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Record W4403510173 · doi:10.1093/neuonc/noae144.265

P14.14.A INTRA-ARTERIAL CHEMOTHERAPY TREATMENT FOR RELAPSING GLIOBLASTOMA: RESULTS FROM A FIVE-YEAR SERIES

2024· article· en· W4403510173 on OpenAlexaff
Laurent-Olivier Roy, Marie-Claude Roy, G. Gahide, Jean‐François Latulippe, David Fortin

Bibliographic record

VenueNeuro-Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsGlioblastomaSeries (stratigraphy)ChemotherapyMedicineOncologyInternal medicineCancer researchGeology

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Glioblastoma (GBM) is the most common and aggressive type of primary brain tumour in adults. The GBM malignant phenotype depicts anarchic invasion of the brain parenchyma as well as radio-/chemoresistant properties. The complete surgical resection is unachievable and responses to standard therapy are invariably transient. In addition to the malignant GBM phenotype, the blood-brain barrier (BBB) is one of the prominent features that limits the efficacy of chemotherapy. Indeed, this facet of the brain’s blood vessels significantly blocks the passage of numerous therapeutic molecules from the blood stream to the brain. Tumour progression often occurs during or after standard first-line therapy which includes radiotherapy with concomitant and adjuvant temozolomide. The median overall survival (OS) is 14.6 months, but recurrence occurs on average only seven months after the initial diagnosis. At relapse, there is no consensus on the standard of care and the median OS ranges between three and nine months. At our institution, we use intra-arterial infusion to treat relapsing GBMs. This delivery strategy bypasses the first pass and significantly increases the local peak plasma concentration and area under the curve. This leads to a 3 to 5 fold increase of the chemotherapy concentration in the glioma-infiltrated brain parenchyma. Over the last 15 years, we have treated more than 722 patients for a total of 3600 intra-arterial chemotherapy (IAC) procedures. MATERIAL AND METHODS In this revision of the 2018-2023 series, we treated 59 relapsing GBM patients. Every IAC procedure was completed every four to six weeks. We reviewed the medical files to follow treatment evolution, tumour response and for grades 3 and 4 toxicity. RESULTS During this five-year period, a total of 406 arteriographic procedures were completed. The following chemotherapeutic agents were used: carboplatin, melphalan, methotrexate, Caelyx, carboplatin + melphalan, carboplatin + methotrexate, carboplatin + etoposide phosphate or melphalan + methotrexate. The median OS from diagnosis and relapse were 24 and 9 months respectively. A total of 28 patients suffered one or more grade 3 hematological toxicity events (17% of IAC cycles). Likewise, 24 grade 4 hematological toxicity events occurred in 16 patients (6% of IAC procedure). CONCLUSION In comparison with published clinical trials results, the data from our series suggest that IAC is a promising strategy for the treatment of relapsing GBM. We will gather more data and perform uni- and multivariate analyses. Moreover, we will soon begin a randomized clinical trial to test the combination of carboplatin + etoposide phosphate and carboplatin + Caelyx in the treatment of relapsing GBM. Furthermore, we are currently conducting preclinical experiment using topotecan, cytarabin and paclitaxel to determine their effectiveness in the IAC setting.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.303
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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