Evidence map›Paper›PMID 39265619›Full record

ArticleCancer research and treatment2025

Choosing Wisely between Radiotherapy Dose-Fractionation Schedules: The Molecular Graded Prognostic Assessment for Elderly Glioblastoma Patients.

Hye In Lee, Jina Kim, In Ah Kim, Joo Ho Lee, Jaeho Cho, Rifaquat Rahman, Geoffrey Fell, Chan Woo Wee, Hong In Yoon

Abstract readMulticenter Study
In one paragraph

Article in Cancer research and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Hye In LeeDepartment of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Jina KimDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea.
In Ah KimDepartment of Radiation Oncology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Joo Ho LeeDepartment of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Jaeho ChoDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Rifaquat RahmanDepartment of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, USA.
Geoffrey FellDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Chan Woo WeeDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Hong In YoonDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to develop a graded prognostic assessment (GPA) model integrating genomic characteristics for elderly patients with glioblastoma (eGBM), and to compare the efficacy of different radiotherapy schedules. MATERIALS AND

methodsThis multi-institutional retrospective study included patients aged ≥ 65 years who underwent surgical resection followed by radiotherapy with or without temozolomide (TMZ) for newly diagnosed eGBM. Based on the significant factors identified in the multivariate analysis for overall survival (OS), the molecular GPA for eGBM (eGBM-molGPA) was established.

resultsA total of 334 and 239 patients who underwent conventionally fractionated radiotherapy (CFRT) and hypofractionated radiotherapy (HFRT) were included, respectively, with 86% of patients receiving TMZ-based chemoradiation. With a median follow-up of 17.4 months (range, 3.3 to 149.9 months), the median OS was 18.7 months for CFRT+TMZ group, 15.1 months for HFRT+TMZ group, and 10.4 months for radiotherapy alone group (CFRT+TMZ vs. HFRT+TMZ: hazard ratio [HR], 1.52; p < 0.001 and CFRT+TMZ vs. radiotherapy alone: HR, 2.52; p < 0.001). In a combined analysis with the NOA-08 and Nordic trials, CFRT+TMZ group exhibited the highest survival rates among all treatment groups. The eGBM-molGPA, which integrated four clinical and three molecular parameters, stratified patients into low-, intermediate-, and high-risk groups. CFRT+TMZ significantly improved OS compared to HFRT+TMZ or radiotherapy alone in the low-risk (p=0.023) and intermediate-risk groups (p < 0.001). However, in the high-risk group, there was no significant difference in OS between treatment options (p=0.770).

conclusionCFRT+TMZ may be more effective than HFRT+TMZ or radiotherapy alone for selected eGBM patients. The novel eGBM-molGPA model can guide treatment selection for this patient population.

Indexed as

Brain NeoplasmsDose Fractionation, RadiationGlioblastomaAgedAged, 80 and overChemoradiotherapyFemaleHumansMalePrognosisRetrospective StudiesTemozolomideTreatment OutcomeTemozolomideAgedGlioblastomaGraded prognostic assessmentMolecular biomarkerRadiotherapyTemozolomide

Identifiers

PMID39265619
PMCPMC12016846

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Registered trials

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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.