Evidence map›Paper›PMID 42736453›Full record

ReviewActa pharmacologica Sinica2026

Therapeutic cancer vaccines: development, challenges, and future perspectives.

Di Di, Luan-Feng Li, Tian-Yang He, Hong-Xia Cui, Yue Nian, Xue Jiao, Cui-Yan Han, Min-Jie Wei

Abstract readReview
PubMed Publisher
In one paragraph

Review in Acta pharmacologica Sinica, 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

8 authors.

Di Di *Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China.
Luan-Feng Li *Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China.
Tian-Yang HeDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China.
Hong-Xia CuiCollege of Pharmacy, Qiqihar Medical University, Qiqihar, 161006, China.
Yue NianLiaoning Medical Diagnosis and Treatment Center, Shenyang, 110000, China.
Xue JiaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China. xjiao@cmu.edu.cn.
Cui-Yan HanCollege of Pharmacy, Qiqihar Medical University, Qiqihar, 161006, China. hcymuphar@qmu.edu.cn.
Min-Jie WeiDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China. mjwei@cmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic cancer vaccines are designed to induce tumor-specific immunity and durable antitumor surveillance. However, their clinical efficacy remains limited by antigen heterogeneity, defective antigen presentation, immune exhaustion, and immunosuppression within the tumor microenvironment (TME). Advances in sequencing, immunopeptidomics, artificial intelligence (AI)-assisted neoantigen prioritization, nucleic acid engineering, dendritic cell (DC) biology, and combination therapy have shifted the field from empirical antigen exposure toward mechanism-guided vaccine design. This review outlines the historical development of therapeutic cancer vaccines, neoantigen identification strategies, and recent progress in DNA, RNA, peptide, cellular, and viral vaccine platforms. Key mechanisms shaping vaccine response and resistance are also discussed, including pattern-recognition receptor (PRR) signaling, dendritic cell-mediated antigen presentation, T-cell effector and memory differentiation, metabolic adaptation, epitope spreading, and TME remodeling. Future therapeutic cancer vaccines should be developed as integrated immunological systems that coordinate antigen discovery, precise delivery, innate immune calibration, memory maintenance, and local immune suppression reversal to achieve reproducible clinical benefit.

Indexed as

clinical outcomecombination therapyneoantigentherapeutic cancer vaccinetumor resistance

Identifiers

What OpenQuestion holds

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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.