Literature DB >> 33313223

Comparative expression analysis of PD-1, PD-L1, and CD8A in lung adenocarcinoma.

Ke Ma1, Yulei Qiao1, Hao Wang1, Shuai Wang1.   

Abstract

BACKGROUND: As a new strategy for advanced lung adenocarcinoma (LUAD), programmed cell death protein 1 (PD-1) pathway inhibitors have been used in clinic for several years. However, the roles of PD-1, programmed cell death-ligand 1 (PD-L1), and CD8A in LUAD are still unclear. In the study, we aimed to assess the correlation between the mRNA expression of these three factors and the clinical characteristics of LUAD, and to explore the influence of the PD-1/PD-L1/CD8A axis on the prognosis of LUAD.
METHODS: The mRNA expression data and clinical characteristics of LUAD patients were retrieved from The Cancer Genome Atlas (TCGA). The optimal cutoff value for PD-1, PD-L1, and CD8A was determined by Cutoff Finder. The chi-square test was used to compare categorical variables. The prognostic effects of variables were analyzed using the Kaplan---Meier method and the Cox proportional hazards model.
RESULTS: A total of 484 cases were enrolled in this study according to the selection process. The optimal cutoff values for identifying high/low mRNA expression were defined as 27.4 for PD-1, 29.41 for PD-L1, and 95.52 for CD8A. The high expression of PD-1 (P=0.015) and PD-L1 (P=0.027) was more frequent in women than in men. The high expression of PD-1 (P=0.003), PD-L1 (P=0.002), and CD8A (P=0.003) was associated with early T status, whereas CD8A showed a significantly higher expression in both the early stage (P=0.006) and early N stage groups (P=0.031). PD-1, PD-L1, and CD8A were significantly positively correlated among pairs (P<0.001). High expression of each of the three genes was associated with better prognosis (P=0.030 for PD-1, P=0.046 for PD-L1, P=0.019 for CD8A), although the relation did not reach statistical significance in the Cox regression hazards model.
CONCLUSIONS: The study defined a group of cutoff values for PD-1, PD-L1, and CD8A to identify high and low mRNA expression in LUAD. The high expression of PD-1, PD-L1, and CD8A was associated with early T status, and CD8A showed significantly higher expression in both early stage and early N stage groups. Although the high expression of each of these three genes was associated with favorable overall survival (OS), they were not independent prognostic factors. 2020 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  CD8; Lung cancer; overall survival (OS); programmed cell death protein 1 (PD-1); programmed cell death-ligand 1 (PD-L1)

Year:  2020        PMID: 33313223      PMCID: PMC7729328          DOI: 10.21037/atm-20-6486

