Evidence map›Paper›PMID 42827180›Full record

ReviewNaunyn-Schmiedeberg's archives of pharmacology2026

Ciprofloxacin beyond antibacterial therapy: pharmacological mechanisms, anticancer activity, and translational limitations.

Rezvan Tahmasbi, Mohammad Khalaj-Kondori, Arezu Karimpur-Zahmatkesh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rezvan TahmasbiDepartment of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.
Mohammad Khalaj-KondoriDepartment of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran. khalaj@tabrizu.ac.ir.
Arezu Karimpur-ZahmatkeshDepartment of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ciprofloxacin is a widely used fluoroquinolone antibiotic whose biological effects extend beyond bacterial DNA gyrase and topoisomerase IV inhibition. Accumulating preclinical evidence suggests that ciprofloxacin can modulate mammalian cellular pathways involved in tumor growth, regulated cell death, inflammation, and tissue homeostasis. This narrative review summarizes PubMed-indexed evidence on the pharmacological effects of ciprofloxacin beyond antibacterial activity, focusing on DNA and topoisomerase-related mechanisms, mitochondrial dysfunction, apoptosis, cell-cycle regulation, oxidative stress, ferroptosis, autophagy, inflammatory signaling, and tissue remodeling. Evidence concerning the parent ciprofloxacin molecule is considered separately from that involving chemical derivatives, conjugates, nanoparticles, and combination regimens. Overall, the available evidence suggests that the effects of ciprofloxacin on cancer cells and host pathways are context-dependent. However, most of the evidence remains preclinical, and the clinical relevance of concentrations used in many studies remains uncertain. Established fluoroquinolone-associated toxicities should also be considered when evaluating its potential for drug repurposing. Ciprofloxacin may therefore warrant further pharmacological investigation, but it should not yet be considered an established anticancer or host-directed therapy.

Indexed as

ApoptosisAutophagyCancerCiprofloxacinDrug repurposingFerroptosisMolecular pharmacologyToxicity

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.