Evidence map›Paper›PMID 42902412›Full record

ReviewJournal of hematology & oncology2026

Nanoengineered STING agonists for cancer therapy: toward immunodynamic control.

Naimeng Liu, Xiangyu Wang, Wenxiang Zhang, Yonemori Kan, Baranova Madina Petrovna, Zhongzhao Wang, Xiangyi Kong, Jing Wang

Abstract readReview
In one paragraph

Review in Journal of hematology & oncology, 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.

Naimeng Liu *Department of Breast Surgical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100021, China.
Xiangyu Wang *Department of Breast Surgical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100021, China.
Wenxiang Zhang *Department of Breast Surgical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100021, China.
Yonemori KanDepartment of Medical Oncology, Department of Experimental Therapeutics, Rare Cancer Center, National Cancer Center Hospital (NCCH), NCCH, National Cancer Center, Tsukiji 5-1-1, Chuo-ku, Tokyo, Japan.
Baranova Madina PetrovnaDepartment of Skin and Breast Tumor, University Clinical Hospital No. 4 Affiliated with the First Moscow State Medical University Named After I.M. Sechenov, Moscow, Russian Federation.
Zhongzhao WangDepartment of Breast Surgical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100021, China. wangzhongzhao206@sina.com.
Xiangyi KongDepartment of Breast Surgical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100021, China. kongxiangyikxy@gmail.com.
Jing WangDepartment of Breast Surgical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100021, China. wangjing@cicams.ac.cn.

Funding

Natural Science Foundation of China No. 82371842the Beijing Municipal Natural Science Foundation No. 7252117the CAMS Innovation Fund for Medical Sciences (CIFMS) No. 2024-I2M-ZH-006
6 · The paper itself

Abstract

Activation of the cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway is a mechanistically compelling strategy for cancer immunotherapy, but first-generation STING agonists have shown limited clinical activity despite clear pharmacodynamic induction of interferon-related signals. This translational gap suggests that therapeutic benefit depends not only on pathway engagement but also on where, in which cells, at what amplitude, and for how long STING is activated. In this review, we summarize the cellular context of cGAS-STING signaling, the pharmacological evolution and clinical experience of STING agonists, and the major barriers imposed by route, species differences, biological heterogeneity, and systemic inflammatory toxicity. We then examine how nanoengineering may improve agonist protection, cytosolic access, tissue and cell-type selectivity, and temporal exposure. Importantly, we distinguish improved delivery or tumor accumulation from direct evidence of altered signaling kinetics or a wider therapeutic window. Representative lipid, polymeric, inorganic, biogenic, biomimetic, antibody-directed, and prodrug-based platforms are evaluated together with mechanism-based combination sequencing, hematologic malignancy-specific considerations, biomarker-guided patient selection, repeated-dose safety, and manufacturability. Overall, nano-STING therapy should be developed toward immunodynamic control rather than simple delivery enhancement, with benefit judged by the relationship among delivery, cell-resolved pharmacodynamics, antitumor efficacy, and toxicity.

Indexed as

Antineoplastic AgentsMembrane ProteinsNeoplasmsAnimalscGAS-STING Signaling PathwayHumansImmunotherapyNanomedicineNanoparticlesSignal TransductionSTING ProteinAntineoplastic AgentsMembrane ProteinsSTING1 protein, humanSTING ProteinCancer immunotherapycGAS-STING pathwayClinical translationImmunodynamic controlNanomedicineSTING agonistTherapeutic window

Identifiers

PMID42902412
PMCPMC13685290

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.