Database Query Results : Ashwagandha(Withaferin A), , TGF-β

Ash, Ashwagandha(Withaferin A): Click to Expand ⟱
Features:

Ashwagandha (Withaferin A) — Withaferin A (WA; WFA) is a bioactive steroidal lactone (a “withanolide”) found in Withania somnifera (ashwagandha/Indian ginseng), with most translational oncology discussion centered on WA as a small-molecule electrophile rather than the whole-herb supplement. It is best classified as a natural-product small molecule (steroidal lactone/withanolide) with pleiotropic proteostasis, cytoskeletal, redox-stress, and inflammatory signaling effects; in supplements, WA exposure depends strongly on extract standardization (root vs leaf, % withanolides) and formulation.

Primary mechanisms (ranked):

  1. Hsp90-axis disruption (incl. client protein destabilization) leading to proteostasis stress and multi-client oncoprotein depletion
  2. Covalent targeting of intermediate filaments (notably vimentin) with downstream effects on adhesion/migration, EMT programs, and angiogenic endothelium
  3. Pro-oxidative stress signaling in cancer cells with mitochondrial dysfunction, ER stress/UPR engagement, and apoptosis execution
  4. Inflammation and survival signaling suppression (notably NF-κB-centric programs; context-dependent immune modulation)
  5. Contextual transcriptional/epigenetic modulation (e.g., HDAC/DNMT-related signals) contributing to anti-proliferative phenotypes
  6. Metabolic stress signaling (glycolysis/HIF-1α/ATP depletion) as a secondary vulnerability in susceptible models

Bioavailability / PK relevance: WA shows measurable systemic exposure in animals (reported oral bioavailability in rats), but PK is variable across species, doses, and extract matrices; human exposure data exist from a phase I osteosarcoma study and from healthy-volunteer PK work on standardized Withania extracts measuring circulating withanolides (including WA). WA is lipophilic and subject to first-pass metabolism; typical pharmacodynamic in-vitro micromolar concentrations may exceed achievable unbound plasma levels depending on formulation and dosing.

In-vitro vs systemic exposure relevance: Many mechanistic cancer studies use ~1–10 µM WA; translation requires caution because free (unbound) systemic concentrations and tumor penetration are not well-constrained in humans, and whole-extract products can have low/variable WA content (model- and formulation-dependent).

Clinical evidence status: Limited human oncology evidence: a phase I study in advanced high-grade osteosarcoma reported feasibility/safety and proposed a daily dose level; an active clinical trial evaluates an ashwagandha/withaferin-A strategy with liposomal doxorubicin in recurrent ovarian cancer. Most anticancer support remains preclinical, while non-oncology human data for ashwagandha primarily address stress/sleep and are not evidence of anticancer efficacy.

The main active constituents of Ashwagandha leaves are alkaloids and steroidal lactones (commonly known as Withanolides).
-The main constituents of ashwagandha are withanolides such as withaferin A, alkaloids, steroidal lactones, tropine, and cuscohygrine.
Ashwagandha is an herb that may reduce stress, anxiety, and insomnia.
*-Ashwagandha is often characterized as an antioxidant.
-Some studies suggest that while ashwagandha may protect normal cells from oxidative damage, it can simultaneously stress cancer cells by tipping their redox balance toward cytotoxicity.
Pathways:
-Induction of Apoptosis and ROS Generation
-Hsp90 Inhibition and Proteasomal Degradation

Cell culture studies vary widely, typically ranging from low micromolar (e.g., 1–10 µM).
In animal models (commonly mice), Withaferin A has been administered in doses ranging from approximately 2 to 10 mg/kg body weight.
- General wellness, Ashwagandha supplements are sometimes taken in doses ranging from 300 mg to 600 mg of an extract (often standardized to contain a certain percentage of withanolides) once or twice daily.
- 400mg of WS extract was given 3X/day to schizophrenia patients. report#2001.
- Ashwagandha Pure 400mg/capsule is available from mcsformulas.com.

