Repurposing oncology drugs for Alzheimer’s: multi-omic convergence targeting cell-cycle, proteostasis, immunometabolism, and senescence

Overview of the oncology-to-Alzheimer’s disease (AD) repurposing framework. Shared vulnerabilities between cancer and AD (cell cycle dysregulation, autophagy/mTOR, DNA repair, neuroinflammation, senescence) provide therapeutic entry points. Computational nomination integrates transcriptomic signature reversal (CMap/LINCS), network proximity, and machine-learning inference with real-world evidence (RWE). Hits are advanced through phenotypic high-content screening (HCS), pharmacokinetic/BBB triage, and biomarker-led validation (Aβ/tau reduction, synaptic and microglial restoration). Rational orthogonal combinations (e.g., senolytics + anti-inflammatories, TKIs + microglial modulators, IDO1 inhibitors, rapalogs, anti-Aβ antibodies) feed into adaptive clinical trial designs with cognitive and circuit-level endpoints. This end-to-end pipeline bridges mechanism, repurposing, and translation. Alzheimer’s disease (AD), the predominant dementia etiology, imposes a $1.5 trillion global burden in 2025, exacerbated by inexorable failures in amyloid-tau-centric monotherapies amid < 1 % trial success rates. This review synthesizes cross-disciplinary pathobiology underpinning oncology drug repurposing for AD, leveraging inverse epidemiological antagonism and convergent hallmarks: aberrant neuronal cell-cycle re-entry, proteostasis, mTORC1 hyperactivation impairing lysosomal flux, kynurenine pathway-driven immunometabolic decoupling, PARP1-mediated NAD + parthanatos, maladaptive neuroinflammation, and senescence-associated secretory phenotype (SASP)-amplified gliosis. Computational nomination pipelines—transcriptomic signature reversal, network proximity in multi-omic knowledge graphs, and ligand-based docking—prioritize pleiotropic oncology agents: c-Abl/Src TKIs enhancing autophagic Aβ/tau clearance; multikinase modulators resolving mast cell-microglial dyshomeostasis; rapalogs restoring proteostasis; IDO1 antagonists normalizing astrocytic lactate shuttling; PARPi mitigating genomic instability; HDACi reinstating synaptic epigenomes; and senolytics purging senescent glia. Phase I/II trials evince biomarker modulation with geriatric-adapted dosing, yet underscore translational hurdles: BBB penetration, off-target liabilities, and polypharmacy in APOE ε4-enriched cohorts. A precision roadmap advocates orthogonal combinations, delivery-first PBPK modeling, and biomarker-anchored adaptive platforms to recalibrate AD’s networked trajectory toward disease-modifying efficacy.

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Journal
Medicine in Drug Discovery
Published
2025-10-31
DOI
https://doi.org/10.1016/j.medidd.2025.100237
Primary Topic
Cancer-related cognitive impairment studies
Type
article
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article

Repurposing oncology drugs for Alzheimer’s: multi-omic convergence targeting cell-cycle, proteostasis, immunometabolism, and senescence

K. Gowri, Uddalak Das, S.T. Gopukumar, M. Karpakavalli et al.
Medicine in Drug Discovery
Cancer-related cognitive impairment studies
article

Repurposing oncology drugs for Alzheimer’s: multi-omic convergence targeting cell-cycle, proteostasis, immunometabolism, and senescence

K. Gowri, Uddalak Das, S.T. Gopukumar, M. Karpakavalli, Deepak Dwivedi, Chandralekha Nair, Digvijay Singh
article en

Abstract

Overview of the oncology-to-Alzheimer’s disease (AD) repurposing framework. Shared vulnerabilities between cancer and AD (cell cycle dysregulation, autophagy/mTOR, DNA repair, neuroinflammation, senescence) provide therapeutic entry points. Computational nomination integrates transcriptomic signature reversal (CMap/LINCS), network proximity, and machine-learning inference with real-world evidence (RWE). Hits are advanced through phenotypic high-content screening (HCS), pharmacokinetic/BBB triage, and biomarker-led validation (Aβ/tau reduction, synaptic and microglial restoration). Rational orthogonal combinations (e.g., senolytics + anti-inflammatories, TKIs + microglial modulators, IDO1 inhibitors, rapalogs, anti-Aβ antibodies) feed into adaptive clinical trial designs with cognitive and circuit-level endpoints. This end-to-end pipeline bridges mechanism, repurposing, and translation. Alzheimer’s disease (AD), the predominant dementia etiology, imposes a $1.5 trillion global burden in 2025, exacerbated by inexorable failures in amyloid-tau-centric monotherapies amid < 1 % trial success rates. This review synthesizes cross-disciplinary pathobiology underpinning oncology drug repurposing for AD, leveraging inverse epidemiological antagonism and convergent hallmarks: aberrant neuronal cell-cycle re-entry, proteostasis, mTORC1 hyperactivation impairing lysosomal flux, kynurenine pathway-driven immunometabolic decoupling, PARP1-mediated NAD + parthanatos, maladaptive neuroinflammation, and senescence-associated secretory phenotype (SASP)-amplified gliosis. Computational nomination pipelines—transcriptomic signature reversal, network proximity in multi-omic knowledge graphs, and ligand-based docking—prioritize pleiotropic oncology agents: c-Abl/Src TKIs enhancing autophagic Aβ/tau clearance; multikinase modulators resolving mast cell-microglial dyshomeostasis; rapalogs restoring proteostasis; IDO1 antagonists normalizing astrocytic lactate shuttling; PARPi mitigating genomic instability; HDACi reinstating synaptic epigenomes; and senolytics purging senescent glia. Phase I/II trials evince biomarker modulation with geriatric-adapted dosing, yet underscore translational hurdles: BBB penetration, off-target liabilities, and polypharmacy in APOE ε4-enriched cohorts. A precision roadmap advocates orthogonal combinations, delivery-first PBPK modeling, and biomarker-anchored adaptive platforms to recalibrate AD’s networked trajectory toward disease-modifying efficacy.

Medicine in Drug DiscoveryVol. 28
Central University of Punjab (IN), SRM Institute of Science and Technology (IN), Jawaharlal Nehru University (IN), University of Central Punjab (PK), Max Healthcare (IN), Centre for Multidisciplinary Research in Health Science (IT), Indian Institute of Science Bangalore (IN), Karpagam Academy of Higher Education (IN), Saveetha University (IN)
Openalex Percentile: Top 54%
Cancer-related cognitive impairment studies
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