ReviewNature reviews. Genetics2019
Next-generation computational tools for interrogating cancer immunity.
Review in Nature reviews. Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.
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
84 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group.Annals of oncology : official journal of the European Society for Medical Oncology · 2020Pooled it
- Trial
- Distinct Stromal and Immune Features Collectively Contribute to Long-Term Survival in Pancreatic Cancer.Frontiers in immunology · 2021Trial
- Self-Assembling Peptide-Adjuvant Conjugate (SaPAC) Platform for Precision Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The promises and challenges of neoantigen cancer vaccines.Nature biotechnology · 2026Review
- Profiling adaptive immunity: A quantitative framework for immune repertoire dynamics and clinical diagnostics.Fundamental research · 2026Article
- omnideconv: a unifying framework for using and benchmarking single-cell-informed deconvolution of bulk RNA-seq data.Genome biology · 2026Article
- Nanotechnology-Driven Drug Delivery Systems for Lung Cancer: Computational Advances and Clinical Perspectives.Thoracic cancer · 2025Review
- Analyze the Diversity and Function of Immune Cells in the Tumor Microenvironment From the Perspective of Single-Cell RNA Sequencing.Cancer medicine · 2025Review
- Advances and challenges in neoantigen prediction for cancer immunotherapy.Frontiers in immunology · 2025Review
- Advances in neoantigen-based immunotherapy for head and neck squamous cell carcinoma: a comprehensive review.Frontiers in oncology · 2025Review
- Cell-type deconvolution for bulk RNA-seq data using single-cell reference: a comparative analysis and recommendation guideline.Briefings in bioinformatics · 2024Article
- Prognostic Protein Biomarker Screening for Thyroid Carcinoma Based on Cancer Proteomics Profiles.Biomedicines · 2024Article
- Article
- Review
- Type I interferon signaling promotes radioresistance in head and neck cancer.Translational cancer research · 2024Article
- Respiratory Syncytial Virus Vaccine Design Using Structure-Based Machine-Learning Models.Viruses · 2024Article
- Circulation immune cell landscape in canonical pathogenesis of colorectal adenocarcinoma by CyTOF analysis.iScience · 2024Article
- Review
- TCellR2Vec: efficient feature selection for TCR sequences for cancer classification.PeerJ. Computer science · 2024Article
24 more citing papers are in PubMed but not listed here.
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
The remarkable success of cancer therapies with immune checkpoint blockers is revolutionizing oncology and has sparked intensive basic and translational research into the mechanisms of cancer-immune cell interactions. In parallel, numerous novel cutting-edge technologies for comprehensive molecular and cellular characterization of cancer immunity have been developed, including single-cell sequencing, mass cytometry and multiplexed spatial cellular phenotyping. In order to process, analyse and visualize multidimensional data sets generated by these technologies, computational methods and software tools are required. Here, we review computational tools for interrogating cancer immunity, discuss advantages and limitations of the various methods and provide guidelines to assist in method selection.
Indexed as
Identifiers
31515541What 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.