ArticleTherapeutic advances in medical oncology2022
Cancer immune profiling unveils biomarkers, immunological pathways, and cell type score associated with glioblastoma patients' survival.
Article in Therapeutic advances in medical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses.BMC cancer · 2024Pooled it
- Identification of immune-related gene signature for predicting prognosis of glioblastoma patients.Translational cancer research · 2026Article
- Establishment and molecular profiling of a PDX model of a metachronous brain tumor in a patient with constitutional mismatch repair deficiency with biallelic MSH6 variant.Animal models and experimental medicine · 2025Article
- Immune profiling of pediatric germ cell tumors identifies key cell populations and novel therapeutic targets.Frontiers in immunology · 2025Article
- Article
- Predictive Model to Identify the Long Time Survivor in Patients with Glioblastoma: A Cohort Study Integrating Machine Learning Algorithms.Journal of molecular neuroscience : MN · 2024Article
- Digital expression profile of immune checkpoint genes in medulloblastomas identifies CD24 and CD276 as putative immunotherapy targets.Frontiers in immunology · 2023Article
- High frequency of WNT-activated medulloblastomas withFrontiers in oncology · 2023Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Glioblastoma (GBM), isocitrate dehydrogenase ( Objectives: We aimed to evaluate the expression profile of 730 immuno-oncology-related genes in patients with Methods: RNA was isolated from formalin-fixed, paraffin-embedded sections of 99 tumor specimens from patients treated with standard therapy. Gene expression profile was assessed using the Pan-Cancer Immune Profiling Panel (Nanostring Technologies, Inc., Seattle, WA, USA). Data analysis was performed using nSolverSoftware and validated in The Cancer Genome Atlas. In addition, we developed a prognostic signature using the cox regression algorithm (Least Absolute Shrinkage and Selection Operator). Results: We found 88 upregulated genes, high immunological functions, and a high macrophage score in Conclusion: The elevated expression of immune-oncology-related genes was associated with worse outcome in
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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 Socratic graph.