Let-7 Cancer Research Results

Let-7, Let-7: Click to Expand ⟱
Source:
Type: miRNAs
Let-7 is a family of microRNAs (miRNAs) that play a crucial role in regulating gene expression.
Let-7 miRNAs are known to target genes involved in cell proliferation, differentiation, and survival, and have been shown to act as tumor suppressors.

In cancer, let-7 miRNAs are often downregulated, leading to the upregulation of their target genes, which can contribute to cancer development and progression.
Scientific Papers found: Click to Expand⟱
1422- Bos,    Boswellic acid exerts antitumor effects in colorectal cancer cells by modulating expression of the let-7 and miR-200 microRNA family
- in-vitro, CRC, NA - in-vivo, NA, NA
5LO↓, TumCG↓, Let-7↑, miR-200b↑, NF-kB↓, cMyc↓, cycD1/CCND1↓, MMP9↓, CXCR4↓, VEGF↓, Bcl-xL↓, survivin↓, IAP1↓, XIAP↓, TumCG↓, CDK6↓, Vim↓, E-cadherin↑,
1416- Bos,    Anti-cancer properties of boswellic acids: mechanism of action as anti-cancerous agent
- Review, Var, NA
5LO↓, TumCCA↑, LC3B↓, PI3K↓, Akt↓, Glycolysis↓, AMPK↑, mTOR↓, Let-7↑, COX2/PTGS2↓, VEGF↓, CXCR4↓, MMP2↓, MMP9↓, HIF-1↓, angioG↓, TumCP↓, TumCMig↓, NF-kB↓,
2767- Bos,    The potential role of boswellic acids in cancer prevention and treatment
- Review, Var, NA
*Inflam↓, AntiCan↑, *MAPK↑, *Ca+2↝, p‑ERK↓, TumCI↓, cycD1/CCND1↓, cycE/CCNE↓, CDK2↓, CDK4↓, p‑RB1↓, *NF-kB↓, *TNF-α↓, NF-kB↓, IKKα↓, MCP1/CCL2↓, IL1α↓, MIP2↓, VEGF↓, Tf↓, COX2/PTGS2↓, MMP9↓, CXCR4↓, VEGF↓, Synergy↑, PPARα↓, lipid-P?, STAT3↓, TOP1↓, TOP2↑, 5HT↓, p‑PDGFR-BB↓, PDGF↓, AR↓, DR5↑, angioG↓, DR4↑, Casp3↑, Casp8↑, cl‑PARP↑, eff↑, chemoPv↑, Wnt↓, β-catenin/ZEB1↓, ascitic↓, Let-7↑, miR-200b↑, Synergy↑, MMP1↓, MMP2↓, Synergy↑, BioAv↓, BioAv↑, Half-Life↓, toxicity↓, Dose↑, BioAv↑, ChemoSen↑, *antiAll↑,
2782- CHr,    Broad-Spectrum Preclinical Antitumor Activity of Chrysin: Current Trends and Future Perspectives
- Review, Var, NA - Review, Stroke, NA - Review, Park, NA
*antiOx↑, *Inflam↓, *hepatoP↑, *neuroP↑, *BioAv↓, *cardioP↑, *lipidLev↓, *RenoP↑, *TNF-α↓, *IL2↓, *PI3K↓, *Akt↓, *ROS↓, *cognitive↑, Synergy↑, cycD1/CCND1↓, hTERT/TERT↓, VEGF↓, p‑STAT3↓, TumMeta↓, TumCP↓, Synergy↑, Synergy↑, IL1β↓, IL6↓, NF-kB↓, ROS↑, MMP↓, Cyt‑c↑, Apoptosis↑, ER Stress↑, Ca+2↑, TET1↑, Let-7↑, Twist↓, EMT↓, TumCCA↑, Casp3↑, Casp9↑, BAX↑, HK2↓, GlucoseCon↓, lactateProd↓, Glycolysis↓, SHP1↑, N-cadherin↓, E-cadherin↑, UPR↑, PERK↑, ATF4↑, eIF2α↑, RadioS↑, NOTCH1↑, NRF2↓, BioAv↑, Synergy↑,
8851- DIM,    3,3’-Diindolylmethane and its derivatives: nature-inspired strategies tackling drug resistant tumors by regulation of signal transduction, transcription factors and microRNAs
- Review, Var, NA
Apoptosis↑, NF-kB↓, Akt↓, Wnt↓, PI3K↓, mTOR↓, PSA↓, Let-7↓, miR-34a↓, EZH2↓, NOTCH1↓, AR↓, E-cadherin↑, Zeb1↓, Vim↓, Slug↓, EMT↓, MTA2↓, NF-kB↓, IRAK1↓, EGFR↓, SOX4↓, FOXM1↓, p27/CDKN1B↓, AhR↓, EZH2↓, Wnt↓, PUMA↓, AEG1↑, ROS↑, PPARα↑, CycB/CCNB1↑,
