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Chinese Journal of Cancer Biotherapy ; (6): 43-47, 2021.
Article in Chinese | WPRIM | ID: wpr-872634

ABSTRACT

@#[Abstract] Objective: To investigate the expression of human endogenous retrovirus subfamily H long terminal repeat associating protein 2 (HHLA2) in hepatocellular carcinoma (HCC) tissues and its correlation with the clinicopathological characteristics and prognosis of patients with HCC. Methods: Based on TCGA database, the correlation between HHLA2 mRNA expression and B7 family genes in human HCC tissues was analyzed. HHLA2 expression in 90 pairs of HCC tissues and their adjacent tissues was detected by tissue microarry and immunohistochemical staining. Wilcoxon rank sum test was used to compare the difference of HHLA2 expression between HCC tissues and its adjacent tissues. The chi-square test was used to analyze the relationship between HHLA2 expression in human HCC tissues and clinicopathological features of the patients. Kaplan-Meier survival analysis was performed to analyze the correlation between HHLA2 expression and patients’ overall survival (OS), and the Cox model was used to evaluate the prognostic value of different indices. Results: The expression level of HHLA2 mRNA in HCC tissues was correlated with B7 family CD274, C10orf54, PDCD1LG2, ICOSLG and CD276. The expression level of HHLA2 in HCC tissues was significantly correlated with tumor size (χ2=4.531, P<0.05). The OS of HCC patients with high HHLA2 expression was significantly shorter than that of the patients with lower HHLA2 expression (HR=1.878, 95%CI: 1.066-3.309, P<0.05). The COX model showed that tumor size (HR=2.493, 95%CI: 1.310-4.742, P<0.01) could be used as an independent risk factor for the prognostic prediction of the patients. Conclusion: HHLA2 is significantly correlated with the prognosis of HCC patients, and can be used as a potential target for HCC immunotherapy.

2.
Chinese Journal of Cancer Biotherapy ; (6): 50-57, 2019.
Article in Chinese | WPRIM | ID: wpr-792892

ABSTRACT

@#Objective: To investigate the degree and distribution of tissue-resident CD8+ T cell (CD103+CD8+T cells) infiltration in colorectal cancer (CRC) tissues, and to analyze its relationship to patients’clinicopathological features and prognosis. Methods: Tissue chips of 88 cases of colon cancer tissues (No.HColA180Su14) and 77 cases of rectal cancer tissues (No. HRec-Ade180Sur-03) were obtained from Shanghai Outdo Biotech Co.,Ltd. Immunofluorescence staining was performed to examine the infiltration pattern and degree of CD103+CD8+T cells in the collected CRC tissues and their para-cancerous tissues. Wilcoxon rank test was used to compare CD103+CD8+T cell infiltration degree in CRC tissues and the para-cancerous tissues. Chi-square test was used to analyze the relationship between CD103+CD8+T cell infiltration in CRC and patients’clinicopathological features. Kaplan-Meier survival analysis was conducted to explore the correlation between CD103+CD8+T cell infiltration and patients’prognosis. Cox model was applied to analyze the correlation between different clinical parameters and patients’prognosis. Results: CD103+CD8+T cell infiltration presented no signifi ·cant differences between CRC and para-cancer tissues (P>0.05). Patients with distant metastasis had significantly lower CD103+CD8+T cell infiltration rate than patients without distant metastasis (P<0.01). There was no significant correlation between the infiltration of CD103+CD8+T cells and other clinicopathological features (P>0.05). Kaplan-Meier survival analysis showed that the overall survival (OS) of patients with high CD103+CD8+T cell infiltration was significantly longer than that of the patients with low infiltration (54.42% vs 25.00%, P<0.05). Multivariate Cox model analysis indicated that pathological grade (P<0.01) and high CD103+CD8+T cell infiltration (P<0.05) were independent prognostic factors for CRC. Conclusion: :CD103+CD8+T cell infiltration in CRC is associated with patients’prognosis, suggesting that CD103+CD8+T cell plays an important role in the initiation and development of CRC.

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