Evidence map›Paper›PMID 41981626›Full record

ReviewMolecular cancer2026

Immunogenic cell death as a cornerstone for combination therapies with immune checkpoint blockade.

Yubo Niu, Shuangli Zhu, Kai Fu, Yongtong Lai, Can Pan, Yan Yang, Sijia Li, Xueping Wang, Kenneth Kin Wah To, Fang Wang and 1 more

Abstract readReview
In one paragraph

Review in Molecular cancer, 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. Review
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

11 authors.

Yubo NiuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Shuangli ZhuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Kai FuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Yongtong LaiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Can PanState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Yan YangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Sijia LiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Xueping WangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Kenneth Kin Wah ToSchool of Pharmacy, The Chinese University of Hong Kong, Hong Kong, 999077, China.
Fang WangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China. wangf@sysucc.org.cn.
Liwu FuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China. fulw@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) has significantly advanced tumor therapy, yet its overall response rates remain limited and are often accompanied by immune-related adverse effects. Immunogenic cell death (ICD), a specialized form of regulated cell death, elicits antitumor immunity through the release of damage-associated molecular patterns and cytokines. This review systematically examines the mechanisms by which ICD enhances the efficacy of ICB therapy and evaluates its potential for clinical translation. ICD facilitates the recruitment of dendritic cells into the tumor microenvironment via “find me” signals and, through the exposure of “eat me” signals, enables dendritic cell-mediated phagocytosis and antigen presentation of tumor cells. This cascade effectively transforms immunologically “cold” tumors into “hot” tumors, augmenting cytotoxic T lymphocyte infiltration and function, thereby improving ICB therapeutic outcomes. Additionally, ICD promotes the formation of tertiary lymphoid structures, which further remodel the tumor microenvironment and support sustained immune surveillance. Although preclinical studies underscore the synergistic potential of combining ICD inducers with ICB, clinical trial outcomes have been variable, with efficacy influenced by tumor heterogeneity, treatment sequencing, and the immunosuppressive tumor microenvironment. Future investigations should focus on optimizing ICD induction protocols, developing specific biomarkers, and designing personalized combination strategies to enable more precise and effective immunotherapeutic interventions in oncology.

Indexed as

Immune Checkpoint InhibitorsImmunogenic Cell DeathNeoplasmsAnimalsCombined Modality TherapyHumansImmunotherapyTumor MicroenvironmentImmune Checkpoint InhibitorsImmune checkpoint blockadeImmunogenic cell deathTertiary lymphoid structuresTumor microenvironment

Identifiers

PMID41981626
PMCPMC13202799

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.