ArticleBiology2025
Pathway-Specific Insights into Colorectal Cancer Through Comprehensive Multi-Omics Data Integration.
Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- A network toxicology and machine learning approach to uncover the molecular machinery of bisphenol A-induced colorectal cancer.Scientific reports · 2026Article
- Microbial dysbiosis drives colorectal carcinogenesis via integrated inflammatory, metabolic, and biofilm pathways.Frontiers in microbiology · 2026Review
- Virulome over taxonomy: refining the driver-passenger model in colorectal carcinogenesis.Frontiers in cellular and infection microbiology · 2026Review
- Oral microbiome contribution in colorectal carcinogenesis: polymicrobial interactions and virulence determinants.Frontiers in cellular and infection microbiology · 2026Review
- The gut microbiome in colorectal anastomotic leakage: from mechanisms to precision.Frontiers in 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
4 authors.
Funding
Abstract
Thousands of biomarkers have been discovered to solve the mechanisms of cancer, but dynamic alterations in the parameters that affect cancer progression cause complex disease status. Therefore, it is essential when dealing with cancer to analyze all parameters, including pathway information, to understand the disease mechanism of action. In our study, we applied multi-omics data integration for microbiome, transcriptome, and microbial pathway datasets obtained from colorectal cancer patients. The
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.