Positive PD‑L1 expression is predictive for patients with advanced EGFR wild‑type non‑small cell lung cancer treated with gemcitabine and cisplatin
- Authors:
- Published online on: May 2, 2019 https://doi.org/10.3892/ol.2019.10302
- Pages: 161-168
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Copyright: © Qiu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Lung cancer has been the leading cause of cancer-associated mortality worldwide in males (24%) and females (23%) in 2019 (1). Non-small cell lung cancer (NSCLC) accounts for 85% of all types of lung cancer (2). Platinum-based chemotherapy is the standard treatment for patients with advanced epidermal growth factor receptor (EGFR) wild-type NSCLC (3). Gemcitabine was approved as a first-line treatment for advanced NSCLC (4–6). However, the clinical outcome for patients with advanced stage NSCLC remains poor, and novel effective treatment strategies are required (7).
Immune checkpoint inhibitors have yielded promising results in NSCLC. Programmed death ligand-1 (PD-L1) is an important target for immunotherapy. Previous studies have revealed that PD-L1 expression may be a predictor of treatment response (8,9). High expression of PD-L1 was associated with the presence of EGFR mutations (10–12). Activating mutations of EGFR also induced PD-L1 expression in NSCLC, and EGFR tyrosine kinase inhibitors downregulated PD-L1 expression in EGFR mutation-positive NSCLC (13–15). However, the predictive value of PD-L1 expression in patients with EGFR wild-type NSCLC remains unclear. Furthermore, different chemotherapy regimens may affect the clinical outcome (16,17). Therefore, the aim of the current retrospective study was to analyze PD-L1 expression in patients with advanced EGFR wild-type NSCLC treated with gemcitabine plus cisplatin and to potentially determine the cut-off value of PD-L1 expression.
Materials and methods
Patients
A total of 172 eligible patients were enrolled in the current study between August 2011 and December 2017 at The First Affiliated Hospital of Zhengzhou University (Zhengzhou, China). The inclusion criteria were as follows: i) Histologically confirmed diagnosis of NSCLC based on the WHO classification (18); ii) newly diagnosed with cancer stage IIIB or IV; iii) ≥18 and ≤80 years of age; iv) European Cooperative Oncology Group (ECOG) performance status (PS) 0–2; v) EGFR wild-type; vi) measurable disease according to revised Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 (19); vii) adequate hematological, hepatic and organ function; and viii) adequate clinicopathological information and follow-up data. The exclusion criteria were as follows: i) Uncontrolled brain metastases; ii) autoimmune disease; iii) previous malignant tumor or second primary tumor; and iv) prior treatment with chemotherapy, radiotherapy or immunotherapy. Clinicopathological characteristics were recorded for each patient, including patient demographics, histology, EGFR status, pretreatment serum C-reactive protein (CRP) level, date of diagnosis, imaging of the involved region, cancer stage, ECOG PS, smoking status, chemotherapy schedule, treatment response, PD-L1 expression, overall survival (OS) and progression-free survival (PFS) times. OS was measured from the date of the initial therapy until the last follow-up. PFS was measured from the date of the initial treatment until the date of disease progression or death from any cause. Patients were followed up at a median duration of 9 months (range, 2–25 months). The current study was approved by The Ethics Committee of The First Affiliated Hospital of Zhengzhou University, and written informed consent was obtained from all enrolled patients. All experiments were performed in accordance with approved guidelines and regulations (20,21).
PD-L1 expression
Pretreatment lung cancer tumor tissue was collected for PD-L1 analyses. PD-L1 expression was retrospectively assessed in tumor biopsies using immunohistochemical methods. Sections (4-µm-thick) from each formalin-fixed (10% formaldehyde at 20°C for 24 h) paraffin-embedded tissue were used, followed by the modified avidin-biotin complex method (Envision method) using an automated immunostainer (model no. 314683; Ventana Medical Systems, Inc., Tucson, AZ, USA) (22). A rabbit antihuman PD-L1 antibody (ready-to-use; cat. no. ZA-0629; OriGene Technologies Inc., Beijing, China) was used to detect PD-L1, and was incubated for 40 min at 37°C. The tissues were then incubated with the horseradish peroxidase-anti-rat IgG secondary antibody (ready-to-use; cat. no. 760-500; Roche, Basel, Switzerland) for 8 min at 37°C. The sections were counterstained with hematoxylin at 37°C for 4 min and then mounted. Images were taken using a light microscope and analyzed using HistoQuest software (version 6.0; TissueGnostics, Vienna, Austria) for an automated measurement. PD-L1 expression was defined by tumor cell membrane expression levels, and classified according to prespecified levels (≥1, ≥5, ≥10 and ≥50%) (23–25).
