Evidence map›Paper›PMID 42787640›Full record

ArticleResearch and practice in thrombosis and haemostasis2026

Distinct changes in plasma protein profiles of cancer patients receiving immune checkpoint inhibitors versus chemotherapy: implications for thrombosis risk and adverse outcomes.

Eleonora Camilleri, Nikola Vladic, Cornelia Englisch, Daniel Steiner, Matthias Preusser, Anna S Berghoff, Thorsten Fuereder, Julia M Berger, L Renee Ruhaak, Suzanne C Cannegieter and 3 more

Abstract readComparative Study
In one paragraph

Article in Research and practice in thrombosis and haemostasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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

13 authors.

Eleonora CamilleriDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Nikola VladicDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Cornelia EnglischDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Daniel SteinerDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Matthias PreusserDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Anna S BerghoffDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Thorsten FuerederDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Julia M BergerDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
L Renee RuhaakDepartment of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Suzanne C CannegieterDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Bart J M van VlijmenDivision of Thrombosis and Hemostasis, Department of Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Frederikus A KlokDivision of Thrombosis and Hemostasis, Department of Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Cihan AyDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chemotherapy and immune checkpoint inhibitors (ICIs) are distinct anticancer treatments. We studied their impact on plasma protein profiles in cancer patients, potentially providing insight into treatment-specific prothrombotic mechanisms. Objectives: To compare baseline and longitudinal changes in protein profiles of patients with non-small cell lung cancer or head and neck cancer receiving ICI or chemotherapy. Methods: We analyzed a matched cohort of 30 treatment-naïve patients from the Vienna Cancer and Thrombosis and Bleeding (CAT-BLED) study (10 non-small cell lung cancer and 5 head and neck cancer pairs). Plasma was collected before treatment, after 3 weeks, and at 3 months. We used quantitative protein mass spectrometry to measure 159 protein levels. Longitudinal changes were evaluated using linear mixed models with multiple testing correction. Results: Baseline protein profiles clustered by treatment assignment. Patients starting ICIs showed higher immune-related protein levels (eg, CD5 antigen-like, immunoglobulin mu chain C) and lower coagulation protein levels (factor[F]X, prothrombin) than those initiating chemotherapy. Two proteins changed during ICI, while 34 proteins (21%)changed during chemotherapy, with none and 12 (7%) remaining after multiple testing correction, respectively. At 3 months, chemotherapy was associated with increased levels of activated factor XIII (FXIIIa) (mean difference: 0.30; 95% confidence interval [CI], 0.06-0.54) and B (0.18; 95% CI, 0.03-0.34), fibulin-1 (0.25; 95% CI, 0.10-0.43), metalloproteinase inhibitor 2 (0.16; 95% CI, 0.02-0.31), and sex hormone-binding globulin (0.71; 95% CI, 0.23-1.14) and decreased serotransferrin (-0.10; 95% CI, -0.18 to -0.01) and cartilage acid protein 1 (-0.21; 95% CI, -0.33 to -0.09). Conclusion: In this pilot, chemotherapy and ICI were associated with treatment-specific changes in protein profiles, suggesting distinct pathophysiological processes driving thrombosis and adverse outcomes during treatment.

Indexed as

Antineoplastic AgentsBlood ProteinsCarcinoma, Non-Small-Cell LungHead and Neck NeoplasmsImmune Checkpoint InhibitorsLung NeoplasmsThrombosisAgedFemaleHumansMaleMiddle AgedRisk FactorsTreatment OutcomeAntineoplastic AgentsBlood ProteinsImmune Checkpoint Inhibitorsblood coagulationcancerchemotherapyimmune checkpoint inhibitorsvenous thrombosis

Identifiers

PMID42787640
PMCPMC13602718

What Socratic 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 Socratic graph.