Evidence map›Paper›PMID 42259605›Full record

ReviewJournal for immunotherapy of cancer2026

From viral drift to tumor drift: why cancer immunotherapy needs B cells and dynamic adaptation.

Zheng Liu

Abstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 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.

Zheng LiuGuangxi Key Laboratory of Multimodal Biomarkers and Precision Diagnosis, School of Laboratory Medicine and Biotechnology, Guilin Medical University, Guilin, China zliu1111@163.com.ORCID http://orcid.org/0000-0003-4158-6768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current T-cell-based immunotherapies-chimeric antigen receptor T (CAR-T) cells, checkpoint inhibitors, and neoantigen vaccines-share a fundamental vulnerability: they target fixed antigens while tumors continuously evolve. Like influenza viruses, cancer cells undergo antigenic drift, remodeling their surface antigen landscape and rendering static therapies eventually ineffective. Drawing on our recent proof-of-concept study and establishing the foundation in a mouse model of cutaneous squamous cell carcinoma, we propose a paradigm shift: treat cancer as a moving target. By periodically harvesting tumor cells, immunizing healthy donors, and returning the resulting antibody-rich serum, this approach generates polyclonal antibodies that dynamically match the tumor's evolving antigenic profile. We articulate three interconnected principles underlying this strategy: the threshold principle (immune control operates below a critical tumor burden), the drift principle (antigen change renders fixed targeting futile), and the B-cell advantage (healthy donors generate antibodies that tolerant hosts cannot). We outline key experiments to test these principles directly and discuss translational paths, including off-the-shelf antibody banks and combination with T-cell therapies. This article argues that borrowing adaptive strategies from infectious disease epidemiology could establish a new framework for cancer immunotherapy-one built on B-cell responses, dynamic matching, and continuous adaptation.

Indexed as

B-LymphocytesImmunotherapyNeoplasmsAnimalsHumansMiceAntibodyB cellImmunotherapy

Identifiers

PMID42259605
PMCPMC13250188

What OpenQuestion holds

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LicenceCC BY-NC
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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.