Evidence map›Paper›PMID 41929650›Full record

ArticleInternational journal of nanomedicine2026

Targetable Biomimetic NIR-II Theranostic Nanoplatform for Highly Efficient Multimodal Imaging-Guided Photothermal Therapy of Cervical Cancer.

Chenyang Chu, Zhong Du, Jing Wang, Maierhaba Aili, Jiaxing Li, Jiabao Xiong, Rong Ma, Cailing Ma, Nuernisha Alifu

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Chenyang Chu *Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, People's Republic of China.ORCID 0009-0000-0728-266X
Zhong Du *The Second Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, Urumqi, People's Republic of China.
Jing WangDepartment of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, People's Republic of China.
Maierhaba AiliDepartment of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, People's Republic of China.
Jiaxing LiSchool of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, People's Republic of China.
Jiabao XiongThe Second Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, Urumqi, People's Republic of China.
Rong MaDepartment of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, People's Republic of China.
Cailing MaDepartment of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, People's Republic of China.
Nuernisha AlifuScience and Technology Innovation and Achievement Transformation Service Center, Xinjiang Medical University, Urumqi, People's Republic of China.ORCID 0000-0003-1236-519X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cervical cancer (CC) is still the fourth most common cause of cancer deaths in women. However, current biomedical imaging techniques exhibit inherent limitations in the diagnosis and treatment of CC. This study aims to develop a biomimetic nanoplatform based on tumor cell membranes, loaded with a palladium (Pd)-based computed tomography (CT) contrast agent and the near-infrared (NIR) fluorescent probe indocyanine green (ICG). This multifunctional nanoplatform is designed to integrate multimodal imaging with photothermal therapy (PTT), thereby improving the diagnostic accuracy and therapeutic efficacy against CC. Methods: In this study, biomimetic nanoparticles (NPs), designated as M@Pd-ICG NPs, were synthesized by encapsulating Pd and ICG within HeLa cell membranes derived from cell-derived xenograft (CDX) models. Subsequently, the toxicity, biocompatibility, and tumor suppression capability of the M@Pd-ICG NPs were evaluated in vitro. In vivo, the multimodal imaging performance of the M@Pd-ICG NPs and their photothermal therapeutic efficacy under 808-nm laser irradiation were investigated in mouse model bearing subcutaneous cervical tumor. Results: The M@Pd-ICG NPs were successfully prepared and exhibited favorable stability, excellent photothermal conversion efficiency (34.04%), and good biocompatibility, enabling homologous targeting and prolonged circulation time. The M@Pd-ICG NPs integrated the complementary advantages of NIR-II fluorescence imaging (900-1700 nm, NIR-II FI), photothermal imaging (PTI), and CT imaging. Both in vitro and in vivo studies demonstrated that, under 808-nm laser irradiation, M@Pd-ICG NPs induced significant photothermal effects and tumor ablation. Conclusion: M@Pd-ICG NPs successfully integrate multimodal imaging and PTT, owing to their excellent targeting capability and good biocompatibility, demonstrating potential for further biomedical applications.

Indexed as

Biomimetic MaterialsNanoparticlesPhotothermal TherapyTheranostic NanomedicineUterine Cervical NeoplasmsAnimalsFemaleHeLa CellsHumansIndocyanine GreenMiceMice, NudeMultimodal ImagingPalladiumTomography, X-Ray ComputedIndocyanine GreenPalladiumcervical cancerindocyanine greenmultimodal imagingpalladiumphotothermal therapytumor cell membranes

Identifiers

PMID41929650
PMCPMC13039669

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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.