Literature DB >> 25895031

The association between PD-L1 and EGFR status and the prognostic value of PD-L1 in advanced non-small cell lung cancer patients treated with EGFR-TKIs.

Yanna Tang1,2,3, Wenfeng Fang1,2,3, Yaxiong Zhang1,2,3, Shaodong Hong1,2,3, Shiyang Kang1,2,3, Yue Yan1,2,3, Nan Chen1,2,3, Jianhua Zhan1,2,3, Xiaobo He1,2,3, Tao Qin1,2,3, Ge Li4, Wenyi Tang5, Peijian Peng5, Li Zhang1,2,3.   

Abstract

BACKGROUNDS: Recent clinical trials have shown that immune-checkpoint blockade yields remarkable response in a subset of non-small cell lung cancer (NSCLC) patients. However, few studies directly focus on the association between epidermal growth factor receptor (EGFR) mutational status and programmed cell death-ligand 1 (PD-L1) expression. We examined whether PD-L1 is related to clinicopathologic factors and prognosis in patients with advanced NSCLC treated with EGFR-tyrosine kinase inhibitors (EGFR-TKIs).
METHODS: One-hundred and seventy patients with advanced NSCLC were explored. Paraffin-embedded tumour sections were stained with PD-L1 antibody. EGFR mutation was examined by fluorescent quantitative polymerase chain reaction (PCR). The correlations between PD-L1 expression and EGFR status and survival parameters were analyzed.
RESULTS: The overall frequency of PD-L1 over-expression was 65.9% (112/170). In lung adenocarcinoma, PD-L1 tended to be associated with mutant EGFR (PD-L1 overexpression in mutant and wild-type EGFR, 64/89 (71.9%) vs. 32/56 (57.1%), respectively; p=0.067). Subgroup analyses showed that high PD-L1 expression was associated with significantly shorter overall survival (OS) in EGFR wild-type patients (p=0.029) but not in EGFR mutant patients (p=0.932) treated with EGFR-TKIs. Even more, for EGFR mutant patients, higher expression of PD-L1 might only signal better outcome with TKIs.
CONCLUSIONS: High PD-L1 expression was likely to be associated with the presence of EGFR mutation in advanced lung adenocarcinoma. For EGFR wild-type patients, the PD-L1 over expression can be considered as a poor prognostic indicator of OS.

Entities:  

Keywords:  EGFR status; NSCLC; PD-L1; TKI; prognosis

Mesh:

Substances:

Year:  2015        PMID: 25895031      PMCID: PMC4546461          DOI: 10.18632/oncotarget.3694

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Lung cancer, especially non-small cell lung cancer (NSCLC), is currently the leading cause of cancer-related death worldwide [1]. Recent advancements in targeted therapy have led to a major paradigm shift in the treatment of advanced NSCLC [2]. Molecularly targeted drugs such as erlotinib and gefitinib have thus greatly improved the clinical outcome of advanced NSCLC patients harboring sensitive epidermal growth factor receptor (EGFR) gene mutations [3]. Two major types of EGFR kinase mutations include exon-19 deletions and L858R mutation in exon 21 [4, 5]. Programmed death 1 (PD-1) is a co-inhibitory receptor expressed on the membrane of activated T and B cells [6], which plays a crucial role in tumor immune escape [7, 8]. Programmed cell death-ligand 1 (PD-L1) is the major ligand for PD-1 and is expressed in a variety of cancers [7, 9]. PD-L1 has been shown to be involved in the negative regulation of immune response through PD-1 receptor and has been thought to be an important strategy for cancer cells to evade host immune surveillance. Cancer cells expressing PD-L1 have been shown to increase apoptosis of antigen-specific human T-cell clones and to inhibit CD4 and CD8 T-cell activation in vitro [10-12]. Currently, some studies demonstrated that PD-L1 was expressed in 19.63%-65.38% of NSCLC [2, 13-16]. Several studies suggested that PD-L1 expression portended inconsistent survival outcomes [17]. For example, a study showed that tumor with a high level of PD-L1 expression was associated with significantly shorter overall survival (OS) in NSCLC patients [2], while another report showed positive PD-L1 was significantly associated with better survival outcome [15]. Now, the molecular regulatory mechanism of PD-L1 isn't comprehensive enough, though two studies found that mutant EGFR could induce PD-L1 expression in vitro and vivo, and EGFR tyrosine kinase inhibitors (EGFR-TKIs) could down-regulate PD-L1 expression [2, 16]. It is therefore of significance to study the association between EGFR driver mutation and PD-L1. Even more, the incidence of EGFR mutations is higher in East Asian patients than in Caucasian patients (30% versus 8%) [4], and there are no studies examining the relationship between PD-L1 expression and efficacy in patients treated with EGFR-TKIs in China. Therefore, we tried to investigate the impact of PD-L1 expression on EGFR-TKIs' efficacy and prognosis in Chinese advanced NSCLC patients, emphasizing on the EGFR mutational status.

