ArticleBMC cancer2019
Intertumoral heterogeneity in patient-specific drug sensitivities in treatment-naïve glioblastoma.
Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05043701 (Individualized Systems Medicine Strategy for Targeting Cancer Stem Cells in Patients With Recurrent Glioblastoma), which is not on this map. Cited by 51 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.
Individualized Systems Medicine Strategy for Targeting Cancer Stem Cells in Patients With Recurrent Glioblastoma (ISM-GBM)
Who cites it
51 citing papers in PubMed, 72 citations in OpenAlex.
- Patient-derived tissue cultures complement neurospheres for preclinical evaluation of AAV-mediated gene delivery in glioblastoma.Journal of neuro-oncology · 2026Article
- Generation of Allogeneic CAR-T Circumvents Functional Deficits in Patient-Derived Autologous Product for Glioblastoma.International journal of cancer · 2026Article
- Decoding glioblastoma evolution and heterogeneity through mechanistic modeling: implications for clinical translation.Journal of experimental & clinical cancer research : CR · 2026Review
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- Endogenous immune recruitment in glioblastoma CAR T therapy: cytokine, myeloid, and chemokine circuitry.Journal of neuro-oncology · 2026Review
- Overcoming Chemoresistance in Glioblastoma: Mechanisms, Therapeutic Strategies, and Functional Precision Medicine.International journal of molecular sciences · 2026Review
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- Transferrin-Functionalized Conjugated Polymer Nanoparticles for Enhanced Photodynamic Therapy of Glioblastoma.International journal of nanomedicine · 2026Article
- Drug resistant glioblastoma stem cells exhibit enriched stemness signatures and share extracellular matrix overexpression.BMC cancer · 2025Article
- Hippo pathway suppression reprograms TNFα-primed glioblastoma extracellular vesicles transcripts cargo to drive mesenchymal stem/stromal cells vasculogenic mimicry.Cell communication and signaling : CCS · 2025Article
- Polymeric Nanoparticle-Mediated Photodynamic Therapy: A Synergistic Approach for Glioblastoma Treatment.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms.Frontiers in oncology · 2025Review
- Immunotherapy with autologous dendritic cells in the complex treatment of malignant gliomas - results.Journal of neuro-oncology · 2024Article
- Molecular diversity in isocitrate dehydrogenase-wild-type glioblastoma.Brain communications · 2024Review
- Leveraging multi-omics data to infer regulators of mRNA 3' end processing in glioblastoma.Frontiers in molecular biosciences · 2024Article
- Immune Escape in Glioblastoma: Mechanisms of Action and Implications for Immune Checkpoint Inhibitors and CAR T-Cell Therapy.Biology · 2023Review
- Functional and Molecular Heterogeneity in Glioma Stem Cells Derived from Multiregional Sampling.Cancers · 2023Article
- Article
- Globally invariant behavior of oncogenes and random genes at population but not at single cell level.NPJ systems biology and applications · 2023Article
- Single-cell molecular profiling using ex vivo functional readouts fuels precision oncology in glioblastoma.Cellular and molecular life sciences : CMLS · 2023Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundA major barrier to effective treatment of glioblastoma (GBM) is the large intertumoral heterogeneity at the genetic and cellular level. In early phase clinical trials, patient heterogeneity in response to therapy is commonly observed; however, how tumor heterogeneity is reflected in individual drug sensitivities in the treatment-naïve glioblastoma stem cells (GSC) is unclear.
methodsWe cultured 12 patient-derived primary GBMs as tumorspheres and validated tumor stem cell properties by functional assays. Using automated high-throughput screening (HTS), we evaluated sensitivity to 461 anticancer drugs in a collection covering most FDA-approved anticancer drugs and investigational compounds with a broad range of molecular targets. Statistical analyses were performed using one-way ANOVA and Spearman correlation.
resultsAlthough tumor stem cell properties were confirmed in GSC cultures, their in vitro and in vivo morphology and behavior displayed considerable tumor-to-tumor variability. Drug screening revealed significant differences in the sensitivity to anticancer drugs (p < 0.0001). The patient-specific vulnerabilities to anticancer drugs displayed a heterogeneous pattern. They represented a variety of mechanistic drug classes, including apoptotic modulators, conventional chemotherapies, and inhibitors of histone deacetylases, heat shock proteins, proteasomes and different kinases. However, the individual GSC cultures displayed high biological consistency in drug sensitivity patterns within a class of drugs. An independent laboratory confirmed individual drug responses.
conclusionsThis study demonstrates that patient-derived and treatment-naïve GSC cultures maintain patient-specific traits and display intertumoral heterogeneity in drug sensitivity to anticancer drugs. The heterogeneity in patient-specific drug responses highlights the difficulty in applying targeted treatment strategies at the population level to GBM patients. However, HTS can be applied to uncover patient-specific drug sensitivities for functional precision medicine.
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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.