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.
RCC, Renal cell Carcinoma: Click to Expand ⟱
Renal cell carcinoma (RCC) is one of the most common malignant tumors of the urinary system, accounting for 80–90% of kidney neoplasms.
The activation of the mTOR pathway has been found in RCC and is correlated with high grade and poor prognostic patient features (41,42).
Scientific Papers found: Click to Expand⟱
1004- HNK,  RAPA,    PD-L1_expression_and_enhances_antitumor_effects_of_mTOR_inhibitors_in_renal_cancer_cells">Honokiol downregulates PD-L1 expression and enhances antitumor effects of mTOR inhibitors in renal cancer cells
- in-vitro, RCC, NA
Apoptosis↑, TumCCA↑, ROS↑, PD-L1↓, IFN-γ↓,

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,  

Cell Death ⓘ

Apoptosis↑, 1,  

Cell Cycle & Senescence ⓘ

TumCCA↑, 1,  

Immune & Inflammatory Signaling ⓘ

IFN-γ↓, 1,   PD-L1↓, 1,  

Clinical Biomarkers ⓘ

PD-L1↓, 1,  
Total Targets: 6

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:24  Cells:%  prod#:%  Target#:243  State#:%  Dir#:1
  wNotes=0  sortOrder:rid,rpid

 

Home Page