Evidence map›Paper›PMID 42377764›Full record

ArticleJournal of neuro-oncology2026

Intratumoral serotonin and antidepressants in glioblastoma patients: narrowing the uncertainties.

Wendy Yi-Ying Wu, Barbro Numan Hellquist, Beatrice Melin, Benny Björkblom, Rickard L Sjöberg

Abstract read
In one paragraph

Article in Journal of neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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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

5 authors.

Wendy Yi-Ying WuDepartment of Diagnostics and Intervention, Oncology, Umeå University, Umeå, 90187, Sweden. wendy.wu@umu.se.ORCID https://orcid.org/0000-0002-6169-5155
Barbro Numan HellquistDepartment of Diagnostics and Intervention, Oncology, Umeå University, Umeå, 90187, Sweden.
Beatrice MelinDepartment of Diagnostics and Intervention, Oncology, Umeå University, Umeå, 90187, Sweden.
Benny BjörkblomDepartment of Chemistry, Umeå University, Umeå, 90187, Sweden.
Rickard L SjöbergDepartment of Clinical Science, Neurosciences, Umeå University, Umeå, 90187, Sweden. rickard.sjoberg@umu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAntidepressant use, which targets intracerebral serotonin metabolism, is common among glioblastoma patients. However, its interaction with tumor metabolism and survival remains unclear. We investigated the relationships between antidepressant use, intratumoral serotonin pathway metabolites, quality-of-life, and survival.

methodsWe analysed two complementary cohorts: a population-based cohort (n = 801) and a hospital-based biobank cohort (n = 153). In the population-based cohort, information about antidepressant use and survival were obtained from national registers. In the hospital-based cohort, intratumoral serotonin pathway metabolites were measured, and data on preoperative antidepressant use and quality-of-life were recorded. Linear and Cox regression models were used to investigate the association between antidepressant use, metabolites, quality-of-life and survival.

resultsIn the population-based cohort, antidepressant use was associated with poorer survival in adjusted analyses. However, use of fluoxetine or sertraline was associated with better survival compared with other selective serotonin reuptake inhibitors (HR = 0.62, 95% CI = 0.44-0.88). In the hospital-based cohort, preoperative antidepressant use was associated with lower intratumoral serotonin levels and its downstream metabolite, 5-HIAA. Higher serotonin levels were associated with better preoperative quality-of-life, especially general health. Serotonin pathway metabolites were not clearly associated with survival.

conclusionsThese findings suggest that higher tumor tissue serotonin abundance was associated with better patient-reported well-being but not with survival in gliobastoma. Survival differed across SSRI exposure groups, although causal interpretation is limited by the observational design. These findings do not provide strong evidence against the continued clinical use of sertraline or fluoxetine in glioblastoma patients when indicated.

Indexed as

Antidepressive AgentsBrain NeoplasmsGlioblastomaSerotoninAdultAgedCohort StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisQuality of LifeSelective Serotonin Reuptake InhibitorsSurvival RateAntidepressive AgentsSelective Serotonin Reuptake InhibitorsSerotoninAntidepressant useGlioblastomaSurvivalTissue metabolites

Identifiers

PMID42377764
PMCPMC13319255

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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 OpenQuestion graph.