chaetocin / GlucoseCon Cancer Research Results

CHA, chaetocin: Click to Expand ⟱
Features:

Chaetocin is a fungal secondary metabolite of the epipolythiodioxopiperazine (ETP) class, originally isolated from Chaetomium species. It has potent preclinical anticancer activity through several mechanisms, including inhibition of histone H3K9 methyltransferases such as SUV39H1, reduction of H3K9me3, disruption of thioredoxin/thioredoxin-reductase redox signalling, induction of oxidative stress, inhibition of Hsp90-associated signalling and promotion of apoptosis. Chaetocin can suppress tumour-cell proliferation and stemness and has shown activity in leukemia, glioblastoma, diffuse midline glioma and several solid-tumour models. It can also sensitize cancer cells to apoptosis-inducing agents and radiation. Although frequently described as an SUV39H1 inhibitor, chaetocin is not highly target-selective and its anticancer effects should not be attributed solely to SUV39H1 inhibition. Chaetocin is an experimental fungal metabolite / epigenetic and redox-active anticancer compound, with current therapeutic evidence predominantly preclinical.

Chaetocin — a sulfur-rich fungal secondary metabolite of the epipolythiodioxopiperazine (ETP) class originally isolated from Chaetomium species. It is an experimental redox-active and epigenetically active small molecule with potent preclinical anticancer activity. Chaetocin is commonly described as an SUV39H1/KMT1A inhibitor, but this classification is incomplete: it inhibits thioredoxin reductase, produces substantial oxidative stress, covalently perturbs proteins through its reactive disulfide functionality, inhibits multiple histone lysine methyltransferases, disrupts the SUV39H1–HP1 interaction, and can inhibit Hsp90-dependent signaling. It should therefore be classified as a multitarget ETP fungal metabolite / experimental epigenetic-redox anticancer compound rather than as a selective SUV39H1 inhibitor.

Primary mechanisms (ranked):

  1. Thioredoxin reductase / thioredoxin disruption and oxidative stress: inhibition and substrate competition at TrxR1 impair thioredoxin-dependent ROS detoxification, producing sustained oxidative stress that is strongly linked to chaetocin cytotoxicity.
  2. SUV39H1 / H3K9me3 epigenetic disruption: decreases SUV39H1-associated H3K9 trimethylation and alters heterochromatin-dependent transcription; however, chaetocin is not a selective SUV39H1 catalytic inhibitor and can affect other histone lysine methyltransferases.
  3. SUV39H1–HP1 heterochromatin disruption: the ETP disulfide functionality can covalently modify the SUV39H1 chromodomain and interfere with its interaction with HP1 independently of methyltransferase inhibition.
  4. ROS-dependent apoptosis and DNA-damage signaling: activates intrinsic mitochondrial apoptosis, death-receptor signaling, ATM/YAP1/p73 pathways and caspases, with several models showing antioxidant-sensitive cytotoxicity.
  5. PI3K/AKT and prosurvival signaling suppression: ROS-dependent inhibition of PI3K/AKT contributes to apoptosis and growth inhibition in several cancer models.
  6. Hsp90 / proteostasis disruption: binds Hsp90 and promotes loss of multiple Hsp90 client proteins, including SUV39H1 and oncogenic signaling proteins.
  7. Cancer stemness and transcriptional-network suppression: disrupts SUV39H1-dependent stem-cell programs including GATA3/STAT3 signaling in bladder cancer and stemness/growth-factor networks in glioma and diffuse midline glioma.
  8. Metabolic suppression: ROS/JNK signaling can decrease glucose uptake, glycolytic enzyme activity, lactate production and cellular ATP generation in glioma models.
  9. Antiangiogenic effects: inhibits endothelial-cell proliferation and can decrease tumor vascularization; SUV39H1/Notch1/VEGF modulation may contribute in some tumor models.

Bioavailability / PK relevance: Human pharmacokinetic parameters, therapeutic plasma concentrations, bioavailability and exposure-response relationships have not been established. Preclinical work indicates unusual intracellular handling related to the intact ETP disulfide groups and cellular redox environment. The highly reactive disulfide pharmacophore, broad protein reactivity and absence of validated human PK are major translational constraints.

In-vitro vs systemic exposure relevance: Anticancer potency varies substantially among models, ranging from low-nanomolar effects in some tumor screens to micromolar concentrations in other mechanistic experiments. There is no established human systemic exposure against which these concentrations can be compared. Consequently, even very potent in-vitro observations cannot currently be assumed to represent clinically achievable selective exposure. Normal-cell sparing has been observed in some hematologic and epithelial comparisons, but chaetocin also inhibits normal endothelial-cell proliferation, so tumor selectivity is not established as a general property.

