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Naïve and memory T cells play a pivotal role in solid tumor pathogenesis but their role in pancreatic cancer progression remains elusive. Thus, we aimed to investigate their clinical potential in advanced pancreatic cancer (APC). Flow cytometry was performed to evaluate the level of baseline peripheral naïve and memory T cells from 137 APC patients before receiving first-line chemotherapy. Interrelationships between naïve, memory T cells and clinicopathological variables were evaluated using Pearson's correlation. The prognostic impact of naïve and memory T cells were assessed by Kaplan-Meier analysis and Cox regression. The correlation between naïve/memory T cells and tumor progression was investigated by Student's t test. CD4+ naïve/memory ratio showed close correlations with hemoglobin, red blood cell (RBC), absolute neutrophil count (ANC) and platelet while CD8+ naïve/memory ratio was correlated with hemoglobin, RBC and CEA. Higher baseline lever of CD4+ CD45RO+ /CD4+ was correlated with better overall survival (OS) (P = 0.036). Patients with CD4+ naïve/memory ratio ≥0.36 had a poorer OS than those with CD4+ naïve/memory ratio <0.36 (P = 0.021). In addition, CD4+ naïve/memory ratio showed independent prognostic impact (HR 1.427, 95% CI 1.033-1.973, P = 0.031). Furthermore, poorer clinical response was correlated with higher level of CD8+ naïve/memory ratio after the third cycle of chemotherapy (P = 0.01). Besides, patients with a lower level of CD8+ naïve/memory ratio had longer progression-free survival (PFS) (P = 0.028). We propose CD4+ naïve/memory ratio as a novel prognostic biomarker for APC. In addition, CD8+ naïve/memory ratio can be a candidate marker for predicting PFS and the change of its level may reflect the progression of APC.
Pubmed ID: 30767430
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A collection of tools for flow cytometer and application setup, data acquisition, and data analysis that help streamline flow cytometry workflows. It provides features to help users integrate flow systems into new application areas, including index sorting for stem cell and single-cell applications, as well as automation protocols for high-throughput and robotic laboratories.
View all literature mentionsSoftware package used for interactive, or batched, statistical analysis in social science, health sciences and marketing. Software platform offers advanced statistical analysis, a library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and deployment into applications.Versions that were produced by SPSS Inc. before the IBM acquisition (Versions 18 and earlier) would be given origin or publisher of SPSS Inc. in Chicago.
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