The Clinical Significance of Deglycosylated PD-L1 Level Detection Using 28-8 Monoclonal Antibody in Lung Adenocarcinoma.

Purpose: The aim of this study was to explore the clinical significance of deglycosylated PD-L1 level and its correlation with EGFR and ALK mutation in lung adenocarcinoma. Materials and
Methods: We estimated the intensity of both native and deglycosylated PD-L1 signals using a 28-8 antibody on lung adenocarcinoma tissue microarray sections. We analyzed the difference in the H-score between tumor and paratumor tissues, as well as that before and after deglycosylation. Correlations between EGFR or ALK status and PD-L1 expression were analyzed. We also evaluated the differences among survival curves.
Results: The expression level of PD-L1 in lung adenocarcinoma tissues was significantly higher than that in paratumor tissues (P<0.0001). Deglycosylation significantly enhanced the detection of PD-L1 in tumor tissues (P<0.0001). There was no statistical significance between the signal intensity of deglycosylated PD-L1 and the survival of patients (P=0.9099). However, the response to deglycosylation of PD-L1 was significantly correlated with the survival of patients with stage N1-N3 (P=0.0435) and stage T3-T4 (P=0.0366) and male patients (P=0.0258). A statistical trend was found in the correlation between the response to deglycosylation of PD-L1 and the survival of patients with grade II-III plus grade III (P=0.0973). Correlation between EGFR or ALK status and the expression of PD-L1 was not found (P>0.05).
Conclusion: PD-L1 deglycosylation enhances the detection of PD-L1 when utilizing a 28-8 antibody. Moreover, the response to deglycosylation of PD-L1 may predict the survival of certain patients with lung adenocarcinoma.

Introduction

Programmed death ligand 1 (PD-L1) is one of the ligands of programmed death 1 (PD-1), which can cause tumor immune escape. Estimation of the PD-L1 signal intensity by utilizing immunohistochemistry (IHC) staining is used to guide immunotherapy in multiple cancer types.1 However, increasing evidence has shown that the response to immune checkpoint inhibitors (ICIs) is often inconsistent with the expression status of PD-L1.2 Therefore, a better PD-L1 detection method is needed to stratify patients more accurately in clinical practice.

A study by Lee et al showed that the removal of N-linked glycosylation can enhance the detection of PD-L1 and predict anti-PD-1/PD-L1 therapeutic efficacy more accurately in lung cancer, head and neck cancer, esophageal cancer, bladder cancer and et al.3 This inspired the detection of deglycosylated PD-L1 as a better diagnostic biomarker for cancer immunotherapy. N-linked glycosylation is a common post-translational modification of PD-L1, and it has been shown that PD-L1 with heavy N-linked glycans exists in a variety of cancer types. PD-L1 exhibits size differences on Western blots, mainly detected at ~ 45 kDa and ~ 33 kDa. Glycosylated PD-L1 is commonly detected at ~45 kDa, whereas PD-L1 without N-linked glycosylation is detected at ~33 kDa.4 A previous study by our team compared the signal intensity of native and deglycosylated PD-L1 utilizing different PD-L1 antibodies, including 28–8, 73–10, CAL10 and SPA142 in lung cancer.5 The results of that study indicated that PD-L1 expression detected by 28–8, CAL10 and SP142 monoclonal antibodies (mAbs) was significantly enhanced after deglycosylation, but the intensity of PD-L1 detected by 73–10 mAbs was slightly reduced after deglycosylation.

Lung adenocarcinoma is the most common form of lung cancer, and EGFR mutations are commonly detected in non-small cell lung cancer (NSCLC), especially in lung adenocarcinoma.6,7 ALK and KRAS mutations are also important oncogenic drivers in lung adenocarcinoma.8 It has also been shown that high PD-L1 expression is associated with a poor prognosis of lung adenocarcinoma patients.9

To learn more about the significance of detection of deglycosylated PD-L1 in lung adenocarcinoma, we improved the process of deglycosylation of PD-L1 by applying a thermal denaturation strategy, then compared the expression of native and deglycosylated PD-L1 with 28–8 mAbs, since it was previously shown that the intensity of PD-L1 detected by 28–8 mAbs was more enhanced than the other two mAbs in our previous research.5 We also analyzed the correlation between the survival time of patients and the response to deglycosylation of the samples. Moreover, a study by Ota et al found that EGFR and ALK mutations were correlated with higher PD-L1 expression levels,10 but another study reported that EGFR mutations were correlated with lower PD-L1 expression levels.11 The correlation between EGFR and ALK status and PD-L1 expression was also analyzed in this research. Overall, our study aimed to further understand the significance of deglycosylated PD-L1 detection in lung adenocarcinoma in clinical practice.

