Evidence map›Paper›PMID 41984136›Full record

ArticleJournal of neuro-oncology2026

Radiosensitivity index stability across glioma progression: a longitudinal bulk and single-cell analysis.

Hisashi Nakano, Takehiro Shiinoki

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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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Hisashi NakanoDepartment of Health Data Science, Niigata University of Health and Welfare, 1398 Shimamicho, Kita- ku, Niigata-shi, Niigata, Japan. hisashi-nakano@nuhw.ac.jp.
Takehiro ShiinokiDepartment of Radiation Oncology, Yamaguchi University, Minamikogushi 1-1-1 Ube, Yamaguchi, Japan.

Funding

Japan Society for the Promotion of Science JP24K18790Japan Society for the Promotion of Science JP25K10913
6 · The paper itself

Abstract

purposeThe radiosensitivity index (RSI) is a transcriptomic predictor of intrinsic radiosensitivity. The longitudinal behavior of the RSI in glioma and its variation across intratumoral cellular states have been unknown. We investigated RSI dynamics between matched primary and recurrent gliomas and examined RSI heterogeneity at single-cell resolution.

methodsThe RSI was calculated using the Eschrich 10-gene model in 214 matched primary–recurrent glioma pairs from the GLASS Consortium (bulk RNA-seq) and in 6,863 malignant cells from 28 IDH-wildtype glioblastomas profiled by Smart-seq2. Longitudinal changes were assessed by Wilcoxon’s signed-rank test. A survival analysis used Kaplan–Meier and Cox regression. Cell state-specific RSI differences were evaluated by the Kruskal–Wallis test with Bonferroni-corrected pairwise comparisons.

resultsThe bulk RSI showed no significant change between primary and recurrent tumors (ΔRSI = + 0.009 ± 0.096, p = 0.17), with a strong primary–recurrent correlation (r = 0.65, p < 0.001). We observed a marginal RSI increase in the IDH-wildtype tumors (ΔRSI = + 0.019, p = 0.042). The Kaplan–Meier analysis suggested shorter survival in RSI-increasing tumors (median 31 vs. 47 months, log-rank p = 0.040), but the RSI change was not independent in multivariable Cox regression (HR = 0.83, p = 0.82). At single-cell resolution, neural progenitor cell (NPC)-like cells exhibited the lowest RSI (Kruskal–Wallis p = 3.0 × 10⁻⁵), though effect sizes were small (rank-biserial r = 0.06–0.09).

conclusionThe bulk RSI remains stable across glioma progression, and the RSI change does not independently predict survival. The single-cell analysis revealed significant but biologically modest RSI variation across cellular states, suggesting limited resolution of the RSI signature at the single-cell level.

Indexed as

Brain NeoplasmsGliomaNeoplasm Recurrence, LocalRadiation ToleranceDisease ProgressionFemaleHumansKaplan-Meier EstimateLongitudinal StudiesMaleSingle-Cell AnalysisCellular heterogeneityGLASS consortiumGlioblastomaLongitudinal analysisRadiosensitivity indexSingle-cell RNA sequencing

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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.