Evidence map›Paper›PMID 40100247›Full record

ArticleACS applied bio materials2025

Selective Photothermal Eradication of Glioblastoma Cells Coexisting with Astrocytes by Anti-EGFR-Coated Raman Tags.

Yung-Ching Chang, Chan-Chuan Liu, Wan-Ping Chan, Yu-Long Lin, Chun-I Sze, Shiuan-Yeh Chen

Abstract read
In one paragraph

Article in ACS applied bio materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Yung-Ching ChangDepartment of Photonics, National Cheng Kung University, Tainan City, 70101, Taiwan.
Chan-Chuan LiuDepartment of Cell Biology and Anatomy, National Cheng Kung University, Tainan City 70101, Taiwan.
Wan-Ping ChanDepartment of Photonics, National Cheng Kung University, Tainan City, 70101, Taiwan.
Yu-Long LinDepartment of Photonics, National Cheng Kung University, Tainan City, 70101, Taiwan.
Chun-I SzeDepartment of Cell Biology and Anatomy, National Cheng Kung University, Tainan City 70101, Taiwan.
Shiuan-Yeh ChenDepartment of Photonics, National Cheng Kung University, Tainan City, 70101, Taiwan.ORCID 0000-0003-4570-1065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is an aggressive and fatal tumor. The infiltrative spread of GBM cells hinders gross total resection. The residual GBM cells are significantly associated with survival and recurrence. Therefore, a theranostic method that can enhance the contrast between residual GBM and normal astrocyte (AS) cells and selectively eradicate GBM cells is highly desired. In this report, GBM and normal astrocyte cells are both cultured in the same microplate well to imitate a coexistence environment and treated with Raman tags functionalized by anti-EGFR. Compared to AS cells, GBM cells show 25% higher Raman emission, and their cell death rate increases by a factor of 2. These results demonstrate the potential for selective eradication of the residual GBM cells guided by robust Raman signals after the primary GBM surgery.

Indexed as

Antineoplastic AgentsAstrocytesBiocompatible MaterialsBrain NeoplasmsGlioblastomaPhotothermal TherapyCell Line, TumorCell SurvivalDrug Screening Assays, AntitumorErbB ReceptorsHumansMaterials TestingParticle SizeSpectrum Analysis, RamanSurface PropertiesAntineoplastic AgentsBiocompatible MaterialsEGFR protein, humanErbB Receptorsanti-EGFRfunctionalized nanoparticlesGBMglioblastomaphotothermal therapyRaman tags

Identifiers

PMID40100247
PMCPMC12015947

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.