Treatment and response
Eligible patients received platinum-based doublet chemotherapy (gemcitabine 1,000 mg/m2 on days 1 and 8; cisplatin 25 mg/m2 on days 1, 2 and 3, repeated every 3 weeks; both from Hanson Pharma, Lianyungang, China). This treatment is the standard of care for managing patients with advanced NSCLC in China (7). Assessment of treatment response was based on the RECIST version 1.1 guidelines (19).
Statistical analysis
The association between PD-L1 expression and clinicopathological characteristics was analyzed using the χ2 test. Survival curves and rates were estimated using the Kaplan-Meier method and groups were compared using the log-rank test. Multivariate analysis using Cox proportional hazard regression model was performed to evaluate the prognostic and predictive role of PD-L1 expression. The hazard ratio (HR) and 95% confidence interval (CI) were estimated using a stratified Cox proportional hazards model. Statistical analyses were performed using GraphPad Prism software (version 6; GraphPad Software Inc., La Jolla CA, USA) and SPSS software (version 21.0; IBM Corp., Armonk, NY, USA). P<0.05 was considered to indicate a statistically significant difference.
Results
Patient characteristics
The clinicopathological characteristics of the enrolled patients are presented in Table I. Among 172 patients, positive PD-L1 expression was observed in 48.3% (84/172), 40.7% (70/172), 21.5% (37/172) and 8.1% (14/172) of patients when using cut-off values of 1, 5, 10 and 50%, respectively.
Table I.Association of PD-L1 expression and clinicopathological characteristics (n=number of patients). |
Association of PD-L1 expression with clinicopathological characteristics
The χ2 test revealed that elevated pretreatment serum CRP (≥10 mg/l) was significantly associated with positive PD-L1 expression for 1, 5, 10 and 50% cut-off values (P=0.001, 0.001, 0.001 and 0.008, respectively). Similarly, stage IV cancer was significantly associated with positive PD-L1 expression for 1, 5, 10 and 50% cut-off values (P=0.001, 0.001, 0.001 and 0.018, respectively; Table I). These data suggested that PD-L1 expression was associated with pretreatment serum CRP level and cancer stage.
Survival time
To illustrate the prognostic value of PD-L1, the was association between PD-L1 expression and OS and PFS times was determined. At the median follow-up duration of 9 months, the one-year OS and PFS times of all patients were 43.3 and 22.0% respectively. Positive PD-L1 expression group was significantly associated with shorter OS and PFS times compared with negative PD-L1 expression group (Fig. 1). The one-year OS time for positive PD-L1 expression group were shorter than negative PD-L1 expression group (36.4 vs. 50% at 1% cut-off; 35.4 vs. 49.0% at 5% cut-off; 33.2 vs. 46.5% at 10% cut-off; and 7.1 vs. 46.2% at 50% cut-off, respectively). The one-year PFS time for positive PD-L1 expression group were also shorter than negative PD-L1 expression group (16.4 vs. 27.6% at 1% cut-off; 16.0 vs. 25.8% at 5% cut-off; 11.5 vs. 24.6% at 10% cut-off; and 7.0 vs. 23.3% at 50% cut-off, respectively; Fig. 2). Representative immunohistochemical staining images of tumor biopsies with PD-L1 were shown in Figure 3. Univariate survival analysis revealed that cancer stage IV, positive PD-L1 (1% cut-off) expression, ECOG PS 2 and age ≥60 were significantly associated with shorter OS and PFS times (P<0.0001, 0.0481, 0.0050 and <0.0001 for OS time; P<0.0001, 0.0035, 0.0278 and 0.0010 for PFS time, respectively; Table II). These results indicated that positive PD-L1 (1% cut-off) expression predicted a shorter survival time.
Table II.Univariate and multivariate analysis of the association between clinicopathological characteristics and survival. |
Prognostic significance of PD-L1 expression cut-off values
To investigate the cut-off value of PD-L1 expression, the association between survival and PD-L1 expression at 1, 5, 10 and 50% levels was investigated. Univariate survival analysis revealed that positive PD-L1 expression for 1, 5, 10 and 50% cut-off values was significantly associated with shorter OS and PFS times (OS time: P=0.0481, 0.0212, 0.0068 and <0.0001, respectively; PFS time: P=0.0035, 0.0044, 0.0051 and <0.0001, respectively; Fig. 1 and Table III). All parameters that were statistically significant according to the univariate analysis were included in the multivariate analysis, which demonstrated that positive PD-L1 (50% cut-off) expression was significantly associated with shorter survival time (OS time, P=0.001; HR=2.768, 95% CI, 1.551–4.940; PFS, P=0.002; HR=2.537, 95% CI, 1.423–4.524; Table III). These results suggested that positive PD-L1 (50% cut-off) expression was an independent predictor of poor prognosis for patients with advanced NSCLC treated with gemcitabine plus cisplatin.
