ArticleCommunications biology2026
Spatial multiomics reveals irreversible electroporation-induced immuno-metabolic characteristics of the inflammatory margin in liver cancer.
Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Biological aging, circulating lipid biomarkers and pancreatic diseases: a prospective cohort study based on the UK Biobank.The journal of nutrition, health & aging · 2026Article
- Metabolic pattern changes of macrophages during cancer development and progression.Journal of translational medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although irreversible electroporation (IRE) is an approved ablation therapy for liver cancer, the border of the IRE-induced inflammatory margin (IM) remains poorly defined, posing a challenge for investigating IRE-specific immune and metabolic alterations within this area. To address this, we employed a male C57BL/6 orthotopic liver cancer model and integrated spatial transcriptomics, spatial metabolomics, single-cell RNA sequencing, and cytometry by time-of-flight (CyTOF). This multiomics approach enabled precise spatial mapping of the IM and revealed a pronounced infiltration of Ly6C
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.