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


Introduction

Lung cancer is the leading cause of death in men and the second leading cause of death in women worldwide, with 2.1 million new cases and 1.8 million deaths predicted in 2018 (1,2). Lung cancer survival is poor, and the 5-year overall survival (OS) for lung cancer has been between 7% and 18% in different countries over the last two decades (3). Non-small cell lung cancer (NSCLC) is a subgroup of lung cancer, and the major histologic type of NSCLC is lung adenocarcinoma (LUAD), which accounts for 40% of all lung cancers (4). Because of the lack of typical symptoms at early stages, most patients with lung cancer are diagnosed at a late stage (1). The benefits of surgical resection are limited in patients with metastatic NSCLC, and biotherapies such as targeted therapy and immunotherapy are regarded as first-line treatments for advanced NSCLC (5). Immunotherapy is short for immune checkpoint therapy, which consists of the inhibition of immune checkpoint proteins to reduce the effect of the tumor microenvironment and suppress host antitumor immunity (6). The programmed cell death protein 1 (PD-1)/programmed cell death-ligand 1 (PD-L1) pathway is one of the main targets of cancer immunotherapy. The PD-1 pathway is associated with tumor immune escape, and the overexpression of PD-1 is detected in many tumors including those of melanoma, renal cell carcinoma, breast cancer, and NSCLC (7-10). PD-1 is detected at high levels in elements of the tumor microenvironment such as in tumor-infiltrating lymphocytes (TILs), and the ligands of PD-1, especially PD-L1, may be induced by PD-1 during the exhaustion of TILs on tumor cells (11,12). Overexpression of PD-1 and its ligand inhibit T cell activation and result in adaptive immune resistance. Although PD-1 pathway inhibitors such as nivolumab and pembrolizumab are generally used in antitumor strategies including the treatment of advanced LUAD, the roles of PD-1 pathway-related factors in the LUAD tumor microenvironment remain unclear (13,14). In clinical trials of pembrolizumab for the treatment of NSCLC, PD-L1 expression was not identified as a predictive factor for discriminating responders from non-responders, and other factors from the tumor microenvironment may affect the prognosis of patients receiving PD-1 pathway immunotherapy (15). As members of TILs, CD8-positive cytolytic T cells (CD8+ CTLs) are recruited during tumor immune responses and play a crucial role in immunotherapy, and the genetic expression of CD8A may be a measurable indicator of immune cell infiltration (16). A previous study for pan-cancer have shown that high expression of PD-L1 with high status of CD8A might be a good predictive factor for the response to anti-PD-1/PD-L1 therapy (17). The Cancer Genome Atlas (TCGA) is a database of human tumors established through large-scale genome sequencing. The mRNA expression levels of target genes and clinical factors, and the prognosis of patients are recorded in this large, publicly available database (18). Previous studies have revealed microenvironment according to PD-1 pathway in LUAD, however exact values for defining expression situation were still limited. In this study, we first investigated the optimal cutoff value for identifying CD8A, PD-1, and PD-L1 high or low expression, and analyzed the relationship between the mRNA expression levels of these three biomarkers of the PD-1 pathway and the clinical factors of LUAD based on a large data derived from TCGA database. We present the following article in accordance with the REMARK reporting checklist (available at http://dx.doi.org/10.21037/atm-20-6486).

Methods

Study population

In this study, we used level 3 data derived from TCGA database (https://cancergenome.nih.gov/), which is freely available to the public. Clinical information and mRNA expression data of LUAD patients obtained by RNA-sequencing of TCGA tumor samples were downloaded for analysis. Clinical information included diagnosis, age, sex, primary site of tumor, tumor stage, tumor-mutation-node (TMN) status, vital status, and OS rates. Cases lacking PD-1, PD-L1, or CD8A mRNA expression data were excluded. Finally, 484 cases were enrolled in the study. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).

Characteristics of patients

For further analyses, some variables were divided into sub-groups. Based on the optimal cutoff value, the expression of PD-1, PD-L1, and CD8A was classified as high expression or low expression. Patients aged <65 years were included in the younger patient group and those aged ≥65 years were included in the elderly patient group. Regarding TNM stage, as defined by the seventh edition of the American Joint Committee on Cancer, only T1, T1a, and T1b were defined as early T stage, whereas T2, T3, and T4 were defined as advanced T stage. Patients with N0 stage were included in the lymph node-negative group, and those with N1, N2, or N3 stage were included in the lymph node-positive group. M0 stage was classified into a non-metastatic group, whereas other M stages were classified into a distant-metastasis group. Regarding clinical stage, stage I was considered as early stage, whereas stages higher than stage I were considered as advanced stage.

Statistical analyses

The optimal cutoff values for PD-1, PD-L1, and CD8A were determined by Cutoff Finder, which is an R software engineered, web-based system designed by Budczies et al. (http://molpath.charite.de/cutoff/) (19). The chi-square or Fisher’s exact test was used to compare categorical variables, and the results are expressed as numbers and percentages of patients. Survival curves for each variable were evaluated using the Kaplan-Meier method and compared using the log-rank test. A logistic regression model was used to identify risk factors in univariate analysis. Variables in the univariate analysis with a significance of probability (P) value <0.05 were included in the multivariate analysis using the Cox proportional hazards regression model. All statistical analyses were performed using basic and the survival package of R 3.5.0 (http://www.r-project.org). A P value <0.05 was considered to have statistical significance.

