Evidence map›Paper›PMID 42367772›Full record

ArticleFrontiers in immunology2026

Peripheral immune cell subsets as potential predictors of benefit from immune checkpoint blockade therapy in small cell lung cancer.

Miguel A Galindo-Campos, Max Hardy-Werbin, Joan Gibert, Margherita Pucci, Anna Hernández-Prat, Alejandro Ríos-Hoyo, Pedro Rocha, Adriá Rossell, Raúl Del Rey-Vergara, Ana Parreira and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Miguel A Galindo-CamposCancer Research Program, Hospital del Mar Research Institute, Barcelona, Spain.
Max Hardy-WerbinMedical Oncology Department, Hospital del Mar, Barcelona, Spain.
Joan GibertPathology Department, Hospital del Mar, Barcelona, Spain.
Margherita PucciCancer Research Program, Hospital del Mar Research Institute, Barcelona, Spain.
Anna Hernández-PratCancer Research Program, Hospital del Mar Research Institute, Barcelona, Spain.
Alejandro Ríos-HoyoMedical Oncology Department, Hospital del Mar, Barcelona, Spain.
Pedro RochaCancer Research Program, Hospital del Mar Research Institute, Barcelona, Spain.
Adriá RossellCancer Research Program, Hospital del Mar Research Institute, Barcelona, Spain.
Raúl Del Rey-VergaraCancer Research Program, Hospital del Mar Research Institute, Barcelona, Spain.
Ana ParreiraMedical Oncology Department, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom.
Andrés PellicerMedical Oncology Department, Hospital del Mar, Barcelona, Spain.
Álvaro TausMedical Oncology Department, Hospital del Mar, Barcelona, Spain.
Ana Rovira *Cancer Research Program, Hospital del Mar Research Institute, Barcelona, Spain.
Edurne Arriola *Cancer Research Program, Hospital del Mar Research Institute, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Small cell lung cancer (SCLC) is a lethal neoplasia. Chemotherapy (Ct) plus immune checkpoint blockade therapy (ICBt) is now the standard of care although limited survival benefit. Lack of biomarkers of response leads to suboptimal patient selection, distorting results of clinical trials. Deciphering the ICBt-driven peripheral immune events may recognize those patients who benefit the most. Here, we characterize early peripheral immune kinetics in SCLC patients treated with Ct + ICBt with improved survival. Methods: SCLC patients from 8 centers were prospectively recruited into 3 cohorts. Cohort 1 (N = 24) include patients treated with Ct. Cohort 2 (N = 37) comprise patients treated with Ct + anti-CTLA-4, and cohort 3 (N = 20) patients treated with Ct + anti-PD-1/PD-L1. Peripheral blood mononuclear cells (PBMCs) were obtained prior to treatment initiation and 3-4 weeks after (before cycle 2). Variation in proliferation, senescence, adhesion, immunosuppression, and checkpoints markers was assessed by Fluorescence-Activated Cell Sorting (FACS). Kaplan-Meier and log-rank test were used for survival analysis. MaxStat was used to calculate cut points. A p-value <0.05 was considered statistically significant. Results: We found 6 independent cellular subsets whose modulation shortly after the start of ICBt identify patients with improved survival. An increase in CD8+CD103+Ki67+ cells identify survival benefit in cohorts 1 and 3 (p=0.043; 0.0033). In ICBt cohorts 2 and 3, an upregulation of Ki67 in total CD4+ (p=0.012; 0.0027) and CD4+PD-1+ T cells (p=0.026; 0.027), predicted longer survival, while a downregulation of CD4+ICOS+ T cells (p=0.025; 0.011) identified survival benefit in these same ICBt cohorts. Expansion of Ki67+ and ICOS+ (p=0.0024; 0.0074) CD8+ T cells was also observed in CD8+ T cells from long survivors exclusively from cohort 2. Conclusions: This study provides one of the few longitudinal assessments of peripheral immune dynamics in SCLC patients receiving ICBt, suggesting that early on-treatment changes, evaluated relative to each patient's own baseline levels, may provide greater predictive value than single-timepoint inter-patient comparisons.

Indexed as

Immune Checkpoint InhibitorsLung NeoplasmsSmall Cell Lung CarcinomaAgedFemaleHumansMaleMiddle AgedTreatment OutcomeImmune Checkpoint Inhibitorsbiomarkersimmune checkpoint blockade therapy (ICBt)immunotherapyperipheral blood mononuclear cells (PBMCs)prognostic predictive factorssmall cell lung cancer (SCLC)

Identifiers

PMID42367772
PMCPMC13303708

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.