ArticleMolecular oncology2021
Single-cell transcriptomics reveal the intratumoral landscape of infiltrated T-cell subpopulations in oral squamous cell carcinoma.
Article in Molecular oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- Tissue-resident memory T-cell expressions and their prognostic role in head and neck squamous cell carcinoma: a systematic review and meta-analysis.BMC cancer · 2025Pooled it
- Targeting the pentose phosphate pathway mitigates graft-versus-host disease by rewiring alloreactive T cell metabolism.JCI insight · 2025Article
- Review
- Multi-omics exploration of CAV1Discover oncology · 2025Article
- Salivary biomarkers: a promising approach for predicting immunotherapy response in head and neck cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Review
- TcEVdb: a database for T-cell-derived small extracellular vesicles from single-cell transcriptomes.Database : the journal of biological databases and curation · 2025Article
- Combination adjuvant improves influenza virus immunity by downregulation of immune homeostasis genes in lymphocytes.ImmunoHorizons · 2025Article
- Mapping immunotherapy potential: spatial transcriptomics in the unraveling of tumor-immune microenvironments in head and neck squamous cell carcinoma.Frontiers in immunology · 2025Review
- Recent advances in biomarker detection of oral squamous cell carcinoma.Frontiers in oncology · 2025Review
- Review
- Transoral Robotic Surgery and Human Papillomavirus Infection: Impact on Oropharyngeal Cancer Prognosis.Journal of clinical medicine · 2024Article
- Article
- Unravelling immune microenvironment features underlying tumor progression in the single-cell era.Cancer cell international · 2024Review
- Tumor-infiltrating immune cells and survival in head and neck squamous cell carcinoma: a retrospective computational study.Scientific reports · 2024Article
- An AI-assisted integrated, scalable, single-cell phenomic-transcriptomic platform to elucidate intratumor heterogeneity against immune response.Bioengineering & translational medicine · 2024Article
- Revelation of comprehensive cell profiling of primary and metastatic tumour ecosystems in oral squamous cell carcinoma by single-cell transcriptomic analysis.International journal of medical sciences · 2024Article
- Tumor microenvironment in oral squamous cell carcinoma.Frontiers in immunology · 2024Review
- Application of single-cell RNA sequencing in head and neck squamous cell carcinoma.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2023Article
- Prognostic model based on telomere-related genes predicts the risk of oral squamous cell carcinoma.BMC oral health · 2023Article
- T cell effects and mechanisms in immunotherapy of head and neck tumors.Cell communication and signaling : CCS · 2023Review
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systematic analysis of tumor-infiltrating lymphocytes is essential for the development of new cancer treatments and the prediction of clinical responses to immunotherapy. Immunomodulatory drugs are used for the treatment of oral squamous cell carcinoma (OSCC), depending on immune infiltration profiles of the tumor microenvironment. In this study, we isolated 11,866 single T cells from tumors and paired adjacent normal tissues of three patients with OSCC. Using single-cell RNA sequencing, we identified 14 distinct T-cell subpopulations within the tumors and 5 T-cell subpopulations in the adjacent normal tissues and delineated their developmental trajectories. Exhausted CD8
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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.