ArticleActa neuropathologica communications2015
PI3 kinase mutations and mutational load as poor prognostic markers in diffuse glioma patients.
Article in Acta neuropathologica communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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.
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.
Who cites it
35 citing papers in PubMed, 66 citations in OpenAlex.
- The Imbalance Between Tumor Immunosurveillance and Tumor Immune Escape in Glioblastoma.Immunology and cell biology · 2026Review
- Diffuse Midline Gliomas: Clinical, Diagnostic, and Therapeutic Perspectives.Biomedicines · 2026Review
- Single-cell profiling of peripheral and local immune compartments reveal unique genotype-independent prognostic immune signatures across isocitrate dehydrogenase-stratified glioma.Neuro-oncology · 2026Article
- Molecular Biomarkers of Glioma.Biomedicines · 2025Review
- [Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- DNA methylation heterogeneity attributable to a complex tumor immune microenvironment prompts prognostic risk in glioma.Epigenetics · 2024Article
- The biological significance of tumor grade, age, enhancement, and extent of resection in IDH-mutant gliomas: How should they inform treatment decisions in the era of IDH inhibitors?Neuro-oncology · 2024Review
- In Silico: Predicting Intrinsic Features of HLA Class-I Restricted Neoantigens.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Mitotic count is prognostic in IDH mutant astrocytoma without homozygous deletion of CDKN2A/B. Results of consensus panel review of EORTC trial 26053 (CATNON) and EORTC trial 22033-26033.Neuro-oncology · 2023Article
- Advanced immunotherapies for glioblastoma: tumor neoantigen vaccines in combination with immunomodulators.Acta neuropathologica communications · 2023Review
- Clinical significance and molecular annotation of cellular morphometric subtypes in lower-grade gliomas discovered by machine learning.Neuro-oncology · 2023Article
- Identifying driver modules based on multi-omics biological networks in prostate cancer.IET systems biology · 2022Article
- T lymphocytes as dynamic regulators of glioma pathobiology.Neuro-oncology · 2022Review
- Dynamic susceptibility contrast-MRI parameters, ADC values, and the T2-FLAIR mismatch sign are useful to differentiate between H3-mutant and H3-wild-type high-grade midline glioma.European radiology · 2022Article
- GNIFdb: a neoantigen intrinsic feature database for glioma.Database : the journal of biological databases and curation · 2022Article
- T-cell Receptor Therapy Targeting Mutant Capicua Transcriptional Repressor in Experimental Gliomas.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Article
- Tumor mutational burden and purity adjustment before and after treatment with temozolomide in 27 paired samples of glioblastoma: a prospective study.Molecular oncology · 2022Article
- An immune and epithelial-mesenchymal transition-related risk model and immunotherapy strategy for grade II and III gliomas.Frontiers in genetics · 2022Article
- Mathematical Modeling and Mutational Analysis Reveal Optimal Therapy to Prevent Malignant Transformation in Grade II IDH-Mutant Gliomas.Cancer research · 2021Article
- neoDL: a novel neoantigen intrinsic feature-based deep learning model identifies IDH wild-type glioblastomas with the longest survival.BMC bioinformatics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRecent advances in molecular diagnostics allow diffuse gliomas to be classified based on their genetic changes into distinct prognostic subtypes. However, a systematic analysis of all molecular markers has thus far not been performed; most classification schemes use a predefined and select set of genes/molecular markers. Here, we have analysed the TCGA dataset (combined glioblastoma (GBM) and lower grade glioma (LGG) datasets) to identify all prognostic genetic markers in diffuse gliomas in order to generate a comprehensive classification scheme.
resultsOf the molecular markers investigated (all genes mutated at a population frequency >1.7 % and frequent chromosomal imbalances) in the entire glioma dataset, 57 were significantly associated with overall survival. Of these, IDH1 or IDH2 mutations are associated with lowest hazard ratio, which confirms IDH as the most important prognostic marker in diffuse gliomas. Subsequent subgroup analysis largely confirms many of the currently used molecular classification schemes for diffuse gliomas (ATRX or TP53 mutations, 1p19q codeletion). Our analysis also identified PI3-kinase mutations as markers of poor prognosis in IDH-mutated + ATRX/TP53 mutated diffuse gliomas, median survival 3.7 v. 6.3 years (P = 0.02, Hazard rate (HR) 2.93, 95 % confidence interval (CI) 1.16 - 7.38). PI3-kinase mutations were also prognostic in two independent datasets. In our analysis, no additional molecular markers were identified that further refine the molecular classification of diffuse gliomas. Interestingly, these molecular classifiers do not fully explain the variability in survival observed for diffuse glioma patients. We demonstrate that tumor grade remains an important prognostic factor for overall survival in diffuse gliomas, even within molecular glioma subtypes. Tumor grade was correlated with the mutational load (the number of non-silent mutations) of the tumor: grade II diffuse gliomas harbour fewer genetic changes than grade III or IV, even within defined molecular subtypes (e.g. ATRX mutated diffuse gliomas).
conclusionWe have identified PI3K mutations as novel prognostic markers in gliomas. We also demonstrate that the mutational load is associated with tumor grade. The increase in mutational load may partially explain the increased aggressiveness of higher grade diffuse gliomas when a subset of the affected genes actively contributes to gliomagenesis and/or progression.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.