Correlation of Programmed Death Ligand-1 (PD-L1) Expression with Clinicopathological Features in Non-Small Cell Lung Carcinoma: Experience from a Tertiary Cancer Care Center in India

Background: According to the GLOBOCAN 2018 report, the estimated incidence of lung cancer in India was 67,795 in both sexes. The treatment of advanced Non-small cell lung cancer (NSCLC) saw a major paradigm shift with recent advances in molecular-targeted therapy. Immune checkpoint blockade therapy is one such novel strategy with promising clinical benefits in advanced NSCLC. Programmed cell death receptor-1/Programmed cell death ligand-1 (PD-1/PD-L1) pathway is one such checkpoint and has thus become the current area of interest in the treatment of lung carcinoma. The PD-1/ PD-L1 pathway is under active investigation as it represents a promising therapeutic target in NSCLC. The expression of PD-L1 in tumor cells has been suggested as a predictive marker of the clinical response to PD-1/ PD-L1-targeted therapy. Methods: This study was carried out at the Department of Pathology, Health Care Global Specialty Hospital, Bangalore from May 2018 to May 2019. In this study, we analyzed pattern of PD-L1 expression by immunohistochemistry testing using our own Laboratory Developed Test (LDT) in NSCLC patients. Results: Our study group comprised 50 pa-How tients of NSCLC. Among our study population, 40% of the patients exhibited PD-L1 immunopositivity (≥1%) with 28% of them having any expression (TPS 1% - 49%) and 12% of them having a high expression (TPS ≥ 50%) of PD-L1. Majority of them exhibited adenocarcinoma type of NSCLC under which the solid subtype showed a direct correlation with PD-L1 positivity (p-value: 0.004) with a poorly differentiated tumor histology being common in our population in relation to PD-L1 positivity (p-value: 0.043). PD-L1 expression did not correlate with age, gender, smoking status or clinical stage in our study. No association was found between tumor histology (SCC or AC) and driver mutation status with expression of PD-L1 in the present study. Conclusions: In our study, PD-L1 immunopositivity was found in 40% of patients and majority of them exhibited adenocarcinoma type of NSCLC. There was no correlation of PD-L1 expresion with age, gender, clinical stage, smoking status and tumor histology.


Introduction
Lung cancer, especially non-small cell lung cancer (NSCLC), accounts for more than 1.5 million deaths per year and is the leading cause of cancer deaths in men and women worldwide [1]. According to the GLOBOCAN 2012 report, the estimated incidence of lung cancer in India was 70,275 in all ages and both sexes.
More than 70% of patients are diagnosed with advanced disease, which may not be amenable to curative therapy [2].
Histologically, lung cancer is further divided into 3 major pathologic subtypes: adenocarcinoma, squamous cell carcinoma, and large cell carcinoma [3]. Adenocarcinoma accounts for 38.5% of all lung cancer cases, with squamous cell carcinoma accounting for 20% and large cell carcinoma accounting for 2.9%.
The incidence of adenocarcinoma has increased greatly in the past several decades, replacing squamous cell carcinoma as the most prevalent type of NSCLC [3] [4]. Although cigarette smoking is associated with all histologic types of lung cancer, in smokers the association is stronger for small cell lung cancer (SCLC) and for squamous cell carcinoma. Adenocarcinoma of the lung, on the other hand, is more common in never smokers (62% vs 18%, based on 5144 cases) compared with smokers (19% vs 53% based on 21,853 cases) [5] [6] However, even among smokers, adenocarcinoma is becoming more common. An increased frequency of Epidermal Growth Factor Receptor (EGFR) mutations in lung adenocarcinomas of never smokers, especially in Asian cohorts has been reported recently [7]. Lung adenocarcinomas harbor EGFR mutations and Anaplastic Lymphoma Kinase (ALK) rearrangements almost exclusively and the identification of these molecular abnormalities is clinically relevant [8]. To im-prove the survival rate in NSCLC patients, novel treatment strategies or agents are needed. Immune checkpoint blockade therapy is one such novel and exciting strategy with promising clinical benefits in advanced NSCLC [9] [10]. The immune checkpoint mechanism has a critical role to play in suppressing the anti-tumor T-cell mediated immune response in the tumor microenvironment.
Immunotherapy targeting the cellular immune checkpoints has thus become the current area of interest in lung carcinoma [11], one such checkpoint is the Programmed cell Death receptor-1/Programmed cell Death Ligand-1 (PD-1/PD-L1) pathway.
PD-L1 is a type 1 transmembrane protein (B7-H1) that belongs to the B7 ligands family and may be expressed both on hematopoietic cells and nonhematopoietic cells, including endothelial, epithelial and tumor cells. PD-L1 is the principal membrane inhibitory ligand belonging to the B7 family, and the most widely studied in NSCLC [12]. Analyzing expression of PD-L1 by immunohistochemistry (IHC) staining has been the core strategy to select NSCLC patients for PD-L1 inhibitors. Overexpression of PD-L1 has been associated with higher response rates and better outcomes to several checkpoint inhibitors like Pembrolizumab (anti-PD-1), Nivolumab (anti-PD-1), Atezolizumab (anti-PD-L1), Durvalumab (anti-PD-L1) and Avelumab (anti-PD-L1) [8]. The overexpression of PD-L1 by tumor cells in NSCLC has been demonstrated in several large retrospective studies. The largest of these studies examined archived tumor tissue from 458 patients with stage I-IV NSCLC across all histologies using quantitative immunofluorescence (QIF) to detect PD-L1 expression on the tumor cell surface [15]. This study revealed that 32% of these samples expressed elevated PD-L1. Similar smaller retrospective studies in NSCLC using both QIF and immunohistochemistry (IHC) have reported rates of PD-L1 expression by tumor cells ranging from 27% to 58% [16] [17]. Smoking status has also been correlated with elevated PD-L1 expression. However, association between overall survival (OS) and PD-L1 expression remains unclear with reports of both an associated improvement and decrease in OS [18] [19] [20]. In a study conducted by Archana GV et al. in 2017, 89 cases of resected NSCLC were studied and immunopositivity for PD-L1 in tumor cells (TC) was found to be 27%.
In the present study, we analyzed the immunohistochemistry (IHC) expression of PD-L1 in tumor cells (TC) of Squamous cell carcinoma (SCC), Adenocarcinoma (AC) and other NSCLC histological subtypes. This study also correlates the PD-L1 expression in association with the baseline clinical data of the patients and with different histopathological characteristics of the tumor.

