ArticleCancer immunology research2019
Computational Immune Monitoring Reveals Abnormal Double-Negative T Cells Present across Human Tumor Types.
Article in Cancer immunology research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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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
31 citing papers in PubMed.
- Discovery of natural products that modulate signaling in patient-derived cells.RSC chemical biology · 2026Article
- Adenosine signaling promotes double-negative T-cell anticancer responses in conditions of CD8 T-cell lymphopenia.Blood immunology & cellular therapy · 2026Article
- Role of immune cells in clear cell ovarian cancer: a two-sample bidirectional Mendelian randomization study.Journal of ovarian research · 2026Article
- Proliferative double-negative T (DNT)-cell responses to PD-1 blockade therapy were positively correlated with good clinical outcomes in non-small cell lung cancer patients.Pakistan journal of medical sciences · 2026Article
- Review
- Optimal transport reveals immune perturbation and fingerprints over time in COVID-19 vaccination.Experimental biology and medicine (Maywood, N.J.) · 2025Article
- Causal relationship between circulating immune cells and gastric cancer: a bidirectional Mendelian randomization analysis using UK Biobank and FinnGen datasets.Translational cancer research · 2024Article
- Article
- IL-8 Instructs Macrophage Identity in Lateral Ventricle Contacting Glioblastoma.bioRxiv : the preprint server for biology · 2024Article
- The SWI/SNF chromatin-remodeling subunit DPF2 facilitates NRF2-dependent antiinflammatory and antioxidant gene expression.The Journal of clinical investigation · 2023Article
- An immunosuppressed microenvironment distinguishes lateral ventricle-contacting glioblastomas.JCI insight · 2023Article
- Immuno-Contexture and Immune Checkpoint Molecule Expression in Mismatch Repair Proficient Colorectal Carcinoma.Cancers · 2023Article
- Obesity modulates the cellular and molecular microenvironment in the peritoneal cavity: implication for ovarian cancer risk.Frontiers in immunology · 2023Article
- Article
- TCRαβ+ CD4-/CD8- "double negative" T cells in health and disease-implications for the kidney.Kidney international · 2022Review
- CytofIn enables integrated analysis of public mass cytometry datasets using generalized anchors.Nature communications · 2022Article
- Thyroid Cancer Screening Using Tumor-Associated DN T Cells as Immunogenomic Markers.Frontiers in oncology · 2022Article
- CD3Frontiers in immunology · 2022Review
- Cellular and humoral immune responses following SARS-CoV-2 mRNA vaccination in patients with multiple sclerosis on anti-CD20 therapy.Nature medicine · 2021Article
- Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Advances in single-cell biology have enabled measurements of >40 protein features on millions of immune cells within clinical samples. However, the data analysis steps following cell population identification are susceptible to bias, time-consuming, and challenging to compare across studies. Here, an ensemble of unsupervised tools was developed to evaluate four essential types of immune cell information, incorporate changes over time, and address diverse immune monitoring challenges. The four complementary properties characterized were (i) systemic plasticity, (ii) change in population abundance, (iii) change in signature population features, and (iv) novelty of cellular phenotype. Three systems immune monitoring studies were selected to challenge this ensemble approach. In serial biopsies of melanoma tumors undergoing targeted therapy, the ensemble approach revealed enrichment of double-negative (DN) T cells. Melanoma tumor-resident DN T cells were abnormal and phenotypically distinct from those found in nonmalignant lymphoid tissues, but similar to those found in glioblastoma and renal cell carcinoma. Overall, ensemble systems immune monitoring provided a robust, quantitative view of changes in both the system and cell subsets, allowed for transparent review by human experts, and revealed abnormal immune cells present across multiple human tumor types.
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Registered trials
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