Programmed Death Ligand 1; An Immunotarget for Renal Cell Carcinoma

Abstract

Background:

In this era of developing targeted therapies and immunotherapies as a treatment for renal cell carcinoma (RCC), Programmed death ligand 1 (PDL1) as a novel biomarker for RCC is analysed in our study. About 90% of all renal cancers are Renal Cell Carcinoma. Most cases are diagnosed incidentally. 17% of cases are advanced at the time of diagnosis. PDL1 being a trans-membrane cell surface protein is expressed on the tumor cells and is found to have a chief role to inhibit the T cell immune response. It is essential to improve the host immunity by targeting the PD1/PDL1 pathway, thereby destroying the tumor progression. Aim: The aim of this study was to evaluate the expression of PDL1 in tumor cells and adjacent normal tissue among the renal cell carcinoma patients and assess the relation between the PDL1 expression and the tumor characters.

Methods:

This is a retrospective study. Ethical clearance was obtained from the institution. 150 histopathologically proven RCC cases were chosen. Immunohistochemistry using a PD-L1 rabbit monoclonal antibody was performed on paraffin embedded formalin fixed tissue blocks. Q scoring was done to calculate the expression of PDL1.

Statistical analysis:

Chi square test was done to assess the comparison between the PDL1 expression in tumor cells and their characteristic features like histology, grade and stage. SPSS (version 20.0) was used for analysis. P value <0.05 was considered significant. It also explains the heterogenous nature of PDL1 as it expressed more in the aggressive pathologic characters like high grade. Results: Positive PD-L1 expression was seen in 44% of tumors. Significant association was observed between high WWHO ISUP grading and positive PDL1 expression (p=0.028). It was expressed in 75% of the sarcomatous type of RCC and 46.8% of clear cell RCCs. Conclusion: Our study suggests that blocking PD1/PDL1 pathway may become an effective mode of treatment in cancer immunotherapy especially for Renal Cell Carcinomas. Our findings confirmed the significant association between expression of PDL1 and the high graded tumors which proves it to be an important prognostic factor.

Introduction

In the recent years with the advancement in the knowledge about the disease biology and the introduction of targeted agents and immunotherapies, a significant progress in the treatment of renal cell carcinoma(RCC) is noted. Renal cell carcinoma (RCC) is the sixth most frequently diagnosed cancer in men and tenth in women (Siegel et al., 2018). It is a very aggressive malignancy. About 90% of all renal cancers are Renal Cell Carcinoma. Most cases are diagnosed incidentally. At the time of diagnosis, many cases are small tumors and can be surgically removed whereas 17% of cases are advanced (Capitanio and Montorsi, 2016). Around 30% of patients will present metastatic disease at the time of diagnosis and metastases are found in 30% to 40% of those initially treated in curative intent RCC ranks as the 13^th common cause of death worldwide (Hutson, 2011). Inspite of the advancements made in the diagnosis, treatment strategies of RCC; it is observed in the last two decades that RCC has become a lethal urological malignancy (Chow and Devessa, 2008). High incidence is seen in the western population especially in North America followed by Western Europe. Asian countries have an age standardised rate of 0.6% in western Asia and 0.3% in eastern Asia. According to the GLOBOCAN 2018, the age standardised rate of kidney cancers incidence in USA is 10 per 1,00,000/year and mortality around 2.3 per 100,000/year. In European countries, the incidence is around 9 per 100,000/year and mortality 3 per 100,000/year. In the last few decades the incidence of kidney cancers in India is around 1 per 1,00,000/year and mortality 0.8 per 100,000/year. It is now increasing at a faster rate in the Indian population (Ferlay et al., 2015). RCC is resistant to both chemotherapy and radiotherapy. Nephrectomy is considered the treatment of choice for most RCCs (Rossi et al., 2018).

A number of clinical trials have proved the effectiveness of targeted therapies in RCC. VEGF and mTor pathway inhibitors play a major role in designing the treatment strategy. They inhibited the angiogenic activity of the tumor and arrested its further growth. But all these fail in the case of metastatic RCC (Choueiri et al., 2015). Hence other modalities of treatment had to be tried. Immunotherapy like interferon –α and interleukin 2 have been found to improve the survival rates in a very small percentage of the patients (Fyfe et al., 1995).