Results

Patient characteristics

A total of 484 cases were enrolled in the current study according to the selection process. The median age was 66 years (range, 38–88 years), and most of the patients were elderly (n=265, 54.8%) and women (n=258, 53.3%). Most of the patients had advanced T stage (n=320, 66.1%). The majority of cases had no record of nodal metastasis (n=313, 64.7%), or distant metastasis (n=323, 66.7%). The median follow-up time was 22.34 months (range, 2.04–238.11 months). The baseline characteristics of the 484 patients included are shown in .
Table 1

Baseline characteristics and gene expression distribution for all cases and survival for univariable analysis

CharacteristicsCases (N)Proportion (%)5-year OS (months, 95% CI)P* value
Total48410040.9 (34.5–48.6)
Age0.454
   <6520944.144.0 (34.4–56.2)
   ≥6526555.935.4 (26.9–46.6)
Sex0.784
   Male25853.345.3 (36.4–56.4)
   Female22646.736.6 (27.9–48.0)
T0.002
   T116133.553.6 (41.7–68.8)
   T2 + T3 + T432066.535.5 (28.1–44.7)
N<0.001
   N031366.252.7 (44.3–62.7)
   N1+N2+N316037.821.5 (13.7–33.8)
M0.007
   M032393.441.5 (34.0–50.7)
   M1236.611.7 (20.3–67.9)
Stage<0.001
   I26054.555.2 (46.2–65.9)
   II + III + IV21745.522.2 (14.5–33.9)
Laterality0.844
   Left19040.439.0 (29.4–51.8)
   Right28059.641.7 (33.3–52.1)
PD-10.030
   Low10321.333.1 (22.4–48.9)
   High38178.743.2 (35.7–52.4)
PD-L10.046
   Low12926.732.5 (22.2–47.5)
   High35573.344.2 (36.5–53.6)
CD8A0.019
   Low7916.318.6 (8.8–39.5)
   High40583.745.8 (38.7–54.2)

*, P value for log-rank test for Kaplan-Meier survival curve. OS, overall survival; CI, confidence interval; PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1.

*, P value for log-rank test for Kaplan-Meier survival curve. OS, overall survival; CI, confidence interval; PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1.

Definition of cutoff values for CD8A, PD-1, and PD-L1

The median mRNA expression values for CD8A, PD-1, and PD-L1 were 245.23, 60.48, and 55.27, respectively. The biostatistical tool Cutoff Finder was used to identify a range of cutoff values for CD8A, PD-1, and PD-L1. The optimal cutoff values for assessing OS were 95.52 for CD8A, 27.4 for PD-1, and 29.41 for PD-L1 (). The cutoff value for each gene was used to divide cases into high and low expression groups according to whether the gene expression level was higher or lower than the cutoff point. The distribution of cases for each gene in the high and low expression groups is shown in .
Figure 1

The optimal cutoff values of PD-1 (A), PD-L1 (B), and CD8A (C) expression for assessing overall survival in lung adenocarcinoma. PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1.

The optimal cutoff values of PD-1 (A), PD-L1 (B), and CD8A (C) expression for assessing overall survival in lung adenocarcinoma. PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1.

