Cancer / Oncology/Endometrial cancer
Gynecologic · type
Endometrial cancer
Clinical / Scientific
Endometrial carcinomas include endometrioid (PTEN/, ER) and serous-like (TP53 copy-number high) groups, plus MSI-high immune-visible disease. Metabolic syndrome is a strong epidemiologic partner of endometrioid disease; that does not make metformin an endometrial cancer drug.
Core Biological Drivers
PTEN / PI3K
Endometrioid map.
Estrogen signalling
Unopposed estrogen risk biology.
TP53
Serous-like tumours.
MSI
Immune-visible subset.
Key Pathways
Scientific explanation
phosphorylates PIP2 to PIP3, recruiting . supports growth, survival, glucose uptake and mTORC1 input. Pathway activation is common via PIK3CA mutation, PTEN loss or -tyrosine- signalling.
Scientific explanation
mTORC1 integrates growth-factor and nutrient signals to drive protein synthesis, lipid synthesis and suppression. It sits downstream of PI3K/AKT and amino-acid sensing.
Scientific explanation
ERα (ESR1) drives a large fraction of breast cancers via genomic and non-genomic signalling. ESR1 mutations and growth-factor crosstalk contribute to endocrine resistance.
Scientific explanation
TP53 encodes a stress-responsive factor controlling cell-cycle arrest, and metabolic adaptation. Loss or mutation is among the most common cancer events.
Scientific explanation
PD-1 on T cells engaging PD-L1/PD-L2 restrains cytotoxic function. Tumour or myeloid PD-L1 is a canonical adaptive immune-evasion axis.
Scientific explanation
Aerobic (Warburg metabolism) supports ATP, biomass and redox buffering even when oxygen is available. Hexokinase, PKM2 and lactate export are frequent nodes.
Scientific explanation
Canonical Wnt signalling stabilizes β-catenin, driving TCF/LEF . APC loss is a classic colorectal initiating event; the pathway also contributes to stemness in several tissues.
Pathway Convergence
Target → pathway → downstream effect → biological consequence. Shared intersections are mechanistic maps, not protocols.
Growth-factor signalling
Ligand or mutation-driven RTK input feeds PI3K/AKT and mTORC1, supporting anabolic growth. This is a map of signalling, not a treatment protocol.
Energy stress
Energetic stress activates AMPK, which can restrain mTORC1. Biguanides and related tools map onto this axis in models.
Inflammatory survival
Chronic cytokine tone activates NF-κB and STAT3 transcriptional programmes that favour survival, invasion and sometimes immune evasion.
Metabolic Vulnerabilities
Aerobic supports ATP, biomass and acidification even when oxygen is available. Extent varies by tumour and remains a vulnerability hypothesis rather than a uniform target.
/IGF and obesity-associated signalling reinforce .
Tumor Microenvironment
Disordered vasculature creates , HIF-1α stabilization, induction and immune-suppressive adenosine/lactate milieus.
Metastasis Module
, protease-mediated invasion, , circulating tumour-cell survival and organ-specific colonization form the metastatic cascade. Pre-metastatic niches and vascular permeability influence tropism.
Resistance Biology
persistence and endocrine-independent clones.
Cancer Stemness
Wnt, Notch, Hedgehog, ALDH and CD44-associated programmes can mark stem-like fractions with quiescence and therapy tolerance. These markers are not interchangeable across tumour types.
Mechanism-Based Adjunctive Strategies
Compounds appear only where a mechanistic overlap exists for this cancer. Evidence tiers are not equivalent. Nothing here is a treatment recommendation.
Target / Mechanism
Modest complex I inhibition raises AMP:ATP, activating and restraining hepatic and -linked anabolism. Direct antineoplastic efficacy is not established from that pharmacology alone.
Cancer relevance
activation and restraint provide a metabolic rationale in - and -linked tumours. Human data are mixed and do not establish metformin as cancer therapy.
Metabolic adjunctive research context. Convergence: AMPK, mTOR, Glycolysis.
Berberine
Target / Mechanism
Isoquinoline alkaloid that can inhibit complex I and activate in metabolic models, with additional -independent reports. Not an approved antineoplastic.
Cancer relevance
Complex I / pharmacology overlaps metformin-like energy stress in models. Bioavailability and lack of oncology indication keep this mechanistic.
Metabolic energy-stress hypothesis. Convergence: AMPK, mTOR, Mitochondrial oxidative phosphorylation.
Celecoxib
Target / Mechanism
Selective -2 reducing PGE2. Relevant to -associated epithelial neoplasia; cardiovascular risk and lack of broad anticancer approval constrain interpretation.
Cancer relevance
-2/PGE2 biology is relevant in some epithelial neoplasias. Cardiovascular risk and lack of broad anticancer approval apply. Do not equate polyp or biomarker studies with tumour cure.
Inflammation-associated epithelial neoplasia research. Convergence: COX / inflammatory signalling, Angiogenesis.
Statins (HMG-CoA reductase inhibitors)
Target / Mechanism
Inhibit HMG-CoA reductase, depleting mevalonate-pathway isoprenoids needed for RAS/RHO prenylation and some sterol-dependent growth programmes. Observational oncology signals are mixed and not a licence to treat cancer with statins.
Cancer relevance
Mevalonate-pathway blockade can affect prenylation of RAS-family GTPases. Observational human signals are mixed and confounding is substantial.
Mevalonate / prenylation mechanistic overlap. Convergence: RAS/RAF, Fatty-acid metabolism.
Curcumin
Target / Mechanism
Polyphenol with promiscuous in-vitro NF-κB, and ROS effects. Bioavailability is poor; dish activity does not establish clinical anticancer efficacy.
Cancer relevance
In-vitro NF-κB/ effects are frequent. Poor bioavailability and absence of robust clinical anticancer efficacy keep this pathway-level.
Inflammatory-signalling dish models. Convergence: NF-κB, JAK/STAT.
Research Context
- Hallmarks. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646-674. https://doi.org/10.1016/j.cell.2011.02.013
- Metformin oncology. Pollak MN. Investigating metformin for cancer prevention and treatment: the end of the beginning. Cancer Discov. 2012;2(9):778-790. https://doi.org/10.1158/2159-8290.CD-12-0263
- Checkpoints. Pardoll DM. The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer. 2012;12(4):252-264. https://doi.org/10.1038/nrc3239
This oncology atlas is educational. Pathway maps, adjunctive strategies, and compound listings describe mechanistic relevance. They do not establish clinical efficacy, do not recommend treatment, and are not a substitute for oncology care. Evidence tiers are not equivalent.