Evidence map›Paper›PMID 39736542›Full record

ArticleBMC cancer2024

Early changes of peripheral circulating immune subsets induced by PD-1 inhibitors in patients with advanced malignant melanoma and non-small cell lung cancer.

Simona Borilova, Peter Grell, Iveta Selingerova, Lenka Gescheidtova, Marie Mlnarikova, Ondrej Bilek, Radek Lakomy, Alexandr Poprach, Jan Podhorec, Igor Kiss and 4 more

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

14 authors.

Simona BorilovaDepartment of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Peter GrellDepartment of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic. peter.grell@mou.cz.
Iveta SelingerovaDepartment of Laboratory Medicine, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Lenka GescheidtovaDepartment of Laboratory Medicine, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Marie MlnarikovaDepartment of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Ondrej BilekDepartment of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Radek LakomyDepartment of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Alexandr PoprachDepartment of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Jan PodhorecDepartment of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Igor KissDepartment of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Rostislav VyzulaDepartment of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Barbora VavrusakovaResearch Center for Applied Molecular Oncology (RECAMO), Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Jiri NevrlkaDepartment of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Lenka Zdrazilova-DubskaDepartment of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.

Funding

Development of Research Organization MMCI 00209805European Union-Next Generation EU and by Specific University Research MUNI/A/1580/2023Ministry of Health of the Czech Republic NU21-03-00539National Institute for Cancer Research (Programme EXCELES) LX22NPO5102
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs), including those targeting PD-1, are currently used in a wide range of tumors, but only 20-40% of patients achieve clinical benefit. The objective of our study was to find predictive peripheral blood-based biomarkers for ICI treatment.

methodsIn 41 patients with advanced malignant melanoma (MM) and NSCLC treated with PD-1 inhibitors, we analyzed peripheral blood-based immune subsets by flow cytometry before treatment initialization and the second therapy dose. Specifically, we assessed basic blood differential count, overall T cells and their subgroups, B cells, and myeloid-derived suppressor cells (MDSC). In detail, CD4 + and CD8 + T cells were assessed according to their subtypes, such as central memory T cells (TCM), effector memory T cells (TEM), and naïve T cells (TN). Furthermore, we also evaluated the predictive value of CD28 and ICOS/CD278 co-expression on T cells.

resultsPatients who achieved disease control on ICIs had a significantly lower baseline proportion of CD4 + TEM (p = 0.013) and tended to have a higher baseline proportion of CD4 + TCM (p = 0.059). ICI therapy-induced increase in Treg count (p = 0.012) and the proportion of CD4 + TN (p = 0.008) and CD28 + ICOS- T cells (p = 0.012) was associated with disease control. Patients with a high baseline proportion of CD4 + TCM and a low baseline proportion of CD4 + TEM showed significantly longer PFS (p = 0.011, HR 2.6 and p ˂ 0.001, HR 0.23, respectively) and longer OS (p = 0.002, HR 3.75 and p ˂ 0.001, HR 0.15, respectively). Before the second dose, the high proportion of CD28 + ICOS- T cells after ICI therapy initiation was significantly associated with prolonged PFS (p = 0.017, HR 2.51) and OS (p = 0.030, HR 2.69). Also, a high Treg count after 2 weeks of ICI treatment was associated with significantly prolonged PFS (p = 0.016, HR 2.33).

conclusionIn summary, our findings suggest that CD4 + TEM and TCM baselines and an early increase in the Treg count induced by PD-1 inhibitors and the proportion of CD28 + ICOS- T cells may be useful in predicting the response in NSCLC and MM patients.

Indexed as

Carcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsLung NeoplasmsMelanomaAdultAgedAged, 80 and overCD28 AntigensCD8-Positive T-LymphocytesFemaleHumansInducible T-Cell Co-Stimulator ProteinMaleMiddle AgedProgrammed Cell Death 1 ReceptorCD28 AntigensICOS protein, humanImmune Checkpoint InhibitorsInducible T-Cell Co-Stimulator ProteinProgrammed Cell Death 1 ReceptorAntitumor immunityImmune checkpoint inhibitorsPeripheral blood circulating immune subsetsPredictive biomarker

Identifiers

PMID39736542
PMCPMC11687021

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LicenceCC BY-NC-ND
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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.