Evidence map›Paper›PMID 34907159›Full record

ArticleBlood cancer journal2021

Immune biomarkers to predict SARS-CoV-2 vaccine effectiveness in patients with hematological malignancies.

Luis-Esteban Tamariz-Amador, Anna Martina Battaglia, Catarina Maia, Anastasiia Zherniakova, Camila Guerrero, Aintzane Zabaleta, Leire Burgos, Cirino Botta, Maria-Antonia Fortuño, Carlos Grande and 13 more

Open access · goldAbstract read
In one paragraph

Article in Blood cancer journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 19% of its field
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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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

23 authors at 7 institutions in 4 countries.

Luis-Esteban Tamariz-Amador *Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
Anna Martina Battaglia *Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
Catarina Maia *Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
Anastasiia Zherniakova *Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.ORCID 0000-0001-9260-3025
Camila Guerrero *Clinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.ORCID 0000-0003-1395-5140
Aintzane ZabaletaClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
Leire BurgosClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
Cirino BottaDepartment of Experimental and Clinical Medicine, "Magna Graecia", University of Catanzaro, Catanzaro, Italy.ORCID 0000-0002-1522-4504
Maria-Antonia FortuñoClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
Carlos GrandeClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.ORCID 0000-0001-7227-1975
Andrea ManubensClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
Jose-Maria ArguiñanoComplejo Hospitalario de Navarra, IDISNA, Pamplona, Spain.
Clara GomezHospital Universitario de Galdakao, Galdakano, Spain.
Ernesto Perez-PersonaHospital Universitario de Araba - sede Txagorritxu, Vitoria, Spain.
Iñigo OlazabalHospital Universitario de Donostia, San Sebastian, Spain.
Itziar OiartzabalHospital Universitario de Cruces, Bilbao, Spain.
Carlos PanizoClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
Felipe ProsperClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.ORCID 0000-0001-6115-8790
Jesus F San-MiguelClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.ORCID 0000-0002-9183-4857
Paula Rodriguez-OteroClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain.
Esperanza Martín-SánchezClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain. emartinsan@unav.es.ORCID 0000-0002-8155-9185
Bruno PaivaClinica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBERONC, Pamplona, Spain. bpaiva@unav.es.ORCID 0000-0003-1977-3815
The Asociación Vasco-Navarra de Hematología y Hemoterapia (ASOVASNA) Cooperative Group
Clinica Universidad de Navarra · ESMagna Graecia University · ITComplejo Hospitalario de Navarra · ESHospital de Cruces · ESHospital de Galdakao · ESHospital Txagorritxu · ESRussian Research Institute of Hematology and Transfusiology · RU

Funding

EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) MYELOMANEXT
6 · The paper itself

Abstract

There is evidence of reduced SARS-CoV-2 vaccine effectiveness in patients with hematological malignancies. We hypothesized that tumor and treatment-related immunosuppression can be depicted in peripheral blood, and that immune profiling prior to vaccination can help predict immunogenicity. We performed a comprehensive immunological characterization of 83 hematological patients before vaccination and measured IgM, IgG, and IgA antibody response to four viral antigens at day +7 after second-dose COVID-19 vaccination using multidimensional and computational flow cytometry. Health care practitioners of similar age were the control group (n = 102). Forty-four out of 59 immune cell types were significantly altered in patients; those with monoclonal gammopathies showed greater immunosuppression than patients with B-cell disorders and Hodgkin lymphoma. Immune dysregulation emerged before treatment, peaked while on-therapy, and did not return to normalcy after stopping treatment. We identified an immunotype that was significantly associated with poor antibody response and uncovered that the frequency of neutrophils, classical monocytes, CD4, and CD8 effector memory CD127low T cells, as well as naive CD21+ and IgM+D+ memory B cells, were independently associated with immunogenicity. Thus, we provide novel immune biomarkers to predict COVID-19 vaccine effectiveness in hematological patients, which are complementary to treatment-related factors and may help tailoring possible vaccine boosters.

Indexed as

COVID-19 VaccinesAdultAgedAged, 80 and overBiomarkersCOVID-19FemaleHematologic NeoplasmsHumansImmunocompromised HostMaleMiddle AgedSARS-CoV-2Vaccine EfficacyBiomarkersCOVID-19 Vaccines

Identifiers

PMID34907159
PMCPMC8669666
OpenAlexW4200022933

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.