Materials and Methods

Reagents and Tissue Microarray

PD-L1 antibody (28–8), an IHC detection kit HRP/DAB (ab209101) and HIER antigen retrieval reagent (ab208572) were acquired from Abcam. Recombinant PNGase F (P0708) was acquired from New England Biolabs. Conventional reagents for IHC staining were obtained from Dako.

The lung adenocarcinoma tissue microarray (TMA) section (HLugA180Su07) was acquired from Outdo Biotech and it contained 98 lung adenocarcinomas and 82 paratumor samples. The TMA embodied several clinicopathological characteristics, including age, grading and staging of the tumor, EGFR and ALK status, and survival time. More precisely, the 98 patients included 55 men and 43 women with a median age of 60. They were diagnosed lung adenocarcinoma and underwent radical surgery for lung cancer between 2004 and 2009. After recurrence, all patients received standard first-line and second-line chemotherapy. The end of follow-up was August 2014, and 11 patients were lost. Disease staging and grading are according to the AJCC Cancer Staging Manual. Ethical approval for this study was granted by the Clinical Research Ethics Committee, Wuxi People’s Hospital affiliated with Nanjing Medical University.

Tissues Deglycosylation and Immunohistochemistry

IHC staining and tissue deglycosylation were performed on these TMA sections directly. The TMA sections were incubated at 60℃ for 1 hr after incubation at 40℃ overnight, deparaffinized with xylene and ethanol and hydrated with distilled water. HIER antigen retrieval buffer obtained from Abcam was used to perform antigen retrieval. To thoroughly remove the N-linked glycan of PD-L1, we applied a thermal denaturation strategy to improve Lee’s method3 for PD-L1 deglycosylation. After washing the TMA sections twice with PBS, the TMA sections were incubated with 1× glycoprotein denaturing buffer at 95℃ for 3 hr, and then the sections were washed with PBS three times. The TAM sections were then treated with or without 5% recombinant PNGase F (P0708, New England Biolabs) containing PBS at 37℃ for 12 hr and subjected to IHC staining. Antibody 28–8 (ab205921, Abcam) mixed with HIER antigen retrieval buffer (ab208572, Abcam) at a proportion of 1:500 was used in the current study. DAB and hematoxylin counterstaining were used to visualize the antibody staining. Aperio Digital Pathology Slide Scanners were used to scan the immunostained sections.

An established semiquantitative approach was used to evaluate the results of the IHC to assess the Histoscore (H-score). The H-score (0 to 300) was evaluated by the following method: H-score = [1×(the percentage of cells stained at intensity category 1) + 2×(the percentage of cells stained at intensity category 2) + 3×(the percentage of cells stained at intensity category 3)].

Statistical Analysis

Statistical analyses and visualization were performed by GraphPad Prism 8.0. All error bars denote the standard deviation (SD). The Mann–Whitney test was utilized to analyze the difference in H-score between the tumor and paratumor tissues, as well as that before and after deglycosylation. The Log rank test was used to evaluate the difference between survival curves. A two-tailed P value ≤ 0.05 was considered statistically significant.

Results

Comparability of PD-L1 Expression in Lung Adenocarcinoma Tissues and Paratumor Tissues Utilizing PD-L1 28-8 mAbs

IHC assays are the most prevalent measure used to detect the signal intensity of PD-L1, which is used to stratify patients to guide anti-PD-1/PD-L1 therapy.12 In this research, we compared the signal intensity of PD-L1 between lung adenocarcinoma samples and paratumor samples utilizing PD-L1 28–8 mAbs. Representative images showing the characteristic staining pattern of PD-L1 located in the cytomembrane and cytoplasm are shown in Figure 1A. The H-score of PD-L1 in lung adenocarcinoma samples (mean±SD, 54.78±38.46) was significantly higher than that in paratumor samples (mean±SD, 30.31±31.38) when detected by PD-L1 28–8 mAbs (P<0.0001, Figure 1B).

Figure 1

The signal intensity of PD-L1 in lung adenocarcinoma tissues and para-tumor tissues (A) Representative images exhibit the samples stained with PD-L1 28–8 antibody (B) H-score of PD-L1 in tumor and para-tumor tissues stained by PD-L1 28–8 mAb. The error bars represent the standard deviation.