Programmed death ligand 1 which is a trans-membrane cell surface protein seen expressed on the tumor cells. Their chief role is to inhibit the T cell immune response. It binds with PD1which is a T cell surface protein and inactivates it, thereby promoting tumor growth and metastasis (Harshman et al., 2014). Thus it is essential to improve the host immunity by targeting the PD1/PDL1 pathway. These blocks the PD1 and PDL1 binding, thus the inactivated T cell becomes active again and destroys the cancer cell (Gong et al., 2018). Before performing this immunotargeted therapy, we should select the patients who respond to this type of targeted immune therapy. For this we need to study the expression of PDL1 in the tumor cells of the RCC patients by Immunohistochemistry.

Aim

The aim of this study was to evaluate the expression of PDL1 in tumor cells and adjacent normal tissue among the renal cell carcinoma patients and assess the relation between the PDL1 expression and the tumor characters

Materials and Methods

This is a cross sectional study. Ethical clearance and the needed permissions were obtained from Sri Ramachandra Institute of Higher Education and Research. All Renal cell carcinoma patients who underwent nephrectomy in Sri Ramachandra Hospital during the period January 2010 to September 2018 were initially chosen for the study. Among them 150 histo pathologically proven RCC cases were shortlisted. Their corresponding paraffin embedded formalin fixed blocks were carefully chosen. Their relative case reports were analysed from the medical records department. There were 111 males and 39 females included in the study. The mean age is 55 and the mean tumor size is 7.3cm. Most of the cases were admitted with the complaint of abdominal pain (73) and hematuria (39). Furhmans nuclear grading was done to assess the grade of the tumor. TNM staging was done to stage the tumor.

Immunohistochemistry (Biotin Streptavidin Immunoperoxidase method) was done to assess the expression of PDL1 in the tumor cells. The tissue blocks were first sliced 4um thick tissue section and fixed to a slide followed by dewaxing and hydration. Then hydrogen peroxide was added and rinsed in PBS. Then citrate buffer was added, cooled and rinsed with PBS. Later PDL1 rabbit monoclonal antibody (E1L3N; cell signalling technology, 1:25 dilution) was used and incubated overnight at 4ºC. Again it was rinsed with PBS and the universal DAB dilution kit was used to visualize the primary antibody (Cogswell et al., 2017). Slide was then counterstained with hematoxylin, dehydrated with alcohol and sealed. The prepared slide was focussed under the microscope at high magnification x200. Brown colouration was noticed in the cell membrane of the tumor cells which explains the expression of PDL1 in the tumor cells (Choueiri et al., 2015. Then Q scoring was done to calculate the expression of PDL1. Q = P X I; P – percentage of cells showing PDL1 expression; I – intensity of the stain taken up by the cells (Namnak et al., 2015).

The percentages of PDL1 expression were assessed according to the extent of staining. Figure 1 shows the hematoxylin and eosin stained clear cell RCC slide. Negatively stained slides or showing expression in tumor cells < 5% was scored 0 (Figure 2), weakly expressed slides or tumor cells >5% were scored 1 (Fgure 3). Moderate expressed slides and cells >5% were scored 2 (Figure 4) and strongly expressed in cells > 5% were scored 3(Figure 5). The samples were subsequently subdivided into PDL1 positive (scores 1, 2,3) and PDL1 negative (score 0) (Mahoney et al., 2015). The arrow marks shown in the figures 3, 4 & 5 show the membrane staining of PDL1 in the clear cell types of RCC.

Figure 1.

H and E Clear Cell Renal Cell Carcinoma

Figure 2.

PDL1 Negative Score: 0

Figure 3.

PDL1 Expression Score: 1

Figure 4.

PDL1 Expression Score: 2

Figure 5.

PDL1 Expression Score: 3

Statistical Analysis

Chi-squared tests were used to compare the PDL1 expression with the tumor characteristics. All analyses were conducted in SPSS (version 20.0). All P-values were two-sided and those <0.05 were considered statistically significant.

Results

The characteristics the subjects involved in the study are highlighted in the Table 1. The study included 150 subjects with RCC. According to the WHO-ISUP grading, the tumors were grouped as high grade tumors (III, IV) and low grade tumors (I, II). Among the 150 samples, 66 (44%) expressed PDL1 expression in the tumor cell surface whereas 84 were negatively stained. The classical histological subtypes of RCC are clear cell (ccRCC), papillary, chrompphobe, collecting duct and sarcomatous. Graph 1 explains the distribution of PDL1 expressing tumors belonged to the sarcomatous subtype (75%) which is mostly high grade and high staged tumors. Graph 2 explains the increased expression of PDL1 among the high grade tumors. From the Table 2, it clearly shows us that PDL1 expression is significantly associated with the WHO ISUP grading (0.028). On the other hand, PDL1 was not associated with age, gender, stage and histology.