RESULTS

Patient characteristics

A total of 170 eligible patients with advanced NSCLC were included in the present study (Figure 1). The mean age at diagnosis was 57.09 years (range, 32–80 years) (Table 1). Seventy-seven (45.3%) of the patients were female and ninety-three (54.7%) were male. Fifty-seven (33.5%) patients were smokers. Nine (5.3%) patients and 161 (94.7%) patients were diagnosed at stage IIIB and stage IV, respectively. In the current research, 99 patients harbored EGFR mutation and the remaining 71 patients were EGFR wild type. With regard to EGFR mutation status, 40 patients harbored a deletion in exon 19 and 47 patients had an L858R missense mutation in exon 21. 12 were uncommon mutation.
Figure 1

Flowing chart of the enrollment

Abbreviations: EGFR, epidermal growth factor receptor; EGFR-TKIs, EGFR-tyrosine kinase inhibitors; PD-L1, programmed cell death-ligand 1.

Table 1

Clinicopathological characteristics of patients with NSCLC (n = 170) and their relationship with PD-L1 expression

ParameterPD-L1 positivePD-L1 negative
totalPRSDPDtotalPRSDPDP-value
Age
 ≤50y286175173950.546
 >50y841951144112227
Gender
 female56133852181120.087
 male561230143772010
Smoking
 no772150636141570.382
 yes3541813221165
Pathology
 ADC96245814491425100.830
 non-ADC1611059162
Stage
 III B715120200.680
 IV10524631856152912
EGFR status
 wild type425211629316100.330
 exon 19 del26619114761
 exon 21 L858R351123112471
 unknown classical93513120
EGFR-TKI
 1st line61163782281220.041
 ≥2nd line51931113671910
Pathology=ADC
EGFR wild type32415132431380.067
EGFR mutation64204312511122

Notes: H-score ≥ 5 was used as cut-off value to distinguish positive and negative expression of PD-L1.

Abbreviations: PD-L1, programmed cell death-ligand 1; ADC, adenocarcinoma; non-ADC, non-adenocarcinoma; EGFR, epidermal growth factor receptor; EGFR-TKIs, EGFR-tyrosine kinase inhibitors.

Flowing chart of the enrollment

Abbreviations: EGFR, epidermal growth factor receptor; EGFR-TKIs, EGFR-tyrosine kinase inhibitors; PD-L1, programmed cell death-ligand 1. Notes: H-score ≥ 5 was used as cut-off value to distinguish positive and negative expression of PD-L1. Abbreviations: PD-L1, programmed cell death-ligand 1; ADC, adenocarcinoma; non-ADC, non-adenocarcinoma; EGFR, epidermal growth factor receptor; EGFR-TKIs, EGFR-tyrosine kinase inhibitors.

Correlations between PD-L1 expression and baseline characteristics

Immunohistochemical staining for PD-L1 was found at the membrane or in the cytoplasm (or both) of tumor cells (Figure 2A). As shown in Table 1, PD-L1 is over expressed in 65.9% (112/170) of advanced NSCLC patients. The relationship between PD-L1 expression and age, gender, histopathological type, tumor stage and EGFR mutational status was not significant, except for the line of EGFR TKIs (P = 0.041). However, in subgroup of lung adenocarcinoma, there was a borderline difference between PD-L1 expression level and EGFR mutational status (32/56 (57.1%) for wild type and 64/89 (71.9%) for mutant type, respectively, p=0.067).
Figure 2

(A) Positive programmed cell death-ligand 1 (PD-L1) immunohistochemical staining with a membranous pattern. (B) Negative PD-L1 immunohistochemical staining. Original magnification, 20 ×.

(A) Positive programmed cell death-ligand 1 (PD-L1) immunohistochemical staining with a membranous pattern. (B) Negative PD-L1 immunohistochemical staining. Original magnification, 20 ×.

Relationships between PD-L1 expression and the EGFR-TKIs' efficacy

The association between the efficacy of EGFR-TKIs with PD-L1 expression as well as other clinicpathologic factors in advanced NSCLC patients was summarized in Table 2. There was no significant relationship between objective response rate (ORR) and PD-L1 expression, as well as age, gender, histopathological type, stage and TKI line. However, patients with mutant EGFR had better ORR than those with wild-type EGFR (odds ratio (OR), 0.266; 95% confidence interval (95%CI), 0.114 to 0.621; p =0.002) and non-smokers also had higher ORR than smokers did (OR, 4.667; 95% CI, 1.716 to 12.693; p = 0.003). These results were in accordance with the results of multivariate analysis. Besides, we examined the association between a variety of factors and disease control rate (DCR). We found that there was no significant difference between DCR and PD-L1 status (OR, 0.783; 95% CI, 0.350 to 1.751; p =0.551). Whereas, DCR was significantly higher in women than that in men (OR, 3.478; 95% CI, 1.407 to 8.600; P=0.007), in never-smokers than that in smokers (OR, 3.55; 95% CI, 1.589 to 7.930; P=0.002), and in those with EGFR mutation than that in those EGFR with wild type (OR, 0.092; 95% CI, 0.033 to 0.256; P<0.001) (Table 2). And the multivariate analysis revealed that EGFR mutation positivity was an independent factor (OR, 0.113; 95% CI, 0.038 to 0.342; P=0.007). We further divided patients into two subgroups: (I) EGFR wild type (n=71) and (II) EGFR mutant (n=99). No significant differences in two subgroups were found between PD-L1 expression and ORR (OR, 0.854; 95% CI, 0.187 to 3.891; P=0.838 and OR, 1.765; 95% CI, 0.715 to 4.353; P=0.218 for group I and group II, respectively), as well as PD-L1 expression and DCR (OR, 1.169; 95% CI, 0.436 to 3.137; P=0.756 and OR, 0.604; 95% CI, 0.096 to 3.822; P=0.593 for group I and group II, respectively).
Table 2

