Evidence map›Paper›PMID 35432362›Full record

ArticleFrontiers in immunology2022

Patterns of Peripheral Blood B-Cell Subtypes Are Associated With Treatment Response in Patients Treated With Immune Checkpoint Inhibitors: A Prospective Longitudinal Pan-Cancer Study.

Dominik A Barth, Stefanie Stanzer, Jasmin A Spiegelberg, Thomas Bauernhofer, Gudrun Absenger, Joanna Szkandera, Armin Gerger, Maria A Smolle, Georg C Hutterer, Sascha A Ahyai and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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

18 authors at 3 institutions in 2 countries.

Dominik A BarthDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Stefanie StanzerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Jasmin A SpiegelbergDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Thomas BauernhoferDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Gudrun AbsengerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Joanna SzkanderaDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Armin GergerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Maria A SmolleDepartment of Orthopaedics and Trauma, Medical University of Graz, Graz, Austria.
Georg C HuttererDepartment of Urology, Medical University of Graz, Graz, Austria.
Sascha A AhyaiDepartment of Urology, Medical University of Graz, Graz, Austria.
Tobias MadlGottfried Schatz Research Center, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria.
Florian PoschDivision of Hematology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Jakob M RiedlDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Christiane KlecDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Philipp J JostDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Julia KarglDivision of Hematology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Martin H StradnerDivision of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Martin PichlerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Medical University of Graz · ATBioTechMed-Graz · ATThe University of Texas MD Anderson Cancer Center · US

Funding

Austrian Science Fund FWF I 3792Austrian Science Fund FWF P 28854Austrian Science Fund FWF T 1112Austrian Science Fund FWF W 1226
6 · The paper itself

Abstract

Background: Immune checkpoint inhibitors (ICIs) have revolutionized systemic anti-tumor treatments across different types of cancer. Nevertheless, predictive biomarkers regarding treatment response are not routinely established yet. Apart from T-lymphocytes, the humoral immunity of B-lymphocytes is studied to a substantially lesser extent in the respective setting. Thus, the aim of this study was to evaluate peripheral blood B-cell subtypes as potential predictors of ICI treatment response. Methods: Thirty-nine cancer patients receiving ICI therapy were included into this prospective single-center cohort study. All had a first blood draw at the date before treatment initiation and a second at the time of first response evaluation (after 8-12 weeks). Seven different B-cell subtypes were quantified by fluorescence-activated cell sorting (FACS). Disease control- (DCR) and objective response rate (ORR) were co-primary study endpoints. Results: Overall, DCR was 48.7% and ORR was 25.6%, respectively. At baseline, there was no significant association of any B-cell subtype with neither DCR nor ORR. At the first response evaluation, an increase in the frequency of CD21 Conclusion: In this study, certain B-cell subpopulations were associated with ICI treatment response in various human cancer types.

Indexed as

Immune Checkpoint InhibitorsNeoplasmsB-LymphocytesCohort StudiesHumansProgression-Free SurvivalProspective StudiesImmune Checkpoint InhibitorsB cellscancerimmune checkpoint inhibitor therapylymphocytesresponse

Identifiers

PMID35432362
PMCPMC9010871
OpenAlexW4220693802

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.