Table 1.

Baseline Parameters of the Study

Characteristics	No. of patients (n)	%
Gender
Male	111	74
Female	39	26
Histology: clear cell
clear cell	109	72.7
Papillary	14	9.3
Chromophobe	22	14.7
Collecting duct	1	0.7
Sarcomatous	4	2.7
Grade
I	23	15.3
II	94	62.7
III	19	12.7
IV	14	9.3
Stage	63	42
I
II	43	28.7
III	28	18.7
IV	16	10.7
PDL1 positive	66	44
PDL1 negative	84	56
	Median	Min to Max
Mean Age	55	23 to 90
Mean tumor size	7.3	1.8 to 21

Graph 1.

Distribution of PDL1 Expression among the Tumor Histological Subtypes

Graph 2.

Distribution of PDL1 Expressions among the Furhman Nuclear Grades

Table 2.

Comparison of the PDL1expression with the Clinical and Pathologic Features of Renal Cell Carcinoma Patients

Feature	PDL1 + (66)	PDL1 – (84)	P value
Age at surgery
<= 50	15 (31.9%)	32 (68.1%)
>50	51 (49.5%)	52 (50.5%)	0.04
Sex
Male	54 (48.6%)	57 (51.4%)	0.053
Female	12 (30.8%)	27 (69.2%)
Sub-types
Clear cell	52 (46.8%)	58 (53.2%)
Papillary	4 (28.6%)	10 (71.4%)
Chromophobe	7 (31.8%)	15 (68.2%)
Sarcomatoid	3 (75%)	1 (25%)	0.21
Collecting duct	0 (0%)	1 (100%)
Grade
I	10 (43.5%)	13 (56.5%)
II	35 (37.2%)	59 (62.8%)
III	10 (52.6%)	9 (47.4%)	0.028
IV	11 (78.6%)	3 (21.4%)
Stage
I	28 (44.4%)	35 (55.6%)
II	15 (34.9%)	28 (65.1%)
III	14 (50.0%)	14 (50%)	0.417
IV	9 (56.3%)	7 (43.8%)

Statistical analysis was done using Chi square test to compare the PDL1 expression and tumor characteristics; p value <0.05 was considered as significant

Discussion

Systemic therapies targeting vascular endothelial growth factor (VEGF) and mammalian target of rapamycin (mTOR) pathway form the major advances in treatment of metastatic RCC. In the later decades their effectiveness had no much role in metastatic cases (Hutson et al., 2011). Many promising results were obtained recently after the entry of the new modality of treatment – the PD1/PDL1 pathway inhibition. PDL1 is being studied as the biomarker for tumors like melanoma, RCC and NSCLC (Thompson et al., 2006). It is found to inhibit the PD1/PDL1 pathway thereby arresting the tumor progression. But it is still not a well-established biomarker due to the lack of researches in this field of immunotherapy. To date many clinical trials are going on to show the positive responses of PDL1.

According to the studies from the western population, Renal cell carcinoma (RCC) represents 2% to 3% of all cancers, corresponding to 338,000 new cases diagnosed each year worldwide. If the incidence and mortality tend to decrease in Western Europe, recent data from the United States show a continued increase in incidence. The expression of PDL1 has been studied in various American and European countries. But very few studies have been done in India in the renal carcinoma cases. In the last few decades, due to the increase in incidence of RCC in the Indian population, many research works nave begun (Jacquet et al., 2019).

Our study showed 44% of the renal cell carcinoma tissues expressed positive PDL1 in the tumor cell membrane. It was expressed in 75% of the sarcomatous type of RCC and 46.8% of clear cell RCCs and a significant association was between the PDL1 expression and the high graded tumors. Dong et al., (1999) described the Tcell surface protein PDL1 expressed by the tumor cells. These tumor cells expressing PDL1 have been found to inhibit the T cell mediated immunity and as a result help in the progression of the tumor (Dong et al., 1999). There are a few literatures showing the relation between the PDL1 expression and the improvement in the prognosis of the RCC patient. Thompson et al was the first to do a detailed study about PDL1 among the RCC patients in 2004 (Thompsonet al., 2004). Many researchers studied the relation between PDL1 expression and poor prognosis. Some studies showed poor survival among the metastatic patients expressing PDL1 (Rini et al., 2006). Interestingly few literatures showed no correlation in the PDL1 expression between the primary tumors and metastatic tumors.