Correlation of PD-1 pathway expression and clinical factors

The clinical factors of cases according to the high and low expression of each gene are shown in . The results of the chi-square test suggested that women had a significantly higher rate of high expression of PD-1 (P=0.015) and PD-L1 (P=0.027), whereas the high expression of the three genes was significantly associated with early T stage (P=0.003 for PD-1, P=0.002 for PD-L1, and P=0.003 for CD8A). CD8A showed a statistically significantly higher expression in the lymph node–negative (P=0.031) group and in the early clinical stage group (P=0.006).
Table 2

Clinical factors of patients stratified by expression level of PD-1, PD-L1, and CD8A

CharacteristicsPD-1PD-L1CD8A
Low, n (%)High, n (%)P* valueLow, n (%)High, n (%)P* valueLow, n (%)High, n (%)P* value
Age0.2170.1440.880
   <6550 (23.9)159 (76.1)63 (30.1)146 (69.9)35 (16.7)174 (83.3)
   ≥6551 (19.2)214 (80.8)64 (24.2)201 (75.8)43 (16.2)222 (83.8)
Sex0.0150.0270.978
   Male59 (26.1)167 (73.9)71 (31.4)155 (68.6)37 (16.4)189 (83.6)
   Female44 (17.1)214 (82.9)58 (22.5)200 (77.5)42 (16.3)216 (83.7)
T0.0030.0020.003
   T122 (13.7)139 (86.3)29 (18.0)132 (82.0)15 (9.3)146 (90.7)
   T2 + T3 + T481 (25.3)239 (74.7)99 (30.9)221 (69.1)64 (20.0)256 (80.0)
N0.7240.6010.031
   N066 (21.1)247 (78.9)81 (25.9)232 (74.1)44 (14.1)269 (85.9)
   N1 + N2 + N336 (22.5)124 (77.5)45 (28.1)115 (71.9)35 (21.9)125 (78.1)
M0.9780.2340.271
   M071 (22.0)252 (78.0)89 (27.6)234 (72.4)55 (17.0)268 (83.0)
   M15 (21.7)18 (78.3)9 (39.1)14 (60.9)6 (26.1)17 (73.9)
Stage0.2090.0690.006
   I50 (19.2)210 (80.8)61 (23.5)199 (76.5)32 (12.3)228 (87.7)
   II + III + IV52 (24.0)165 (76.0)67 (30.9)150 (69.1)47 (21.7)170 (78.3)
Laterality0.3790.1910.744
   Left43 (22.6)147 (77.4)44 (23.2)146 (76.8)32 (16.8)158 (83.2)
   Right54 (19.3)226 (80.7)80 (28.6)200 (71.4)44 (15.7)236 (84.3)

*, P value for chi-square test. PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1.

*, P value for chi-square test. PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1. The expression of these three genes in patients was positively correlated which shown in . Cases in the PD-1 high expression group also had high PD-L1 (P<0.001) and CD8A (P<0.001) expression, and similar results were obtained in the PD-L1 and CD8A expression analysis (P<0.001).
Table 3

The correlations of genetic expression for each pair of PD-1/PD-L1/CD8A

GenesPD-1PD-L1
Low, n (%)High, n (%)P* valueLow, n (%)High, n (%)P* value
PD-L1<0.001
   Low67 (51.9)62 (48.1)
   High36 (10.1)319 (89.9)
CD8A<0.001<0.001
   Low41 (51.9)38 (48.1)55 (69.6)24 (30.4)
   High62 (15.3)343 (84.7)74 (18.3)331 (81.7)

*, P value for chi-square test.

*, P value for chi-square test.

Survival analysis

In the 484 cases included in the study, the 5-year OS rate was 40.9% (34.5–48.6%, 95% CI), and the OS curve is shown in . The results of Kaplan-Meier analysis and the log-rank test showed no statistically significant association between survival and age (P=0.454) and sex (P=0.784). However, advanced T stage (P=0.002), lymph-node positivity (P<0.001), distant metastasis (P=0.007), and advanced total stage (P<0.001) were associated with a significantly worse prognosis. In addition, tumor laterality was not a risk factor for LUAC (P=0.844). Assessment of the expression of PD pathway components showed that cases with high expression of PD-1 had a more favorable survival (P=0.030, ). High expression of PD-L1 (P=0.046, ) or CD8A (P=0.019, ) was also associated with better prognosis. All risk factors detected by the Kaplan-Meier method and log-rank test were applied to multivariable analysis. Clinical stage was excluded from multivariable analysis to avoid repetition of stage statistics. The results of the Cox regression hazards model are shown in , indicating that T stage (P=0.045) and N stage (P<0.001) remained statistically significant, whereas PD-1 (P=0.266), PD-L1 (P=0.740), and CD8A (P=0.193) were not independent risk factors for LUAD.
Figure 2

The overall survival of patients with lung adenocarcinoma in the study (A), according to the expression of PD-1 (B), PD-L1 (C), and CD8A (D). PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1.

