-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
-
Cosmetic Ingredient
- Water Treatment Chemical
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
Written by - Storm Hongbo, edited by Liang Xia-Wang Sizhen, edited by Fang Yiyi—Wang Ruhua
Glioma is the most common primary malignancy of the central nervous system in adults
.
According to the pathological grade, glioblastoma can be classified into glioblastoma multiforme, GBM) and lower-grade glioma，LGG）[1]
。 In the latest version of the 2021 WHO Central Nervous System Tumor Classification Guidelines, adult diffuse gliomas are divided into glioblastoma (IDH-wildtype) and astrocytoma (Glioblastoma, IDH-wildtype) according to molecular characteristics Astrocytoma, IDH-mutant) and oligodendroglioma (IDH-mutant, and 1p/19q-codeleted) three subtypes [2].
After projecting the lesion location of each glioma patient into the standard space, a group-level glioma spatial probability map (frequency map) can be obtained Probabilistic atlas), used to describe the probability
of glioma occurring anywhere in the brain.
Previous studies have found that the probability of glioma in the whole brain is not random, the frontotemporal lobe is higher than the occipital lobe, and clinical factors such as age and gender, as well as tumor characteristics such as different subtypes of glioma, will affect the spatial probability distribution of glioma [3-5].
However, the mechanism affecting glioma spatial location distribution preference is unclear
.
On October 28, 2022, Liang Xia of Harbin Institute of Technology and Liang Peng of Harbin Medical University Affiliated Cancer Hospital cooperated in a team at International The Journal of Cancer published a title entitled "New Insights into Glioma Frequency Maps": From Genetic and Transcriptomic Correlate to Survival Prediction", explaining the reasons for the differences in the
spatial probability distribution of different types of gliomas.
Torrent Hongbo, Ren Peng and Yi Liye are the co-first authors
of the paper.
In this study, the authors found that the interaction between glioma cells and neurons, especially the synaptic connections between the two, is one of the important factors affecting the spatial distribution of
the final glioma.
In addition, in glioblastoma, the prognosis
of the patient can be judged based on the characteristics of the tumor location.
(Further reading: For the relevant research progress of Liang Xia's research group, see the "Logical Neuroscience" report (click to read): HBM |.
) Highly connected and highly variable: resting core brain networks that support propofol-induced loss of consciousness).
The authors first constructed GBM and LGG by using the patient image data of the Department of Neurosurgery of Harbin Medical University Cancer Hospital and the public resources of the imaging database The Cancer Imaging Archive and spatial probability distribution plots of gliomas of different molecular subtypes (Figure 1).
The results showed that GBM and LGG had a significant difference in distribution, and GBM was better than LGG in the subependymal area , while LGG has a clear preference
for prefrontal lobes.
Figure 1: Spatial probability distribution of gliomas of different subtypes
(Source: Bao HB, et al.
, Int J Cancer, 2022).
Subsequently, the authors used the whole brain gene expression data in the Allen Brain database for enrichment analysis and found that in the GBM common brain region, genes and signaling pathways related to synapses were significantly enriched, and LGG It is more related to the inflammatory immune response (Figures 2A-E).
To further confirm this result, the authors used multiple transmitter distributions in the Ju Space toolkit to analyze the correlation with tumor distribution, and the results showed that GBM and multiple transmitters of the four transmitter systems of γ-aminobutyric acid, dopamine, serotonin, and norepinephrine.
Transmitter receptor distribution was clearly positively correlated, whereas in astrocytoma and oligodendroglioma, this association was reduced or absent (Figure 2F-J).
Fig.
2: Correlation analysis of spatial distribution of different subtypes of glioma with whole brain gene expression and neurotransmitter distribution
(Source: Bao HB, et al.
, Int J Cancer, 2022).
Next, according to the characteristics of tumor location, the authors selected tumor samples typical in good and bad locations, and performed gene expression analysis
.
The results showed that the expression of synapses and ion channel related genes was significantly upregulated in GBM located in the predominant brain region (Figure 3A-D), which further confirmed the previous conclusion
.
Figure 3: Analysis of differentially expressed genes in tumors in pre- and non-prevalent locations
(Source: Bao HB, et al.
, Int J Cancer, 2022).
In the final part of the article, the authors found that tumor location is also closely
related to patient outcomes.
The authors extracted some quantitative features that can be used to describe the location of GBM, and used machine learning methods to build predictive models
.
Based only on location characteristics and basic clinical information (gender, age, KPS score), the accuracy of predicting the one-year survival status of GBM patients can reach 71%.
Figure 4: A GBM survival prediction model was constructed based on tumor location
(Source: Bao HB, et al.