The association between PD-L1 expression and EGFR-TKIS' efficacy in univariate and multivariate logistic regression analysis#

ParameterORRDCR
Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
PRSD+PDOR95%CIP-valueOR95%CIP-valuePDPR+SDOR95%CIP-valueOR95%CIP-value
Age
 ≤509360.7580.329-1.7480.5160.6630.264-1.6660.38210350.7070.304-1.6450.4210.4950.181-1.3580.172
 >5013194121104
Gender
 female21561.4610.717-2.9740.2960.5410.220-1.3310.1817703.4781.407-8.6000.0071.8990.528-6.8370.326
 male1197412469
Smoking
 no35784.6671.716-12.6930.0035.7761.763-18.8630.004131003.551.589-7.9300.0021.9420.612-6.1540.260
 yes155211839
Pathology
 ADC381074.0840.919-18.1500.0643.8340.793-18.5380.095241211.9610.738-5.2070.1771.3480.439-4.1420.602
 non-ADC12231718
Stage
 IIIB180.3910.047-3.2250.3830.2060.023-1.8770.161181.8320.221-15.2080.5750.5760.046-7.1750.668
 IV139122130131
EGFR
 wild type8630.2660.114-0.6210.0020.3510.137-0.9040.03026420.0920.033-0.256<0.0010.1130.038-0.342<0.001
 mutation132671597
EGFR-TKI
 1st line24591.8050.878-3.7110.1081.8630.798-4.3490.15010732.3231.020-5.2910.0451.3940.525-3.7020.506
 ≥2nd line1167112166
PD-L1
 negative15431.2140.581-2.5370.6061.6740.711-3.9390.23812460.7830.350-1.7510.5511.1090.445-2.7640.824
 positive1258711993
EGFR wild-type subgroup
 PD-L1 negative3260.8540.187-3.8910.83810191.1690.436-3.1370.756
 PD-L1 positive153711626
EGFR mutant subgroup
 PD-L1 negative12171.7650.715-4.3530.2182270.6040.096-3.8220.593
 PD-L1 positive120501367

A total of 170 non-small cell lung cancer patients were included.

Abbreviations: ORR, objective response rate; DCR, disease control rate; PR, partial response; SD, stable disease; PD, progressive disease ; OR, odd ratio; 95%CI, 95% confidence intervals; ADC, adenocarcinoma; non-ADC, non-adenocarcinoma; EGFR, epidermal growth factor receptor; EGFR-TKI, EGFR-tyrosine kinase inhibitor; PD-L1, programmed cell death-ligand 1.

A total of 170 non-small cell lung cancer patients were included. Abbreviations: ORR, objective response rate; DCR, disease control rate; PR, partial response; SD, stable disease; PD, progressive disease ; OR, odd ratio; 95%CI, 95% confidence intervals; ADC, adenocarcinoma; non-ADC, non-adenocarcinoma; EGFR, epidermal growth factor receptor; EGFR-TKI, EGFR-tyrosine kinase inhibitor; PD-L1, programmed cell death-ligand 1.

Survival analyses is in NSCLC patients

The median overall survival of the whole patients was 39.9 months. Kaplan–Meier analysis revealed that overall patients with positive PD-L1 and negative PD-L1 expression had no significant difference in OS and progression-free survival (PFS) (Figure 3A and 3D). To investigate the PD-L1's clinical significance, we further divided the patients into two groups: EGFR mutation and EGFR wild type. In EGFR mutation group, PFS and OS of patients with positive PD-L1 tended to be longer than patients with negative PD-L1, although statistical significance was not achieved (Figure 3B and 3E). In EGFR wild type group, negative PD-L1 patients have longer OS than positive-PD-L1 patients (P=0.029) (Figure 3C), while no significant difference in PFS was observed (Figure 3F). Exploratory analysis was done to validate the prognostic role of PD-L1 in subgroups defined by age, sex, smoking, pathology, stage of disease, EGFR mutation, and EGFR-TKI's lines (Figure 4). We found that patients with positive PD-L1 expression had signal better prognosis in EGFR mutation subgroup, contrary to EGFR wild-type group. To determine the prognostic value of PD-L1 expression, we carried out univariate and multivariate analyses using the Cox regression model. For PFS and OS, EGFR mutation remained the independent factor for better prognosis (hazard ratio (HR), 0.419; 95% CI, 0.262-0.672; P <0.001 for PFS and HR, 0.499; 95% CI, 0.264-0.942; P=0.032 for OS, respectively) (Table 3). In subgroup multivariate analysis, we found that the high level PD-L1 can be considered as a poor prognostic indicator of OS for EGFR wild-type patients (HR, 3.738; 95% CI, 1.341-10.419; P=0.012) (Supplementary table 1).
Figure 3