Comparability of PD-L1 Expression in Lung Adenocarcinoma Before and After Deglycosylation Utilizing PD-L1 28-8 mAbs

The study of Lee et al showed that removal of N-linked glycosylation could enhance the signal intensity of PD-L1.3 In this research, we applied a thermal denaturation strategy to thoroughly remove the N-linked glycosylation. Then, we compared the PD-L1 expression status between native and deglycosylated samples. Representative images showed that deglycosylation of PD-L1 remarkably enhanced PD-L1 detection (Figure 2A). We then analyzed the H-score of PD-L1 expression in native and deglycosylated samples. The H-score of deglycosylated PD-L1 (mean±SD, 54.78±38.46) samples was significantly higher (P<0.0001) than native PD-L1 (mean±SD, 71.86±27.77) samples (Figure 2B).

Figure 2

The signal intensity of PD-L1 in lung adenocarcinoma tissues without and with deglycosylation (A) Representative images exhibit the samples with or without deglycosylation stained with PD-L1 28–8 mAb (B) H-score of PD-L1 in tumor tissues before and after deglycosylation stained by PD-L1 28–8 mAb. The error bars represent the standard deviation.

Correlation Between EGFR Status and the Expression of Native or Deglycosylated PD-L1

The EGFR status of 75 samples is provided. There were 13 EGFR mutation-positive samples as well as 62 EGFR mutation-negative samples among the 75 samples. To determine whether deglycosylation of PD-L1 could affect the relationship between EGFR status and the expression of PD-L1, we analyzed the signal intensity of native and deglycosylated PD-L1 in various samples with different EGFR statuses. We found no statistically significant correlation between either EGFR status and signal intensity of native PD-L1 (P=0.7767, Figure 3A) or EGFR status and signal intensity of deglycosylated PD-L1 (P=0.2457, Figure 3B).

Figure 3

Correlation between EGFR status and expression of PD-L1 (A) Signal intensity of natural PD-L1 stained by PD-L1 28–8 mAb in EGFR mutation-positive and EGFR mutation-negative (WT, wild type) lung adenocarcinoma samples. The error bars represent the standard deviation (B) Signal intensity of deglycosylated PD-L1 stained by PD-L1 28–8 mAb in EGFR mutation-positive and EGFR mutation-negative lung adenocarcinoma samples. The error bars represent the standard deviation.

Correlation Between ALK Status and the Expression of Native or Deglycosylated PD-L1

The ALK status of 80 samples is provided. Among these samples, 15 samples were ALK mutation-positive, and 65 samples were ALK mutation-negative. The signal intensities of the natural and deglycosylated PD-L1 in various samples with different ALK statuses were also analyzed. There was no statistically significant correlation between ALK status and the signal intensity of native PD-L1 (P=0.5334, Figure 4A) or between ALK status and the signal intensity of deglycosylated PD-L1 (P=0.4127, Figure 4B).

Figure 4

Correlation between ALK status and expression of PD-L1 (A) Signal intensity of natural PD-L1 stained by PD-L1 28–8 mAb in ALK mutation-positive and ALK mutation-negative lung adenocarcinoma samples. The error bars represent the standard deviation (B) Signal intensity of deglycosylated PD-L1 stained by PD-L1 28–8 mAb in ALK mutation-positive and ALK mutation-negative lung adenocarcinoma samples. The error bars represent the standard deviation.

Correlation Between the Survival Time of Patients and the Response to Deglycosylation of the Lung Adenocarcinoma Tumor Tissue

We also studied the correlation between the survival time of patients and the signal intensity of deglycosylated PD-L1. Excluding 11 samples lost to follow-up, we analyzed the survival time of 87 samples. The results showed that there was no statistical significance between the deglycosylated PD-L1 signal intensity and the survival time of patients (P=0.9099, Figure 5).

Figure 5

Correlation between survival time of patients and signal intensity of deglycosylated PD-L1 stained by PD-L1 28–8 mAb.

Then, we further analyzed the correlation between the response to deglycosylation of the samples and the survival time of patients with different pathological parameters. We divided the samples into two groups according to their response to deglycosylation. Among 87 samples, 17 samples exhibited a strong response to deglycosylation (HRD), with an H-score of deglycosylated PD-L1 that was 2.5 times higher than their H-score of native PD-L1, and 70 samples exhibited a low response to deglycosylation (LRD), whose H-score of deglycosylated PD-L1 was less than 2.5 times the H-score of the natural PD-L1 of those samples. However, we found that there was no significant correlation between survival time and the response to deglycosylation among the patients with tumors of grade I (Figure 6A) and grade II (P=0.6889, Figure 6B), but there was a statistical trend in the correlation between survival time and the response to deglycosylation among patients with tumors of grade II–III plus grade III (P=0.0973, Figure 6C). Then, we found that the survival time of LRD patients was significantly longer than that of HRD patients among patients with lymphatic metastasis (P=0.0435, Figure 7A), but there was no significant correlation among patients without lymphatic metastasis (P=0.3456, Figure 7B). Moreover, the survival time of LRD patients was significantly longer than that of HRD patients with tumors in stages T3-T4 (P=0.0366, Figure 8B), but there was no significant correlation among patients with tumors in stages T1-T2 (P=0.5420, Figure 8A). Finally, the results showed that the survival time of male patients varied significantly between HRD patients and LRD patients (P=0.0258, Figure 9A), but the survival time of female patients was not significantly correlated with the response to deglycosylation (P=0.8980, Figure 9B).

