Evidence map›Paper›PMID 41836519›Full record

ArticleAPL bioengineering2026

Closing the loop on glioblastoma: A roadmap toward developing bioelectronics for continuous monitoring of tumor state.

Ester Clarisse do Couto Lopes, Joshua P A Daoud, Alexandra Collisson, Ariadni Georgiannakis, Joshua Killilea, Cédric M John, Dimitrios Paraskevopoulos, Christopher A R Chapman

Abstract read
In one paragraph

Article in APL bioengineering, 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

8 authors.

Ester Clarisse do Couto LopesSchool of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0009-0002-1960-6849
Joshua P A DaoudSchool of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0009-0006-0467-3191
Alexandra CollissonSchool of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0009-0003-6984-1916
Ariadni GeorgiannakisBlizard Institute, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0000-0002-8521-0511
Joshua KillileaDepartment of Bioengineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0009-0009-6952-6397
Cédric M JohnDigital Environment Research Institute, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9711-1548
Christopher A R ChapmanSchool of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0000-0002-9009-0139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Closed-loop bioelectronic devices offer a promising platform for responsive treatment to heterogeneous disease states. Glioblastoma, an aggressive form of brain cancer, has recently emerged as a focus of bioelectronic medicine through delivery of electrotherapies. This perspective article posits that true progress in the management of this extremely heterogeneous disease requires the integration of continuous monitoring from the tumor microenvironment as well as on-device analytics to enact closed-loop control. Four promising candidate biological changes present in the glioblastoma microenvironment are highlighted (local field potentials, bioimpedance, local pH, biomarkers) alongside the bioelectronic sensors that can enable the development of multifunctional bioelectronic devices to monitor the changes. Finally, three key principles (patient involvement, data analytics, and device fabrication) governing the successful implementation of closed-loop sensors are proposed to create a roadmap for academics and industry partners to successfully develop multimodal devices for the treatment of glioblastoma.

Identifiers

PMID41836519
PMCPMC12988838

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.