Table 4

Cox proportional hazards regression analysis for LUAD patients

VariablesHazard ratio95% confidence intervalP value
T0.045
   T1Reference
   T2 + T3 + T41.6091.011–2.561
N<0.001
   N0Reference1.779–3.610
   N1 + N2 + N32.534
M0.113
   M0Reference
   M11.6240.891–2.960
PD-10.266
   LowReference
   High0.7800.503–1.208
PD-L10.740
   LowReference
   High1.0790.688–1.692
CD8A0.193
   LowReference
   High0.7310.456–1.172

LUAD, lung adenocarcinoma; PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1.

The overall survival of patients with lung adenocarcinoma in the study (A), according to the expression of PD-1 (B), PD-L1 (C), and CD8A (D). PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1. LUAD, lung adenocarcinoma; PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1.

Discussion

PD-1 is a 288 amino-acid transmembrane protein that was identified in 1992 (20). PD-1 is expressed not only in mature T cells, but also in double-negative T cells, natural killer T cells, and B cells at low levels (21,22). PD-1 is downregulated by T cell antigen receptor and cytokine receptors during activation of naïve T cells (23). PD-1 has two types of ligand, and the main one is PD-L1, a transmembrane glycoprotein (24). PD-L1 is expressed in antigen-presenting cells such as dendritic cells, and in organs including the spleen, lung, heart, and liver (20). The PD-1 pathway plays an important role in the immune system by delivering a negative co-stimulatory signal to the activation of T cells when PD-1 is bound to a ligand such as PD-L1 (25). Under normal physiological conditions, the PD-1 pathway is a critical factor for immune responses, and it induces self-tolerance in peripheral organs such as the placenta, testes, and eyes (26). However, in the tumor microenvironment, the PD-1 pathway contributes to immune tolerance and evasion of host immunity by downregulating antitumor T-cell responses and providing protection from immune destruction (27). Immune checkpoint inhibitors targeting PD-1 and PD-L1 have improved the survival of patients with advanced LUAD both in the second-line and first-line settings (28-30). However, there are few studies focusing on the relationship between PD-1 pathway expression at the genetic level and the clinicopathological factors of LUAD. It would be important to determine the value of the expression of these genes as a prognostic factor in patients with LUAD. Furthermore, the cut-off values used to define the expression of PD-1 pathway genes are inconsistent, which may contribute to the heterogeneity of grouping criteria in PD-1 immunotherapy. Previous studies have demonstrated that prognosis of LUAD were associated with a number of factors such as TNM stage, historical types or gene mutations (31,32). In this research, we defined the prognostic cutoff values for the expression of PD-1, PD-L1, and CD8A. Based on these cutoff values, we demonstrated that PD-1 high expression was a favorable prognostic factor in patients with LUAD; however, it was not an independent factor for OS. There is limited data on the prognostic and/or predictive value of PD-1 expression, and few studies have investigated the association of PD-1 protein expression with the outcomes of patients with LUAD. A study including 536 patients with completely resected NSCLC showed that PD-1 protein expression assessed using immunohistochemistry was significantly associated with disease-specific survival, which was in line with our results (33). However, no significant differences in disease-specific survival were observed in the adenocarcinoma subgroup. In another study including 321 cases of NSCLC, multivariate analyses in the adenocarcinoma subgroup identified PD-1 expression as an independent favorable prognostic factor (34). A recent study based on 161 patients also showed that PD-1 expression at the protein level was associated with better prognosis in patients with resected LUAD (35). This result could be related to the fact that PD-1 expression is more frequently detected in TILs, and a high positive rate of TILs in the tumor microenvironment leads to better survival rates (36). Analysis of the prognostic significance of PD-L1 gene expression