Kaplan-Meier curves of overall survival (OS) and progression-free survival (PFS) according to programmed cell death-ligand 1 (PD-L1) expression status in non-small cell lung cancer (NSCLC) patients

The P value for the difference between the two curves was determined by the log-rank test. Notes: (A) OS for overall population. (B) OS for patients with EGFR mutation. (C) OS for patients with EGFR wild type. (D) PFS for overall population. (E) PFS for patients with EGFR mutation. (F) PFS for patients with EGFR wild type.

Figure 4

Forest plot of overall survival (OS) and progression-free survival (PFS) according to programmed cell death-ligand 1 (PD-L1) expression status in subgroup analysis

Abbreviations: HR, hazard ratio, HR <1 implies a lower risk of progression or death for patients; 95% CI, 95% confidence intervals.

Table 3

Univariate and multivariate analyses of OS and PFS in NSCLC patients

ParameterOSPFS
Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
NHR95%CIP-valueHR95%CIP-valueNHR95%CIP-valueHR95%CIP-value
Age
 ≤50y145145
 >50y1252.5521.082-6.0190.0322.6021.078-6.2790.0331250.770.483-1.2290.2740.690.428-1.1120.128
Gender
 female177177
 male931.7370.963-3.1310.0661.3460.649-2.7950.425931.7791.147-2.7600.0101.2450.704-2.2000.451
Smoking
 no11131113
 yes571.7180.921-3.2070.0891.2180.552-2.6840.626571.8321.179-2.8460.0071.3640.761-2.4450.297
Pathology
 ADC11451145
 non-ADC251.3490.604-3.0170.4651.5480.680-3.5200.298251.590.894-2.8260.1141.3960.776-2.5080.265
Stage
 IIIB1919
 IV1611.1990.370-3.8900.7621.0300.291-3.6500.9631611.6270.594-4.4550.3440.8220.284-2.3820.719
EGFR
 wild type171171
 mutation990.4850.271-0.8680.0150.4990.264-0.9420.032990.3650.237-0.562<0.0010.4190.262-0.672<0.001
EGFR-TKI
 1st line183183
 ≥2nd line871.3380.751-2.3840.3231.5620.839-2.9060.159871.9411.257-2.9960.0031.7561.099-2.8060.019
PD-L1
 negative158158
 positive1121.4720.776-2.7920.2361.9010.953-3.7900.0681121.0030.641-1.5690.9901.3150.831-2.0800.242

Abbreviations: OS, overall survival; PFS, progression-free survival; HR, hazard ratio; 95%CI, 95% confidence intervals; ADC, adenocarcinoma; non-ADC, non-adenocarcinoma; EGFR, epidermal growth factor receptor; EGFR-TKI, EGFR-tyrosine kinase inhibitor; PD-L1, programmed cell death-ligand 1.

Kaplan-Meier curves of overall survival (OS) and progression-free survival (PFS) according to programmed cell death-ligand 1 (PD-L1) expression status in non-small cell lung cancer (NSCLC) patients

The P value for the difference between the two curves was determined by the log-rank test. Notes: (A) OS for overall population. (B) OS for patients with EGFR mutation. (C) OS for patients with EGFR wild type. (D) PFS for overall population. (E) PFS for patients with EGFR mutation. (F) PFS for patients with EGFR wild type.

Forest plot of overall survival (OS) and progression-free survival (PFS) according to programmed cell death-ligand 1 (PD-L1) expression status in subgroup analysis

Abbreviations: HR, hazard ratio, HR <1 implies a lower risk of progression or death for patients; 95% CI, 95% confidence intervals. Abbreviations: OS, overall survival; PFS, progression-free survival; HR, hazard ratio; 95%CI, 95% confidence intervals; ADC, adenocarcinoma; non-ADC, non-adenocarcinoma; EGFR, epidermal growth factor receptor; EGFR-TKI, EGFR-tyrosine kinase inhibitor; PD-L1, programmed cell death-ligand 1.

