Evidence map›Paper›PMID 40077819›Full record

ReviewCurrent medicinal chemistry2026

Near-infrared (NIR) Fluorophores in Cancer Bioimaging and Therapy.

Libo Yan, Weiming Zhang, Daogang Wang, Min Zhang, Ning Xu, Mengzhe Yang, Tao Ren

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current medicinal chemistry, 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

7 authors.

Libo YanSchool of Stomatology and Ophthalmology, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437000, China.
Weiming ZhangDepartment of Oncology, Wuming Hospital of Guangxi Medical University, Nanning, 530199, China.
Daogang WangDepartment of Gastroenterology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, 530000, China.
Min ZhangDepartment of Stomatology, the First People's Hospital of Yunnan Province, Kunming, 650032, China.
Ning XuDepartment of Clinical Medicine, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China.
Mengzhe YangDepartment of Scientific Research, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Tao RenDepartment of Oncology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China.

Funding

Key Research Project of Wuming, Nanning 20210124Program of Young Teacher and Researcher Development in Guangxi Province 2022KY0075Self funded Research Project of Guangxi Medicine GXZYA20220270
6 · The paper itself

Abstract

The development of multiple fluorescent agents has contributed to cancer diagnosis and therapy. Near-infrared (NIR) dyes have already been well studied and displayed significant potential in cancer bioimaging and therapy due to their unique characteristics. In the present literature, we illustrated the updated NIR classification and characteristics as well as their applications in (pre-) clinical cancer imaging and treatment. The NIR-based photodynamic therapy (PDT) and photothermal therapy (PTT) were also discussed, including their present limitations. Taken together, the future development of NIR fluorophores would greatly improve cancer precision diagnosis and targeted therapy as one of the promising approaches in this field.

Indexed as

Fluorescent DyesNeoplasmsOptical ImagingAnimalsHumansInfrared RaysPhotochemotherapyPhotosensitizing AgentsFluorescent DyesPhotosensitizing Agentsbioimagingindocyanine greenMalignancynear-infraredphotodynamic therapyphotothermal therapy

Identifiers

PMID40077819

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.