ArticleBiology2026
A Bioinformatics Analysis Based on Omics and Clinical Data for Graph-Based Patient Stratification in Hepatocellular Carcinoma.
Article in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Hepatocellular carcinoma (HCC) is one of the most frequent and lethal malignancies worldwide, with substantial molecular and clinical heterogeneity that complicates prognostic assessment. We aimed to identify molecular subgroups with distinct prognostic profiles using a graph-based multi-omics approach. Similarity Network Fusion (SNF) was applied to integrate mRNA and miRNA sequencing data from the TCGA-LIHC cohort (366 patients), and spectral clustering on the fused similarity network was used to identify patient subgroups. Survival differences were assessed by log-rank test and Cox regression; subgroup characterisation combined direction-aware over-representation analysis and one-versus-all differential expression. Six clusters with distinct survival trajectories were identified in the discovery cohort (exploratory log-rank
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.