DISCUSSION

NSCLC is partially characterized by driver mutation-defined molecular subsets, each with distinct clinicopathologic features and potentials for targeted therapies. In the present study, we found that PD-L1 was over-expressed in 65.9% of advanced NSCLC samples and positive PD-L1 tended to be associated with EGFR mutation. We also revealed that there was no significant correlation between expression of PD-L1 and curative effect of EGFR TKIs (ORR and DCR). In EGFR mutation group, PFS and OS of patients positive for PD-L1 tended to be signal better than that of patients who were negative, although statistical significance was not achieved. For patients with wild type EGFR, PD-L1-negative NSCLC patients had longer overall survival than PD-L1-positive ones. In previous studies, researchers have demonstrated that activation of the EGFR pathway induced PD-L1 expression [2, 16, 18], and found PD-L1 was significantly higher in patients with the following characteristics: women, never smokers and with adenocarcinoma [2, 16]. All these characteristics are hallmarks of EGFR mutations. In present study, we also found a borderline association between high PD-L1 expression and EGFR mutation in lung adenocarcinoma, while no significant relationship between ages, gender, smoking history and PD-L1 expression was found in NSCLC patients. The difference between the present and previous studies may be due to several reasons. First, the sample size varied among different studies and all data were retrospectively collected, resulting in potential bias. Second, the heterogeneity of baseline characteristics among these studies had also affected their outcomes, such as pathological stage and geographical distribution. Third, the threshold of positive PD-L1 expression was also different from each other in these studies. Fourth, the specificity and reproducibility of the commercially available antibodies and variations in Immunohistochemical technique weren't thoroughly assessed [15]. Thus, for future studies, more efforts to standardize a quantitative assay for PD-L1 expression are warranted. In EGFR wild-type lung cancer, immune evasion induced by PD-L1 played an important role. PD-1/PD-L1 pathway has been recognized as a key mechanism of immune evasion. Cancer cells can evade host immune systems by expressing certain ligands to down-regulate cytotoxic T lymphocytes through inhibitory pathways, which are usually initiated by ligand-receptor interactions [19]. PD-1 is one immune checkpoint expressed on the surface of T-cells upon activation [20]. PD-L1 is the major ligand for PD-1 and is expressed in various type of cancers [9]. PD-1/PD-L1 interaction is regarded as an inhibitory checkpoint for T-cell activation at its initial stage. In the present report, our data revealed that high PD-L1 expression was correlated with poor prognosis in EGFR wild-type patients but not in EGFR mutant population. This finding indicated that EGFR wild-type NSCLC failed to be controlled by the immune system which is inhibited by PD-L1 mediated antitumor activity. Then cancer cells can evade host immune responses by expressing PD-L1 to down-regulate T-cell activation in tumorous microenvironment [9], allowing cancer cells to survive and progress. Therefore, PD-L1 status was a significant prognostic factor for patients with EGFR wild type. This implicated that for this subset of population (EGFR wild-type and PD-L1 over-expression), PD-L1 blocker may be an alternative therapeutic strategy. For future clinical applications, more evidences to verify the feasibility are warranted. According to previous studies, we could explain why patients with positive for PD-L1 expression tended to have better OS than PD-L1 negative ones in EGFR mutant NSCLC patients. The most possible reason was the cross interaction between EGFR pathway and PD-L1. A study by Azuma K et al. [2] found that inhibition of EGFR signaling with erlotinib led to down-regulation of the expression of PD-L1 in EGFR mutant NSCLC cells but not in those with wild-type EGFR, indicating that the expression of PD-L1 might be dependent on EGFR signaling conferred by activating EGFR mutations. In another research, Akbay EA et al. [16] also found that PD-L1 expression was reduced by EGFR inhibitors in NSCLC cell lines with activated EGFR. Therefore, for EGFR mutant NSCLC patients, EGFR-TKIs could perform a dual therapeutic response. The down-regulation of PD-L1 expression and the consequent restoration of an antitumor immune response might contribute to the durable therapeutic response. EGFR activation up regulated PD-L1 through MAPK signaling pathway. As previously reported, EGFR remarkably increased the activity of ERK1/2 and AKT which are involved in the proliferation, anti-apoptosis, and invasion of tumor cells [21, 22]. Chen N et al. [23] further demonstrated that the up-regulation of PD-L1 mediated by EGFR activation was associated with the activation of ERK1/2/c-Jun. By inhibiting p-ERK1/2, PD-L1 decreased following p-ERK1/2/p-Jun down-regulation in a clear dose-dependent manner [23]. This detailed mechanism confirmed that EGFR mutant NSCLC patients may benefit not only from direct tumor killing effect of EGFR-TKIs but also indirectly from immune enhancement after EGFR-TKIs treatment. As we known, targeted therapy usually have rapid and impressive response rates but modest progression-free survival while immunotherapy can achieve durable tumor control but associated with lower response rates [24]. To address this, investigators have proposed combining these strategies. There is a scientific rationale supporting the combination of targeted therapy and immunotherapy [25]. For patients with melanoma, the concept of potential synergy with BRAF-targeted therapy and immunotherapy is being empirically investigated in clinical trials [26-28]; however, much remains to be learned. Response data from these initial trials are not mature, and additional trials will be needed to determine the appropriate sequence, schedule, and duration of therapy if there is evidence of synergy. Yet, there were no data about the combinatorial strategies of EGFR-TKIs with anti-PD-1/PD-L1. While there were no direct verified evidences, this combining therapy may be an alternative strategy in EGFR mutant NSCLC. In the future, more well-designed in vitro and vivo studies to explore molecular mechanisms of combining EGFR-TKIs and anti-PD-1/PD-L1 antibodies are urgently required. Randomized clinical trials to instruct how best to combine therapeutic agents are also needed. Currently, though gefitinib and erlotinib are regarded as the first line treatment of classical EGFR mutant NSCLC patients, a majority of them eventually develop secondary resistance to gefitinib and erlotinib. Previous treatment options for EGFR-TKIs resistance include CO-1686 [29], AZD9291 [30] and HM61713 [31] for EGFR T790M and EGFR-TKIs plus c-met inhibitors for c-met amplification [32]. However, the role of immunotherapy in EGFR-TKIs-resistant patients has not been revealed. Chen N et al. [23] demonstrated that the protein level of PD-L1 in EGFR-mutant NSCLC cell lines (PC-9, HCC827 and H1975) was significantly higher than that in EGFR-wild type cell lines (A539, H1993). Moreover, the expression of PD-L1 was the highest in resistant cells (H1975 cells, with EGFR-T790M mutation). Anti- PD-1/PD-L1 axis could significantly decrease the viability of gefitinib resistant H1975 cells. This implied that blockade of PD-1/PD-L1 might be a promising optional treatment for NSCLC patients with EGFR mutation, especially for EGFR-TKIs resistant NSCLC patients. Future clinical studies are needed to test the feasibility. Notably, this is the first study to assess the relationship between PD-L1 expression and prognosis as well as efficacy in Chinese advanced NSCLC patients with treatment of EGFR-TKIs. We prove that high PD-L1 expression is likely to be associated with the presence of EGFR mutation in advanced lung adenocarcinoma. Moreover, PD-L1 over-expression can be considered as a poor prognostic indicator of OS in EGFR wild-type patients treated with EGFR-TKIs.

