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. 2025 Oct 24;176(1):42.
doi: 10.1007/s11060-025-05299-0.

Clinical predictors of pseudoprogression in glioblastoma: a retrospective cohort analysis

Affiliations

Clinical predictors of pseudoprogression in glioblastoma: a retrospective cohort analysis

L J N Hoosemans et al. J Neurooncol. .

Abstract

Purpose: Distinguishing pseudoprogression (PsP) from true progression (TP) in glioblastoma (GBM) remains a diagnostic challenge, yet is essential for guiding treatment and counseling prognosis. This study retrospectively assessed the incidence, clinical predictors, and survival impact of PsP compared to TP.

Methods: Patients with surgically treated GBM and postoperative (chemo)radiotherapy in two Dutch hospitals (2006-2021) were included. Reports of magnetic resonance imaging (MRI) scans performed 4 months post-radiotherapy and at 3-month intervals, as well as reports of MRI scans prompted by neurological decline, were evaluated for PsP, TP, or mixed response (MR). Associations with clinical, tumor, and treatment characteristics and overall survival (OS) were analyzed.

Results: Of 424 GBM patients, 175 were eligible for PsP analysis. The incidence of PsP was 29.1%, and PsP was associated with longer OS (median 16.6 months, 95% CI 12.0-21.2) compared to MR (14.1 months, 95% CI 11.1-17.2) and TP (11.6 months, 95% CI 10.0-13.2; p = 0.010). However, PsP occurring < 4 months after chemoradiotherapy was linked to shorter OS (11.3 months) than PsP > 4 months (17.4 months; p = 0.027). Male sex was significantly associated with outcome in univariate analysis, showing a trend toward significance in multivariate analysis. Treatment completion remained significant only in the multivariate model.

Conclusion: PsP is associated with improved survival compared to TP, though early-onset PsP portends poorer outcomes. None of the evaluated factors were a significant predictor of PsP in both univariate and multivariate analyses. Future research should focus on validating molecular markers, and refining PsP definitions using standardized criteria.

Keywords: Chemoradiotherapy; Glioblastoma; MGMT; Predictive factors; Pseudoprogression.

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Conflict of interest statement

Declarations. Ethical approval: This is a retrospective cohort study, approved by the Maastricht Academic Hospital Ethical committee (METC 16-4-022). Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flowchart of the study population
Fig. 2
Fig. 2
(a) OS for first event TP versus MR and PsP. (b) Cox proportional hazard model for prognostic factors of OS in a. (c) OS for early PsP (< 4 months after (chemo)radiotherapy) versus late PsP (> 4 months after (chemo)radiotherapy). (d) Cox proportional hazard model for prognostic factors of OS in c. HR = hazard ratio; CI = confidence interval
Fig. 3
Fig. 3
(a) Fine and Gray regression analysis of patient, tumor, and treatment characteristics on the occurrence of PsP. (b) Multivariate logistic regression model to assess possible confounding of patient and treatment characteristics. HR = hazard ratio; OR = odds ratio; CI = confidence interval; MGMT = O6 methylguanine-DNA methyltransferase; TERT = telomerase reverse transcriptase; EGFR = epidermal growth factor receptor; TP53 = tumor protein p53; PTEN = phosphatase and tensin homolog

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