ArticleCell proliferation2026
Single-Cell and Spatial Analysis Reveal the Differences Between Left-Sided and Right-Sided Colorectal Cancer.
Article in Cell proliferation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Spatial omics of neuroinflammation: insights across brain diseases.Frontiers in immunology · 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
9 authors.
Funding
Abstract
Colorectal cancer (CRC) exhibits heterogeneity based on tumour laterality, with right-sided tumours demonstrating distinct genetic, immunogenic and clinical behaviours compared to left-sided counterparts. In this study, we conducted single-cell RNA sequencing and spatial transcriptomics to dissect the distinct molecular landscapes of left- and right-sided CRC. We identified enhanced germinal centre B cell infiltration and CXCL13
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What Socratic 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 Socratic graph.