| Autor: |
Han, Jianpeng, Zhou, Yan, Zhang, Chundong, Feng, Jianyong, Wang, Junhao, Guo, Kuo, Chen, Wenbin, Li, Yongzhang |
| Předmět: |
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| Zdroj: |
Journal of Cellular & Molecular Medicine; Jan2023, Vol. 27 Issue 1, p101-112, 12p |
| Abstrakt: |
Discordant abundances of different immune cell subtypes is regarded to be an essential feature of tumour tissue. Direct studies in Prostate cancer (PC) of intratumoral immune heterogeneity characterized by immune cell subtype, are still lacking. Using the single sample gene set enrichment analysis (ssGSEA) algorithm, the abundance of 28 immune cells infiltration (ICI) were determined for PC. A NMF was performed to determine tumour‐sample clustering based on the abundance of ICI and PFS information. Hub genes of clusters were identified via weighted gene co‐expression network analysis (WGCNA). The multivariate dimensionality reduction analysis of hub genes expression matrix was carried out via principal component analysis (PCA) to obtain immune score (IS). We analysed the correlation between clustering, IS and clinical phenotype. We divided the 495 patients into clusterA (n = 193) and clusterB (n = 302) on the basis of ICI and PFS via NMF. The progression‐free survival (PFS) were better for clusterA than for clusterB (p < 0.001). Each immune cell subtypes was more abundant in clusterA than in clusterB (p < 0.001). The expression levels of CTAL‐4 and PD‐L1 were lower in clusterB than in clusterA (p < 0.001 and p = 0.006). We obtained 103 hub genes via WGCNA. In the training and validation cohorts, the prognosis of high IS group was worse than that of the low IS group (p < 0.05). IS had good predictive effect on 5‐year PFS. The expression of immune checkpoint genes was higher in the low IS group than in the high IS group (p < 0.01). Patients with low IS and receiving hormone therapy had better prognosis than other groups. The combination of IS and clinical characteristics including lymph node metastasis and gleason score can better differentiate patient outcomes than using it alone. IS was a practical algorithm to predict the prognosis of patients. Advanced PC patients with low IS may be more sensitive to hormone therapy. CXCL10, CXCL5, MMP1, CXCL12, CXCL11, CXCL2, STAT1, IL‐6 and TLR2 were hub genes, which may drive the homing of immune cells in tumours and promote immune cell differentiation. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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