Clinical evidence status: Preclinical only. Evidence includes cancer-cell studies, primary patient-derived cells, xenografts and other animal tumor models, with recent work supporting activity in glioblastoma, diffuse midline glioma and cancer stem-cell models. No established human therapeutic trials, randomized clinical evidence or approved adjunct use were identified. Chaetocin remains an experimental research compound and is not an approved anticancer drug.

Chaetocin Mechanistic Profile

Rank Pathway / Axis Cancer Cells Normal Cells TSF Primary Effect Notes / Interpretation
1 Thioredoxin reductase / Thioredoxin redox system TrxR1↓; reduced Trx recycling Potential TrxR inhibition; sensitivity appears lower in some normal-cell models P/R Loss of antioxidant capacity One of the strongest mechanistically supported direct activities. Chaetocin acts as a competitive TrxR1 substrate/inhibitor rather than merely producing nonspecific ROS.
2 Oxidative stress / ROS accumulation ROS↑ ROS effects possible; magnitude and tolerance are cell-dependent P/R Oxidative injury and cytotoxic signaling Central anticancer mechanism across myeloma, leukemia, melanoma, gastric cancer, glioma and other models. Antioxidant rescue experiments frequently reduce cytotoxicity.
3 SUV39H1 / H3K9me3 chromatin axis SUV39H1↓; H3K9me3↓ SUV39H1/H3K9me3↓ possible R/G Chromatin and transcriptional reprogramming Important but should not be described as highly selective. Chaetocin inhibits multiple lysine methyltransferases and can affect SUV39H1 abundance as well as enzymatic function.
4 SUV39H1 / HP1 heterochromatin interaction SUV39H1–HP1 interaction↓ Likely possible where the complex is present P/R Destabilization of heterochromatin organization Covalent interaction of the ETP disulfide functionality with the SUV39H1 chromodomain provides a mechanism distinct from catalytic methyltransferase inhibition.
5 Mitochondrial apoptosis MMP↓; cytochrome c↑; Bax↑; Bcl-2↓; caspase-9/3↑ Lower response reported in several comparison models R/G Intrinsic apoptosis↑ Strongly demonstrated in melanoma and supported in several additional tumor types. Mitochondria are an important execution pathway but are not required for all chaetocin-mediated cytotoxicity.
6 Death receptor / extrinsic apoptosis DR5↑; caspase-8↑; apoptosis↑ ↔ in some comparison models R/G Extrinsic apoptosis and apoptosis priming ROS-dependent death-receptor transcription and DR5 stabilization contribute particularly in leukemia and glioblastoma models.
7 ATM / YAP1 / p73 stress signaling ATM↑; YAP1↑; YAP1-p73 signaling↑ Not adequately characterized R/G DNA-damage-associated apoptosis Demonstrated in glioma and linked mechanistically to chaetocin-induced ROS.
8 PI3K / AKT survival signaling PI3K↓; AKT↓ Context-dependent R/G Prosurvival signaling↓ ROS-mediated suppression is well demonstrated in gastric cancer and contributes to apoptosis.
9 Hsp90 / client-protein stability Hsp90 function↓; oncogenic client proteins↓ Potential Hsp90 effects R/G Proteostasis disruption Chaetocin can bind Hsp90 and promote degradation of Hsp90 clients. This reinforces its multitarget classification.
10 Glycolysis / glucose metabolism Glucose uptake↓; glycolysis↓; lactate↓; ATP↓ Not adequately characterized R/G Metabolic stress ROS/JNK-dependent metabolic suppression is particularly documented in glioma cells.
11 NRF2 antioxidant response NRF2↑ early; NRF2↓ later (time-dependent) Not adequately characterized R/G Transient antioxidant adaptation followed by failure Secondary mechanism. In melanoma models NRF2, SOD2 and catalase rise during early oxidative stress but subsequently decline with prolonged exposure.
12 Cell cycle regulation G1 or G2/M arrest↑ (model-dependent) Limited evidence G Proliferation↓ The arrest phenotype differs among tumor models, indicating that cell-cycle modulation is downstream/context-dependent rather than a single universal chaetocin target.
13 Cancer stemness / GATA3 / STAT3 networks Stemness↓; STAT3↓ (context-dependent) ↔ in selected normal-cell comparisons G Self-renewal and tumor initiation↓ Documented in bladder cancer stem cells and supported by newer glioma and diffuse midline glioma studies.
14 Angiogenesis / endothelial proliferation Tumor vascularization↓; VEGF/Notch1 signaling↓ (context-dependent) Endothelial proliferation↓ G Angiogenesis↓ This is therapeutically relevant but also demonstrates that chaetocin is not universally tumor-cell selective.
15 Chemosensitization / apoptosis sensitization Sensitivity↑ Limited evidence G Combination efficacy↑ Preclinical synergy or sensitization has been reported with TRAIL, ONC201, HDAC inhibition, auranofin and several other anticancer interventions. This remains preclinical.
16 Clinical Translation Constraint Potent preclinical activity Normal-tissue therapeutic window uncertain G Translation currently limited No established human PK, therapeutic exposure, clinical efficacy or approved indication. Reactive ETP disulfides and broad target engagement complicate claims of pharmacologic selectivity.