PATIENTS AND METHODS

Patients

A total of 3543 consecutive NSCLC patients who have taken oral EGFR-TKIs at Sun Yat-sen University Cancer Center (Guangzhou, China) from January 2008 to March 2014 were screened in the study. Patients were recruited if they met the following conditions: 1, treated with EGFR-TKIs; 2, stage 3b/4 NSCLC or recurrent disease after surgery or chemotherapy; 3, with known EGFR mutational status; 4, having detailed medical records and had enough tumor tissue samples for immunohistochemical staining of PD-L1. Finally, a total of 170 patients were eligible. Figure 1 summarized the process of patients' selection. Baseline clinical and pathological features were collected, as well as tissue specimens from surgery or biopsy. The clinicopathological features of the patients included age, gender, smoking status, pathological type, Union for International Cancer Control (UICC) stage (the seventh edition), EGFR mutation status and EGFR-TKI treatment history. Fifty years old was chosen as the cutoff for dividing the high or low age group (50y was low and 50y was high, respectively). Smoking history was noted as yes or no (no-smoking refers to patients who had never smoked in their lifetime). Pathological subtype was divided into adenocarcinoma or non-adenocarcinoma. All patients were restaged according to the seventh edition of UICC Staging System for NSCLC. EGFR exon 19 deletions or exon 21 base substitutions were considered as classical EGFR mutations by fluorescent quantitative polymerase chain reaction (PCR). The study was approved by the Institutional Review Board of Sun Yat-Sen University Cancer Center (Guangzhou, China). All the patients had provided written informed consent before samples were collected.

Immunohistochemistry analyses

Immunohistochemical staining was performed using rabbit monoclonal anti-human antibody (E1L3N™, Cell Signaling Technology, Danvers, MA, 1:200) for testing the expression of PD-L1 in human NSCLC specimens. Five-μm-thick Sections were cut from the formalin-fixed, paraffin-embedded (FFPE) tumor block and then routinely deparaffined and rehydrated. For antigen retrieval, slides were heated in a microwave oven for 30 minutes in citrate buffer solution (pH=7.4) and cooled slowly at room temperature for 20 minutes. After blocking the activity of endogenous peroxidase with 3% hydrogen peroxide for 8 minutes, the sections were treated with primary antibodies and incubated for overnight (more than 12 hours). Subsequently, the slides were rinsed in PBS three times and incubated in HRR-linked secondary antibodies. After incubation, slides were washed again with PBS and then visualized using diaminobenzidine. Finally, Mayer's hematoxylin was used to counterstain the sections, which were then dehydrated and mounted. Two pathologists who were blinded to the clinical or pathological information of these patients independently assess the expression of PD-L1. Semiquantitative H score (maximum value of 300 corresponding to 100% of tumor cells positive for PD-L1 with an overall staining intensity score of 3) was defined as multiplying the percentage of stained cells by an intensity score (0, absent; 1, weak; 2, moderate; and 3, strong). A 5% proportion of membrane-positive tumor cells which were defined as H-score ≥ 5 have been used as cutoff for PD-L1 positivity [33, 34], as this cut-point is reported to be associated with clinical response to anti-PD-1 therapy [34].

