Pancreatic cancer

Clinical / Scientific

PDAC is defined by KRAS mutation in most cases, plus CDKN2A, TP53 and SMAD4 losses, intense desmoplasia, , dependence and immune exclusion. Core pathway maps were shown by global genomic analyses. Stromal and metabolic adjuncts are mechanistically salient; they are not substitutes for oncology care.

Core Biological Drivers

KRAS

Near-universal initiating .

CDKN2A / TP53 / SMAD4

Sequential suppressor loss.

Desmoplastic stroma

CAF/TGF-β compression.

Autophagy dependence

Nutrient scavenging in a harsh matrix.

Key Pathways

RAS/RAF

Scientific explanation

RAS GTPases and RAF kinases are frequent oncogenic nodes. KRAS, NRAS and BRAF mutations lock mitogenic signalling on in a ligand-independent way in many tumours.

MAPK/ERK

Scientific explanation

The RAS–RAF–MEK–ERK cascade transmits mitogenic RTK signals to programmes for proliferation and differentiation.

PI3K/AKT

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.

TGF-β

Scientific explanation

TGF-β is cytostatic in intact epithelium but later supports , immune suppression and stromal . Context switches its role during progression.

Autophagy

Scientific explanation

recycles organelles and can support survival under nutrient or therapy stress. Context determines tumour-suppressive versus therapy-protective roles.

Glycolysis

Scientific explanation

Aerobic (Warburg metabolism) supports ATP, biomass and redox buffering even when oxygen is available. Hexokinase, PKM2 and lactate export are frequent nodes.

Glutaminolysis

Scientific explanation

Glutamine supplies nitrogen and anaplerotic carbon via glutaminase and glutamate dehydrogenase, supporting nucleotide synthesis and TCA replenishment in MYC-driven and other tumours.

HIF-1α

Scientific explanation

-inducible factors stabilize when oxygen is low, shifting toward , and survival.

VEGF

Scientific explanation

family ligands drive endothelial sprouting and vascular permeability, a canonical tumour axis.

PD-1 / PD-L1

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.

EMT

Scientific explanation

Epithelial–mesenchymal plasticity, driven by TWIST/SNAIL/ZEB and TGF-β/Wnt/Notch inputs, reduces adhesion and increases motility and stem-like features.

Cancer stemness

Scientific explanation

Stem-like programmes (Wnt, Notch, Hedgehog, ALDH, CD44) can support self-renewal, quiescence and therapy tolerance in a minority population.

Hippo / YAP

Scientific explanation

Hippo signalling restrains YAP/TAZ transcriptional co-activators. NF2 loss, common in mesothelioma, derepresses YAP-driven growth programmes.

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.

Receptor tyrosine kinase
↓
PI3K/AKT
↓
mTOR
↓
Protein synthesis / growth

Hypoxia to vessels

Low oxygen stabilizes HIF-1α, inducing VEGF and endothelial sprouting. Anti-angiogenic pharmacology intersects this axis but does not erase the tumour ecosystem.

Hypoxia
↓
HIF-1α
↓
VEGF
↓
Angiogenesis

Stroma and TGF-β

Desmoplastic stroma and TGF-β can compress vessels and exclude T cells. Stromal adjuncts aim at the neighbourhood, not at a single oncogene.

Cancer-associated fibroblasts
↓
TGF-β
↓
Matrix stiffness / vessel compression
↓
Immune exclusion

Energy stress

Energetic stress activates AMPK, which can restrain mTORC1. Biguanides and related tools map onto this axis in models.

Complex I / ATP stress
↓
AMPK
↓
mTOR restraint
↓
Reduced anabolism

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.

Glutamine anaplerosis and nucleotide nitrogen demand are prominent in MYC-high and rapidly proliferating tumours. Dependence is heterogeneous.

Macropinocytosis and scavenge extracellular protein in KRAS-PDAC models.

Tumor Microenvironment

Cancer-associated fibroblasts, TGF-β and extracellular-matrix stiffness can compress vessels and exclude T cells, especially in desmoplastic tumours.

Disordered vasculature creates , HIF-1α stabilization, induction and immune-suppressive adenosine/lactate milieus.

Tumour-associated macrophages and myeloid-derived suppressor cells secrete cytokines that support invasion and blunt cytotoxic T cells.

