Evidence map›Paper›PMID 42824425›Full record

ReviewAntibody therapeutics2026

Why antibody isotype matters for immunotherapy.

Sandra Kleinau

Abstract readReview
In one paragraph

Review in Antibody therapeutics, 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

1 author.

Sandra KleinauDepartment of Cell and Molecular Biology, Uppsala University, 75124 Uppsala, Sweden.ORCID https://orcid.org/0000-0002-9729-2286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoclonal antibodies (mAbs), engineered to recognize disease-associated antigens, are central to cancer immunotherapy due to their ability to block or eliminate malignant cells by engaging immune effector mechanisms. Yet many tumors evade or suppress these responses, limiting durable clinical benefit and highlighting the need to optimize antibody-based strategies. A critical determinant of mAb activity is antibody isotype, which governs interactions with Fc receptors, complement pathways, and immune effector cells. While most approved therapeutics employ immunoglobulin G1 (IgG1) for its robust immune-stimulating capacity, evidence suggests that context-dependent isotype selection could improve efficacy. Here, we review the structural and functional properties of human IgG and IgA subclasses, with a focus on anti-CD20 rituximab in two- and three-dimensional models of human B-cell lymphoma. We further discuss how antigen density, tumor architecture, and host variables influence antibody-mediated effector functions. Together, these considerations highlight opportunities to refine antibody isotype selection for more individualized cancer immunotherapy.

Indexed as

3D-tumor modelantibody-dependent cellular phagocytosiscomplement-dependent cellular cytotoxicityIgG/IgA subclassestherapeutic antibodies

Identifiers

PMID42824425
PMCPMC13628131

What Socratic holds

Textmetadata
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 Socratic graph.