Statistical analysis

All the statistical analysis was performed using SPSS 20.0 for Windows (IBM, Armonk, NY). The cut-off value of age were obtained by X-tile software (Version 3.6.1, Yale University, New Haven, CT), taking clinical expertise into consideration. Pearson's chi-squared test or continuity correction test was used to assess correlations between PD-L1 expression and clinicopathologic variables. Univariate and multivariate logistic regression analysis were used to test the association between PD-L1 expression and EGFR-TKIs' efficacy (ORR and DCR). OS was defined as the time from diagnosis to the end of the follow-up (August 2014). And PFS was the time from beginning to taking TKI to recurrence or last follow-up. OS and PFS analyses were estimated with Kaplan-Meier method and multivariable analyses were performed to assess survival difference. The results of ORR and DCR were reported with OR and its 95% CI, while prognostic results were reported with HR and its 95% CI. OR > 1 indicated that EGFR-TKI was more effective in PD-L1 positive patients. HR < 1 implied a lower risk of progression or death for patients with positive expression of PD-L1. A two sided p-value of <0.05 was considered statistically significant.
  34 in total

Review 1.  Clinical Cancer Advances 2009: major research advances in cancer treatment, prevention, and screening--a report from the American Society of Clinical Oncology.

Authors:  Nicholas J Petrelli; Eric P Winer; Julie Brahmer; Sarita Dubey; Sonali Smith; Charles Thomas; Linda T Vahdat; Jennifer Obel; Nicholas Vogelzang; Maurie Markman; John W Sweetenham; David Pfister; Mark G Kris; Lynn M Schuchter; Raymond Sawaya; Derek Raghavan; Patricia A Ganz; Barnett Kramer
Journal:  J Clin Oncol       Date:  2009-11-09       Impact factor: 44.544

2.  Oral epidermal growth factor receptor tyrosine kinase inhibitors for the treatment of non-small cell lung cancer: comparative pharmacokinetics and drug-drug interactions.

Authors:  Solange Peters; Stefan Zimmermann; Alex A Adjei
Journal:  Cancer Treat Rev       Date:  2014-07-01       Impact factor: 12.111

3.  Hepatotoxicity with combination of vemurafenib and ipilimumab.

Authors:  Antoni Ribas; F Stephen Hodi; Margaret Callahan; Cyril Konto; Jedd Wolchok
Journal:  N Engl J Med       Date:  2013-04-04       Impact factor: 91.245

4.  Activation of the PD-1 pathway contributes to immune escape in EGFR-driven lung tumors.

Authors:  Esra A Akbay; Shohei Koyama; Julian Carretero; Abigail Altabef; Jeremy H Tchaicha; Camilla L Christensen; Oliver R Mikse; Andrew D Cherniack; Ellen M Beauchamp; Trevor J Pugh; Matthew D Wilkerson; Peter E Fecci; Mohit Butaney; Jacob B Reibel; Margaret Soucheray; Travis J Cohoon; Pasi A Janne; Matthew Meyerson; D Neil Hayes; Geoffrey I Shapiro; Takeshi Shimamura; Lynette M Sholl; Scott J Rodig; Gordon J Freeman; Peter S Hammerman; Glenn Dranoff; Kwok-Kin Wong
Journal:  Cancer Discov       Date:  2013-09-27       Impact factor: 39.397

5.  Expression of the PD-1 antigen on the surface of stimulated mouse T and B lymphocytes.

Authors:  Y Agata; A Kawasaki; H Nishimura; Y Ishida; T Tsubata; H Yagita; T Honjo
Journal:  Int Immunol       Date:  1996-05       Impact factor: 4.823

6.  Safety, activity, and immune correlates of anti-PD-1 antibody in cancer.

Authors:  Suzanne L Topalian; F Stephen Hodi; Julie R Brahmer; Scott N Gettinger; David C Smith; David F McDermott; John D Powderly; Richard D Carvajal; Jeffrey A Sosman; Michael B Atkins; Philip D Leming; David R Spigel; Scott J Antonia; Leora Horn; Charles G Drake; Drew M Pardoll; Lieping Chen; William H Sharfman; Robert A Anders; Janis M Taube; Tracee L McMiller; Haiying Xu; Alan J Korman; Maria Jure-Kunkel; Shruti Agrawal; Daniel McDonald; Georgia D Kollia; Ashok Gupta; Jon M Wigginton; Mario Sznol
Journal:  N Engl J Med       Date:  2012-06-02       Impact factor: 91.245

7.  Upregulation of PD-L1 by EGFR Activation Mediates the Immune Escape in EGFR-Driven NSCLC: Implication for Optional Immune Targeted Therapy for NSCLC Patients with EGFR Mutation.

Authors:  Nan Chen; Wenfeng Fang; Jianhua Zhan; Shaodong Hong; Yanna Tang; Shiyang Kang; Yaxiong Zhang; Xiaobo He; Ting Zhou; Tao Qin; Yan Huang; Xianping Yi; Li Zhang
Journal:  J Thorac Oncol       Date:  2015-06       Impact factor: 15.609

Review 8.  Second and third-generation epidermal growth factor receptor tyrosine kinase inhibitors in advanced nonsmall cell lung cancer.