, Int J Cancer, 2022).
Figure 5 Summary of work: In GBM-prone areas, neuro-tumor synaptic connections are enhanced
(Source: Bao HB, et al.
, Int J Cancer, 2022).
gliomas.
At the same time, the prognosis prediction model of glioblastoma (GBM) constructed by using location characteristics has certain clinical application value
.
However, for the low-grade glioma (LGG) fraction, prognostic analysis
was not performed due to insufficient survival data.
At the same time, further in vivo and in vitro experiments are needed to confirm the interaction
between neurons and glioma cells.
Therefore, studying the information transmission of neurotransmitters and ion channels between tumor cells and neurons in the glioma microenvironment is of great significance
for understanding the occurrence and development of glioma.
Original link: https://onlinelibrary.
wiley.
com/doi/10.
1002/ijc.
34336
Rush Hongbo, a doctoral candidate of Harbin Medical University, Ren Peng, a doctoral student of Harbin Institute of Technology, and Yi Liye, attending physician of the Second Affiliated Hospital of Harbin Medical University, are the co-first authors of the paper.
Liang Xia, doctoral supervisor, and Liang Peng, director of neurosurgery and doctoral supervisor of Harbin Medical University Cancer Hospital, are co-corresponding authors
.
Torrent Hongbo (1st from left), Ren Peng (2nd from left), Yi Liye (middle), Liang Xia (2nd from right), Liang Peng (1st from right).
(Photo courtesy of: Liang Xia/Liang Peng cooperation team)
Welcome to scan the code to join Logical Neuroscience Literature Study 2
Group Note Format: Name--Field of Research-Degree/Title/Title/PositionSelected Previous Articles[1] The GLIA-Baek Hyun-Sook/Frank Kirchhoff team found that a group of OPCs did not express Olig2, and acute brain injury and learning activities promoted the formation of this group of cells
[2] Protein Sci—Wang Shuyu's team reported that Bayesian binding to graph neural networks predicted the effect of mutations on protein stability
[3] Dev Cell—Tian Ye's team found that the GPCR signaling pathway coordinates the body's mitochondrial stress response in a pair of sensory neurons
【4】 J Neurol—melanin-sensitive magnetic resonance imaging studies reveal blue spot degeneration and cerebellar volume changes in patients with essential tremor
[5] eLife—Wang Liping group found that causal inference is neural computing in the frontal-parietal loop of macaques
【6】 Nat Commun-Yingjie Zhu's team revealed a new mechanism by which the brain regulates the nucleus accumbens parallel circuits of reward and aversion
[7] The BMC Med-Dai Fangyin team has made important progress in constructing a Parkinson's syndrome model and evaluating efficacy by using silkworms
[8] Sci Adv-Tai Yanlong's research group proposed an artificial remote sensing tactile device with three-dimensional depth perception
【9】 Cell Res—Zheng Hui/Xu Xingshun team reveals the mechanism of depression-induced antiviral immune dysfunction
【10】 The Mol Neurobiol—Xu Kaibiao/Gao Yibo team discovered the underlying pathological mechanism of new-onset refractory status epilepticus caused by different causes
Recommended high-quality scientific research training courses [1] The 10th NIR Training Camp (online: 2022.11.
30~12.
20) [2] The 9th EEG Data Analysis Flight (Training Camp: 2022.
11.
23-12.
24) Welcome to join "Logical Neuroscience" [1] " Logical Neuroscience " Recruitment Editor/Operation Position ( Online Office [2] Talent Recruitment - "Logical Neuroscience" Recruitment Article Interpretation/Writing Position ( Online Part-time, Online Office) References (swipe up and down to read).
[1] Louis, D.
N.
, et al.
, The 2016 World Health Organization
Classification of Tumors of the Central Nervous System: a summary.
Acta
Neuropathol, 2016.
131(6): p.
803-20.
[2] Louis, D.
N.
, et al.
, The 2021 WHO Classification of Tumors of the
Central Nervous System: a summary.
Neuro Oncol, 2021.
23(8): p.
1231-1251.
[3] Wang, Y.
, et al.
, Age-associated brain regions in gliomas: a
volumetric analysis.
J Neurooncol, 2015.
123(2): p.
299-306.
[4] Roux, A.
, et al.
, MRI Atlas of IDH Wild-Type Supratentorial
Glioblastoma: Probabilistic Maps of Phenotype, Management, and Outcomes.
Radiology, 2019.
293(3): p.
633-643.
[5] Bilello, M.
, et al.
, Population-based MRI atlases of spatial
distribution are specific to patient and tumor characteristics in glioblastoma.
Neuroimage Clin, 2016.
12: p.
34-40.
End of article