in LUAD showed that patients with high expression of PD-L1 were more likely to have a longer OS. The prognostic significance of PD-L1 remains controversial, and several studies have reported conflicting results. A large study including 340 NSCLC patients that assessed PD-L1 expression at both the protein and gene levels reported that PD-L1 expression is associated with increased local lymphocytic infiltrates and increased OS (37), which is consistent with the present results. A large study using immunohistochemistry to analyze PD-L1 expression in 678 stage I–III NSCLC cases reported that patients with high PD-L1 expression had significantly longer OS than those with low PD-L1 expression in the univariate analysis, and high PD-L1 expression was confirmed as a significant predictor of improved OS in the multivariable analysis (38). Another study that evaluated 321 NSCLC cases showed that PD-L1 protein expression was a favorable factor for lung squamous cell carcinoma but not for LUAD (34). In addition, high PD-L1 expression was reported as a favorable prognostic factor in small cell lung carcinomas, breast carcinoma, colorectal adenocarcinoma, gastric cancer, and melanoma (39-43). However, several studies suggested a negative prognostic value for high PD-L1 expression in LUAD (44,45), whereas others did not find a prognostic impact (46,47). In the present study, correlation analysis showed that the expression of the PD-1 and PD-L1 genes was positively associated with CD8A expression, which may explain why high expression of PD-1 or PD-L1 was a favorable prognostic factor. CD8A expression can be detected in natural killer cells and dendritic cells, although CD8A is predominantly expressed on the surface of cytotoxic T-cells (48). CD8-positive cytolytic T cells (CD8+ CTLs) play a crucial role in the cellular immune system and cell-mediated immune responses (49). Strong lymphocytic infiltration is associated with a better clinical outcome in many types of malignant tumors (50). Our results showed that high CD8A expression was associated with longer OS, which is in line with previous studies. Current evidence suggests that the relationship between PD-1/PD-L1 expression and CD8+ CTLs is complex. A mechanistic study of melanoma revealed that PD-L1 upregulation in the tumor microenvironment may depend on the presence of CD8+ CTLs (51). Another recent study in lung cancer showed a significant correlation between PD-L1 positivity and CD8+ CTLs, and cases with PD-L1 overexpression showed consistently dense CD8+ TILs, even in LUAD subgroup analyses (52). However, most studies suggest that the high expression of PD-1 and PD-L1 impairs the function of CD8+ CTLs in the tumor microenvironment, and a longer OS is more likely in the PD-L1 low and CD8 high expression groups of NSCLC (53,54). The present study had several limitations. First, this was a retrospective study and is likely to have some selection bias. The cutoff values for PD-1, PD-L1, and CD8A expression require external validation, as the ability to predict high and low expression should be clinically validated. Finally, we did not assess the relationship between PD-1, PD-L1, and CD8A expression and the therapeutic strategies for patients with LUAD, as treatment data are not provided by TCGA. In conclusion, to differentiate high from low mRNA expression, we analyzed TCGA data of LUAD patients and defined the cutoff values of PD-1, PD-L1, and CD8A expression as 27.4, 29.41, and 95.52 respectively. A high expression of PD-1 and PD-L1 was more frequently observed in women. A high expression of PD-1, PD-L1, and CD8A was associated with early T status, and CD8A showed a significantly higher expression in both early stage and early N stage groups. PD-1, PD-L1, and CD8A were significantly positively correlated in all pairs. Although the high expression of each of these three genes was associated with favorable OS, they were not independent prognostic factors. The article’s supplementary files as
  54 in total

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Journal:  Onco Targets Ther       Date:  2014-04-12       Impact factor: 4.147

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