8845- DIM,  I3C,    3,3′-Diindolylmethane and indole-3-carbinol: potential therapeutic molecules for cancer chemoprevention and treatment via regulating cellular signaling pathways
- Review, Var, NA
*BioAv↝, *BioAv↓, *BioAv↓, *AntiAg↑, *ROS↓, *AntiThr↑, *Stroke↓, *CYP1A1↑, *CYP1A2↑, *GSTs↑, *NQO1↑, AntiTum↑, AntiCan↑, TumAuto↓, Let-7↑, miR-34a↑, TumCMig↓, Apoptosis↑, MMP↓, mtDam↑, ROS↑, TumCCA↑, other↝, PSA↓, Dose↝, MMP2↓, MMP3↓, MMP9↓, EGFR↓, RAS↓, PI3K↓, Akt↓, mTOR↓, CDK4↓, cycD1/CCND1↓, P21↑, MDM2↓, TumCP↓, NF-kB↓, RANKL↓, PUMA↓, Wnt↓, MTA2↓, EZH2↓, AhR↓, PTEN↑, NOTCH1↓, IRAK1↓, p27/CDKN1B↓, CDKN1C/p57↓, CDC25↓, EGFR↓, Zeb1↓, FOXM1↓, SOX4↓, E-cadherin↑, uPA↓, uPAR↓,
669- EGCG,    Epigallocatechin-3-gallate and cancer: focus on the role of microRNAs
- Review, Var, NA
Let-7↑, KRAS↓,
805- GAR,  Cisplatin,  PacT,    Garcinol Exhibits Anti-Neoplastic Effects by Targeting Diverse Oncogenic Factors in Tumor Cells
- Review, Var, NA
ERK↓, PI3K/Akt↓, Wnt/(β-catenin)↓, STAT3↓, NF-kB↓, ChemoSen↑, COX2/PTGS2↓, Casp3↑, Casp9↑, BAX↑, Bcl-2↓, VEGF↓, TGF-β↓, HATs↓, E-cadherin↑, Vim↓, Zeb1↓, ZEB2↓, Let-7↑, MMP9↓, TumCCA↑, ROS↑, MMP↓, IL6↓, NOTCH1↓, antiNeop↑,
800- GAR,    Garcinol Regulates EMT and Wnt Signaling Pathways In Vitro and In Vivo, Leading to Anticancer Activity against Breast Cancer Cells
- in-vitro, BC, MDA-MB-231 - in-vitro, BC, BT549 - in-vivo, NA, NA
EMT↓, MET↑, E-cadherin↑, Vim↓, Zeb1↓, ZEB2↑, miR-200c↑, Let-7↑, p‑β-catenin/ZEB1↓, NF-kB↓,
818- GAR,  GB,    Garcinol Sensitizes NSCLC Cells to Standard Therapies by Regulating EMT-Modulating miRNAs
- in-vitro, Lung, A549
miR-205↑, Let-7↑, Apoptosis↑, miR-200b↑, miR-218↑,
8113- LA,    Analyzing of colorectal cancer related genes and microRNAs expression profiles in response to probiotics Lactobacillus acidophilus and Saccharomyces cerevisiae in colon cancer cell lines
- in-vitro, CRC, HT-29 - in-vitro, CRC, SW480
BAX↑, Casp3↑, Casp9↑, Bcl-2↓, MMP2↓, MMP9↓, miR-34a↑, miR-25-5p↑, miR-195↑, miR-27a-3p↑, Let-7↑, miR-106b↓, miR-17↓, miR-21↓, miR-155↓, miR-221↓, TumPF↓,
8281- LE,    A Licorice Roots Extract Induces Apoptosis and Cell Cycle Arrest and Improves Metabolism via Regulating MiRNAs in Liver Cancer Cells
- in-vitro, Liver, NA
Apoptosis↑, TumCCA↑, Let-7↑, miR-34b-5p↑, miR-122-5p↑, miR-126↑, miR-195↑, miR-199↑, miR-206↑, miR-326-5p↑, Hif1a↓, PI3K↓, cMyc↓, AMPK↑, P53↑, Glycolysis↓, HK2↓, LDHA↓, PKM2↓, PPP↓, G6PD↓, GlutaM↓, GLS↓, miR-21↑, miR-221↑, miR-222↑,
3360- QC,    Role of Flavonoids as Epigenetic Modulators in Cancer Prevention and Therapy
- Review, Var, NA
HDAC↓, DNMTs↓, HMTs↓, Let-7↑, NOTCH↓,
7920- VT,    Vitexin Induces Apoptosis in MCF-7 Breast Cancer Cells through the Regulation of Specific miRNAs Expression
- in-vitro, BC, MCF7
Let-7↓, miR-17↓, Casp3↑,