Authors:  Bin-Chi Liao; Chia-Chi Lin; James Chih-Hsin Yang
Journal:  Curr Opin Oncol       Date:  2015-03       Impact factor: 3.645

9.  Association of PD-L1 overexpression with activating EGFR mutations in surgically resected nonsmall-cell lung cancer.

Authors:  K Azuma; K Ota; A Kawahara; S Hattori; E Iwama; T Harada; K Matsumoto; K Takayama; S Takamori; M Kage; T Hoshino; Y Nakanishi; I Okamoto
Journal:  Ann Oncol       Date:  2014-07-09       Impact factor: 32.976

10.  Tissue expression of PD-L1 mediates peripheral T cell tolerance.

Authors:  Mary E Keir; Spencer C Liang; Indira Guleria; Yvette E Latchman; Andi Qipo; Lee A Albacker; Maria Koulmanda; Gordon J Freeman; Mohamed H Sayegh; Arlene H Sharpe
Journal:  J Exp Med       Date:  2006-04-10       Impact factor: 14.307

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  104 in total

1.  Association between PD-L1 expression and driver gene mutations in non-small cell lung cancer patients: correlation with clinical data.

Authors:  Eleni A Karatrasoglou; Ilenia Chatziandreou; Stratigoula Sakellariou; Konstantinos Stamopoulos; Nikolaos Kavantzas; Andreas C Lazaris; Penelope Korkolopoulou; Angelica A Saetta
Journal:  Virchows Arch       Date:  2020-01-27       Impact factor: 4.064

2.  [EGFR inhibition in NSCLC tumor cell lines : Influence on cell cycle and tumor control].

Authors:  Udo S Gaipl
Journal:  Strahlenther Onkol       Date:  2016-06       Impact factor: 3.621

3.  Changes in programmed death ligand 1 expression in non-small cell lung cancer patients who received anticancer treatments.

Authors:  Shota Omori; Hirotsugu Kenmotsu; Masato Abe; Reiko Watanabe; Takashi Sugino; Haruki Kobayashi; Kazuhisa Nakashima; Kazushige Wakuda; Akira Ono; Tetsuhiko Taira; Tateaki Naito; Haruyasu Murakami; Yasuhisa Ohde; Masahiro Endo; Yasuto Akiyama; Takashi Nakajima; Toshiaki Takahashi
Journal:  Int J Clin Oncol       Date:  2018-06-15       Impact factor: 3.402

4.  PD-1/PD-L1 expression in non-small-cell lung cancer and its correlation with EGFR/KRAS mutations.

Authors:  Mei Ji; Yan Liu; Qing Li; Xiaodong Li; Zhonghua Ning; Weiqing Zhao; Hongbing Shi; Jingting Jiang; Changping Wu
Journal:  Cancer Biol Ther       Date:  2016-03-08       Impact factor: 4.742

Review 5.  Targeting the PD-1/PD-L1 Immune Checkpoint in EGFR-Mutated or ALK-Translocated Non-Small-Cell Lung Cancer.

Authors:  Olivier Bylicki; Nicolas Paleiron; Jacques Margery; Florian Guisier; Alain Vergnenegre; Gilles Robinet; Jean-Bernard Auliac; Radj Gervais; Christos Chouaid
Journal:  Target Oncol       Date:  2017-10       Impact factor: 4.493

6.  Analyses of Pretherapy Peripheral Immunoscore and Response to Vaccine Therapy.

Authors:  Benedetto Farsaci; Renee N Donahue; Italia Grenga; Lauren M Lepone; Peter S Kim; Brendan Dempsey; Janet C Siebert; Nuhad K Ibrahim; Ravi A Madan; Christopher R Heery; James L Gulley; Jeffrey Schlom
Journal:  Cancer Immunol Res       Date:  2016-08-02       Impact factor: 11.151

7.  Programmed cell death ligand 1 expression in cytologic and surgical non-small cell lung carcinoma specimens from a single institution: Association with clinicopathologic features and molecular alterations.

Authors:  Ping Mei; Konstantin Shilo; Lai Wei; Rulong Shen; Dena Tonkovich; Zaibo Li
Journal:  Cancer Cytopathol       Date:  2019-04-26       Impact factor: 5.284

8.  Square peg, round hole? Programmed death-1 inhibitors in epidermal growth factor receptor-mutant non-small cell lung cancer.

Authors:  Justin F Gainor
Journal:  J Thorac Dis       Date:  2018-01       Impact factor: 2.895

9.  PD-L1 expression in colorectal cancer is associated with microsatellite instability, BRAF mutation, medullary morphology and cytotoxic tumor-infiltrating lymphocytes.

Authors:  Matthew W Rosenbaum; Jacob R Bledsoe; Vicente Morales-Oyarvide; Tiffany G Huynh; Mari Mino-Kenudson
Journal:  Mod Pathol       Date:  2016-05-20       Impact factor: 7.842

Review 10.  Immunohistochemistry for predictive biomarkers in non-small cell lung cancer.

Authors:  Mari Mino-Kenudson
Journal:  Transl Lung Cancer Res       Date:  2017-10
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