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Related Concept Videos

Cancer Stem Cells and Tumor Maintenance02:40

Cancer Stem Cells and Tumor Maintenance

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Early diagnosis and treatment can often cure cancer. However, even with treatment, residual cells called cancer stem cells (CSC) might remain, often causing tumor recurrence. These cancer stem cells possess the potential for self-renewal and multi-lineage differentiation and are often responsible for the therapeutic resistance displayed in most cancers.
Cancer stem cells are thought to originate from tissue-specific normal stem cells or progenitor cells. The normal stem cells usually reside in...
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Updated: Sep 18, 2025

Imaging Glioma Initiation In Vivo Through a Polished and Reinforced Thin-skull Cranial Window
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Brain Tumor Stem Cells: New Perspectives.

Alisha Anand1, Chitra Venugopal2, Sheila K Singh3,4

  • 1Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada.

Methods in Molecular Biology (Clifton, N.J.)
|June 24, 2025
PubMed
Summary
This summary is machine-generated.

Brain tumor stem cells (BTSCs) drive brain cancer progression and therapeutic resistance. Innovative research using single-cell sequencing, CRISPR, and AI aims to overcome these challenges for better diagnostics and treatments.

Keywords:
Artificial IntelligenceBrain Tumor Stem CellsCRISPR-Cas9 systemCell surface makersFluorescent activated cell sortingIntratumoral HeterogeneityMachine LearningSingle-cell RNA sequencingStandard of CareTumor microenvironment

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Area of Science:

  • Oncology
  • Neuroscience
  • Cancer Stem Cell Biology

Background:

  • Brain cancer presents significant challenges due to its complexity and aggressive nature, often leading to poor patient prognoses.
  • Brain tumor stem cells (BTSCs) are crucial drivers of brain tumor transformation, progression, and therapeutic resistance.
  • BTSCs possess characteristics of neural stem cells (NSCs), including self-renewal and differentiation, alongside aberrant signaling and metabolic pathways.

Purpose of the Study:

  • To review current challenges in brain tumor stem cell (BTSC) research, focusing on factors contributing to therapeutic resistance and relapse.
  • To explore innovative technologies and prospective research strategies for overcoming BTSC-mediated treatment failures.
  • To highlight the potential of advanced tools like single-cell RNA sequencing, CRISPR screening, and artificial intelligence in brain cancer research.

Main Methods:

  • Utilizing fluorescent-activated cell sorting (FAC) for BTSC isolation and enrichment based on cell surface markers.
  • Employing single-cell RNA sequencing to capture detailed genetic and transcriptomic information at the individual cell level.
  • Leveraging CRISPR technology for screening to identify potential therapeutic vulnerabilities and applying AI/machine learning for novel target discovery.

Main Results:

  • BTSCs and their niche contribute significantly to therapeutic resistance and tumor relapse in brain cancer.
  • Single-cell RNA sequencing provides unprecedented genetic and transcriptomic insights into BTSC heterogeneity.
  • CRISPR and AI/machine learning approaches show promise in identifying new therapeutic targets and improving diagnostic accuracy.

Conclusions:

  • Addressing the complexities of BTSCs and their microenvironment is critical for improving brain cancer treatment outcomes.
  • Advanced technologies like single-cell sequencing, CRISPR, and AI are essential for future research and development in brain oncology.
  • Continued innovation in understanding and targeting BTSCs holds the key to overcoming therapeutic resistance and enhancing patient survival in brain cancer.