ArticleInternational journal of molecular sciences2019
Identification of 15 T Cell Restricted Genes Evaluates T Cell Infiltration of Human Healthy Tissues and Cancers and Shows Prognostic and Predictive Potential.
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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
6 citing papers in PubMed.
- Tumor-Intrinsic ARHGEF3 Enhances Antitumor Immunity by Promoting T-Cell Infiltration and Limiting Myeloid Cell-Mediated Immunosuppression.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Liver cancer multiomics reveals diverse protein kinase A disruptions convergently produce fibrolamellar hepatocellular carcinoma.Nature communications · 2024Article
- VIBE: an R-package for VIsualization of Bulk RNA Expression data for therapeutic targeting and disease stratification.Frontiers in oncology · 2024Article
- Overexpression of Potential Markers of Regulatory and Exhausted CD8International journal of molecular sciences · 2023Article
- [Allergen immunotherapy: FAQs and facts].Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 2021Review
- Detection of urinary miRNAs for diagnosis of clear cell renal cell carcinoma.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
T cell gene signatures are used to evaluate T cell infiltration of non-lymphoid tissues and cancers in both experimental and clinical settings. However, some genes included in the available T cell signatures are not T cell-restricted. Herein, we propose a new human T cell signature that has been developed via a six-step procedure and comprises 15 T cell restricted genes. We demonstrate the new T cell signature, named signature-H, that differs from other gene signatures since it shows higher sensitivity and better predictivity in the evaluation of T cell infiltration in healthy tissues as well as 32 cancers. Further, results from signature-H are highly concordant with the immunohistochemistry methods currently used for assessing the prognosis of neuroblastoma, as demonstrated by the Kaplan-Meier curves of patients ranked by tumor T cell infiltration. Moreover, T cell infiltration levels calculated using signature-H correlate with the risk groups determined by the staging of the neuroblastoma. Finally, multiparametric analysis of tumor-infiltrating T cells based on signature-H let us favorably predict the response of melanoma to the anti-PD-1 antibody nivolumab. These findings suggest that signature-H evaluates T cell infiltration levels of tissues and may be used as a prognostic tool in the precision medicine perspective after appropriate clinical validation.
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Registered trials
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