Evidence map›Paper›PMID 40238874›Full record

ArticleScience advances2025

In vivo and in situ monitoring of doxorubicin pharmacokinetics with an implantable bioresorbable optical sensor.

Martina Corsi, Elena Maurina, Salvatore Surdo, Eleonora Vandini, Eleonora Daini, Antonietta Vilella, Giuseppina Leo, Moein Farshchian, Giulia Grisendi, Giulia Golinelli and 4 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
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

14 authors.

Martina CorsiDepartment of Information Engineering, University of Pisa, via G. Caruso 16, 56122 Pisa, Italy.ORCID 0000-0001-6802-3100
Elena MaurinaDepartment of Information Engineering, University of Pisa, via G. Caruso 16, 56122 Pisa, Italy.ORCID 0000-0003-1017-7291
Salvatore SurdoDepartment of Information Engineering, University of Pisa, via G. Caruso 16, 56122 Pisa, Italy.ORCID 0000-0002-0779-5251
Eleonora VandiniDepartment of Biomedical Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via G. Campi 287, 41125 Modena, Italy.
Eleonora DainiDepartment of Biomedical Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via G. Campi 287, 41125 Modena, Italy.ORCID 0000-0002-4020-1179
Antonietta VilellaDepartment of Biomedical Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via G. Campi 287, 41125 Modena, Italy.
Giuseppina LeoDepartment of Biomedical Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via G. Campi 287, 41125 Modena, Italy.ORCID 0000-0001-5972-2268
Moein FarshchianDepartment of Medical and Surgical Science for Children and Adults, University Hospital of Modena and Reggio Emilia, Via del Pozzo, 71, 41124 Modena, Italy.ORCID 0000-0002-1228-048X
Giulia GrisendiDepartment of Medical and Surgical Science for Children and Adults, University Hospital of Modena and Reggio Emilia, Via del Pozzo, 71, 41124 Modena, Italy.ORCID 0000-0002-0120-6129
Giulia GolinelliDepartment of Medical and Surgical Science for Children and Adults, University Hospital of Modena and Reggio Emilia, Via del Pozzo, 71, 41124 Modena, Italy.ORCID 0000-0003-2494-3778
Massimo DominiciDepartment of Medical and Surgical Science for Children and Adults, University Hospital of Modena and Reggio Emilia, Via del Pozzo, 71, 41124 Modena, Italy.
Guido BocciDepartment of Translational Research and New Technologies in Medicine and Surgery School of Medicine, University of Pisa, Via Risorgimento 36, 56126 Pisa, Italy.ORCID 0000-0001-7120-9141
Daniela GiulianiDepartment of Biomedical Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via G. Campi 287, 41125 Modena, Italy.ORCID 0000-0001-6061-5662
Giuseppe BarillaroDepartment of Information Engineering, University of Pisa, via G. Caruso 16, 56122 Pisa, Italy.ORCID 0000-0001-6197-4851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer treatment, particularly chemotherapy, requires balancing efficacy and toxicity. Although traditional monitoring methods can lead to suboptimal outcomes, emerging implantable chemical sensors can complement them by providing precise, real-time drug monitoring at tumor sites, although the technology remains in its early stages. Here, we introduce an ultrathin, bioresorbable implantable biosensor for real-time doxorubicin monitoring in vivo with high spatiotemporal resolution. The sensor amplifies the drug's fluorescence, enabling successful tracking of doxorubicin through the skin in live mice following intravenous injection. When paired with a reusable electronic patch, the biosensor facilitates seamless data collection and wireless transmission. A 3-month biocompatibility study, including systemic toxicity assessments, histological and blood analyses, confirms complete biodegradation with no observed toxicity. By directly measuring chemotherapeutic drug levels in tissues over time, our sensor enhances traditional monitoring methods, enabling clinicians to optimize dosing during cancer treatment and reduce the risk of locoregional recurrence following tumor removal.

Indexed as

Absorbable ImplantsAntibiotics, AntineoplasticBiosensing TechniquesDoxorubicinDrug MonitoringAnimalsHumansMiceAntibiotics, AntineoplasticDoxorubicin

Identifiers

PMID40238874
PMCPMC12002126

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.