Evidence map›Paper›PMID 42813039›Full record

Observational studyFrontiers in immunology2026

Integration of MRI radiomics with immune profiling to predict response to CDK6 inhibitors in high-grade glioma.

Jianfang Wang, Peng Li, Jinhu Li, Xiaolan She, Xiaodong Liu, Wang Miao, Xiaofeng Liu, Xufeng Liu

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jianfang WangDepartment of Neurosurgery, The Fifth People's Hospital of Datong, Datong, Shanxi, China.
Peng LiDepartment of Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Jinhu LiDepartment of Neurosurgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Xiaolan SheDepartment of Neurology, The Fifth People's Hospital of Datong, Datong, Shanxi, China.
Xiaodong LiuDepartment of Neurosurgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Wang MiaoDepartment of Neurosurgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Xiaofeng LiuDepartment of Neurosurgery, The Fifth People's Hospital of Datong, Datong, Shanxi, China.
Xufeng LiuDepartment of Neurosurgery, The Fifth People's Hospital of Datong, Datong, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Predictive biomarkers are needed to identify patients with high-grade glioma who benefit from cyclin-dependent kinase 6 (CDK6) inhibition. We hypothesized that an integrated Radiomics-Immune Score (R/I-Score), combining MRI-derived tumor heterogeneity with peripheral immune profiling, would predict progression-free survival (PFS) benefit from CDK6 inhibitor-containing therapy (CDK6i). Methods: We conducted a two-center, retrospective cohort study utilizing longitudinal data from departmental neuro-oncology registries. The final study population comprised 116 adult patients with measurable disease who had undergone baseline contrast-enhanced MRI within 21 days prior to treatment initiation. To ensure methodological rigor and internal consistency, we adopted a two-stage study design. In the first stage (Biological Modeling), the total cohort ( Results: In the overall matched cohort ( Conclusions: The multi-modal R/I-Score serves as a robust, non-invasive predictive biomarker for CDK6i therapy in GBM. By selecting patients based on specific radiomic-immune phenotypes, this tool facilitates precision oncology, maximizing therapeutic efficacy while avoiding futile treatment in non-responders.

Indexed as

Brain NeoplasmsCyclin-Dependent Kinase 6GliomaMagnetic Resonance ImagingProtein Kinase InhibitorsAdultAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedNeoplasm GradingProgression-Free SurvivalRadiomicsRetrospective StudiesBiomarkers, TumorCDK6 protein, humanCyclin-Dependent Kinase 6Protein Kinase InhibitorsCDK6 inhibitorhigh-grade gliomaimmuno-profilingprecision oncologypredictive biomarkerprogression-free survivalradiomics

Identifiers

PMID42813039
PMCPMC13621855

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.