ArticlemSystems2026
Integrative microbiome-methylome analysis links bacterial taxa to colorectal cancer histological subtypes.
Article in mSystems, 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
21 authors.
Funding
Abstract
Colorectal cancer (CRC) arises through distinct molecular and histological routes that may be shaped by interactions between the mucosa-associated microbiota and host epigenetic regulation. We analyzed paired tumor and adjacent non-tumor colorectal mucosa from CRC patients stratified by histological subtype (conventional vs serrated-pathway groups). Microbiota composition was profiled by Illumina sequencing, and host DNA methylation was assessed using genome-wide CpG arrays with targeted validation. Alpha diversity showed modest tumor-non-tumor differences, with variation by anatomical location driven by distal tumors. Differential abundance testing identified tumor-associated genera, and linear discriminant modeling highlighted taxa with high discriminatory power, including
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.