Evidence map›Paper›PMID 42068384›Full record

ArticleCancer immunology, immunotherapy : CII2026

Evaluation of the predictive and prognostic potential of blood immune cell profiles in metastatic cancer patients treated with immune checkpoint inhibitors.

Veera Nurmela, Anna-Mari Schroderus, Satu Tiainen, Outi Kuittinen, Olli Tenhunen, Anna Jokimäki, Sanna Suoranta, Sanna Pasonen-Seppänen, Tero Sievänen, Tuure Kinnunen and 1 more

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 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

11 authors.

Veera Nurmela *Institute of Clinical Medicine, School of Medicine, University of Eastern Finland, Kuopio, Finland. vnurmela@student.uef.fi.
Anna-Mari Schroderus *Institute of Clinical Medicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.
Satu TiainenFICAN East, The Wellbeing Services County of North Savo, Kuopio, Finland.
Outi KuittinenInstitute of Clinical Medicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.
Olli TenhunenMedical Research Center Oulu and Oulu University Hospital Cancer Center, Oulu, Finland.
Anna JokimäkiMedical Research Center Oulu and Oulu University Hospital Cancer Center, Oulu, Finland.
Sanna SuorantaInstitute of Clinical Medicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.
Sanna Pasonen-SeppänenInstitute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.
Tero SievänenUEF Bioinformatics Center, Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
Tuure Kinnunen *Institute of Clinical Medicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.
Aino Rönkä *Institute of Clinical Medicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.

Funding

Cancer Society of North Savo 20240026State Research Funding for university-level health Research, Kuopio University Hospital, Wellbeing Service County of North Savo 5654210The Finnish Medical Foundation sr 7074the Paavo Koistinen Foundation 202300011
6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICI) have transformed the treatment of metastatic malignancies, yet only 20-40% of unselected patients benefit. Peripheral blood could offer a minimally invasive and dynamic source for predictive biomarkers of ICI therapy.This study evaluated circulating immune cell frequencies and phenotypes before and during ICI therapy to identify tumor-agnostic blood-based biomarkers. We analyzed routine blood immune cell counts in a retrospective cohort of 202 patients treated with ICIs. Next, we investigated the findings in a prospectively collected cohort of 45 patients using multiparametric flow cytometry for characterization of immune cell subsets. We considered early radiological response, progression-free survival (PFS), and overall survival (OS) as clinical outcomes.Higher pre-treatment monocyte and lower lymphocyte counts were consistently associated with inferior PFS and OS but not with early radiological response in the retrospective cohort. In the prospective cohort, detailed immunophenotyping identified elevated pre-treatment frequencies of intermediate (CD14⁺CD16⁺) monocytes as a marker of poorer PFS and OS. Within lymphocyte subsets, higher T cell frequencies were associated with better OS, and a higher pre-treatment frequency of CD226-expressing CD8⁺ memory T cells with better ICI response. ICI therapy induced increase in TIGIT

Indexed as

Biomarkers, TumorImmune Checkpoint InhibitorsNeoplasmsAgedFemaleHumansImmunophenotypingMaleMiddle AgedNeoplasm MetastasisPrognosisProspective StudiesRetrospective StudiesBiomarkers, TumorImmune Checkpoint InhibitorsBiomarkersCancer immunotherapyImmune checkpoint inhibitorPeripheral bloodPredictionPrognosis

Identifiers

PMID42068384
PMCPMC13135614

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.