Evidence map›Paper›PMID 34984538›Full record

ArticleCancer immunology, immunotherapy : CII2022

The integration of systemic and tumor PD-L1 as a predictive biomarker of clinical outcomes in patients with advanced NSCLC treated with PD-(L)1blockade agents.

Carlos Zamora Atenza, Geòrgia Anguera, Mariona Riudavets Melià, Letícia Alserawan De Lamo, Ivana Sullivan, Andrés Barba Joaquin, Jorgina Serra Lopez, M Angels Ortiz, Maria Mulet, Sílvia Vidal and 1 more

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
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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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

11 authors.

Carlos Zamora AtenzaGroup of Immunology-Inflammatory Diseases, Biomedical Research Institut Sant Pau (IIB Sant Pau), Barcelona, Spain.
Geòrgia AngueraDepartment of Medical Oncology, Hospital de La Santa Creu I San Pau. C, Sant Antoni Maria Claret 167 08025, Barcelona, Spain.
Mariona Riudavets MeliàDepartment of Medical Oncology, Hospital de La Santa Creu I San Pau. C, Sant Antoni Maria Claret 167 08025, Barcelona, Spain.
Letícia Alserawan De LamoDepartment of Immunology, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain.
Ivana SullivanDepartment of Medical Oncology, Hospital de La Santa Creu I San Pau. C, Sant Antoni Maria Claret 167 08025, Barcelona, Spain.
Andrés Barba JoaquinDepartment of Medical Oncology, Hospital de La Santa Creu I San Pau. C, Sant Antoni Maria Claret 167 08025, Barcelona, Spain.
Jorgina Serra LopezDepartment of Medical Oncology, Hospital de La Santa Creu I San Pau. C, Sant Antoni Maria Claret 167 08025, Barcelona, Spain.
M Angels OrtizGroup of Immunology-Inflammatory Diseases, Biomedical Research Institut Sant Pau (IIB Sant Pau), Barcelona, Spain.
Maria MuletGroup of Immunology-Inflammatory Diseases, Biomedical Research Institut Sant Pau (IIB Sant Pau), Barcelona, Spain.
Sílvia VidalGroup of Immunology-Inflammatory Diseases, Biomedical Research Institut Sant Pau (IIB Sant Pau), Barcelona, Spain.
Margarita MajemDepartment of Medical Oncology, Hospital de La Santa Creu I San Pau. C, Sant Antoni Maria Claret 167 08025, Barcelona, Spain. mmajem@santpau.cat.ORCID http://orcid.org/0000-0002-9919-7485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor PD-L1 expression is a predictive biomarker for patients with NSCLC receiving PD-(L)1 blockade agents. However, although increased tumor PD-L1 expression predicts responsiveness, clinical benefit has been observed regardless of tumor PD-L1 expression, suggesting the existence of other PD-L1 sources. The aim of our study was to analyze whether integrating systemic and tumor PD-L1 is more predictive of efficacy in patients with advanced NSCLC receiving PD-(L)1 blockade agents. MATERIAL AND

methodsTwenty-nine healthy donors and 119 consecutive patients with advanced NSCLC treated with PD-(L)1 drug were prospectively included. Pretreatment blood samples were collected to evaluate PD-L1 levels on circulating immune cells, platelets (PLTs), platelet microparticles (PMPs), and the plasma soluble PD-L1 concentration (sPD-L1). Tumor PD-L1 status was assessed by immunohistochemistry. The percentages of circulating PD-L1 + leukocytes, sPD-L1 levels, and tumor PD-L1 were correlated with efficacy.

resultsNo differences in the percentages of circulating PD-L1 + leukocytes were observed according to tumor PD-L1 expression. Significantly longer progression-free survival was observed in patients with higher percentages of PD-L1 + CD14 + , PD-L1 + neutrophils, PD-L1 + PLTs, and PD-L1 + PMPs and significantly longer overall survival was observed in patients with higher percentages of PD-L1 + CD14 + and high tumor PD-L1 expression. Integrating the PD-L1 data of circulating and tumor PD-L1 results significantly stratified patients according to the efficacy of PD-(L1) blockade agents.

conclusionsOur results suggest that integrating circulating PD-L1 + leukocytes, PLT, PMPs, and sPD-L1 and tumor PD-L1 expression may be helpful to decide on the best treatment strategy in patients with advanced NSCLC who are candidates for PD-(L)1 blockade agents.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenBiomarkers, TumorHumansImmunotherapyB7-H1 AntigenBiomarkers, TumorImmunotherapyNSCLCPredictive biomarkerSoluble PD-L1Systemic PD-L1

Identifiers

PMID34984538
PMCPMC10992196

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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.