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

Stromal drug exclusion, KRAS persistence, -mediated survival and .

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.

Losartan

Early ClinicalIn VivoMechanistically Plausible

Target / Mechanism

AT1- . In desmoplastic models, angiotensin blockade can reduce TGF-β-linked stromal compression and improve perfusion; this is adjunctive stromal biology, not cytotoxic oncology.

Cancer relevance

AT1 blockade can reduce TGF-β-linked desmoplasia and improve perfusion in models, notably pancreatic. Stromal decompression is not cytotoxicity.

Stroma / perfusion adjunctive research. Convergence: TGF-β, Angiogenesis.

Candesartan

In VivoMechanistically Plausible

Target / Mechanism

ARBs share AT1-blockade biology with losartan. Tumour- hypotheses are class-level and not tumour-type-proven treatments.

Cancer relevance

ARBs share AT1-blockade stromal hypotheses with losartan. Class-level biology is not tumour-type-proven treatment.

Stroma / TGF-β class-level research. Convergence: TGF-β, Angiogenesis.

Hydroxychloroquine

Early ClinicalIn VivoIn Vitro

Target / Mechanism

Lysosomotropic agent that raises endosomal/autophagosomal pH, impairing flux. Combination trials in oncology have been mixed; blockade is not equivalent to proven benefit.

Cancer relevance

Lysosomal pH elevation impairs flux. Early combination trials exist; benefit is not established and toxicity/retinal risk remain labelled concerns.

Autophagy-modulation research combinations. Convergence: Autophagy.

Metformin

Clinical / Human EvidenceIn VivoIn VitroMechanistically Plausible

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.

Mebendazole

In VitroIn VivoMechanistically Plausible

Target / Mechanism

Benzimidazole that binds β-. Mammalian disruption, mitotic arrest and related signalling in cancer models are preclinical and are not an approved anticancer use.

Cancer relevance

disruption can trigger mitotic stress and in cell and animal models. This is not an established oncology use.

Experimental antimitotic / microtubule stress. Convergence: Apoptosis, p53.

Niclosamide

In VitroIn VivoMechanistically Plausible

Target / Mechanism

uncoupler in cestodes; mammalian models report , Wnt/β-catenin and modulation. Those host-signalling findings are investigational/preclinical.

Cancer relevance

Models report Wnt/β-catenin, and effects. Host signalling findings remain investigational.

Wnt / STAT3 signalling models. Convergence: Wnt/β-catenin, JAK/STAT, mTOR.

Curcumin

In VitroMechanistically Plausible

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.

Disulfiram

In VitroIn VivoEarly Clinical

Target / Mechanism

ALDH ; copper-complexed forms can inhibit proteasome and NF-κB-related survival programmes in models. Clinical oncology evidence remains limited.

Cancer relevance

ALDH and copper-dependent proteasome/NF-κB stress in models; clinical oncology remains limited.

ALDH / redox experimental context. Convergence: Cancer stemness, NF-κB, Oxidative stress.

Doxycycline

In VitroIn VivoMechanistically Plausible

Target / Mechanism

Tetracycline antibiotic that can inhibit matrix metalloproteinases and, at experimental exposures, protein synthesis. Oncology uses remain investigational.

Cancer relevance

MMP inhibition and experimental effects map to invasion and stem-like states in models.

Anti-invasive / mitochondrial experimental context. Convergence: Invasion, Cancer stemness, Mitochondrial oxidative phosphorylation.

Berberine

In VitroIn VivoMechanistically Plausible

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.

Research Context

  1. Pancreatic pathways. Jones S, et al. Core signaling pathways in human pancreatic cancers revealed by global genomic analyses. Science. 2008;321(5897):1801-1806. https://doi.org/10.1126/science.1164368
  2. Warburg. Vander Heiden MG, Cantley LC, Thompson CB. Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science. 2009;324(5930):1029-1033. https://doi.org/10.1126/science.1160809
  3. 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
  4. Resistance. Holohan C, Van Schaeybroeck S, Longley DB, Johnston PG. Cancer drug resistance: an evolving paradigm. Nat Rev Cancer. 2013;13(10):714-726. https://doi.org/10.1038/nrc3599

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.