓ GSH Driver Redox-collapse amplification Same prostate cancer study reports early GSH depletion alongside ROS rise; together these form a redox “one-two punch” that helps explain selective stress in tumor cells (ref)
3 Mitochondrial integrity (ΔΨm) ↓ ΔΨm Driver Mitochondrial dysfunction (MOMP axis) Primary leukemia/cancer study reports disruption of mitochondrial membrane potential after TQ exposure (mitochondrial events central to TQ-mediated death) (ref)
4 Intrinsic apoptosis (caspase-9 → caspase-3; PARP) ↑ caspases / ↑ apoptosis Driver Execution-phase cell death Same primary paper reports activation of caspases (8/9/3) with mitochondrial involvement—core evidence for apoptosis as the major outcome pathway (ref)
5 NF-κB signaling ↓ NF-κB activity Secondary Reduced pro-survival / inflammatory transcription Colon cancer work: TQ induces cell death and chemosensitizes cells by inhibiting NF-κB signaling (explicit pathway-direction support) (ref)
6 STAT3 signaling ↓ p-STAT3 / ↓ STAT3 activation Secondary Reduced survival/proliferation signaling Gastric cancer study explicitly reports TQ suppresses constitutive STAT3 activation and related signaling readouts (ref)
7 NRF2 antioxidant-response axis (NRF2/HO-1 program) ↑ NRF2 pathway (often as stress-response) Adaptive Cellular antioxidant counter-response In TNBC context, a primary study reports TQ upregulates NRF2 (and evaluates downstream immune/checkpoint consequences), consistent with NRF2 acting as an adaptive response to redox stress (ref)
8 HIF-1α hypoxia signaling ↓ HIF-1α protein / ↓ HIF-1α program Adaptive Loss of hypoxia survival signaling Renal cancer hypoxia paper identifies TQ as suppressing HIF-1α and links this to selective killing under hypoxia (ref)
9 Glycolysis / Warburg output (hypoxia-linked) ↓ glycolysis (↓ HIF-1α–mediated glycolytic genes; ↓ glycolytic metabolism) Phenotypic Metabolic suppression In hypoxic renal cancer, TQ suppresses HIF-1α–mediated glycolysis; in CRC, TQ inhibits glycolytic metabolism alongside tumor growth limitation (ref)  |  (ref)


p16, protein 16: Click to Expand ⟱
Source:
Type: tumor suppressor protein
p16 is a protein that plays a crucial role in regulating the cell cycle and preventing cancer. It is a tumor suppressor protein that helps to prevent the uncontrolled growth of cells. p16 is a cyclin-dependent kinase inhibitor, which means that it helps to regulate the activity of certain enzymes (cyclin-dependent kinases) that drive the cell cycle forward. By inhibiting these enzymes, p16 helps to slow down or stop the cell cycle, giving the cell time to repair any DNA damage that may have occurred.
p16 has been shown to be inactivated in many types of cancer, including breast, lung, and colon cancer.
Scientific Papers found: Click to Expand⟱
3427- TQ,    Chemopreventive and Anticancer Effects of Thymoquinone: Cellular and Molecular Targets
ROS⇅, Fas↑, DR5↑, TRAIL↑, Casp3↑, Casp8↑, Casp9↑, P53↑, mTOR↓, Bcl-2↓, BID↓, CXCR4↓, JNK↑, p38↑, MAPK↑, LC3II↑, ATG7↑, Beclin-1↑, 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↓, 5LO↓, AP-1↓, PI3K↓, Akt↓, cMET↓, VEGFR2↓, 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↑, P21↑, ChemoSen↑,
2108- TQ,    Anti-cancer properties and mechanisms of action of thymoquinone, the major active ingredient of Nigella sativa
- Review, Var, NA
HDAC↓, TumCCA↑, cycD1/CCND1↓, p16↑, P53↑, Bax:Bcl2↑, Bcl-xL↓, NF-kB↓, IAP1↓, IAP2↓, XIAP↓, survivin↓, COX2↓, cMyc↓, ROS↑, Casp3↑, cl‑PARP↑, Cyt‑c↑, STAT3↓,

Showing Research Papers: 1 to 2 of 2

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 2

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress ⓘ

ROS↑, 1,   ROS⇅, 1,  

Mitochondria & Bioenergetics ⓘ

CDC2↓, 1,   CDC25↓, 1,   XIAP↓, 2,  

Core Metabolism/Glycolysis ⓘ

AMPK↑, 1,   ATG7↑, 1,   cMyc↓, 1,   PPARγ↑, 1,  

Cell Death ⓘ

Akt↓, 1,   Bax:Bcl2↑, 1,   Bcl-2↓, 1,   Bcl-xL↓, 1,   BID↓, 1,   Casp3↑, 2,   Casp8↑, 1,   Casp9↑, 1,   Cyt‑c↑, 1,   DR5↑, 1,   Fas↑, 1,   IAP1↓, 1,   IAP2↓, 1,   iNOS↓, 1,   JNK↑, 1,   MAPK↑, 1,   Mcl-1↓, 1,   Myc↓, 1,   p27↑, 1,   p38↑, 1,   survivin↓, 2,   TRAIL↑, 1,  

Protein Folding & ER Stress ⓘ

eIF2α↓, 1,  

Autophagy & Lysosomes ⓘ

Beclin-1↑, 1,   LC3II↑, 1,  

DNA Damage & Repair ⓘ

CYP1B1↑, 1,   DNMT1↓, 1,   p16↑, 2,   P53↑, 2,   cl‑PARP↑, 1,   UHRF1↓, 1,  

Cell Cycle & Senescence ⓘ

CDK2↓, 1,   CDK4↓, 1,   cycA1/CCNA1↓, 1,   cycD1/CCND1↓, 2,   E2Fs↓, 1,   P21↑, 1,   TumCCA↑, 1,  

Proliferation, Differentiation & Cell State ⓘ

cMET↓, 1,   ERK↓, 1,   FOXO↑, 1,   GSK‐3β↓, 1,   HDAC↓, 1,   HDAC1↓, 1,   mTOR↓, 1,   NOTCH↓, 1,   P70S6K↓, 1,   PI3K↓, 1,   STAT3↓, 2,   Wnt↓, 1,  

Migration ⓘ

5LO↓, 1,   AP-1↓, 1,   DLC1↑, 1,   ITGA5↓, 1,   MMP2↓, 1,   MMP7↓, 1,   MMP9↓, 1,   N-cadherin↓, 1,   Slug↓, 1,   Snail↓, 1,   Twist↓, 1,   Vim↓, 1,   Zeb1↓, 1,   β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature ⓘ

VEGF↓, 1,   VEGFR2↓, 1,  

Immune & Inflammatory Signaling ⓘ

COX2↓, 2,   CXCL1↓, 1,   CXCR4↓, 1,   IL1↓, 1,   IL10↓, 1,   IL12↓, 1,   IL2↑, 1,   IL6↓, 1,   JAK2↓, 1,   NF-kB↓, 2,   p65↓, 1,   TNF-α↓, 1,  

Hormonal & Nuclear Receptors ⓘ

CDK6↓, 1,  

Drug Metabolism & Resistance ⓘ

ChemoSen↑, 1,   TET2↑, 1,  

Clinical Biomarkers ⓘ

IL6↓, 1,   Myc↓, 1,  
Total Targets: 92

Pathway results for Effect on Normal Cells:


Total Targets: 0

Scientific Paper Hit Count for: p16, protein 16
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#:162  Target#:727  State#:%  Dir#:2
  wNotes=0  sortOrder:rid,rpid

 

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