ArticleCancer immunology research2018
ImmunoMap: A Bioinformatics Tool for T-cell Repertoire Analysis.
Article in Cancer immunology research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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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.
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Who cites it
36 citing papers in PubMed.
- Radiotherapy induces responses of lung cancer to CTLA-4 blockade.Nature medicine · 2018Trial
- Decoding immunotherapy response through computational modeling.Nature communications · 2026Review
- AI-driven computational methods and benchmarking for T-cell antigen identification.Briefings in bioinformatics · 2026Review
- Decoding adaptive immunity: advanced strategies in T and B cell repertoire analysis.Journal of translational medicine · 2026Review
- Multimodal tumor thermal therapy enhances antitumor immunity by expanding tumor-reactive CX3CR1⁺GPR56⁺ T cells in hepatocellular carcinoma.Theranostics · 2026Article
- Divergent transcriptional states and kinetics of circulating tumor-infiltrating lymphocyte repertoires with highly homologous T-cell receptor sequences in a patient during immunotherapy.Journal for immunotherapy of cancer · 2025Article
- Unraveling the role of coagulation-related genes in esophageal squamous cell carcinoma: development of a prognostic model and exploration of potential clinical significance.Frontiers in oncology · 2025Article
- Predicting Antigen-Specificities of Orphan T Cell Receptors from Cancer Patients with TCRpcDist.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Human TCR repertoire in cancer.Cancer medicine · 2024Review
- Computational immunogenomic approaches to predict response to cancer immunotherapies.Nature reviews. Clinical oncology · 2024Review
- Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy.Frontiers in immunology · 2024Review
- Signatures of T cell immunity revealed using sequence similarity with TCRDivER algorithm.Communications biology · 2023Article
- Antigen-specificity measurements are the key to understanding T cell responses.Frontiers in immunology · 2023Review
- NAIR: Network Analysis of Immune Repertoire.Frontiers in immunology · 2023Article
- Cross-reactivity of SARS-CoV-2- and influenza A-specific T cells in individuals exposed to SARS-CoV-2.JCI insight · 2022Article
- Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy.Science advances · 2022Article
- Utility of Bulk T-Cell Receptor Repertoire Sequencing Analysis in Understanding Immune Responses to COVID-19.Diagnostics (Basel, Switzerland) · 2022Review
- TCR-L: an analysis tool for evaluating the association between the T-cell receptor repertoire and clinical phenotypes.BMC bioinformatics · 2022Article
- Modulation of the Human Pancreatic Ductal Adenocarcinoma Immune Microenvironment by Stereotactic Body Radiotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Article
- Position-Scanning Peptide Libraries as Particle Immunogens for Improving CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Despite a dramatic increase in T-cell receptor (TCR) sequencing, few approaches biologically parse the data in a fashion that both helps yield new information about immune responses and may guide immunotherapeutic interventions. To address this issue, we developed a method, ImmunoMap, that utilizes a sequence analysis approach inspired by phylogenetics to examine TCR repertoire relatedness. ImmunoMap analysis of the CD8 T-cell response to self-antigen (K
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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.