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Record W4408569495 · doi:10.1021/acsabm.4c01986

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

2025· article· en· W4408569495 on OpenAlex
Yung-Ching Chang, Chan‐Chuan Liu, Wan-Ping Chan, Yulong Lin, Chun‐I Sze, Shiuan-Yeh Chen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS Applied Bio Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicNanoplatforms for cancer theranostics
Canadian institutionsInstitute of Cancer Research
FundersNational Science and Technology Council
KeywordsPhotothermal therapyGlioblastomaRaman spectroscopyCancer researchChemistryMedicineNanotechnologyMaterials sciencePhysicsOptics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.186
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it