Evidence map›Paper›PMID 42220520›Full record

ReviewFrontiers in immunology2026

Tumor antigen-associated autoantibodies: generation mechanisms, roles in tumorigenesis and progression, and clinical application prospects.

Wenqi Tai, Cuiling Zheng

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Wenqi TaiDepartment of Clinical Laboratory, Laboratory Department, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Cuiling ZhengDepartment of Clinical Laboratory, Laboratory Department, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor antigen-associated autoantibodies (TAAbs) are generated by the immune system in response to tumor-associated antigens (TAAs). The underlying mechanisms of their production remain incompletely understood, yet may encompass factors such as aberrant protein expression, deficiencies in immune tolerance, the tumor inflammatory microenvironment, exosomes, and immunogenic cell death. TAAbs exert a dual effect in tumor initiation and progression, both facilitating and impeding the development of malignant tumors. They represent promising biomarkers for early tumor diagnosis, prognosis assessment, and evaluation of treatment efficacy or outcomes, thereby emerging as a current research focal point. This review initially clarifies the multidimensional mechanisms and dual functions of TAAbs in tumorigenesis and tumor progression, and subsequently explores their application prospects in tumor diagnosis, treatment, and prognosis. Finally, through a summary and analysis of the current research landscape, three crucial and feasible future research directions are put forward. It should be underscored that TAAb detection is a promising adjunctive instrument for tumor diagnosis and treatment; however, it still confronts substantial challenges in clinical application and necessitates further in-depth exploration.

Indexed as

Antigens, NeoplasmAutoantibodiesCarcinogenesisNeoplasmsAnimalsBiomarkers, TumorDisease ProgressionHumansPrognosisTumor MicroenvironmentAntigens, NeoplasmAutoantibodiesBiomarkers, Tumorearly diagnosismechanism of generationprognosis evaluationtumor antigen-associated autoantibodiestumor promotiontumor suppression

Identifiers

PMID42220520
PMCPMC13215806

What Socratic holds

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LicenceCC BY
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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 Socratic graph.