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Record W4362713455 · doi:10.33552/ojcam.2021.06.000647

Temozolomide Resistance in Glioblastoma Multiforme: Mechanisms, Ramifications, and Potential Solutions to an Urgent Clinical Problem

2021· article· en· W4362713455 on OpenAlexaff
Anthony J. Berdis

Bibliographic record

VenueOnline Journal of Complementary & Alternative Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsTemozolomideDNA repairDNA damageCancer researchGlioblastomaDrug resistanceRadiation therapyCancerMedicineChemotherapyDacarbazineO-6-methylguanine-DNA methyltransferaseDrugCytotoxic T cellOncologyDNABioinformaticsBiologyPharmacologyMethyltransferaseInternal medicineIn vitroGeneticsMelanoma

Abstract

fetched live from OpenAlex

Glioblastoma multiforme (GBM) is the most common and malignant type of brain cancer. Current standard therapy for GBM involves surgery followed by ionizing radiation and treatment with temozolomide (TMZ), a DNA-alkylating agent. At the molecular level, TMZ produces several distinct DNA lesions such as N7 -methylguanine, N3 -methyladenine, and O6 -methylguanine that all produce cytostatic and cytotoxic effects against GBM cells. The unique molecular nature of each lesion requires that cells utilize several mutually exclusive DNA repair pathways to effectively correct the DNA damage inflicted by TMZ. At face value, the diversity in DNA repair pathways suggests that drug resistance to TMZ would be a relatively rare occurrence after treatment. Unfortunately, this is not the case. While TMZ treatment does extend post-operative survival by several months, most patients develop resistance to this anti-cancer agent which significantly reduces overall survival. This review assesses this important clinical problem by examining the molecular and cellular mechanisms responsible for the anti-cancer activity of TMZ as well as the mechanisms associated with inherent and TMZ-induced drug resistance.

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.

How this classification was reachedexpand

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.714

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.062
GPT teacher head0.386
Teacher spread0.324 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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