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Proton Pump Inhibitor Use and Survival in Patients With Newly Diagnosed Glioblastoma

2025· article· en· W4416666989 on OpenAlexaff
Émilie Le Rhun, Debaleena Sain, Sara Erridge, David A. Reardon, Giuseppe Minniti, Patrick Roth, Wolfgang Wick, Burt Nabors, John H. Sampson, Warren Mason, Timothy F. Cloughesy, J.C. Reijneveld, Roger Stupp, Matthias Preusser, Thierry Gorlia, Michael Weller

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicATP Synthase and ATPases Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsGlioblastomaAdverse effectTemozolomideOverall survivalProton-pump inhibitorClinical trial

Abstract

fetched live from OpenAlex

Importance: Proton pump inhibitors (PPI) are often prescribed to prevent steroid-induced gastritis and peptic ulcer disease in patients with glioblastoma. Yet, these drugs may enhance the activity of aldehyde dehydrogenase 1 A1 (ALDH1A1), which has been linked to protection from oxidative stress, radiotherapy, and chemotherapy. Objective: To explore the associations of the use of potent ALDH1A1-activating PPIs (PA-PPIs) and other antacid drugs with outcomes in patients with newly diagnosed glioblastoma. Design, Setting, and Participants: This meta-analysis was a secondary analysis of individual prospectively captured patient data using a dataset of 5 randomized clinical trials conducted between 2008 and 2020. Participants included patients with a new diagnosis of glioblastoma. Data analysis was completed in November 2024. Exposure: We assessed drug use at baseline and defined 3 landmarks: start of temozolomide maintenance cycles 1 (landmark 1) and 4 (landmark 2), and end of cycle 6 (landmark 3). Main Outcomes and Measures: The primary outcome measures were progression-free survival (PFS) and overall survival (OS) from baseline and from the start of each corresponding landmark time. Results: The study population included 2981 patients (1858 [62.3%] male; median [range] age, 58 [18-85] years). On univariate analysis, patients treated with PA-PPI had worse PFS and OS at all 4 time points. The multivariate analysis accounting for age, sex, performance status, steroid use, extent of resection, and MGMT status confirmed a difference for PFS at landmarks 1 (hazard ratio [HR], 1.14 [95% CI, 1.01-1.28]), 2 (HR, 1.26 [95% CI, 1.09-1.44]), and 3 (HR, 1.31 [95% CI, 1.10-1.56]), and for OS at landmarks 1 (HR, 1.34 [95% CI, 1.08-1.66]) and 2 (HR, 1.14 [95% CI, 1.01-1.29]). No such association was seen for the use of other antacid drugs. The negative association of PA-PPI use with PFS and OS was observed independently of MGMT promoter methylation and steroid use. Conclusions and Relevance: In this meta-analysis of patients with newly diagnosed glioblastoma, PPI use was associated with inferior survival outcomes. These findings suggest that PA-PPI use should be discouraged in patients with glioblastoma, since alternative agents are available and a detrimental effect cannot be excluded. Translational research studies should explore whether PPI-induced activity of ALDH mediates the potential adverse effects of PPI in glioblastoma. .

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.451

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 science0.0000.001
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 head0.011
GPT teacher head0.272
Teacher spread0.262 · 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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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