-Note half-life 4-6 hrs?.
BioAv
Pathways:
- well-recognized for promoting ROS in cancer cells, while no effect(or reduction) on normal cells.
- ROS↑ related: MMP↓(ΔΨm), ER Stress↑, UPR↑, GRP78↑, Cyt‑c↑, Caspases↑, DNA damage↑, cl-PARP↑, HSP↓, Prx,
- Confusing results about Lowering AntiOxidant defense in Cancer Cells: NRF2↓, TrxR↓**, SOD↓, GSH↓ Catalase↓ HO1↓ GPx↓
- Raises AntiOxidant defense in Normal Cells: ROS↓, NRF2↑, SOD↑, GSH↑, Catalase↑,
- lowers Inflammation : NF-kB↓, COX2↓, p38↓, Pro-Inflammatory Cytokines : NLRP3↓, IL-1β↓, TNF-α↓, IL-6↓, IL-8↓
- inhibit Growth/Metastases : TumMeta↓, TumCG↓, EMT↓, MMPs↓, MMP2↓, MMP9↓, TIMP2, uPA↓, VEGF↓, ROCK1↓, NF-κB↓, CXCR4↓, SDF1↓, TGF-β, α-SMA↓, ERK↓
- reactivate genes thereby inhibiting cancer cell growth : HDAC↓(combined with sulfor), DNMT1↓, DNMT3A↓, P53↑, HSP↓, Sp proteins↓, TET↑
- cause Cell cycle arrest : TumCCA↑, cyclin E↓, CDK2↓, CDK4↓,
- inhibits Migration/Invasion : TumCMig↓, TumCI↓, TNF-α↓, ERK↓, EMT↓, TOP1↓,
- inhibits glycolysis /Warburg Effect and ATP depletion : HIF-1α↓, PKM2↓, cMyc↓, GLUT1↓, LDH↓, LDHA↓, HK2↓, OXPHOS↓, GRP78↑, GlucoseCon↓
- inhibits angiogenesis↓ : VEGF↓, HIF-1α↓, Notch↓, PDGF↓, EGFR↓, Integrins↓,
- inhibits Cancer Stem Cells : CSC↓, β-catenin↓, sox2↓,
- Others: PI3K↓, AKT↓, JAK↓, STAT↓, Wnt↓, β-catenin↓, AMPK, α↓, ERK↓, JNK,
- Synergies: chemo-sensitization, chemoProtective, RadioSensitizer, RadioProtective, Others(review target notes), Neuroprotective, Cognitive, Renoprotection, Hepatoprotective, CardioProtective,

