Evidence map›Paper›PMID 34204662›Full record

ArticleCancers2021

Characterization of Circulating T Cell Receptor Repertoire Provides Information about Clinical Outcome after PD-1 Blockade in Advanced Non-Small Cell Lung Cancer Patients.

Ning Dong, Andrea Moreno-Manuel, Silvia Calabuig-Fariñas, Sandra Gallach, Feiyu Zhang, Ana Blasco, Francisco Aparisi, Marina Meri-Abad, Ricardo Guijarro, Rafael Sirera and 2 more

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  15. Article
  16. T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. 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

12 authors.

Ning DongMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, 46014 Valencia, Spain.ORCID 0000-0003-0188-5165
Andrea Moreno-ManuelMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, 46014 Valencia, Spain.ORCID 0000-0003-2996-2505
Silvia Calabuig-FariñasMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, 46014 Valencia, Spain.ORCID 0000-0001-7749-174X
Sandra GallachMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, 46014 Valencia, Spain.ORCID 0000-0002-6721-1211
Feiyu ZhangMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, 46014 Valencia, Spain.ORCID 0000-0003-4631-9378
Ana BlascoUnidad Mixta TRIAL, Centro Investigación Príncipe Felipe-Fundación Investigación, Hospital General Universitario de Valencia, 46014 Valencia, Spain.ORCID 0000-0001-5889-0382
Francisco AparisiDepartment of Medical Oncology, Hospital General de Requena, 46340 Valencia, Spain.
Marina Meri-AbadDepartment of Medical Oncology, Hospital General Universitario de Valencia, 46014 Valencia, Spain.
Ricardo GuijarroUnidad Mixta TRIAL, Centro Investigación Príncipe Felipe-Fundación Investigación, Hospital General Universitario de Valencia, 46014 Valencia, Spain.
Rafael SireraUnidad Mixta TRIAL, Centro Investigación Príncipe Felipe-Fundación Investigación, Hospital General Universitario de Valencia, 46014 Valencia, Spain.ORCID 0000-0001-9162-8490
Carlos CampsMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, 46014 Valencia, Spain.
Eloísa Jantus-LewintreMolecular Oncology Laboratory, Fundación Investigación, Hospital General Universitario de Valencia, 46014 Valencia, Spain.ORCID 0000-0001-7395-4380

Funding

Centro de Investigación Biomédica en Red de Cáncer CB16-12-00350Instituto de Salud Carlos III PI18/00226
6 · The paper itself

Abstract

Despite the success of immunotherapies in lung cancer, development of new biomarkers for patient selection is urgently needed. This study aims to explore minimally invasive approaches to characterize circulating T cell receptor beta chain (TCR-β) repertoire in a cohort of advanced non-small cell lung cancer (NSCLC) patients treated with first-line pembrolizumab. Peripheral blood samples were obtained at two time points: i) pretreatment (PRE) and ii) first response assessment (FR). Next-generation sequencing (NGS) was used to analyze the hypervariable complementary determining region 3 (CDR3) of TCR-β chain. Richness, evenness, convergence, and Jaccard similarity indexes plus variable (V) and joining (J)-gene usage were studied. Our results revealed that increased richness during treatment was associated with durable clinical benefit (DCB;

Indexed as

biomarkerCDR3high-throughput sequencingimmune checkpoint blockadeimmunotherapyliquid biopsynext-generation sequencingnon-small cell lung cancerT cell receptor beta chain repertoireTCR

Identifiers

PMID34204662
PMCPMC8231221

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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.