Showing Research Papers: 1 to 14 of 14

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 14

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

lipid-P?, 1,   NRF2↓, 1,   ROS↑, 4,  

Metal & Cofactor Biology(tgid=2) ⓘ

Tf↓, 1,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

CDC25↓, 1,   mtDam↑, 1,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

5LO↓, 2,   AMPK↑, 2,   G6PD↓, 1,   GLS↓, 1,   GlucoseCon↓, 1,   GlutaM↓, 1,   Glycolysis↓, 3,   HK2↓, 2,   lactateProd↓, 1,   LDHA↓, 1,   PKM2↓, 1,   PPP↓, 1,  

Cell Death(tgid=5) ⓘ

Apoptosis↑, 5,   BAX↑, 3,   Bcl-2↓, 2,   Bcl-xL↓, 1,   Casp3↑, 5,   Casp8↑, 1,   Casp9↑, 3,   Cyt‑c↑, 1,   DR5↑, 1,   IAP1↓, 1,   MDM2↓, 1,   PUMA↓, 2,   survivin↓, 1,   XIAP↓, 1,  

Kinase & Signal Transduction(tgid=6) ⓘ

Akt↓, 3,   EGFR↓, 3,   ERK↓, 1,   p‑ERK↓, 1,   IKKα↓, 1,   mTOR↓, 3,   p‑PDGFR-BB↓, 1,   PI3K↓, 4,   PI3K/Akt↓, 1,   PTEN↑, 1,   RAS↓, 1,   SHP1↑, 1,   STAT3↓, 2,   p‑STAT3↓, 1,  

Transcription & Epigenetics(tgid=7) ⓘ

ATF4↑, 1,   cMyc↓, 2,   DNMTs↓, 1,   EZH2↓, 3,   FOXM1↓, 2,   HATs↓, 1,   HDAC↓, 1,   HMTs↓, 1,   miR-106b↓, 1,   miR-122-5p↑, 1,   miR-126↑, 1,   miR-155↓, 1,   miR-17↓, 2,   miR-195↑, 2,   miR-199↑, 1,   miR-200b↑, 3,   miR-200c↑, 1,   miR-205↑, 1,   miR-206↑, 1,   miR-21↓, 1,   miR-21↑, 1,   miR-218↑, 1,   miR-221↓, 1,   miR-221↑, 1,   miR-222↑, 1,   miR-25-5p↑, 1,   miR-27a-3p↑, 1,   miR-326-5p↑, 1,   miR-34a↓, 1,   miR-34a↑, 2,   miR-34b-5p↑, 1,   MTA2↓, 2,   other↝, 1,   SOX4↓, 2,  

Protein Folding & ER Stress(tgid=8) ⓘ

eIF2α↑, 1,   ER Stress↑, 1,   PERK↑, 1,   UPR↑, 1,  

Autophagy & Lysosomes(tgid=9) ⓘ

LC3B↓, 1,   TumAuto↓, 1,  

DNA Damage & Repair(tgid=10) ⓘ

hTERT/TERT↓, 1,   P53↑, 1,   cl‑PARP↑, 1,   TOP1↓, 1,   TOP2↑, 1,  

Cell Cycle & Senescence(tgid=11) ⓘ

CDK2↓, 1,   CDK4↓, 2,   CDK6↓, 1,   CDKN1C/p57↓, 1,   CycB/CCNB1↑, 1,   cycD1/CCND1↓, 4,   cycE/CCNE↓, 1,   P21↑, 1,   p27/CDKN1B↓, 2,   p‑RB1↓, 1,   TumCCA↑, 5,  

