Objective: To investigate the prognostic value of the expressions of programmed cell death ligand 1 (PD-L1) and immune checkpoint markers in residual tumors after neoadjuvant chemotherapy (NAC) for advanced high-grade serous ovarian cancer (HGSOC). Methods: We collected pre- and post-NAC tumor samples from patients with advanced HGSOC between 2006 and 2017. Post-NAC tumor tissue samples were available for immunostaining from 131 patients. The expressions of PD-L1 and immune checkpoint markers were assessed by immunohistochemical staining and the status of tumor-infiltrating lymphocytes (TILs) was also evaluated. We examined whether there are significant associations between protein expression status and patient outcomes and whether significant changes in protein expression levels occurred in response to NAC. Results: PD-L1 expression in the tumor cells was evaluated in 113 patients, 12 (10.6%) of whom had high PD-L1 expression (≥25%) in post-NAC tissues. However, these high levels were not associated with progression-free survival (PFS; P = 0.348) or overall survival (OS; P = 0.699). Similarly, high stromal TILs [≥50%; n = 16 (15.0%)] among the 107 patients evaluated did not show any significant impact on PFS (P = 0.250) or OS (P = 0.800). Moreover, an abundance of TILs (intraepithelial, CD8+, and Foxp3+) and the expression of immune checkpoint markers (PD-1, ICOS, and LAG-3) in residual tumors did not confer any significant survival benefit. The impact of NAC on PD-L1 expression and stromal TILs varied considerably among individual patients. Conclusion: Although the expression of PD-L1 and immune checkpoint markers in residual tumors after NAC had no prognostic impact on survival in patients with HGSOC, post-NAC evaluation of these proteins in chemoresistant tumors may help select patients for immunotherapy trials.
Bibliographical noteFunding Information:
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education ( 2016R1D1A1B03931916 and 2016R1D1A1B03935584 ) and by the Bio & Medical Technology Development Program of the National Research Foundation of Korea funded by the Ministry of Science, ICT & Future Planning ( 2017M3A9E8029714 ).
© 2018 Elsevier Inc.
All Science Journal Classification (ASJC) codes
- Obstetrics and Gynaecology