Beclin-1 Cancer Research Results
Beclin-1, Beclin-1 (BECN1 gene): Click to Expand ⟱
| Source: |
| Type: Protein Coding gene |
Beclin 1, an autophagy and haploinsufficient tumor-suppressor protein, is frequently monoallelically deleted in breast and ovarian cancers. However, the precise mechanisms by which Beclin 1 inhibits tumor growth remain largely unknown.
A key biomarker of autophagy is Beclin-1. Beclin-1 stimulates LC3-I’s lipidation to produce LC3-II, which localizes to the autophagosome membrane to activate the development of autophagosomes.
-BECN1 = the official gene symbol (human gene name)
-Beclin-1 = the protein name encoded by the BECN1 gene
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Ovarian, Ovarian Cancer: Click to Expand ⟱
Scientific Papers found: Click to Expand⟱
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vitro+vivo, |
Ovarian, |
SKOV3 |
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ROS↑, eff↓, AntiCan↑, Apoptosis↑, tumCV↓, TumCG↓, TumCCA↑, LC3s↑, ERStress↑, Beclin-1↑, Bax:Bcl2↑, HER2/EBBR2↓, Akt↓, mTOR↓,
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in-vitro, |
Ovarian, |
SKOV3 |
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in-vitro, |
Ovarian, |
A2780S |
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Apoptosis↑, TumAuto↑, p62↓, p‑Akt↓, p‑mTOR↓, p‑P70S6K↓, Casp9↑, PARP↑, ATG3↑, Beclin-1↑, LC3‑Ⅱ/LC3‑Ⅰ↑,
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,
Cell Death ⓘ
Akt↓, 1, p‑Akt↓, 1, Apoptosis↑, 2, Bax:Bcl2↑, 1, Casp9↑, 1,
Kinase & Signal Transduction ⓘ
HER2/EBBR2↓, 1,
Transcription & Epigenetics ⓘ
tumCV↓, 1,
Protein Folding & ER Stress ⓘ
ERStress↑, 1,
Autophagy & Lysosomes ⓘ
ATG3↑, 1, Beclin-1↑, 2, LC3‑Ⅱ/LC3‑Ⅰ↑, 1, LC3s↑, 1, p62↓, 1, TumAuto↑, 1,
DNA Damage & Repair ⓘ
PARP↑, 1,
Cell Cycle & Senescence ⓘ
TumCCA↑, 1,
Proliferation, Differentiation & Cell State ⓘ
mTOR↓, 1, p‑mTOR↓, 1, p‑P70S6K↓, 1, TumCG↓, 1,
Drug Metabolism & Resistance ⓘ
eff↓, 1,
Clinical Biomarkers ⓘ
HER2/EBBR2↓, 1,
Functional Outcomes ⓘ
AntiCan↑, 1,
Total Targets: 24
Pathway results for Effect on Normal Cells:
Total Targets: 0
Scientific Paper Hit Count for: Beclin-1, Beclin-1 (BECN1 gene)
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:20 Cells:% prod#:% Target#:30 State#:% Dir#:2
wNotes=0 sortOrder:rid,rpid
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