HDAC Cancer Research Results

HDAC, Histone deacetylases: Click to Expand ⟱
Source:
Type:
Enzymes involved in regulating gene expression by removing acetyl groups from histones, the proteins around which DNA is wrapped.
-Many cancers exhibit altered expression levels of HDACs, which can contribute to the dysregulation of genes involved in cell growth, survival, and differentiation.
-HDACs can repress the expression of tumor suppressor genes, leading to uncontrolled cell proliferation and survival. This repression can be a key factor in the development and progression of cancer.
-HDAC inhibitors (HDACi) have been developed and are being investigated for their ability to reactivate silenced genes, induce cell cycle arrest, and promote apoptosis in cancer cells.
-HDAC1, HDAC2): Often overexpressed in various cancers, including breast, prostate, and colorectal cancers. Their overexpression is associated with poor prognosis.
-HDAC4, HDAC5): These may have both oncogenic and tumor-suppressive roles depending on the context and cancer type.
-While HDACs are not classified as traditional oncogenes, their overexpression and activity can contribute to oncogenic processes.
-HDAC inhibitor works by preventing the removal of acetyl groups from histones, thereby modulating gene expression, influencing cell behavior, and potentially reversing aberrant gene silencing seen in various diseases.
-HDAC inhibitors can help reactivate these genes, thereby inhibiting growth and inducing apoptosis in cancer cells.
Sepsis, Sepsis: Click to Expand ⟱
Sepsis is a potentially life-threatening condition that arises when the body's response to infection causes injury to its own tissues and organs. This initial stage of sepsis is followed by suppression of the immune system. Common signs and symptoms include fever, increased heart rate, increased breathing rate, and confusion.
Scientific Papers found: Click to Expand⟱
2868- HNK,    Honokiol: A review of its pharmacological potential and therapeutic insights
- Review, Var, NA - Review, Sepsis, NA
*P-gp↓, *ROS↓, *TNF-α↓, *IL10↓, *IL6↓, eIF2α↑, CHOP↑, GRP78/BiP↑, BAX↑, cl‑Casp9↑, p‑PERK↑, ER Stress↑, Apoptosis↑, MMPs↓, cFLIP↓, CXCR4↓, Twist↓, HDAC↓, BMPs↑, p‑STAT3↓, mTOR↓, EGFR↓, NF-kB↓, Shh↓, VEGF↓, tumCV↓, TumCMig↓, TumCI↓, ERK↓, Akt↓, Bcl-2↓, Nestin↓, CD133↓, p‑cMET↑, RAS↑, chemoP↑, *NRF2↑, *NADPH↓, *p‑Rac1↓, *ROS↓, *IKKα↑, *NF-kB↓, *COX2↓, *PGE2↓, *Casp3↓, *hepatoP↑, *antiOx↑, *GSH↑, *Catalase↑, *RenoP↑, *ALP↓, *AST↓, *ALAT↓, *neuroP↑, *cardioP↑, *HO-1↑, *Inflam↓,

Showing Research Papers: 1 to 1 of 1

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 1

Pathway results for Effect on Cancer / Diseased Cells:


Cell Death ⓘ

Akt↓, 1,   Apoptosis↑, 1,   BAX↑, 1,   Bcl-2↓, 1,   cl‑Casp9↑, 1,   cFLIP↓, 1,  

Transcription & Epigenetics ⓘ

tumCV↓, 1,  

Protein Folding & ER Stress ⓘ

CHOP↑, 1,   eIF2α↑, 1,   ER Stress↑, 1,   GRP78/BiP↑, 1,   p‑PERK↑, 1,  

Proliferation, Differentiation & Cell State ⓘ

CD133↓, 1,   p‑cMET↑, 1,   ERK↓, 1,   HDAC↓, 1,   mTOR↓, 1,   Nestin↓, 1,   RAS↑, 1,   Shh↓, 1,   p‑STAT3↓, 1,  

Migration ⓘ

MMPs↓, 1,   TumCI↓, 1,   TumCMig↓, 1,   Twist↓, 1,  

Angiogenesis & Vasculature ⓘ

EGFR↓, 1,   VEGF↓, 1,  

Immune & Inflammatory Signaling ⓘ

CXCR4↓, 1,   NF-kB↓, 1,  

Clinical Biomarkers ⓘ

BMPs↑, 1,   EGFR↓, 1,  

Functional Outcomes ⓘ

chemoP↑, 1,  
Total Targets: 32

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress ⓘ

antiOx↑, 1,   Catalase↑, 1,   GSH↑, 1,   HO-1↑, 1,   NRF2↑, 1,   ROS↓, 2,  

Core Metabolism/Glycolysis ⓘ

ALAT↓, 1,   NADPH↓, 1,  

Cell Death ⓘ

Casp3↓, 1,  

Migration ⓘ

p‑Rac1↓, 1,  

Barriers & Transport ⓘ

P-gp↓, 1,  

Immune & Inflammatory Signaling ⓘ

COX2↓, 1,   IKKα↑, 1,   IL10↓, 1,   IL6↓, 1,   Inflam↓, 1,   NF-kB↓, 1,   PGE2↓, 1,   TNF-α↓, 1,  

Clinical Biomarkers ⓘ

ALAT↓, 1,   ALP↓, 1,   AST↓, 1,   IL6↓, 1,  

Functional Outcomes ⓘ

cardioP↑, 1,   hepatoP↑, 1,   neuroP↑, 1,   RenoP↑, 1,  
Total Targets: 27

Scientific Paper Hit Count for: HDAC, Histone deacetylases
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:65  Cells:%  prod#:%  Target#:140  State#:%  Dir#:1
  wNotes=0  sortOrder:rid,rpid

 

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