ArticleFrontiers in oncology2020
RNA-Seq-Based TCR Profiling Reveals Persistently Increased Intratumoral Clonality in Responders to Anti-PD-1 Therapy.
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed.
- Harnessing TCR repertoires: predictive insights and therapeutic monitoring in cancer immunotherapy.Immuno-oncology technology · 2025Review
- Neoadjuvant immunotherapy in squamous cell carcinoma of the head and neck: current evidence and future perspectives.Molecular cancer · 2025Review
- Immune repertoire profiling and T cell dysregulation in Peripheral Blood Mononuclear Cells of Type 2 diabetic patients.PloS one · 2025Article
- Immune checkpoint therapy responders display early clonal expansion of tumor infiltrating lymphocytes.Oncoimmunology · 2024Article
- Fluorescence Lifetime Imaging of NAD(P)H T Cells Autofluorescence in the Lymphatic Nodes to Assess the Effectiveness of Anti-CTLA-4 Immunotherapy.Sovremennye tekhnologii v meditsine · 2023Article
- T-cell repertoire diversity: friend or foe for protective antitumor response?Journal of experimental & clinical cancer research : CR · 2022Review
- FLIM of NAD(P)H in Lymphatic Nodes Resolves T-Cell Immune Response to the Tumor.International journal of molecular sciences · 2022Article
- Article
- Deciphering Repertoire of B16 Melanoma Reactive TCRs by Immunization, In Vitro Restimulation and Sequencing of IFNγ-Secreting T Cells.International journal of molecular sciences · 2021Article
- Using RNA-Seq to Investigate Immune-Metabolism Features in Immunocompromised Patients With Sepsis.Frontiers in medicine · 2021Article
- Tumor Infiltrating Effector Memory Antigen-Specific CD8Frontiers in immunology · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Substantial effort is being invested in the search for peripheral or intratumoral T cell receptor (TCR) repertoire features that could predict the response to immunotherapy. Here we demonstrate the utility of MiXCR software for TCR and immunoglobulin repertoire extraction from RNA-Seq data obtained from sorted tumor-infiltrating T and B cells. We use this approach to extract TCR repertoires from RNA-Seq data obtained from sorted tumor-infiltrating CD4
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