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Archive > Volume 24 Issue 4 > 2017,24(4):417-422. DOI:10.3872/j.issn.1007-385X.2017.04.014 Prev Next
Clinical Research
Correlations between Tregs infiltration in non-small cell lung cancer tissues and SUVmax of primary lesion in PET/CT and its effect on prognosis
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Abstract:
Objective:To investigate the correlation between Tregs infiltration in non-small cell lung carcinoma (NSCLC) tissues and SUVmax for primary lesion in PET-CT, and its effect on prognosis of NSCLC. Methods: One hundred and twenty two samples of primary NSCLC patients diagnosed in Cancer Institute and Hospital affiliated to Tianjin Medical University during March 2008 to October 2014 were collected, as well as their imaging, clinical and pathological data and follow-up information. Immunohistochemistry was used to detect the Tregs infiltration of carcinoma tissues. Survival outcomes were analyzed using the Kaplan-Meier method. Correlations between Tregs infiltration and SUVmax of primary lesions, as well as other clinicopathological factors were analyzed using Pearson correlation analysis and Spearman rank correlation analysis. Results: There was a positive correlation between Tregs infiltration and SUVmax (r=0.291, P=0.001). Tregs and SUVmax were divided into two groups respectively at the level of cut off value. Univariate analysis showed that Tregs and SUVmax were risk factors for the prognosis of patients. Clinical data also demonstrated that there was positive correlation between Tregs and tumor size, TNM stage (P<0.05). Multivariate Cox analysis demonstrated that tumor TNM stage (HR=7.537, 95% CI:1.191-2.855, P=0.006) was independent predictors for survival. Conclusion: There was a positive correlation between Tregs infiltration and SUVmax; PET/CT SUVmax may indicate Tregs infiltration in the tumor microenvironment of NSCLC patients, and it may play important role in predicting clinical prognosis and guiding treatment for NSCLC patients.
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Project Supported:
Project supported by the National Science and Technology Support Program(No.2015BA112B12), and the National Natural Science Foundation of China（No.81272221, No.81401887）
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