P: 0–30 min    R: 30 min–3 hr    G: >3 hr



GlucoseCon, Glucose Consumption: Click to Expand ⟱
Source:
Type:
Glucose consumption is often elevated in cancer cells due to an increased reliance on glycolysis for energy production, even in the presence of oxygen. This phenomenon, known as the Warburg effect, is a metabolic shift that allows cancer cells to rapidly proliferate and survive in nutrient-poor environments.

The increased glucose consumption in cancer cells can be detected using positron emission tomography (PET) scans, which measure the uptake of a glucose analog labeled with a radioactive tracer.


Scientific Papers found: Click to Expand⟱
7185- CHA,    Chaetocin-induced ROS-mediated apoptosis involves ATM–YAP1 axis and JNK-dependent inhibition of glucose metabolism
- vitro+vivo, GBM, A172 - in-vitro, GBM, T98G - in-vitro, GBM, U87MG
HMTs↓, ROS↑, p‑ATM↑, YAP/TEAD↑, p‑JNK↑, TumPF↓, SUV39H↓, TrxR↓, Casp3↑, Trx1↓, H3↓, lactateProd↓, ATP↓, GlucoseCon↓, TumCG↓, Dose↝,
7167- CHA,    Chaetocin-induced ROS-mediated apoptosis involves ATM-YAP1 axis and JNK-dependent inhibition of glucose metabolism
- vitro+vivo, GBM, A172 - in-vitro, GBM, T98G - in-vitro, GBM, U87MG
HMTs↓, ROS↑, YAP/TEAD↑, ATM↑, JNK↑, Apoptosis↑, GlucoseCon↓, lactateProd↓, ATP↓, TumCP↓, TrxR↓, Trx1↓, H3K9↓, p‑ATM↑, γH2AX↑, ALDOB↑, ENO3↑, FBP1↑, GSK‐3β↑, HK3↑, PCK1↑, PGK2↑, PGM1↑, PGM3↑, PHKG1↑, PKLR↑, HK2↓, PCNA↓,

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:


NA, unassigned(tgid=0)

ALDOB↑, 1,   ENO3↑, 1,   H3K9↓, 1,   HK3↑, 1,   PGK2↑, 1,   PGM3↑, 1,   PHKG1↑, 1,   PKLR↑, 1,   SUV39H↓, 1,  

Redox & Oxidative Stress(tgid=1)

ROS↑, 2,   Trx1↓, 2,   TrxR↓, 2,  

Mitochondria & Bioenergetics(tgid=3)

ATP↓, 2,  

Core Metabolism/Glycolysis(tgid=4)

FBP1↑, 1,   GlucoseCon↓, 2,   HK2↓, 1,   lactateProd↓, 2,   PCK1↑, 1,   PGM1↑, 1,  

Cell Death(tgid=5)

Apoptosis↑, 1,   Casp3↑, 1,   JNK↑, 1,   p‑JNK↑, 1,   YAP/TEAD↑, 2,  

Transcription & Epigenetics(tgid=7)

H3↓, 1,  

DNA Damage & Repair(tgid=10)

ATM↑, 1,   p‑ATM↑, 2,   PCNA↓, 1,   γH2AX↑, 1,  

Proliferation, Differentiation & Cell State(tgid=12)

GSK‐3β↑, 1,   HMTs↓, 2,   TumCG↓, 1,  

Migration(tgid=13)

TumCP↓, 1,   TumPF↓, 1,  

Drug Metabolism & Resistance(tgid=21)

Dose↝, 1,  
Total Targets: 35

Pathway results for Effect on Normal Cells:


Total Targets: 0

Scientific Paper Hit Count for: GlucoseCon, Glucose Consumption
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#:433  Target#:623  State#:%  Dir#:1
wNotes=0 sortOrder:rid,rpid

 

Home Page