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Multi-scale brain attributes contribute to the distribution of diffuse glioma subtypes.
Ren, Peng; Bao, Hongbo; Wang, Shuai; Wang, Yinyan; Bai, Yan; Lai, Jiacheng; Yi, Liye; Liu, Qing; Li, Wenting; Zhang, Xinyu; Sun, Lili; Liu, Qiuyi; Cui, Xuehua; Zhang, Xiushi; Liang, Peng; Liang, Xia.
Afiliación
  • Ren P; Laboratory for Space Environment and Physical Science, Harbin Institute of Technology, Harbin, China.
  • Bao H; School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Wang S; Institute of Science and Technology for Brain-Inspired Intelligence and Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
  • Wang Y; Department of Neurosurgery, Harbin Medical University Cancer Hospital, Harbin, China.
  • Bai Y; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Lai J; Medical Imaging Department, Harbin Medical University Cancer Hospital, Harbin, China.
  • Yi L; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Liu Q; Laboratory for Space Environment and Physical Science, Harbin Institute of Technology, Harbin, China.
  • Li W; School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Zhang X; Department of Neurosurgery, Harbin Medical University Cancer Hospital, Harbin, China.
  • Sun L; Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Liu Q; Department of Neurosurgery, Harbin Medical University Cancer Hospital, Harbin, China.
  • Cui X; Department of Neurosurgery, Harbin Medical University Cancer Hospital, Harbin, China.
  • Zhang X; Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Liang P; Laboratory for Space Environment and Physical Science, Harbin Institute of Technology, Harbin, China.
  • Liang X; School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Int J Cancer ; 2024 Jul 01.
Article en En | MEDLINE | ID: mdl-38949756
ABSTRACT
Gliomas are primary brain tumors and are among the most malignant types. Adult-type diffuse gliomas can be classified based on their histological and molecular signatures as IDH-wildtype glioblastoma, IDH-mutant astrocytoma, and IDH-mutant and 1p/19q-codeleted oligodendroglioma. Recent studies have shown that each subtype of glioma has its own specific distribution pattern. However, the mechanisms underlying the specific distributions of glioma subtypes are not entirely clear despite partial explanations such as cell origin. To investigate the impact of multi-scale brain attributes on glioma distribution, we constructed cumulative frequency maps for diffuse glioma subtypes based on T1w structural images and evaluated the spatial correlation between tumor frequency and diverse brain attributes, including postmortem gene expression, functional connectivity metrics, cerebral perfusion, glucose metabolism, and neurotransmitter signaling. Regression models were constructed to evaluate the contribution of these factors to the anatomic distribution of different glioma subtypes. Our findings revealed that the three different subtypes of gliomas had distinct distribution patterns, showing spatial preferences toward different brain environmental attributes. Glioblastomas were especially likely to occur in regions enriched with synapse-related pathways and diverse neurotransmitter receptors. Astrocytomas and oligodendrogliomas preferentially occurred in areas enriched with genes associated with neutrophil-mediated immune responses. The functional network characteristics and neurotransmitter distribution also contributed to oligodendroglioma distribution. Our results suggest that different brain transcriptomic, neurotransmitter, and connectomic attributes are the factors that determine the specific distributions of glioma subtypes. These findings highlight the importance of bridging diverse scales of biological organization when studying neurological dysfunction.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Int J Cancer Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Int J Cancer Año: 2024 Tipo del documento: Article País de afiliación: China