Published online Mar 15, 2022.
https://doi.org/10.14791/btrt.2022.10.F-2662
Cellular expression of programmed death ligand 1 (PD-L1) in the peripheral blood d associated with glioblastoma multiforme (GBM) but does not predict its survival: prospective study at the National Cancer Center Dharmais Hospital in Jakarta, Indonesia
Abstract
Background
Programmed death ligand 1 (PD-L1) is associated with GBM. The aim of this study to explore roles of PD-L1 in GBM and its survival for brain tumor patients.
Methods
During May 2017 to May 2020, we followed 24 patients with GBM and 12 patients with non-GBM at Dharmais Hospital, Jakarta. Peripheral blood samples of these 35 brain tumor patients were subjected to PD-L1 expression determined by real time polymerase chain reaction and then classified as low and high levels. Patients were grouped according to their sex and age. Multiple logistic regression discriminates between GBM and non-GBM according to their sex, age, and PD-L1 expression. We used Kaplan and Meier to show survival curve. Cox regression was used to estimate the hazard rate as measure of predictor of survival.
Results
Unadjusted odds ratios (OR) of male and age greater than 35 years old for having GBM and their 95% confidence interval (CI) are 4.2 [0.94–19.26] and 6.3 [0.94–41.97] respectively. These numbers are barely significant with p-values 0.068 and 0.058. Unadjusted OR for high level of PD-L1 expression for GBM is 2.17 [0.033–4.66] or statistically is not-significant. After all variables are adjusted in the model, ORs (95% CI) for sex, age, and of PD-L1 expression are 5.4 [0.87–33.99], 5.66 [0.73–44.00], and 4.97 [0.70–35.20]. Kaplan-Meier suggests that GBM has lower survival compared with non-GBM. Similarly, male and age 35 years or more have lower survival. However, Cox regression with all variables in the model suggests that PD-L1 expression is not predictor for survival of GBM and non-GBM.
Conclusion
Male, age above 35 years older, and high level of PD-L1 expression are associated with having GBM but are not predictor of survival of GBM. Higher sample size will increase their statistically significant findings.