Evidence map›Paper›PMID 41543596›Full record

ReviewCell and tissue research2026

Connexin-Pannexin duality in glioblastoma.

Rehanna Kanji, Silvia Penuela, Marc Mesnil

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cell and tissue research, 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. 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

3 authors.

Rehanna KanjiDepartment of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, N6A 5C1, Canada.
Silvia PenuelaDepartment of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, N6A 5C1, Canada. spenuela@uwo.ca.
Marc MesnilCoMeT Laboratory, Université de Poitiers, Poitiers, UR, 24344, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most aggressive primary brain tumour in adults, characterized by extensive heterogeneity and diffuse invasion. Increasing evidence highlights the role of channel-forming proteins in glioma biology. Connexins (Cxs) and Pannexins (Panxs) are two structurally related yet functionally distinct protein families that mediate cellular communication. While both regulate overlapping processes such as ion homeostasis and ATP release, only Cxs are capable of readily forming intercellular gap junctions. Cx43 is the most extensively studied connexin in GBM and seems to display paradoxical roles, acting as a tumour suppressor by reducing proliferation while promoting invasion. In contrast, Panx1 predominantly supports tumour progression, while Panx2 exerts tumour-suppressive effects. This review synthesizes how Cxs and Panxs exert context-dependent and sometimes opposing effects across stages of GBM, including proliferation and invasion, and examines how divergent experimental models may contribute to apparent contradictions. Discrepancies among studies often arise from differences in model systems, which may not recapitulate the complexity of human GBM. Given the profound heterogeneity of this tumour, future research should prioritize patient-derived and three-dimensional models that more accurately represent the human disease context. Such approaches will be essential to clarify the context-dependent functions of Cxs and Panxs and their potential as therapeutic targets in GBM.

Indexed as

Brain NeoplasmsConnexinsGlioblastomaNerve Tissue ProteinsAnimalsHumansConnexinsNerve Tissue ProteinsConnexinGBMGlioblastomaPannexin

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.