ArticleNAR genomics and bioinformatics2021
Evolutionary genetic algorithm identifies
Article in NAR genomics and bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 21 citations in OpenAlex.
- Structural insights into antibody responses against influenza A virus in its natural reservoir.bioRxiv : the preprint server for biology · 2026Article
- 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
- Prognostic value of natural killer T cell related genes in acute myeloid leukemia.Cancer cell international · 2025Article
- Integration of single-cell and bulk RNA-sequencing data to construct and validate a signature based on NK cell marker genes to predict immunotherapy response and prognosis in colorectal cancer.Discover oncology · 2025Article
- Establishing a Ten Disulfidptosis-related Gene Signature for Prognostic Prediction in Skin Cutaneous Melanoma.Combinatorial chemistry & high throughput screening · 2025Article
- A gene selection algorithm for microarray cancer classification using an improved particle swarm optimization.Scientific reports · 2024Article
- Article
- The Immune Microenvironment Landscape of Pituitary NeuroEndocrine Tumors, a Transcriptomic Approach.Genes · 2024Article
- Machine-learning-based classification of diffuse large B-cell lymphoma patients by a 7-mRNA signature enriched with immune infiltration and cell cycle.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Article
- The efficacy-associated biomarkers for immune checkpoint inhibitors in gastrointestinal cancer: a literature review.Journal of gastrointestinal oncology · 2024Review
- Immune Subtypes and Characteristics of Endometrial Cancer Based on Immunogenes.Cancer management and research · 2024Article
- Use of Transcriptomics to Reveal the Joint Immunotoxicity Mechanism Initiated by Difenoconazole and Chlorothalonil in the Human Jurkat T-Cell Line.Foods (Basel, Switzerland) · 2023Article
- Using AI-Based Evolutionary Algorithms to Elucidate Adult Brain Tumor (Glioma) Etiology Associated with IDH1 for Therapeutic Target Identification.Current issues in molecular biology · 2022Article
- A Review of Emerging Biomarkers for Immune Checkpoint Inhibitors in Tumors of the Gastrointestinal Tract.Medical science monitor : international medical journal of experimental and clinical research · 2022Review
- Identification and validation of a prognostic risk-scoring model based on sphingolipid metabolism-associated cluster in colon adenocarcinoma.Frontiers in endocrinology · 2022Article
- Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis.Journal of healthcare engineering · 2022Article
- IL2RB Is a Prognostic Biomarker Associated with Immune Infiltrates in Pan-Cancer.Journal of oncology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 1 institution in 1 country.
Funding
Abstract
Identifying robust predictive biomarkers to stratify colorectal cancer (CRC) patients based on their response to immune-checkpoint therapy is an area of unmet clinical need. Our evolutionary algorithm Atlas Correlation Explorer (ACE) represents a novel approach for mining The Cancer Genome Atlas (TCGA) data for clinically relevant associations. We deployed ACE to identify candidate predictive biomarkers of response to immune-checkpoint therapy in CRC. We interrogated the colon adenocarcinoma (COAD) gene expression data across nine immune-checkpoints (
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.