Abstract
Saffron crocus is a herbal medicine of traditional Tibetan medicine (TTM). Saffron extract has been indicated to inhibit tumor cell growth and promote tumor cell apoptosis in a variety of cancers, including glioma, but the specific mechanism is not clear. To study the possible mechanism of saffron action on glioma, network pharmacology and bioinformatics analysis methods were used in this study. We used the online database to obtain the active ingredients of saffron and their targets. Glioma-related targets were also acquired from online database. We intersected drug targets with glioma-related targets and conducted PPI network analysis to obtain network core genes. Then, we obtained RNA-seq data from The Cancer Genome Atlas (TCGA) database for glioma patients. Through different expression analysis and lasso regression, further screening of core genes in the network was conducted, and a prognostic model was established. The sample was divided into two groups with high and low risk using this model. The RNA-seq data from the Chinese Glioma Genome Atlas (CGGA) database were used to further validate our prediction model. Then, we explored the difference in pathways enrichment between high-risk patients and low-risk patients and calculated the difference in immune microenvironment between the two groups. Finally, we used scRNA-seq data in the CGGA database to analyze the cell types in which the model gene is mainly enriched and predicted the cell types which saffron effected on.
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Data availability
All data involved in this study were downloaded from public databases such as TCGA and CGGA. The patients involved in the database have obtained ethical approval. Users can download relevant data for free for research and publish relevant articles. Our study is based on open source data, so there are no ethical issues and other conflict of interest.
Abbreviations
- GBM:
-
Glioblastoma multiforme
- TCGA:
-
The Cancer Genome Atlas
- CGGA:
-
Chinese Glioma Genome Atlas
- PCA:
-
Principal component analysis
- TSNE:
-
T-distributed stochastic neighbor embedding
- UMAP:
-
Uniform manifold approximation and approximation projection
- ROC:
-
Receiver operating characteristic curve
- AUC:
-
Area under the curve
- GSEA:
-
Gene set enrichment analysis
- TIME:
-
Tumor immune microenvironment
- PC:
-
Principal components
- BE:
-
Binding energy
- TTM:
-
Traditional Tibetan medicine
- TCMSP:
-
Traditional Chinese Medicine Systems Pharmacology Database
- OMIM:
-
Online Mendelian Inheritance in Man
- GO:
-
Gene ontology
- KEGG:
-
Kyoto Encyclopedia of Genes and Genomes
- GBM:
-
Glioblastoma
- OB:
-
Oral bioavailability
- DL:
-
Drug-likeness
- PPI Network:
-
Protein–protein interaction network
- PDB:
-
Protein data bank
- BP:
-
Biological process
- CC:
-
Cellular component
- MF:
-
Molecular function
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Funding
This work was supported by the Department of Science and Technology of Shandong Province (2020CXGC010903 and ZR2019ZD33), the Clinical Research Center of Shandong University (2020SDUCRCB002), and Research Project of Jinan Microecological Biomedicine Shandong Laboratory (JNL-2022003A).
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Yang, X., Man, D., Zhao, P. et al. Identification of the therapeutic mechanism of the saffron crocus on glioma through network pharmacology and bioinformatics analysis. Med Oncol 40, 296 (2023). https://doi.org/10.1007/s12032-023-02142-2
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DOI: https://doi.org/10.1007/s12032-023-02142-2