Myc Cancer Research Results

Myc, v-myc avian myelocytomatosis viral oncogene homolog: Click to Expand ⟱
Source: TCGA
Type:
Myc is a family of regulator genes and proteins that play a crucial role in cell cycle progression, apoptosis, and cellular transformation.
Myc is often found to be overexpressed or dysregulated in many types of tumors. This overexpression can lead to uncontrolled cell division and growth, contributing to the development and progression of cancer.
Myc is frequently overexpressed in various cancers, including hematological malignancies (like Burkitt lymphoma) and solid tumors (such as breast, lung, and colon cancers). This overexpression can result from genetic alterations, such as chromosomal translocations, amplifications, or mutations.

MYC is use as a clinical biomarker for risk biology-aggressiveness.


Scientific Papers found: Click to Expand⟱
4916- DSF,  Cu,    The immunomodulatory function and antitumor effect of disulfiram: paving the way for novel cancer therapeutics
- Review, Var, NA
TumCP↓, TumCMig↓, TumCI↓, eff↑, Imm↑, ROS↑, NF-kB↓, chemoP↑, JNK↑, FOXO↑, Myc↑, TumCCA↑, Apoptosis↑, RadioS↑, PD-L1↑, eff↑, CSCs↓, Dose↝, Half-Life↑,

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,   JNK↑, 1,   Myc↑, 1,  

Cell Cycle & Senescence

TumCCA↑, 1,  

Proliferation, Differentiation & Cell State

CSCs↓, 1,   FOXO↑, 1,  

Migration

TumCI↓, 1,   TumCMig↓, 1,   TumCP↓, 1,  

Immune & Inflammatory Signaling

Imm↑, 1,   NF-kB↓, 1,   PD-L1↑, 1,  

Drug Metabolism & Resistance

Dose↝, 1,   eff↑, 2,   Half-Life↑, 1,   RadioS↑, 1,  

Clinical Biomarkers

Myc↑, 1,   PD-L1↑, 1,  

Functional Outcomes

chemoP↑, 1,  
Total Targets: 20

Pathway results for Effect on Normal Cells:


Total Targets: 0

Scientific Paper Hit Count for: Myc, v-myc avian myelocytomatosis viral oncogene homolog
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#:210  State#:%  Dir#:2
wNotes=0 sortOrder:rid,rpid

 

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