Figure 6

Survival time of patients with lung adenocarcinoma in different grade (A) Survival time of patients with lung adenocarcinoma in grade I (B) Survival time of patients with lung adenocarcinoma in grade II (C) Survival time of patients with lung adenocarcinoma in grade II–III plus grade III.

Figure 7

Survival time of patients with lung adenocarcinoma in different N stage (A) Survival time of patients with lung adenocarcinoma in stage N1-N3 (B) Survival time of patients with lung adenocarcinoma in stage N0.

Figure 8

Survival time of patients with lung adenocarcinoma in different T stage (A) Survival time of patients with lung adenocarcinoma in stage T1–T2 (B) Survival time of patients with lung adenocarcinoma in stage T3–T4.

Figure 9

Survival time of patients with lung adenocarcinoma of different gender. (A) Survival time of male patients with lung adenocarcinoma. (B) Survival time of female patients with lung adenocarcinoma.

Discussion

PD-L1 is a vital biomarker for ICIs. Detection of the PD-L1 expression signal by IHC has been applied to guide immunotherapy for patients with different cancers in clinical work and can also be used to predict the response to immune checkpoint inhibitor (ICI) therapy. The American Food and Drug Administration (FDA) has confirmed that the results of PD-L1 IHC testing can guide whether ICIs should be used to treat patients suffering from NSCLC.13 The randomized Phase III KEYNOTE-042 study indicated that patients with PD-L1 expression ≥ 50% had longer overall survival (OS) than patients with PD-L1 expression < 50% after treatment with pembrolizumab.14 However, progression-free survival (PFS) was more improved by pembrolizumab than chemotherapy only in the PD-L1 tumor proportion score (TPS) ≥50% group. The PFS of patients treated with pembrolizumab in the PD-L1 TPS ≥20% group and PD-L1 TPS ≥1% group was similar to that of patients treated with chemotherapy in the KEYNOTE-042 China study.15 Another phase III Checkmate 078 trial showed that in advanced NSCLC patients treated with nivolumab, the median OS of patients with PD-L1 expression ≥ 1% was longer than the median OS of patients with PD-L1 expression < 1%.16

However, there are still some shortcomings in the application of PD-L1 detection, and researchers are looking for new detection methods to predict the curative effect of ICIs more accurately. Studies have shown that some PD-L1-negative patients can also benefit from ICIs.17–20 One study suggested that the positive rate of PD-L1 mRNA detected by in situ hybridization (ISH) was higher than that of PD-L1 protein expression detected by IHC,21 and more patients may benefit from ICIs if detected by ISH. For some patients, the tumor tissue sample is too small to enable a large number of molecular detections. The signal intensity of PD-L1 in circulating tumor cells (CTCs) has been suggested to be correlated with that in tumor tissue22 and is expected to be a new biomarker for ICIs, but treatment, including first-line treatment, may affect the uniformity between the signal intensity of PD-L1 in tumor tissue and that in CTCs.23 Moreover, the signal intensity of PD-L1 may be different between matched primary samples and metastatic samples,24 which can also affect the choice of treatment. Recently, exosomal PD-L1 and soluble forms of PD-L1 have also been detected. Cordonnier et al found that in melanoma, the positive rate of exosomal PD-L1 was higher than that of PD-L1 in biopsies, and the change in exosomal PD-L1 expression before and after treatment was negatively correlated with the tumor response to ICIs and the clinical outcome.25 Soluble PD-L1 may be able to trigger apoptotic signals in target T cells and promote tumor progression.26 Okuma et al found that in NSCLC, patients with low soluble PD-L1 expression had a longer OS than those with high soluble PD-L1 expression when treated with nivolumab.27 In metastatic urothelial cancer patients treated with atezolizumab, patients with lower peripheral T-cell receptor clonality at baseline were found to have longer PFS and OS than those with higher peripheral T-cell receptor clonality.28 Additional studies are needed to confirm the correlation between those biomarkers and the curative effect of immunotherapy.