In breast cancer, PDL1 was associated with poor prognosis. In gastric cancers, PDL1 positivity was associated with high staged tumors and overall survival (Iwai Y, 2002). A review study in non-small cell lung carcinoma specified the association of PDL1 expression with tumor differentiation as well as overall survival rate. These NSCLC patients were found to get benefitted with PD1/PDL1 inhibitor – Nivolumab. Pembrolizumab has also been studied in NSCLC cases (Yamaguchi et al., 2017). There are few studies which showed PDL1 negative tumors responded well to the nivolumab than the PDL1 expressing tumors. Many combination studies are also going on where anti VEGF therapy and anti PDL1 therapy for metastatic cases showed reasonable benefits in clear cell RCC. PDL1 levels in serum samples were studied in few ccRCC patients but failed to prove and significance (Kruger et al., 2017).

In our study we studied the weak, moderate and strong expression of PDL1 in different subtypes of RCC. Their association with the high graded tumor gives the hope to proceed with further research in this field to prove the potential role of PDL1 among the RCC tumors. According to Joseph et al. sarcomatous type of RCC expressed stronger PD-L1 than RCC without sarcomatous features which substantiates our study which also showed the greater expression of PDL1 among the sarcomatous RCCs (Joseph et al., 2015).

Kammerer-Jacquet et al demonstrated that the PD-L1 expression was associated with noninactivated VHL tumors. Few molecular studies have also showed that strong PDL1 expression was seen in mutated tumors and weak expression among the wild type tumors (Messai et al., 2016). Some studies have been done in the VHL mutated ccRCC subjects. They showed the efficacy of PDL1 inhibitors in these subjects was due to the hypoxia inducible factor (HIFα) accumulation which is the effect of VHL inactivation. These reports suggest that PDL1 may be a favourable predictive biomarker for VHL mutated cases, metastatic RCCs, poor prognostic cases and targeted therapy failed cases (Rini et al., 2006).

In our study we did find that PD-L1 was differentially expressed in the same tumor-the higher the nuclear grade was, the more evident expression of PD-L1 was observed, suggesting that PD-L1 expression was possibly required to be evaluated in metastases in order to more accurately predict the therapeutic effect of immune checkpoint inhibitors (Topalian et al., 2012). It also explains the heterogenous nature of PDL1 as it expressed more in the aggressive pathologic characters like high grade. This gives us a valuable point that PDL1 can become a potential biomarker. At present, the clinical evaluation of tumor heterogeneity is a promising issue to improve clinical oncology. This intra-tumor heterogeneity (ITH) is very much related to cancer progression, resistance to therapy, and recurrences. This peculiar nature of the tumour is different for different patients (Stant et al., 2018).

The clonal ITH indicates the genomic instability that influences aggressiveness and treatment. The nonclonal ITH is functional, microenvironment related. Both the types influence each other. Intra-tumor heterogeneity analysis is the strategic method for identifying efficient treatments modalities. Every aspect of ITH should be considered as a mojor source of research information. Together with preclinical conditions of the biological materials and standardization of the analytical methods, the best treatment strategy can be designed for all RCCs. This ITH assessing genomic engineering method has already been used to study mechanisms of lung cancer cell resistance to EGFR inhibitors and to investigate on combined drug therapies (Beksac et al., 2017).

Research should be done analysing the association between the various risk factors of RCC and their immunhistochemical findings. It helps us to choose which patient might respond to which targeted therapy. Also assessing the heterogenous nature may bring about a revolution in the field of RCC treatment management. But it’s a vast field and needs a tremendous literature research before beginning such a correlation study which is our next field of interest.

One major limitation in this study was the lack of proper standardised immunohistochemical techniques for the assessment of PDL1. The difference in the staining methodologies as well as the usage of different antibodies for staining the tumor cells in various studies also prevented the assessment of their performance. Hence standardizing the staining procedure, choosing the antibody and the scoring technique is necessary before using PD-L1 as a predictive biomarker.

In conclusion, In this era of evolving targeted therapies and immunotargeted therapies for RCC, PDL1 as a novel biomarker was analysed in this study. The association of PDL1 with high graded RCCs was statistically significant. This suggests that blocking PD1/PDL1 pathway may be effective method in cancer immunotherapy. Hence targeted therapies for PDL1 like Nivolumab can be of potential therapeutic benefits in future. Further studies are needed in this field to prove that PDL1 can become an independent marker for prognosis of RCC.