ReviewCancers2021
A Systems Approach to Brain Tumor Treatment.
Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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
25 citing papers in PubMed, 45 citations in OpenAlex.
- CRISPR-Based Gene Therapy for Brain Disease.Molecular neurobiology · 2026Review
- Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.Molecular brain · 2026Review
- Enhancing brain tumor segmentation using attention based convolutional UNet on MRI images.Scientific reports · 2025Article
- The SRG rat as a novel host for an orthotopic patient-derived xenograft model of breast cancer brain metastasis.Scientific reports · 2025Article
- Illuminating the hidden cost: A systematic review of cognitive late effects regarding cancer-related fatigue in treated paediatric brain tumors.Technical innovations & patient support in radiation oncology · 2025Review
- Nutritional Assessment and Management of Patients with Brain Neoplasms Undergoing Neurosurgery: A Systematic Review.Cancers · 2025Review
- Exploration of the Prognostic Role of Apoptosis-Related Genes in Glioblastoma.Stem cells international · 2025Article
- Article
- Review
- Breaking Barriers: A Future Perspective on Glioblastoma Therapy with mRNA-Based Immunotherapies and Oncolytic Viruses.Vaccines · 2024Article
- Advances in Glioblastoma Therapy: An Update on Current Approaches.Brain sciences · 2023Review
- Systems Medicine for Precise Targeting of Glioblastoma.Molecular biotechnology · 2023Review
- Liposomes for the Treatment of Brain Cancer-A Review.Pharmaceuticals (Basel, Switzerland) · 2023Review
- ETISTP: An Enhanced Model for Brain Tumor Identification and Survival Time Prediction.Diagnostics (Basel, Switzerland) · 2023Article
- Applications and current challenges of chimeric antigen receptor T cells in treating high-grade gliomas in adult and pediatric populations.Immunotherapy · 2023Review
- Fibrinogen-like protein 2: Its biological function across cell types and the potential to serve as an immunotherapy target for brain tumors.Cytokine & growth factor reviews · 2023Review
- Mesenchymal stem cell-derived exosomes as a new therapeutic strategy in the brain tumors.Stem cell research & therapy · 2022Review
- Purple sweet potato delphinidin-3-rutin represses glioma proliferation by inducing miR-20b-5p/Atg7-dependent cytostatic autophagy.Molecular therapy oncolytics · 2022Article
- Particle Swarm Optimization and Two-Way Fixed-Effects Analysis of Variance for Efficient Brain Tumor Segmentation.Cancers · 2022Article
- Spatial organization of heterogeneous immunotherapy target antigen expression in high-grade glioma.Neoplasia (New York, N.Y.) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 6 institutions in 3 countries.
Funding
Abstract
Brain tumors are among the most lethal tumors. Glioblastoma, the most frequent primary brain tumor in adults, has a median survival time of approximately 15 months after diagnosis or a five-year survival rate of 10%; the recurrence rate is nearly 90%. Unfortunately, this prognosis has not improved for several decades. The lack of progress in the treatment of brain tumors has been attributed to their high rate of primary therapy resistance. Challenges such as pronounced inter-patient variability, intratumoral heterogeneity, and drug delivery across the blood-brain barrier hinder progress. A comprehensive, multiscale understanding of the disease, from the molecular to the whole tumor level, is needed to address the intratumor heterogeneity resulting from the coexistence of a diversity of neoplastic and non-neoplastic cell types in the tumor tissue. By contrast, inter-patient variability must be addressed by subtyping brain tumors to stratify patients and identify the best-matched drug(s) and therapies for a particular patient or cohort of patients. Accomplishing these diverse tasks will require a new framework, one involving a systems perspective in assessing the immense complexity of brain tumors. This would in turn entail a shift in how clinical medicine interfaces with the rapidly advancing high-throughput (HTP) technologies that have enabled the omics-scale profiling of molecular features of brain tumors from the single-cell to the tissue level. However, several gaps must be closed before such a framework can fulfill the promise of precision and personalized medicine for brain tumors. Ultimately, the goal is to integrate seamlessly multiscale systems analyses of patient tumors and clinical medicine. Accomplishing this goal would facilitate the rational design of therapeutic strategies matched to the characteristics of patients and their tumors. Here, we discuss some of the technologies, methodologies, and computational tools that will facilitate the realization of this vision to practice.
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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 OpenQuestion graph.