Glycosylation modification could hamper the binding of 28–8 antibodies leading to underestimation of PD-L1 expression. This study showed that the response to deglycosylation of PD-L1 was associated with the survival of patients with tumors in stage N1-N3 and stage T3-T4 and male patients, and a statistical trend was found in the correlation between the response to deglycosylation of PD-L1 and the survival of patients with grade II–III plus grade III, which may help to guide the prognosis prediction in clinic. In contrast, no significant correlation was found between the response to deglycosylation of PD-L1 and the survival time of patients with other pathological parameters. A meta-analysis showed that poor tumor differentiation was associated with high PD-L1 signal intensity, but other clinicopathological characteristics, including tumor node metastasis (TNM) stage and sex, were not correlated with PD-L1 signal intensity. Moreover, high PD-L1 signal intensity was indicated to be associated with a poor prognosis.29 We speculated that it may be attributed to severe immunosuppressive environment in certain patients, but the mechanism needs to be further explored. Moreover, the subsequent use of deglycosylation detection may be more valuable for predicting the efficacy of ICIs treatment. Studies with more samples focusing on whether deglycosylated PD-L1 expression can more accurately predict ICIs efficacy are needed.

EGFR and ALK mutations are important oncogenic drivers in lung adenocarcinoma. Several studies have researched the correlation between EGFR and ALK status and the expression of PD-L1. Some researchers suggested that EGFR mutations were positively associated with high PD-L1 signal intensity in NSCLC.10,30,31 In contrast, a study by Takada et al showed that EGFR mutation-positive samples might have a lower signal intensity of PD-L1 in lung adenocarcinoma.11 Moreover, a study reported that there was no significant correlation between EGFR status and the expression of PD-L1.32 Hsu et al found that among EGFR mutation-positive lung adenocarcinoma patients, those with higher expression of PD-L1 were more likely to experience primary resistance to EGFR-TKIs.33 ALK mutation was also found to be positively related to high PD-L1 signal intensity in NSCLC.10,34 However, Zhang et al showed that there was no significant correlation between ALK status and the expression of PD-L1.9 Ota et al found that both mutant EGFR and EML4-ALK can activate the MEK-ERK and PI3K-AKT signaling pathways and upregulate PD-L1 signal intensity in NSCLC.10 In our research, no significant correlation was found between EGFR status and the expression of PD-L1, and ALK mutation also had no correlation with PD-L1 expression. The proportions of patients with EGFR mutations or ALK mutations in this research were 17.33% and 18.75%, respectively, which were different from the proportions of patients with EGFR mutations or ALK mutations in Asian patients, which were approximately 51.4% in lung adenocarcinoma and 4.9% in NSCLC.35,36 Moreover, insufficient specimens may also affect the results of the research. In general, studies containing more samples are needed for further study.

There are several limitations in this study. First, adenocarcinoma accounts for about 55% of NSCLC, researches focused on overall NSCLC patients are still needed. Secondly, there are several different antibodies for the detection of PD-L1 such as 28–8, 22C3, SP142 etc. These antibodies bind to different sites and show heterogeneous interference to the deglycosylation treatment. Our study discussed a common used 28–8 antibody and it is undeniable that there is a long way to go to form a unified gold standard PD-L1 detection method at present. Thirdly, our study did not analyze the relevance of deglycosylated PD-L1 detection and the efficacy of immunotherapy, which has vital value in clinical application as mentioned before. Finally, the sample size of this study is limited, and a larger sample size is needed for further verification and mechanism research.

Conclusions

In conclusion, our study indicated that the intensity of PD-L1 expression in lung adenocarcinoma tissues was higher than that in paratumor tissues. It also showed that PD-L1 deglycosylation could remarkably enhance the detection of PD-L1. Most importantly, there was a correlation between the response to deglycosylation of PD-L1 and the survival of patients with stage N1-N3 and stage T3-T4 and male patients. A statistical trend in the correlation between survival time and the response to deglycosylation among patients with grade II–III plus grade III was also found. In contrast, correlation between the response to deglycosylation of PD-L1 and the survival of patients with other pathological parameters was not found. No correlation was found between EGFR or ALK status and the expression of PD-L1. Overall, our research may improve the current method for the stratification of patients with lung adenocarcinoma for anti-PD-1/PD-L1 therapy, but more clinical samples are needed to prove the relationship between the response to deglycosylation of PD-L1 and the survival time of patients. More patients are expected to benefit from the new evaluation method.