Discussion
Increased PD-L1 expression was observed in NSCLC and neuroendocrine tumors of the lung (23,26), suggesting that patients with NSCLC may benefit from PD-L1 inhibitors. The results obtained in the current study revealed that high PD-L1 expression was observed in patients with advanced NSCLC, compared with normal lung tissue.
There is no universal method for PD-L1 immunostaining and antibodies used in different studies vary (21). The definition of a positive PD-L1 test result differs depending on which biomarker assay is used. Four immunohistochemical assays are approved by the US Food and Drug Administration as diagnostic tests in advanced NSCLC including PD-L1 IHC 22C3 pharmDx (Dako Omnis), PD-L1 IHC 28-8 pharmDx, VENTANA PD-L1 (SP142) assay and VENTANA PD-L1 (SP263) assay (23). The comparative accuracy and utility between the immunohistochemical assay used in the current study and the aforementioned assays have been verified (27).
Previously published studies reported conflicting results on the association between PD-L1 expression and age, gender, histology, ECOG PS, smoking status and cancer stage (28). The present study revealed a significant association between PD-L1 expression and cancer stage and pretreatment serum CRP level. Expression of the PD-L1 gene may be controlled by inflammatory signaling (29). Expression of the PD-L1 was regulated by interferon-γ through the Janus kinase/signal transducer of activation pathway in NSCLC (30). A recently published study demonstrated that the serum CRP level was associated with PD-L1 expression in patients with NSCLC (29). The inflammatory markers, CRP and neutrophil-lymphocyte ratio, were predictive for the efficacy of nivolumab in patients with NSCLC (29). The results obtained in the current study indicated that pretreatment elevated serum CRP level was associated with positive PD-L1 expression. However, future studies are required to verify this association.
PD-L1 is a co-regulatory molecule that can be expressed on tumor cells and its expression suppress T-cell activity (31). Compared with PD-L2, PD-L1 is the dominant inhibitory ligand of PD-1 on T cells (25). Immune checkpoints inhibitors which target the PD-L1/PD-1 pathway (including pembrolizumab and nivolumab which target PD-1, and atezolizumab and duralumab which target PD-L1) are a promising treatment method for patients with advanced NSCLC (8,24,32–36). Thus, the identification of potential biomarkers may guide the choice of inhibitor used.
Currently known biomarkers include the ALK receptor tyrosine kinase fusion oncogene, ROS proto-oncogene 1, receptor tyrosine kinase gene rearrangements, sensitizing EGFR gene mutations and B-Raf proto-oncogene, serine/threonine kinase V600E point mutations (37,38). Activation of the immune checkpoint pathways is one of the main mechanisms underlying tumor development (39). PD-L1 expression on tumor cells negatively regulates the immune response and may lead to cancer progression (31). Although PD-L1 expression may not be an optimal biomarker (40,41), PD-L1 expression is currently used to assess whether patients with NSCLC are candidates for treatment with pembrolizumab (42,43). Identification of PD-L1 expression using immunohistochemical methods may aid in treatment selection (21). Previously published studies have reported conflicting results on whether positive PD-L1 expression may be a predictor of treatment response (44,45). The definition of positive PD-L1 expression is variable in different studies and it may impact the results (21). Future studies are required to define the prognostic role and cut-off value of PD-L1. A previous study reported that a PD-L1 expression level of ≥50% was a positive test result for first-line pembrolizumab therapy (8). In the present study, PD-L1 expression predicted poor clinical outcome at the prespecified PD-L1 expression levels of 1, 5, 10 and 50% and results obtained suggested that the optimal cut-off value may be 50%. The current study was limited by the small sample size and retrospective analysis. Therefore, a future prospective study with a larger sample is required to validate the results obtained.
In conclusion, the present study demonstrated that positive PD-L1 expression was associated with poor outcomes in patients with advanced NSCLC treated with gemcitabine plus cisplatin.
Acknowledgements
The authors would like to thank Miss Dandan Zhang of The First Affiliated Hospital of Zhengzhou University (Zhengzhou, China) for providing technical assistance for the present study.
Funding
This present study was supported by the National Natural Science Foundation of China (grant no. 81570203).
Availability of data and materials
The datasets used and/or analyzed during the present study are available from the corresponding author upon reasonable request.
Authors' contributions
YJQ analyzed and interpreted the data of the study, and wrote the manuscript. MZ, JJ and YRQ participated in the design of this research. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The present study was approved by the Ethics Committee of The First Affiliated Hospital of Zhengzhou University (Zhengzhou, China).
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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