ArticleScientific reports2023
Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed, 41 citations in OpenAlex.
- Gut microbiota biomarkers of chronic kidney disease progression identified by 16S rDNA sequencing and machine learning.Renal failure · 2026Article
- Development and validation of venous thrombosis risk prediction model and scale for lung cancer patients in intensive care unit based on interpretable machine learning.Journal of thoracic disease · 2026Article
- Identification and Validation of Key Genes Related to Arginine Methylation Modification in Sepsis Using Transcriptome Combined with Mendelian Randomization Analysis.Shock (Augusta, Ga.) · 2026Article
- Diagnostic Value of Oxidative Stress-Related Features Mined by WGCNA and Machine Learning in Respiratory Syncytial Virus Infection.Advanced biology · 2026Article
- Development and Validation of Machine-Learning-Based Prediction Models for Thyroid Diseases During Pregnancy.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- Identification and experimental validation of biomarkers associated with exercise in intervertebral disc degeneration through bulk RNA and single-cell RNA sequencing analysis.Scientific reports · 2026Article
- Identification and validation of palmitoylation-associated biomarkers in major depressive disorder.Scientific reports · 2026Article
- Unraveling 'F' factor: towards a genetic-clinical framework for the musculoskeletal-heart crosstalk in metabolic aging.Cardiovascular diabetology · 2026Article
- Mitochondrial dysfunction and programmed cell death in Alzheimer's disease: A retrospective bioinformatics study.Medicine · 2026Article
- Integrating network toxicology, machine learning, and molecular dynamics simulations to reveal tanshinone iia's dual mechanisms in TNBC and doxorubicin-induced cardiotoxicity.Scientific reports · 2026Article
- DNA methylation-mediated silencing of MEOX1 promotes glycolysis and immune evasion in colorectal cancer cells through inhibition of GLP2R transcription.Cell & bioscience · 2026Article
- Integrated transcriptome and single-cell RNA sequencing identifies small GTPase-associated biomarkers in ulcerative colitis.Frontiers in immunology · 2026Article
- Exploring the potential of gut microbiota metabolites in the treatment of endometriosis through network pharmacology and Mendelian randomization.Frontiers in microbiology · 2026Article
- Synergistic effect of insulin resistance and glycemic variability on mortality in ICU patients with gastrointestinal bleeding: impact of the TyG-GVI index and development of an explainable web-based clinical calculator.Frontiers in endocrinology · 2026Article
- Utilising bioinformatics and molecular docking technology to explore the underlying mechanisms of intervertebral disc degeneration with potential therapeutic drugs and formulas.Journal of global health · 2025Article
- Machine learning-driven multi-targeted drug discovery in colon cancer using biomarker signatures.NPJ precision oncology · 2025Article
- A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction.NPJ digital medicine · 2025Article
- Screening biomarkers related to cholesterol metabolism in osteoarthritis based on transcriptomics.Scientific reports · 2025Article
- Transcriptomics-based exploration of ubiquitination-related biomarkers and potential molecular mechanisms in laryngeal squamous cell carcinoma.BMC medical genomics · 2025Article
- Machine learning-based characterization of stemness features and construction of a stemness subtype classifier for bladder cancer.BMC cancer · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is the third most prevalent cancer type and accounts for nearly one million deaths worldwide. The CRC mRNA gene expression datasets from TCGA and GEO (GSE144259, GSE50760, and GSE87096) were analyzed to find the significant differentially expressed genes (DEGs). These significant genes were further processed for feature selection through boruta and the confirmed features of importance (genes) were subsequently used for ML-based prognostic classification model development. These genes were analyzed for survival and correlation analysis between final genes and infiltrated immunocytes. A total of 770 CRC samples were included having 78 normal and 692 tumor tissue samples. 170 significant DEGs were identified after DESeq2 analysis along with the topconfects R package. The 33 confirmed features of importance-based RF prognostic classification model have given accuracy, precision, recall, and f1-score of 100% with 0% standard deviation. The overall survival analysis had finalized GLP2R and VSTM2A genes that were significantly downregulated in tumor samples and had a strong correlation with immunocyte infiltration. The involvement of these genes in CRC prognosis was further confirmed on the basis of their biological function and literature analysis. The current findings indicate that GLP2R and VSTM2A may play a significant role in CRC progression and immune response suppression.
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.