Evidence map›Paper›PMID 40276640›Full record

ArticleInternational journal of nanomedicine2025

Synergistic Induction of Immunogenic Cell Death by Biomineralized Manganese and Bisphosphonates Enhances Anti-PD-L1 Therapy in Triple-Negative Breast Cancer.

Xiuli Zhang, Nan Liu, Mingjing Wei, Chuanlai Yang, Yanhua Lin, Yarong Zeng, Yufang Li, Lizhi Zhou, Tingting Li, Qingbing Zheng and 5 more

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2025. 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

15 authors.

Xiuli Zhang *State Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Nan Liu *State Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Mingjing WeiState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Chuanlai YangState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Yanhua LinState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Yarong ZengState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Yufang LiState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Lizhi ZhouState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Tingting LiState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Qingbing ZhengState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Hai YuState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Jun ZhangState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.
Ying GuState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.ORCID 0000-0002-2870-2800
Ningshao XiaState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.ORCID 0000-0003-0179-5266
Shaowei LiState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, People's Republic of China.ORCID 0000-0002-3374-1038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite therapeutic benefits of anti-Programmed Death-Ligand 1 (PD-L1) therapy in triple-negative breast cancer (TNBC), low response rates and resistance limit its efficacy. Both manganese (Mn) and bisphosphonates (BPs) are known to induce immunogenic cell death (ICD). Strategies to synergistically enhance ICD induction and elucidate the underlying molecular mechanisms remain to be fully explored. Methods: We analyzed the mode of apoptosis and immunogenicity of cancer cells post-treatment using Western blotting, flow cytometry, and confocal microscopy. RNA sequencing was employed to identify activated apoptotic pathways and elucidate the molecular mechanisms underlying ICD when Mn² Results: By leveraging the doping capacity of hydroxyapatite (HA) for Mn² Conclusion: MnHARis effectively synergizes Mn²

Indexed as

DiphosphonatesImmunogenic Cell DeathManganeseTriple Negative Breast NeoplasmsAnimalsApoptosisAutophagyB7-H1 AntigenCell Line, TumorDrug SynergismDurapatiteFemaleHumansMiceMice, Inbred BALB CB7-H1 AntigenCD274 protein, humanDiphosphonatesDurapatiteManganesebreast cancerimmune checkpoint inhibitorimmunotherapytumor infiltrating lymphocytetumor microenvironment

Identifiers

PMID40276640
PMCPMC12019294

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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.