Evidence map›Paper›PMID 41437379›Full record

ArticleJournal of nanobiotechnology2025

Dual-site spatiotemporal and simultaneous inhibition on PIN1 via arsenic-retinoic albumin nanoparticles enables synergistic oncotherapy.

Dayun Yang, Jianping Wang, Ruoru Liu, Jinfa Chen, Haiying Wen, Yu Li, Bo Lu, Zhao Guo, Daxiang Cui, Lee Jia 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Dayun YangFujian Key Laboratory of Cognitive Function and Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China.
Jianping WangFujian Key Laboratory of Cognitive Function and Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China.
Ruoru LiuFujian Key Laboratory of Cognitive Function and Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China.
Jinfa ChenLaboratory Center, School of Public Health, Fujian Medical University, Fuzhou, 350122, China.
Haiying WenFujian Key Laboratory of Cognitive Function and Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China.
Yu LiFujian Key Laboratory of Cognitive Function and Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China.
Bo LuFujian Key Laboratory of Cognitive Function and Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China.
Zhao GuoFujian Key Laboratory of Cognitive Function and Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China.
Daxiang CuiThe First Affiliated Hospital, Henan University, Kaifeng, 475004, China.
Lee JiaThe First Affiliated Hospital, Henan University, Kaifeng, 475004, China. pharmlink@gmail.com.
Haiyan DongFujian Key Laboratory of Cognitive Function and Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China. cmopdhy@163.com.

Funding

Fujian Provincial Key Laboratory of Innovative Drug Target Research FJ-YW-2022KF04the geriatric pharmaceutical center for international cooperation and disciplinary innovation of China Pharmaceutical University 111 Centerthe National Science Foundation of Fujian Province 2024J01492the National Science Foundation of Fujian Province 2025J01691the Young Talents Program of Fujian Province 2202SCYJH001
6 · The paper itself

Abstract

Peptidyl-prolyl cis-trans isomerase NIMA-interacting 1 (Pin1) is a master regulator of oncogenic signaling, uniquely catalyzing the isomerization of phosphorylated Ser/Thr-Pro motifs to drive malignant transformation, proliferation, and metastasis. Despite its central role in tumorigenesis, effective therapeutic targeting of Pin1 remains unmet. Current inhibitors such as all-trans retinoic acid (ATRA) and arsenic trioxide (ATO) show limited efficacy due to their insufficient potency as standalone agents. Here, we report the rational design of dual-drug-conjugated human serum albumin nanoparticles (ATRA-ATO-NPs) that enable dual-site, spatiotemporal, and simultaneous inhibition of Pin1. These engineered nanoparticles exhibit uniform morphology, sustained co-release kinetics, and enhanced tumor accumulation via improved permeability and retention. In vitro, ATRA-ATO-NPs achieved synergistic inhibition of hepatocellular carcinoma proliferation and migration, significantly outperforming free or co-administered drugs. In vivo, ATRA-ATO-NPs produced superior tumor suppression and reduced lung metastasis in murine models without inducing hematologic or organ toxicity. Mechanistically, proteomic and pathway enrichment analyses revealed broader and deeper inhibition of Pin1-regulated oncogenic and metabolic networks─including Wnt/β-catenin, NF-κB, and CDK signaling─compared to either drug alone. Collectively, ATRA-ATO-NPs offer a mechanistically targeted, systemically safe, and highly effective strategy for advanced oncotherapy through dual-site spatiotemporal and simultaneous Pin1 inhibition.

Indexed as

Antineoplastic AgentsNanoparticlesNIMA-Interacting Peptidylprolyl IsomeraseTretinoinAnimalsArsenic TrioxideCell Line, TumorCell MovementCell ProliferationDrug SynergismHumansLiver NeoplasmsMiceMice, Inbred BALB CMice, NudeSerum Albumin, HumanAntineoplastic AgentsArsenic TrioxideNIMA-Interacting Peptidylprolyl IsomerasePIN1 protein, humanSerum Albumin, HumanTretinoinAll-trans retinoic acidArsenic trioxideMultiple oncogenic pathwaysPin1Synergism

Identifiers

PMID41437379
PMCPMC12837326

What OpenQuestion holds

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Registered trials

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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.