Table 1.
Clinical characteristics of participants.
Table 2.
Pathological characteristics of cases.
Fig 1.
Kaplan-Meier survival curves for operated and inoperable patients.
Fig 2.
Immune cells and immunoinhibitory ligands expression in pancreatic adenocarcinoma (PDA).
A, Pancreatic Adenocarcinoma in the infiltrating fronts—HE (400x). B, Representative images of immunohistochemical study in PDA lesions: CD4, CD8, CD163 and FoxP3 (400x). C, Representative immunohistochemistry (IHC) of immunoinhibitory ligands in PDA (400x).
Table 3.
Univariate analysis and multivariate evaluation (Quasi-Poisson regression) of clinicopathological features by quantity of intratumor immune cells.
Table 4.
Univariate analysis and multivariate evaluation (simple linear regression) of clinicopathological features by intratumoral expression of immune checkpoints molecules (percentage).
Table 5.
Univariate analysis and multivariate evaluation (Quasi-Poisson regression) of clinicopathological features by dichotomous intratumoral expression of immune checkpoint molecules.
Fig 3.
Kaplan-Meier curves and five-year risk tables, in addition to cumulative proportion surviving percentage, regarding dichotomous evaluation of immune checkpoints (PD-L1, PD-L2, and HLA-G) in both inoperable and operated groups.
Fig 4.
Spearman’s rank correlation coefficient in operated patients.
Significant correlations can be observed in spheres that do not have an X. The larger and bluer the sphere, the greater the positive correlation between the variables. The negative correlation is represented by the red sphere. The larger the sphere and the more intense its red color, the greater the negative correlation between the variables. In operated patients, it can be observed that the most significant positive correlation occurred between the CD8 and FoxP3 variables. Therefore, when CD8 values increase, FoxP3 values also tend to increase. In this group of patients, no significant negative correlation was observed.
Fig 5.
Spearman’s rank correlation coefficient in inoperable patients.
Significant correlations can be observed in spheres that do not have an X. The larger and bluer the sphere, the greater the positive correlation between the variables. The negative correlation is represented by the red sphere. The larger the sphere and the more intense its red color, the greater the negative correlation between the variables. In inoperable patients, it can be observed that the most significant positive correlation occurred between the variables CD163 and FoxP3. Therefore, when CD163 values increase, FoxP3 values also tend to increase and vice versa. One can also notice a significant negative correlation between HLA-G and CD4, meaning that an increase in HLA-G expression tends to correlate with a decrease in the number of CD4 positive cells and vice versa.