Evidence map›Paper›PMID 42909959›Full record

ReviewTheranostics2026

Organelle-targeted precision cancer theranostics: From molecular design to NIR-II imaging.

Dandan Chen, Beiling Zheng, Zhixiang Lu, Yaohui He, Pengfei Lyu

Abstract readReview
In one paragraph

Review in Theranostics, 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

5 authors.

Dandan ChenDepartment of Breast and Thyroid Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, China.
Beiling ZhengInstitute for Future Sciences, MOE Key Laboratory of Rare Pediatric Diseases, Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
Zhixiang LuState Key Laboratory of Vaccines for Infectious Diseases, Xiang' An Biomedicine Laboratory, Fujian Engineering Research Center of Molecular Theranostic Technology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, 361102, China.
Yaohui HeDepartment of Breast and Thyroid Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, China.
Pengfei LyuDepartment of Breast and Thyroid Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The disruption of organelle homeostasis is a hallmark in the process of tumor occurrence and development. The abnormalities of these subcellular structures not only indicate the pathological state of the body tissue, but also provide actionable targets for clinical intervention. In recent years, organelle targeted fluorescence imaging technology has shown unique advantages in tumor identification, subcellular localization and dynamic function monitoring. In this review, we systematically summarize the latest progress of organelle-targeted theranostics platforms for precise cancer diagnosis and treatment, focusing on five major organelles: Mitochondria (Mt), Lysosomes, Endoplasmic reticulum (ER), Nucleus and Golgi apparatus (GA). We discussed the molecular design strategies for these platforms to achieve targeted organelle diagnosis imaging. At the same time, we focused on comparing the activation mechanism of targeting motifs, imaging platforms, and advanced strategies such as Aggregation-Induced Emission (AIE), ratiometric imaging and signal amplification. These common strategies jointly ienhance the accuracy of tumor diagnosis. In addition, this review explores how organelle imaging information has evolved from a simple localization imaging tool to the basis for tumor treatment decision-making, including determining the best treatment window, regulating probe activation, monitoring intracellular transport, evaluating organelle damage, multi-organelle cascade therapies, and promoting immunogenic cell death. In addition to these cellular strategies, the emergence of Near-infrared II (NIR-II) fluorescence imaging provides the latest and key technical advantages for deep tissue tracking of biological distribution, tumor retention and treatment timing

Indexed as

NeoplasmsOptical ImagingOrganellesPrecision MedicineTheranostic NanomedicineAnimalsHumansMitochondriacancer nanomedicinefluorescence imagingNIR-II imagingorganelle-targeted therapytheranostics

Identifiers

PMID42909959
PMCPMC13684847

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.