Evidence map›Paper›PMID 41070822›Full record

ArticleAdvanced healthcare materials2026

Cyclic Peptide-Polymer Conjugate Nanotubes for Delivery of SN-38 in Treatment of Colorectal Cancer Model.

Sophie K Hill, Min Zeng, Santhosh Kalash Rajendrakumar, Robert Dallmann, Sébastien Perrier

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Sophie K HillDepartment of Chemistry, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK.
Min ZengDepartment of Chemistry, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK.
Santhosh Kalash RajendrakumarDepartment of Chemistry, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK.
Robert DallmannWarwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Sébastien PerrierDepartment of Chemistry, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK.ORCID 0000-0001-5055-9046

Funding

Royal Society NIF∖R1∖212165UK Research and Innovation EP/X025896/1
6 · The paper itself

Abstract

Cyclic peptide-polymer conjugate nanotubes have been shown to be powerful drug delivery vectors, due to their propensity for dynamic self-assembly, high aspect ratio morphology and structural interchangeability. Building upon previous studies that demonstrate the shielding abilities of the polymeric corona of nanotubes to enhance pro-drug bond stabilities and modulate hydrolysis, here the concept of a hydrophobic core building block with multiple drug units to improve drug loading capacity and overall efficiency of the nanotube carriers is utilized. By leveraging the intermolecular features of the drug core to strengthen assembly, it is hypothesized that these nanotubes have the potential as a responsive supramolecular delivery system whereby upon full hydrolysis of the labile drug, these core forming interactions disappear, and nanotubes can fall apart and undergo clearance. Herein, the self-assembly, in vitro efficacy and in vivo pharmacokinetic and anti-tumor pharmacodynamics of these nanotubes in colorectal cancer models, comparing the potent topoisomerase inhibitor SN-38 with its clinically-used parent pro-drug irinotecan, is explored.

Indexed as

Colorectal NeoplasmsDrug CarriersDrug Delivery SystemsIrinotecanNanotubesPeptides, CyclicPolymersAnimalsCell Line, TumorHumansMiceDrug CarriersIrinotecanPeptides, CyclicPolymerscancer therapycolorectal cancercyclic peptidedrug deliverypeptide–polymer conjugates

Identifiers

PMID41070822
PMCPMC12836451

What OpenQuestion holds

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Registered trials

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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.