ArticleFrontiers in immunology2023
An immune-related gene prognostic index for predicting prognosis in patients with colorectal cancer.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 17 citations in OpenAlex.
- The construction of a prognostic nomogram model for colorectal cancer and the prediction of immune characteristics and immune treatment responses based on the bioinformatics analysis of soluble mediator-related genes.Human vaccines & immunotherapeutics · 2025Article
- Molecular dynamics simulation and single-cell and spatial transcriptomics validate immune and prognostic biomarkers in colorectal cancer and construct a clinical prognostic model.Translational cancer research · 2025Article
- Integrating Primary and Metastatic scRNA-Seq and Bulk Data to Develop an Immune-Based Prognosis Signature for Colorectal Cancer.Current issues in molecular biology · 2025Article
- The Predictive Value of Neutrophil Extracellular Trap-Related Risk Score in Prognosis and Immune Microenvironment of Colorectal Cancer Patients.Molecular biotechnology · 2025Article
- Identification of a novel signature based on RNA methylation-associated anoikis-related genes for predicting prognosis and characterizing immune landscape in colorectal cancer.Discover oncology · 2025Article
- The role of tumor-associated macrophages in lung cancer.Frontiers in immunology · 2025Review
- Overcoming immune evasion with innovative multi-target approaches for glioblastoma.Frontiers in immunology · 2025Review
- Disulfidptosis as a key regulator of glioblastoma progression and immune cell impairment.Frontiers in immunology · 2025Article
- Circulating cell-free DNA methylation analysis of pancreatic cancer patients for early noninvasive diagnosis.Frontiers in oncology · 2025Article
- Molecular mechanisms and signaling pathways related to brain metastasis in breast cancer.Frontiers in pharmacology · 2025Review
- The role of Treg cells in colorectal cancer and the immunotherapy targeting Treg cells.Frontiers in immunology · 2025Review
- Development of a novel prognostic prediction model using mitochondrial-related genes and single-cell sequencing data for colorectal carcinoma.Translational gastroenterology and hepatology · 2025Article
- Construction and validation of a prognostic signature based on microvascular invasion and immune-related genes in hepatocellular carcinoma.Scientific reports · 2024Article
- Review
- Clinical data mining: challenges, opportunities, and recommendations for translational applications.Journal of translational medicine · 2024Review
- New insights into the mechanisms of the immune microenvironment and immunotherapy in osteosarcoma.Frontiers in immunology · 2024Review
- Anoikis resistance regulates immune infiltration and drug sensitivity in clear-cell renal cell carcinoma: insights from multi omics, single cell analysis andFrontiers in immunology · 2024Article
- Multi-omic validation of the cuproptosis-sphingolipid metabolism network: modulating the immune landscape in osteosarcoma.Frontiers in immunology · 2024Article
- Developing and validating a machine learning model to predict multidrug-resistantFrontiers in immunology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Colorectal cancer (CRC) is one of the most common solid malignant burdens worldwide. Cancer immunology and immunotherapy have become fundamental areas in CRC research and treatment. Currently, the method of generating Immune-Related Gene Prognostic Indices (IRGPIs) has been found to predict patient prognosis as an immune-related prognostic biomarker in a variety of tumors. However, their role in patients with CRC remains mostly unknown. Therefore, we aimed to establish an IRGPI for prognosis evaluation in CRC. Methods: RNA-sequencing data and clinical information of CRC patients were retrieved from The Cancer Genome Atlas (TCGA) and The Gene Expression Omnibus (GEO) databases as training and validation sets, respectively. Immune-related gene data was obtained from the Results: We identified 49 immune-related genes associated with the prognosis of CRC, 17 of which were selected for an IRGPI. The IRGPI model significantly differentiates the survival rates of CRC patients in the different groups. The IRGPI as an independent prognostic factor significantly correlates with clinico-pathological factors such as age and tumor stage. Furthermore, we developed a nomogram to improve the clinical utility of the IRGPI score. Immuno-correlation analysis in different IRGPI groups revealed distinct immune cell infiltration (CD4 Conclusion: Our study established a promising immune-related risk model for predicting survival in CRC patients. This could help to better understand the correlation between immunity and the prognosis of CRC providing a new perspective for personalized treatment of CRC.
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.