Materials and Methods
This was a hospital based study approved by Institutional Ethics Committee, which was carried out at the Department of Pathology, Health Care Global Specialty Hospital, Bangalore from May 2018 to May 2019. The study group comprised of 50 patients with Non-Small Cell Lung Carcinoma presenting to HCG Hospital, Bangalore. Patients included in this study were at least 18 years of age, histologically confirmed for NSCLC, those who were untreated and newly diagnosed. An ideal biopsy sample in this study was defined as a minimum of 100 tumor cells which were required for the interpretation of the IHC in terms of Tumor Proportion Score (TPS) for PD-L1 expression. Hence, too tiny biopsies (<100 tumor cells) were excluded from this study. Also, post-chemotherapy/ radiation cases, Fine Needle Aspiration Cytology (FNAC) samples, decalcified tissues, specimens from the metastatic sites (ex: lymph nodes) and those with Small Cell Lung Carcinoma (SCLC) or Large Cell Neuroendocrine Carcinoma (LCNEC), were not considered for this study.
A detailed history including age, gender, clinical symptoms, radiological findings, PET scan and data of other relevant investigations were collected from patient case files. For the retrospective study, formalin fixed paraffin embedded tissue blocks and/or slides (Hematoxylin and Eosin and IHC) were recovered and reviewed for the final diagnosis of Non-Small Cell Lung Carcinoma & its subtypes. For the prospective cases, small biopsies (CT guided core biopsy) and resected (lobectomy) specimens from patients with lung carcinoma were processed and studied. These were stained with Hematoxylin & Eosin and analyzed for subtyping of the tumor using morphology and relevant immunohistochemistry, if necessary. For small biopsies, histopathological characteristics like tumor histological type, grade of differentiation, and subtype (for adenocarcinoma cases) were determined. For resections, similar histopathological characteristics including tumor size were analyzed and tabulated. Those cases which fulfilled the inclusion criteria were subjected to immunohistochemistry testing for PD-L1.
Immunohistochemistry (IHC) IHC was performed on 3 -5 micron sections of formalin fixed and paraffin embedded (FFPE) tissues using Rabbit monoclonal antibody (Clone CAL10) by BIOCARE. Due to the scarcity of FDA approved testing kits in India, our own Laboratory Developed Test (LDT), tested and validated in our laboratory was used. Tonsillar tissue or PD-L1 positive lung adenocarcinoma tissue was used as positive control and was taken on the same slide as patient sample (away from marking area). Single negative control was run by omitting primary antibody and replacing diluent solution (BSA) in which the primary antibody was diluted ( Figure 1).
Tissues sectioned and attached to slides, were dewaxed if paraffin embedded, treated with an antigen retrieval solution [EDTA buffer (1 Mm, pH 8)] if required, blocked with a proteinaceous blocking solution (3% BSA) and then incubated with the primary antibody. The bound primary antibody was detected by the addition of secondary antibody conjugated with horseradish peroxidise polymer and DAB substrate. When adequate colour developed, the slides were washed in water to stop the reaction, counterstained with Harris Haematoxylin, and covered with a mounting medium (DPX). Semi-automated method, Intellipath autostainer was used to stain the IHC. The slides were scanned using Philips Digital Ultrafast Scanner and whole slide images were generated. Digital Journal of Cancer Therapy images of the selected image histology were then photographed using the snapshot tool in the image management system software.
Statistical Analysis Descriptive statistics were used to describe data such as patient demographics and tumor-specific variables. Continuous variables were expressed as Mean and Standard deviation and categorical variables were expressed as Frequency and Percentage.
Statistical analysis was done to assess correlation of PDL-1 expression with clinicopathological and histopathological features. In these inferential statistics, Chi-square test/Fisher's Exact test was used to associate between the categorical variables. All statistical analyses were tested at 95% confidence interval and a P-value of <0.05 was considered as statistically significant. SPSS Software, Version 23 (2015) was used for the analysis.

