Evidence map›Paper›PMID 39539970›Full record

ArticleInternational journal of nanomedicine2024

Stimuli-Responsive Peptide/siRNA Nanoparticles as a Radiation Sensitizer for Glioblastoma Treatment by Co-Inhibiting RELA/P65 and EGFR.

Bohong Cen, Jian Zhang, Xinghua Pan, Zhongyuan Xu, Rong Li, Chengcong Chen, Baiyao Wang, Zhiyong Li, Guoqian Zhang, Aimin Ji and 1 more

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

11 authors.

Bohong CenDepartment of Radiation Oncology, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510095, People's Republic of China.
Jian ZhangDepartment of Radiation Oncology, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510095, People's Republic of China.ORCID 0000-0002-0557-886X
Xinghua PanDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou, Guangdong, 510515, People's Republic of China.ORCID 0000-0002-7421-8155
Zhongyuan XuClinical Pharmacy Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China.
Rong LiDepartment of Radiation Oncology, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510095, People's Republic of China.
Chengcong ChenDepartment of Radiation Oncology, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510095, People's Republic of China.
Baiyao WangDepartment of Radiation Oncology, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510095, People's Republic of China.
Zhiyong LiDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China.
Guoqian ZhangDepartment of Radiation Oncology, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510095, People's Republic of China.
Aimin JiDepartment of Pharmacy, The Seventh Affiliated Hospital of Southern Medical University, Foshan, Guangdong, 528244, People's Republic of China.
Yawei YuanDepartment of Radiation Oncology, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510095, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop a novel approach for increasing radiosensitivity in glioblastoma (GBM) by using targeted nanoparticles to deliver siRNA aimed at silencing the EGFR and RELA/P65 genes, which are implicated in radioresistance. Patients and Methods: We engineered biodegradable, tumor-targeted, self-assembled, and stimuli-responsive peptide nanoparticles for efficient siRNA delivery. We evaluated the nanoparticles' ability to induce gene silencing and enhance DNA damage under radiation in vitro and in vivo. The nanoparticles were designed to exhibit pH-responsive endosomal escape and αvβ3 integrin targeting, allowing for preferential accumulation at tumor sites and traversal of the blood-brain tumor barrier. Results: The application of these nanoparticles resulted in significant gene silencing, increased apoptosis, and decreased cell viability. The treatment impaired DNA repair mechanisms, thereby enhancing radiosensitivity in GBM cells. In a GBM mouse model, the combination of nanoparticle treatment with radiotherapy notably prolonged survival without apparent toxicity. Conclusion: Our findings suggest that nanoparticle-mediated dual gene silencing can effectively overcome GBM radioresistance. This strategy has the potential to improve clinical outcomes in GBM treatment, proposing a promising therapeutic avenue for this challenging malignancy.

Indexed as

Brain NeoplasmsErbB ReceptorsGlioblastomaNanoparticlesPeptidesRadiation-Sensitizing AgentsRNA, Small InterferingTranscription Factor RelAAnimalsApoptosisCell Line, TumorCell SurvivalGene SilencingHumansMiceMice, NudeEGFR protein, humanErbB ReceptorsPeptidesRadiation-Sensitizing AgentsRELA protein, humanRNA, Small InterferingTranscription Factor RelAglioblastomaradiation sensitizerself-assembly nanoparticlessiRNA delivery

Identifiers

PMID39539970
PMCPMC11559232

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.