Evidence map›Paper›PMID 40479566›Full record

ReviewAging and disease2025

The Multimodal Nanomaterials of Phototherapy for Tumor Treatment.

Yanan Bao, Wenxin Chou, Yusen Hou, Shanlin Yang, Yi Li, Yuxia Zhao, Hongyou Zhao

Abstract readReview
In one paragraph

Review in Aging and disease, 2025. 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

7 authors.

Yanan BaoSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China.
Wenxin ChouSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China.
Yusen HouDepartment of Burn Plastic Surgery and Wound Repair, Beijing Fengtai You'anmen Hospital Beijing, 100069, China.
Shanlin YangDepartment of Laser Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China.
Yi LiDepartment of Oncology, 920th Hospital of Joint Logistics Support Force, Kunming, 650032, China.
Yuxia ZhaoKey Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences, Beijing, 100190, China.
Hongyou ZhaoSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor is a multiple disease in aged people, which seriously threat their physical and mental health. Photodynamic therapy (PDT) as a novel tumor treatment method has been applied in clinic. However, the limited penetration depth of the excitation light and the hypoxic environment of the tumor limit its therapeutic effect. To breakthrough these two bottlenecks, multimodal nanomaterials that combined two or three therapeutic modalities into a single system were designed, which can significantly improve the effectiveness of tumor treatment. This review firstly summarized the nanomaterials that can mediate the combinations between PDT and other strategies, including photothermal therapy (PTT), chemodynamic therapy (CDT), gas therapy (GT), starvation therapy (ST), photoacidity therapy (PAT), and even the synergistic combination of PDT, PTT, and CDT. Furthermore, the advantages and disadvantages of these combination therapies applied in tumor treatment were compared. Eventually, the challenges of these nanomaterials for clinical applications are discussed.

Indexed as

NanostructuresNeoplasmsPhotochemotherapyPhototherapyAnimalsCombined Modality TherapyHumansPhotothermal Therapy

Identifiers

PMID40479566
PMCPMC13061571

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.