Evidence map›Paper›PMID 31652661›Full record

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.

Luigi Cari, Francesca De Rosa, Maria Grazia Petrillo, Graziella Migliorati, Giuseppe Nocentini, Carlo Riccardi

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Overexpression of Potential Markers of Regulatory and Exhausted CD8International journal of molecular sciences · 2023
    Article
  5. [Allergen immunotherapy: FAQs and facts].Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 2021
    Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Luigi CariSection of Pharmacology, Department of Medicine, University of Perugia, 06129 Perugia, Italy. luigi.cari@hotmail.it.
Francesca De RosaSection of Pharmacology, Department of Medicine, University of Perugia, 06129 Perugia, Italy. francescaderosa94@libero.it.
Maria Grazia PetrilloSignal Transduction Laboratory, NIEHS, NIH, Department of Health and Human Services, Durham, NC 27709, USA. maria.petrillo@nih.gov.
Graziella MiglioratiSection of Pharmacology, Department of Medicine, University of Perugia, 06129 Perugia, Italy. graziella.migliorati@unipg.it.
Giuseppe NocentiniSection of Pharmacology, Department of Medicine, University of Perugia, 06129 Perugia, Italy. giuseppe.nocentini@unipg.it.
Carlo RiccardiSection of Pharmacology, Department of Medicine, University of Perugia, 06129 Perugia, Italy. carlo.riccardi@unipg.it.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca 2015ZT9MXY_001Ministero dell'Istruzione, dell'Università e della Ricerca 2017MLC3NF_005
6 · The paper itself

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.

Indexed as

Cell MovementBiomarkers, TumorBrain NeoplasmsDrug Resistance, NeoplasmHumansNeuroblastomaNivolumabT-LymphocytesBiomarkers, TumorNivolumabbioinformaticsmicroarrayprecision medicineT cell infiltration of human cancertissue-resident memory T cells

Identifiers

PMID31652661
PMCPMC6829269

What OpenQuestion holds

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Registered trials

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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.