Evidence map›Paper›PMID 41673094›Full record

ArticleOncogene2026

Upconversion mesoporous silica nanoparticles co-delivering celecoxib and rose bengal enable multimodal immunogenic and anti-angiogenic therapy for spinal metastasis of non-small cell lung cancer.

Xinxin Li, Shuangmei Liu, Ruoyu Wang, Xinlei Wang

Abstract read
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Article in Oncogene, 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
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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

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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

4 authors.

Xinxin Li *Dalian Medical University, Dalian, China.
Shuangmei Liu *Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China.
Ruoyu WangDalian Medical University, Dalian, China. wangruoyu@dlu.edu.cn.ORCID http://orcid.org/0000-0003-3570-1811
Xinlei WangDepartment of Interventional Therapy, The First Hospital of China Medical University, Shenyang, China. 20181080@cmu.edu.cn.ORCID http://orcid.org/0009-0000-7143-5552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) with spinal metastasis represents a clinical challenge due to its aggressive nature, limited treatment options, and profound impact on patient quality of life. Here, we report the development of an innovative upconversion mesoporous silica nanoparticle (UCMS) platform co-loaded with celecoxib and rose bengal (UCMS@CXB/RB), engineered to synergistically combine photodynamic therapy (PDT) and cyclooxygenase-2 (COX-2) inhibition. Upon near-infrared (NIR) irradiation, UCMS@CXB/RB generated abundant reactive oxygen species, triggered immunogenic cell death, and significantly suppressed prostaglandin E2 signaling, leading to reduced angiogenesis and improved antitumor immunity. In vitro and in vivo studies confirmed that this nanoplatform effectively remodeled the tumor microenvironment, inhibited tumor growth, and alleviated cancer-induced spinal dysfunction. Single-cell multi-omics analysis further revealed dynamic crosstalk among immune cells, tumor cells, and endothelial populations, providing mechanistic insights into the multifaceted therapeutic effects of UCMS@CXB/RB. Our results underscore the clinical potential of integrating PDT with targeted COX-2 blockade to address the complex pathophysiology of NSCLC spinal metastasis. This study presents a promising minimally invasive therapeutic strategy with strong translational relevance for managing metastatic NSCLC and improving patient outcomes.

Indexed as

Angiogenesis InhibitorsCarcinoma, Non-Small-Cell LungCelecoxibLung NeoplasmsNanoparticlesRose BengalSilicon DioxideSpinal NeoplasmsAnimalsCell Line, TumorCyclooxygenase 2 InhibitorsFemaleHumansMiceNeovascularization, PathologicPhotochemotherapyAngiogenesis InhibitorsCelecoxibCyclooxygenase 2 InhibitorsRose BengalSilicon Dioxide

Identifiers

PMID41673094

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.