Evidence map›Paper›PMID 41050077›Full record

ArticleOncology research2025

SARS-CoV-2 Vaccine-Induced Seroconversion and Immune Correlates in Patients with Hematological Malignancies. A Real World Study.

Norbert Nass, Mohamad-Kamal Yaakoub, Alexandra-Victorita Simion, Hartmut Kroll, Sabine Westphal, Judith Pannier, Gerhard Behre

Abstract read
In one paragraph

Article in Oncology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Norbert NassDepartment of Internal Medicine 1, Dessau Medical Centre and Brandenburg Medical School Theodor-Fontane, Dessau, 06847, Germany.
Mohamad-Kamal YaakoubDepartment of Internal Medicine 1, Dessau Medical Centre and Brandenburg Medical School Theodor-Fontane, Dessau, 06847, Germany.
Alexandra-Victorita SimionInstitute of Clinical Chemistry, Dessau Medical Centre and Brandenburg Medical School Theodor-Fontane, Dessau, 06847, Germany.
Hartmut KrollInstitute for Transfusion Medicine Dessau, Red Cross Blood Transfusion Service NSTOB, Dessau, 06847, Germany.
Sabine WestphalInstitute of Clinical Chemistry, Dessau Medical Centre and Brandenburg Medical School Theodor-Fontane, Dessau, 06847, Germany.
Judith PannierDepartment of Internal Medicine 1, Dessau Medical Centre and Brandenburg Medical School Theodor-Fontane, Dessau, 06847, Germany.
Gerhard BehreDepartment of Internal Medicine 1, Dessau Medical Centre and Brandenburg Medical School Theodor-Fontane, Dessau, 06847, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with hemato-oncological malignancies may respond insufficiently to vaccination, especially in terms of antibody titer. The antibody response depends on the type of malignancy as well as the type and timing of treatment. We intended to evaluate this using real-world data from patients of our regional hospital. This study also considers the role of immune status, including T-cell activation markers, in predicting vaccination success. Methods: Seventeen patients of our hospital having a hematological malignancy were included in this study, including myeloma, lymphoma, as well as acute myeloid leukemia (AML) and chronic lymphoid leukemia (CLL). All patients were vaccinated against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) using Tozinameran following current recommendations. Circulating antibodies directed against the spike protein of SARS-CoV-2 were determined by a commercial immune assay. Immune status was determined from peripheral blood by flow cytometry. Both parameters were followed in fifteen patients who provided sufficient follow-up data for up to one year. Patients were categorized as responders or non-responders, and differences in diagnosis, treatment, and immune status were analyzed. Results: Antibody response depended on both diagnosis and treatment. Active treatment directed against B-cells, such as anti-Cluster of Differentiation 20 (CD20) therapy, was associated with weak seroconversion. For CD38-as well as proteasome-directed therapies, the data suggest that responders as well as non-responders exist. Notably, low peripheral B-cell numbers and high CD3+HLADR+cell counts correlated with weak seroconversion upon vaccination. Conclusions: We suggest that peripheral immune status can be applied as a predictive biomarker for seroconversion upon vaccinations.

Indexed as

Antibodies, ViralCOVID-19COVID-19 VaccinesHematologic NeoplasmsSARS-CoV-2SeroconversionAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedSpike Glycoprotein, CoronavirusVaccinationAntibodies, ViralCOVID-19 VaccinesSpike Glycoprotein, Coronavirushematologic malignancieslymphomamyelomaseroconversionSevere Acute Respiratory Syndrome Coronavirus 2 vaccination

Identifiers

PMID41050077
PMCPMC12494110

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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.