- Selectivity: Cancer Cells vs Normal Cells

Mechanistic pathway map for Ashwagandha (Withaferin A) in cancer biology

Rank Pathway / Axis Cancer Cells Normal Cells TSF Primary Effect Notes / Interpretation
1 Hsp90 proteostasis axis Hsp90 functional inhibition → client proteins ↓ (Akt/EGFR/HER2/Raf/Cdk etc.) → growth/survival signaling ↓ Stress-response engagement possible; tolerability is dose/formulation dependent R Multi-node oncogenic network destabilization Often presented as ATP-independent Hsp90 inhibition with downstream proteasomal degradation of clients; mechanistically central because it collapses multiple driver pathways at once.
2 Vimentin and intermediate filament remodeling Vimentin function/organization ↓ → migration/invasion ↓, EMT programs ↓ (context-dependent) Endothelial and stromal cytoskeleton can be affected; may underlie anti-angiogenic activity P Anti-motility / anti-metastatic leverage WA behaves as a reactive small molecule with reported covalent interaction with vimentin; cytoskeletal perturbation can be rapid and not strictly transcription-driven.
3 Mitochondrial ROS increase ROS ↑ → ΔΨm ↓, cyt-c ↑, caspase cascade ↑ → apoptosis ↑ Often ROS ↔ or ↓ with antioxidant response ↑ (model-dependent) P/R Selective redox toxicity in susceptible tumors Frequently paired with ER stress/UPR activation; selectivity is commonly framed as “push cancer over its redox limit,” but this is highly dose- and context-dependent.
4 ER stress and UPR axis ER stress ↑, UPR ↑ → proteotoxic stress → apoptosis/autophagy shifts (model-dependent) Adaptive UPR may occur; excessive dosing can stress normal tissues R Proteotoxic stress amplification Mechanistically synergistic with Hsp90 disruption and ROS signaling; can manifest as GRP78/BiP and related markers ↑ in some systems.
5 NF-κB inflammatory survival signaling NF-κB ↓ → cytokine/pro-survival programs ↓, invasion-associated signaling ↓ Anti-inflammatory signaling ↓ may be beneficial in some contexts; immune effects can be mixed G Survival/inflammation program suppression Often aligned with COX-2 and inflammasome-related readouts in inflammatory models; oncology relevance is strongest where NF-κB is a core survival node.
6 EMT and metastasis signaling EMT ↓, MMPs ↓, uPA ↓, CXCR4/SDF1 axis ↓ (model-dependent) Wound-healing programs can be affected (context-dependent) G Anti-invasive phenotype Partly downstream of cytoskeletal (vimentin) effects and NF-κB/TGF-β-linked programs; directionality can vary by tumor lineage and assay.
7 Glycolysis and HIF-1α HIF-1α ↓, glycolysis flux ↓, ATP ↓ (susceptible models) Usually ↔ at low exposure; metabolic stress possible at higher exposure G Metabolic vulnerability unmasking Often secondary to upstream stress (ROS/proteostasis) rather than a primary enzymatic inhibitor; interpret as (context-dependent).
8 Cell cycle checkpoint control Cell-cycle arrest ↑ (often G2/M reported), CDK/cyclin signaling ↓ Proliferating normal cells may also be sensitive at higher exposure G Anti-proliferative enforcement Common phenotype readout across WA studies; mechanistic “why” may differ by model (proteostasis vs ROS vs mitotic machinery/cytoskeleton).
9 NRF2 and antioxidant defense NRF2 ↓ and antioxidant enzymes ↓ reported in some cancer models; sometimes mixed ↔ NRF2 ↑ and antioxidant enzymes ↑ reported in some normal-tissue protection contexts G Redox buffering divergence Highly model-dependent; WA can behave as a stressor that either suppresses or activates NRF2-linked programs depending on timing, dose, and baseline redox state.
10 Clinical Translation Constraint Micromolar in-vitro dosing common; human oncology exposure/target engagement remains sparsely defined Supplement heterogeneity (WA content), drug-interaction risk, and organ-specific toxicity signals (notably liver; thyroid) constrain use Formulation + PK + safety gating Human data exist (phase I osteosarcoma; ongoing ovarian combo), but WA is not an approved anticancer drug and standardized products/target engagement biomarkers are not yet mature.

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



TGF-β, transforming growth factor-beta: Click to Expand ⟱
Source: HalifaxProj(inhibit) CGL-CS TCGA
Type:
Human malignancies frequently exhibit mutations in the TGF-β pathway, and overactivation of this system is linked to tumor growth by promoting angiogenesis and inhibiting the innate and adaptive antitumor immune responses.
Anti-inflammatory cytokine.
In normal tissues, TGF-β plays an essential role in cell cycle regulation, immune function, and tissue remodeling.
- In early carcinogenesis, TGF-β typically acts as a tumor suppressor by inhibiting cell proliferation and inducing apoptosis.

In advanced cancers, cells frequently become resistant to the growth-inhibitory effects of TGF-β.
- TGF-β then switches roles and promotes tumor progression by stimulating epithelial-to-mesenchymal transition (EMT), cell invasion, metastasis, and immune evasion.

Non-canonical (Smad-independent) pathways, such as MAPK, PI3K/Akt, and Rho signaling, also contribute to TGF-β-mediated responses.

Elevated levels of TGF-β have been detected in many advanced-stage cancers, including breast, lung, colorectal, pancreatic, and prostate cancers.
 - The switch from a tumor-suppressive to a tumor-promoting role is often associated with increased TGF-β production and activation in the tumor microenvironment.

