PD-L1 Cancer Research Results

PD-L1, Programmed Death-Ligand 1: Click to Expand ⟱
Source:
Type:
PD-L1 is a protein that plays a crucial role in the regulation of the immune system. PD-L1 helps to prevent the immune system from attacking healthy cells by binding to its receptor, PD-1, on immune cells. However, some cancer cells can exploit this mechanism by expressing high levels of PD-L1, which can help them evade immune detection.
PD-L1 has become a key target for cancer immunotherapy, particularly in the development of checkpoint inhibitors.

PD-1: Upregulated on tumor-infiltrating lymphocytes (TILs), reflecting chronic antigen exposure and an “exhausted” T cell phenotype.
PD-L1 and PD-L2: Frequently overexpressed by many tumor types (e.g., non–small cell lung cancer, melanoma, renal cell carcinoma, head and neck cancers.


Bladder, Bladder Cancer: Click to Expand ⟱
Bladder Cancer

Scientific Papers found: Click to Expand⟱
5845- CAP,    Unveiling the Molecular Mechanisms Driving the Capsaicin-Induced Immunomodulatory Effects on PD-L1 Expression in Bladder and Renal Cancer Cell Lines
- in-vivo, RCC, A498 - in-vitro, RCC, T24/HTB-9 - NA, Bladder, 5637
TRPV1↑, TumCP↓, Casp↑, Apoptosis↑, SIRT1↓, MMP2↓, MMP9↓, TumCMig↓, TumCCA↑, ROS↑, DNAdam↑, PD-L1↑, eff↓,

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:


Redox & Oxidative Stress

ROS↑, 1,  

Core Metabolism/Glycolysis

SIRT1↓, 1,  

Cell Death

Apoptosis↑, 1,   Casp↑, 1,   TRPV1↑, 1,  

DNA Damage & Repair

DNAdam↑, 1,  

Cell Cycle & Senescence

TumCCA↑, 1,  

Migration

MMP2↓, 1,   MMP9↓, 1,   TumCMig↓, 1,   TumCP↓, 1,  

Immune & Inflammatory Signaling

PD-L1↑, 1,  

Drug Metabolism & Resistance

eff↓, 1,  

Clinical Biomarkers

PD-L1↑, 1,  
Total Targets: 14

Pathway results for Effect on Normal Cells:


Total Targets: 0

Scientific Paper Hit Count for: PD-L1, Programmed Death-Ligand 1
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:32  Cells:%  prod#:%  Target#:243  State#:%  Dir#:2
wNotes=0 sortOrder:rid,rpid

 

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