Patient Characteristics
A total of 50 patients were included in our study and all of the patients' data in this study were analyzed for various demographic, clinicopathological and histopathological characteristics as mentioned in Table 1.
Of the 50 patients included in the study, 11 patients (22%) were aged below 50 years, 29 patients (58%) were between 50 -70 years, and 10 patients (20%) were aged above 70 years. The mean age for lung carcinoma was found to be 60.92 ± 13.46 years, with the youngest patient being 21 years old and the oldest being 93    Figure 3.
Majority of the patients (n = 38) belonged to Stage IV in the present study.  Table 4).

Discussion
Our study was carried out to analyze the pattern of PD-L1 expression in NSCLC patients, in a tertiary care hospital in Bangalore. To our knowledge, there are limited studies from India which have evaluated the expression profile of this important biomarker. A meta-analysis conducted by Minghui Z et al. included 47 different studies on PD-L1 expression and found PD-L1 positivity rates ranging from 14.3% to 75% among NSCLC patients [2]. Our study showed an overall PD-L1 positivity of 40%, which falls within this range. In a study by Archana GV et al., no correlation was found between smoking and PD-L1 expression [11]. Hence, our study showed similar results as the other Indian study. No significant association was found between tumor size and PD-L1 expression among the subjects in the present study. This finding was contrary to that demonstrated by Yunjian P et al. who found that there was a significant association between positive PD-L1 expression (including TPS ≥ 50% and TPS < 50%) in the ADC cohort with large tumor size [21]. Adenocarcinoma was the most common histological type of NSCLC in the current study. PD-L1 expression, however, showed no significant correlation with histologic type. Archana GV et al. found that higher PD-L1 positivity rates were shown by sarcomatoid carcinoma and solid predominant adenocarcinomas [11] Our study is in agreement with these observations as we found a highly significant statistical association between positive PD-L1 expression (i.e. TPS 1% -49% and >50%) with solid subtype of adenocarcinoma (p-value 0.004). Thus, we can conclude that patients with solid subtype of adenocarcinoma might show a positive PD-L1 expression and are likely to benefit from immune checkpoint/anti-PD-L1 therapy. Our study demonstrated that less tumor differentiation/poorly differentiated histology (G3) was significantly associated with PD-L1 positivity (p-value 0.043). This finding is in concordance with the finding by Kentaro Inamura et al., who observed that PD-L1 expression was associated with less tumor differentiation [1]. In our study, we did not find any significant association between EGFR, ALK or ROS1 mutation status and PD-L1 positivity in our cohort. However, our study was limited by the small size and lack of follow-up data.

Conclusion
In our study, PD-L1 immunopositivity was found in 40% of patients and majority of them exhibited adenocarcinoma type of NSCLC. There was no correlation of PD-L1 expresion with age, gender, clinical stage, smoking status and tumor histology. There was a highly significant statistical association between adenocarcinoma subtype and PD-L1 expression, with the solid subtype correlating with positive PD-L1 expression. Our study also demonstrated that less tumor