Evidence map›Paper›PMID 35740564›Full record

ArticleCancers2022

Peripheral Blood Mononuclear Cells Predict Therapeutic Efficacy of Immunotherapy in NSCLC.

Jacobo Rogado, Fernando Pozo, Kevin Troule, José Miguel Sánchez-Torres, Nuria Romero-Laorden, Rebeca Mondejar, Olga Donnay, Anabel Ballesteros, Vilma Pacheco-Barcia, Javier Aspa and 3 more

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

13 authors.

Jacobo RogadoMedical Oncology Department, Hospital Universitario Infanta Leonor, Gran Via del Este 80, 28031 Madrid, Spain.ORCID 0000-0002-9795-8762
Fernando PozoBioinformatics Unit, Spanish National Cancer Research Centre, 28029 Madrid, Spain.ORCID 0000-0001-7688-6045
Kevin TrouleBioinformatics Unit, Spanish National Cancer Research Centre, 28029 Madrid, Spain.
José Miguel Sánchez-TorresInstituto de Investigación Sanitaria del Hospital Universitario la Princesa, 28006 Madrid, Spain.
Nuria Romero-LaordenInstituto de Investigación Sanitaria del Hospital Universitario la Princesa, 28006 Madrid, Spain.ORCID 0000-0001-8715-8860
Rebeca MondejarInstituto de Investigación Sanitaria del Hospital Universitario la Princesa, 28006 Madrid, Spain.
Olga DonnayInstituto de Investigación Sanitaria del Hospital Universitario la Princesa, 28006 Madrid, Spain.
Anabel BallesterosInstituto de Investigación Sanitaria del Hospital Universitario la Princesa, 28006 Madrid, Spain.
Vilma Pacheco-BarciaInstituto de Investigación Sanitaria del Hospital Universitario la Princesa, 28006 Madrid, Spain.
Javier AspaInstituto de Investigación Sanitaria del Hospital Universitario la Princesa, 28006 Madrid, Spain.ORCID 0000-0002-1283-995X
Fátima Al-ShahrourBioinformatics Unit, Spanish National Cancer Research Centre, 28029 Madrid, Spain.ORCID 0000-0003-2373-769X
Arantzazu AlfrancaInstituto de Investigación Sanitaria del Hospital Universitario la Princesa, 28006 Madrid, Spain.ORCID 0000-0002-3732-5816
Ramon ColomerInstituto de Investigación Sanitaria del Hospital Universitario la Princesa, 28006 Madrid, Spain.

Funding

Fundación Científica de la Asociación Española Contra el Cáncer Project Molecular analysis of the Exhaled Breath Condensate in the management of solitary pulmonary nodule (Ideas semilla AECC 2019)Instituto de Salud Carlos III CIBER Cardiovascular (Fondo de Investigación Sanitaria del Instituto de Salud Carlos III with co-funding from the Fondo Europeo de Desarrollo Regional FEDER)Instituto de Salud Carlos III JR17/00007Instituto de Salud Carlos III PI17/00801Instituto de Salud Carlos III PI17/01865Instituto de Salud Carlos III PI19/01491Instituto de Salud Carlos III PI20/01458Instituto de Salud Carlos III PI21/01111Instituto de Salud Carlos III PIE15/00068Instituto de Salud Carlos III Project RETOS RTI2018-097596-B-I00 (AEI/10.13039/501100011033 MCI / FEDER, UE)
6 · The paper itself

Abstract

In lung cancer immunotherapy, biomarkers to guide clinical decisions are limited. We now explore whether the detailed immunophenotyping of circulating peripheral blood mononuclear cells (PBMCs) can predict the efficacy of anti-PD-1 immunotherapy in patients with advanced non-small-cell lung cancer (NSCLC). We determined 107 PBMCs subpopulations in a prospective cohort of NSCLC patients before starting single-agent anti-PD-1 immunotherapy (study group), analyzed by flow cytometry. As a control group, we studied patients with advanced malignancies before initiating non-immunotherapy treatment. The frequency of PBMCs was correlated with treatment outcome. Patients were categorized as having either high or low expression for each biomarker, defined as those above the 55th or below the 45th percentile of the overall marker expression within the cohort. In the study group, three subpopulations were associated with significant differences in outcome: high pretreatment levels of circulating CD4+CCR9+, CD4+CCR10+, or CD8+CXCR4+ T cells correlated with poorer overall survival (15.7 vs. 35.9 months, HR 0.16,

Indexed as

anti-PD-1 antibodiesbiomarkersimmunotherapynon-small cell lung cancerperipheral blood mononuclear cells

Identifiers

PMID35740564
PMCPMC9221141

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.