Journal of Brain And Spinal Cancer

Journal of Brain And Spinal Cancer

Journal of Brain And Spinal Cancer – Aim And Scope

Open Access & Peer-Reviewed

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Aims & Scope

Journal of Brain and Spinal Cancer (JBSC) publishes research on the molecular mechanisms, genetic alterations, and pathophysiological processes underlying central nervous system malignancies, with emphasis on mechanistic understanding along with the clinical management.

Tumor Pathogenesis Molecular Mechanisms Genetic Alterations Biomarker Discovery Disease Models

Core Research Domains

Molecular Pathogenesis

  • Genetic mutations and chromosomal aberrations in glioblastoma, medulloblastoma, and ependymoma
  • Epigenetic modifications driving CNS tumor initiation and progression
  • Oncogenic signaling pathways (PI3K/AKT, MAPK, Wnt, Hedgehog)
  • Tumor suppressor gene inactivation mechanisms
  • Molecular classification systems based on genomic profiles
  • Clonal evolution and intratumoral heterogeneity
Typical Fit:

"Identification of novel driver mutations in IDH-wildtype glioblastoma through whole-exome sequencing and functional validation in patient-derived xenograft models."

Cellular & Microenvironmental Mechanisms

  • Cancer stem cell biology and self-renewal mechanisms
  • Tumor-stromal interactions and extracellular matrix remodeling
  • Immune cell infiltration patterns and immunosuppressive mechanisms
  • Angiogenesis pathways and vascular niche dynamics
  • Metabolic reprogramming in CNS malignancies
  • Cell death mechanisms (apoptosis, autophagy, ferroptosis)
Typical Fit:

"Mechanistic analysis of glioma-associated macrophage polarization through single-cell RNA sequencing and functional assays demonstrating M2 phenotype promotion."

Biomarker Discovery & Validation

  • Molecular biomarkers for tumor classification and stratification
  • Circulating biomarkers (ctDNA, exosomes, metabolites) and their biological significance
  • Proteomic and metabolomic signatures in CNS tumors
  • Imaging biomarkers reflecting underlying molecular processes
  • Predictive biomarkers for therapeutic response mechanisms
  • Prognostic molecular signatures and their biological basis
Typical Fit:

"Discovery and mechanistic validation of a 12-gene signature predicting temozolomide resistance through DNA repair pathway analysis in glioblastoma cell lines."

Experimental Models & Methodologies

  • Patient-derived xenograft and organoid models for mechanistic studies
  • Genetically engineered mouse models of CNS malignancies
  • 3D culture systems and tumor-on-chip platforms
  • Advanced imaging techniques for molecular pathway visualization
  • Multi-omics integration approaches for pathway discovery
  • CRISPR/Cas9 screens for functional gene identification
Typical Fit:

"Development of a glioblastoma organoid model recapitulating tumor heterogeneity for mechanistic studies of invasion pathways and drug resistance mechanisms."

Secondary Focus Areas

Therapeutic Target Discovery

Identification and mechanistic validation of novel molecular targets, including druggable pathways, synthetic lethality interactions, and targetable dependencies in CNS tumors.

Drug Resistance Mechanisms

Molecular basis of resistance to targeted therapies, chemotherapy, and radiation, including adaptive signaling, metabolic rewiring, and phenotypic plasticity.

Metastatic Mechanisms

Molecular pathways governing leptomeningeal dissemination, spinal metastases, and mechanisms of CNS colonization by systemic cancers.

Epidemiological Mechanisms

Genetic susceptibility factors, hereditary cancer syndromes (Li-Fraumeni, neurofibromatosis), and gene-environment interactions underlying CNS tumor risk.

Radiation Biology

Molecular mechanisms of radiation response, DNA damage repair pathways, and radiation-induced microenvironmental changes in CNS tumors.

Immunological Mechanisms

Tumor immunology, immune evasion strategies, checkpoint molecule expression, and mechanisms underlying immunotherapy resistance in CNS malignancies.

Emerging Research Areas

Selective Consideration with Additional Review

  • Artificial intelligence for molecular pattern recognition and pathway prediction
  • Liquid biopsy technologies for molecular monitoring
  • Single-cell and spatial transcriptomics revealing tumor architecture
  • Extracellular vesicle-mediated intercellular communication
  • Circadian rhythm disruption in tumor biology
  • Microbiome influences on CNS tumor pathogenesis
  • Senescence mechanisms in tumor progression
  • Mechanotransduction in tumor invasion

Note: Manuscripts in these areas undergo additional editorial review to ensure strong mechanistic focus and alignment with journal scope.

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Article Types & Priorities

Priority 1: Fast-Track Review Expedited

Original Research Articles
Systematic Reviews
Methods & Protocols
Meta-Analyses

Priority 2: Standard Review Standard

Short Communications
Data Notes
Perspectives
Technical Notes

Rarely Considered Limited

Opinion Pieces
Commentaries
Clinical Case Reports

Note: These article types are only considered when they provide substantial mechanistic insights or methodological innovations.

Editorial Standards & Requirements

Reporting Guidelines

  • ARRIVE 2.0 for animal studies
  • MIQE for qPCR experiments
  • REMARK for biomarker studies
  • PRISMA for systematic reviews
  • STROBE for observational studies

Data Requirements

  • Raw data deposition in public repositories
  • Omics data in GEO, ArrayExpress, or SRA
  • Protein structures in PDB
  • Statistical analysis code availability
  • Reproducibility documentation

Ethics & Compliance

  • IRB/Ethics committee approval for human samples
  • IACUC approval for animal studies
  • Informed consent documentation
  • Biosafety and biosecurity compliance
  • Conflict of interest disclosure

Publication Policies

  • Preprints accepted (bioRxiv, medRxiv)
  • Registered reports encouraged
  • Negative results considered
  • Replication studies welcomed
  • Open peer review option available

Publication Metrics

21 Days to First Decision
59% Acceptance Rate
35 Days to Publication
Open Access Model

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