ArticleCancers2026
From Infection to Oncology: AI-Assisted Drug Repurposing Uncovers Anti-Infective and Excipient-Class Compounds as PPAR-α-Linked Anticancer Agents.
Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
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Authors and funding
5 authors.
Funding
Abstract
Drug repurposing offers an efficient strategy to identify novel anticancer agents from marketed compounds. We screened a library of ~1400 approved drugs using a PPARE-PPAR-α luciferase reporter assay to uncover modulators of lipid metabolism that induce cancer cell death without direct binding to PPARα. This primary screen identified 224 compounds inhibiting reporter activity by >50%, of which 26 demonstrated ≥50% cytotoxicity in KAIMRC1 breast cancer and HCT116 colorectal cancer cells at 10 µM after 48 h incubation. AI-based DrTarget analysis classified these hits, with Group 1 comprising four previously unrecognized anticancer agents: antibiotics cefditoren pivoxil, tebipenem pivoxil, broxyquinoline, and cosmetic ingredient 1-hexadecanol. Dose-response studies across KAIMRC1, HCT116, and SW480 cells revealed IC
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Registered trials
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