High TGF-β expression or signaling activity is frequently correlated with aggressive disease features, resistance to therapy, increased metastasis, and poorer overall survival in many cancer types.


Scientific Papers found: Click to Expand⟱
1173- Ash,    Withaferin A inhibits proliferation of human endometrial cancer cells via transforming growth factor-β (TGF-β) signalling
- in-vitro, EC, K1 - in-vitro, Nor, THESCs
TumCP↓,
*toxicity↓, comparatively lower toxicity against the THESCs normal cells
Apoptosis↑,
TumCCA↑, G2/M cell cycle arrest
TumCMig↓, 53%
TumCI↓, 40%
p‑SMAD2↓,
TGF-β↓,
*toxicity↓, Cytotoxicity of withaferin A was comparatively lower against normal THESCs endometrial cells (IC50 value of 76 µM) when compared to cancerous KLE cells.

3155- Ash,    Overview of the anticancer activity of withaferin A, an active constituent of the Indian ginseng Withania somnifera
- Review, Var, NA
Half-Life↝, The pharmacokinetic study demonstrates that a dose of 4 mg/kg in mice results in 2 μM concentration in plasma (with a half-life of 1.3 h, in the breast cancer model of mice),
Inflam↓, WA has many biological activities: anti-inflammatory (Dubey et al. 2018), immunomodulatory (Davis and Girija 2000), antistress (Singh et al. 2016), antioxidant (Sumathi et al. 2007) and anti-angiogenesis
antiOx↓,
angioG↓,
ROS↑, WA induces oxidative stress (ROS) determining mitochondrial dysfunction as well as apoptosis in leukaemia cells
BAX↑, withaferin mediates apoptosis by ROS generation and activation of Bax/Bak.
Bak↑,
E6↓, The results of the study show that withaferin treatment downregulates the HPV E6 and E7 oncoprotein and induces accumulation of p53 result in the activation of various apoptotic markers (e.g. Bcl2, Bax, caspase-3 and cleaved PARP).
E7↓,
P53↑,
Casp3↑,
cl‑PARP↑,
STAT3↓, WA treatment also decreases the level of STAT3
eff↑, This study concludes that combination of DOX with WA can reduce the doses and side effects of the treatment which gives valuable possibilities for future research.
HSP90↓, by inhibiting the HSP90
TGF-β↓, WA inhibited TGFβ1 and TNFα- induced EMT;
TNF-α↓,
EMT↑,
mTOR↓, by downregulation of mTOR/STAT3 signalling.
NOTCH1↓, WA showed inhibition of pro-survival signalling markers (Notch1, pAKT and NFκB)
p‑Akt↓,
NF-kB↓,
Dose↝, WA dose escalation sets consisted of 72, 108, 144 and 216 mg, fractioned in 2-4 doses/day.


* 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

antiOx↓, 1,   ROS↑, 1,  

Cell Death

p‑Akt↓, 1,   Apoptosis↑, 1,   Bak↑, 1,   BAX↑, 1,   Casp3↑, 1,  

Protein Folding & ER Stress

HSP90↓, 1,  

DNA Damage & Repair

P53↑, 1,   cl‑PARP↑, 1,  

Cell Cycle & Senescence

TumCCA↑, 1,  

Proliferation, Differentiation & Cell State

EMT↑, 1,   mTOR↓, 1,   NOTCH1↓, 1,   STAT3↓, 1,  

Migration

p‑SMAD2↓, 1,   TGF-β↓, 2,   TumCI↓, 1,   TumCMig↓, 1,   TumCP↓, 1,  

Angiogenesis & Vasculature

angioG↓, 1,  

Immune & Inflammatory Signaling

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

Drug Metabolism & Resistance

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

Clinical Biomarkers

E6↓, 1,   E7↓, 1,  
Total Targets: 29

Pathway results for Effect on Normal Cells:


Functional Outcomes

toxicity↓, 2,  
Total Targets: 1

Scientific Paper Hit Count for: TGF-β, transforming growth factor-beta
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#:36  Target#:304  State#:%  Dir#:%
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