Evidence map›Paper›PMID 28074285›Full record

ReviewSeminars in immunopathology2017

T cell receptor repertoire usage in cancer as a surrogate marker for immune responses.

David Schrama, Cathrin Ritter, Jürgen C Becker

Abstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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  14. T-Cell Repertoire Analysis in the Conjunctiva of Murine Dry Eye Model.Investigative ophthalmology & visual science · 2023
    Article
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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

3 authors.

David SchramaDepartment of Dermatology, University Hospital Würzburg, Würzburg, Germany.
Cathrin RitterDepartment of Translational Skin Cancer Research, University Hospital Essen, Essen, Germany.
Jürgen C BeckerDepartment of Translational Skin Cancer Research, University Hospital Essen, Essen, Germany. j.becker@dkfz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the interaction of cancer cells with the host adaptive immune system is critical for understanding tumor immunology and the modus operandi of immunotherapeutic interventions to treat cancer. As the key cellular effectors of adaptive immunity, T cells are endowed with specialized receptors (the T cell receptor; TCR), to recognize and to eliminate cancer cells. The diversity of the TCR repertoire results from specialized genetic diversification mechanisms that generate an incredible variability allowing recognizing extensive collections of antigens. Based on the attainment and function of the TCR, the TCR repertoire is a mirror of the human immune response, and the dynamic changes of its usage can be assumed as a promising biomarker to monitor immunomodulatory therapies. Recent advances in multiplexed PCR amplification and massive parallel sequencing technologies have facilitated the characterization of TCR repertoires at high resolution even when only biomaterial of limited quantity and quality, such as formalin-fixed paraffin-embedded (FFPE) archived tissues, is available. Here, we review the concept framework and current experimental approaches to characterize the TCR repertoire usage in cancer including inherent technical and biological challenges.

Indexed as

Adaptive ImmunityAnimalsAntigens, NeoplasmBiomarkersBiomarkers, TumorClonal EvolutionGene Rearrangement, T-LymphocyteHigh-Throughput Nucleotide SequencingHumansImmunologic SurveillanceImmunotherapyMolecular Targeted TherapyNeoplasmsReceptors, Antigen, T-CellT-LymphocytesTreatment OutcomeAntigens, NeoplasmBiomarkersBiomarkers, TumorReceptors, Antigen, T-Cell

Identifiers

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.