Evidence map›Paper›PMID 40474284›Full record

ArticleJournal of nanobiotechnology2025

Orchestrated Cu

Xianbin Sun, Xinyi Wang, Xudong Li, Ya Wang, Ruofei Xu, Xinyi Shen, Ding Tan, Jingjing Liao, Haijun Chen, Yu Gao and 1 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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.

Xianbin SunFujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.
Xinyi WangFujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.
Xudong LiFujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.
Ya WangFujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.
Ruofei XuFujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.
Xinyi ShenFujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.
Ding TanFujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.
Jingjing LiaoFujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.
Haijun ChenFujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.
Yu GaoFujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, 350108, China. hellogaoyu@126.com.
Jianping ZhengDepartment of Oncology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350001, China. fjslzjp@sina.com.

Funding

Natural Science Foundation of Fujian Province 2024J01999
6 · The paper itself

Abstract

Reactive oxygen species (ROS)-based nanodynamic therapy is emerging as a promising approach for tumor treatment, particularly in eliciting immune responses for tumor immunotherapy. Nevertheless, the complex tumor microenvironment (TME) and the constraints of current sensitizers substantially compromise therapeutic efficacy. To address these challenges, we developed a rationally designed nanoplatform (LP/CuTT) through lipoic acid-modified orchestrated Cu²⁺-coordinated tetracycline-porphyrin self-assembly, to precisely remodel the immunosuppressive TME while potentiating antitumor immunotherapy via a novel photo-enhanced chemodynamic therapy (CDT) strategy. In vitro studies demonstrated that LP/CuTT-mediated photo-enhanced CDT effectively promoted concurrent apoptosis and cuproptosis in B16-F10 melanoma cells, coupled with robust induction of immunogenic cell death (ICD). Mechanistic investigations revealed that LP/CuTT drives macrophage polarization from tumor-promoting M2 to antitumor M1 phenotypes while promoting dendritic cell (DC) maturation, thereby orchestrating potent antitumor immune responses. In vivo evaluations showed preferential tumor accumulation of LP/CuTT, correlating with substantial ROS generation at tumor sites and remarkable therapeutic outcomes. Quantitative assessments further demonstrated elevated M1 macrophage infiltration in both tumor and splenic tissues, accompanied by enhanced CD8+ and CD4+ T cell recruitment. These findings provide key insights into developing orchestrated metal-coordinated nanotherapeutics by repurposing existing therapeutic agents, enabling the design of multifunctional systems that integrate efficient chemodynamic activity, TME remodeling, and immune activation for effective nanodynamic therapy.

Indexed as

CopperImmunotherapyPorphyrinsTetracyclineTumor MicroenvironmentAnimalsAntineoplastic AgentsApoptosisCell Line, TumorCuproptosisDendritic CellsHumansMacrophagesMelanoma, ExperimentalMiceMice, Inbred C57BLAntineoplastic AgentsCopperPorphyrinsReactive Oxygen SpeciesTetracyclineChemodynamic therapyCuproptosisImmunogenic cell deathOrchestrated coordinationTumor microenvironment

Identifiers

PMID40474284
PMCPMC12139202

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.