Proliferation, Differentiation & Cell State(tgid=12) ⓘ

Let-7↓, 2,   Let-7↑, 12,   NOTCH↓, 1,   NOTCH1↓, 3,   NOTCH1↑, 1,   TumCG↓, 2,   TumCP↓, 3,   Wnt↓, 4,   Wnt/(β-catenin)↓, 1,  

Migration(tgid=13) ⓘ

AEG1↑, 1,   Ca+2↑, 1,   E-cadherin↑, 6,   EMT↓, 3,   KRAS↓, 1,   MET↑, 1,   MMP1↓, 1,   MMP2↓, 4,   MMP3↓, 1,   MMP9↓, 6,   N-cadherin↓, 1,   PDGF↓, 1,   Slug↓, 1,   TET1↑, 1,   TGF-β↓, 1,   TumCI↓, 1,   TumCMig↓, 2,   TumMeta↓, 1,   TumPF↓, 1,   Twist↓, 1,   uPA↓, 1,   uPAR↓, 1,   Vim↓, 4,   Zeb1↓, 4,   ZEB2↓, 1,   ZEB2↑, 1,   β-catenin/ZEB1↓, 1,   p‑β-catenin/ZEB1↓, 1,  

Angiogenesis & Vasculature(tgid=14) ⓘ

angioG↓, 2,   HIF-1↓, 1,   Hif1a↓, 1,   VEGF↓, 6,  

Barriers & Transport(tgid=15) ⓘ

MMP↓, 3,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

COX2/PTGS2↓, 3,   CXCR4↓, 3,   DR4↑, 1,   IL1α↓, 1,   IL1β↓, 1,   IL6↓, 2,   IRAK1↓, 2,   MCP1/CCL2↓, 1,   MIP2↓, 1,   NF-kB↓, 9,   PSA↓, 2,  

Synaptic & Neurotransmission(tgid=18) ⓘ

5HT↓, 1,  

Hormonal & Nuclear Receptors(tgid=20) ⓘ

AhR↓, 1,   AhR↓, 1,   AR↓, 2,   PPARα↓, 1,   PPARα↑, 1,   RANKL↓, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↓, 1,   BioAv↑, 3,   ChemoSen↑, 2,   Dose↑, 1,   Dose↝, 1,   eff↑, 1,   Half-Life↓, 1,   RadioS↑, 1,   Synergy↑, 7,  

Clinical Biomarkers(tgid=22) ⓘ

AR↓, 2,   ascitic↓, 1,   EGFR↓, 3,   EZH2↓, 3,   FOXM1↓, 2,   hTERT/TERT↓, 1,   IL6↓, 2,   KRAS↓, 1,   PSA↓, 2,  

Functional Outcomes(tgid=23) ⓘ

AntiCan↑, 2,   antiNeop↑, 1,   AntiTum↑, 1,   chemoPv↑, 1,   toxicity↓, 1,  
Total Targets: 185

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

antiOx↑, 1,   GSTs↑, 1,   NQO1↑, 1,   ROS↓, 2,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

lipidLev↓, 1,  

Kinase & Signal Transduction(tgid=6) ⓘ

Akt↓, 1,   MAPK↑, 1,   PI3K↓, 1,  

Transcription & Epigenetics(tgid=7) ⓘ

AntiThr↑, 1,  

Migration(tgid=13) ⓘ

AntiAg↑, 1,   Ca+2↝, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

IL2↓, 1,   Inflam↓, 2,   NF-kB↓, 1,   TNF-α↓, 2,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↓, 3,   BioAv↝, 1,   CYP1A1↑, 1,   CYP1A2↑, 1,  

Functional Outcomes(tgid=23) ⓘ

antiAll↑, 1,   cardioP↑, 1,   cognitive↑, 1,   hepatoP↑, 1,   neuroP↑, 1,   RenoP↑, 1,   Stroke↓, 1,  
Total Targets: 26

Scientific Paper Hit Count for: Let-7, Let-7
3 Boswellia (frankincense)
3 Garcinol
2 Diindolylmethane
1 Chrysin
1 Indole-3-carbinol
1 EGCG (Epigallocatechin Gallate)
1 Cisplatin
1 Paclitaxel/Taxol
1 gefitinib, erlotinib
1 Lactobacillus
1 Licorice
1 Quercetin
1 Vitexin
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#:831  State#:%  Dir#:%
  wNotes=0  sortOrder:rid,rpid

 

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