Identification of novel genes in testicular cancer microenvironment based on ESTIMATE algorithm‐derived immune scores

Identification of novel genes in testicular cancer microenvironment based on ESTIMATE algorithm‐derived immune scores

Testicular cancer is the most common solid malignancy among young men. We downloaded data of testicular cancer patients from The Cancer Genome Atlas database to find novel genes in the testicular cancer microenviroment based on ESTIMATE algorithm‐derived immune scores. A total of 156 cases of testic...

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Veröffentlicht in:Journal of cellular physiology 2021-01, Vol.236 (1), p.706-713
Hauptverfasser: Ke, Zhi‐Bin, Wu, Yu‐Peng, Huang, Peng, Hou, Jian, Chen, Ye‐Hui, Dong, Ru‐Nan, Lin, Fei, Wei, Yong, Xue, Xue‐Yi, Ng, Chi‐Fai, Xu, Ning
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Cancer
Cell surface
Encyclopedias
ESTIMATE
Gene expression
Genes
Genomes
Immune response
immune score
Immune system
Malignancy
novel genes
Receptors
Signal transduction
Signaling
TCGA
Testes
Testicular cancer
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Zusammenfassung:Testicular cancer is the most common solid malignancy among young men. We downloaded data of testicular cancer patients from The Cancer Genome Atlas database to find novel genes in the testicular cancer microenviroment based on ESTIMATE algorithm‐derived immune scores. A total of 156 cases of testicular cancer were included in this study and 165 cases of normal testicular tissues were used. We divided the testicular cancer patients into high‐ and low‐score groups based on their immune scores. We identified 1,226 differentially expressed genes (fold change > 2, false discovery rate 
ISSN:0021-9541
1097-4652
DOI:10.1002/jcp.29898