Literature DB >> 26313362

PD-1 and PD-L1 Expression in NSCLC Indicate a Favorable Prognosis in Defined Subgroups.

Lars Henning Schmidt1, Andreas Kümmel2, Dennis Görlich3, Michael Mohr1, Sebastian Bröckling1, Jan Henrik Mikesch1, Inga Grünewald4, Alessandro Marra5, Anne M Schultheis6, Eva Wardelmann4, Carsten Müller-Tidow7, Tilmann Spieker8, Christoph Schliemann1, Wolfgang E Berdel1, Rainer Wiewrodt1, Wolfgang Hartmann4.   

Abstract

BACKGROUND: Immunotherapy can become a crucial therapeutic option to improve prognosis for lung cancer patients. First clinical trials with therapies targeting the programmed cell death receptor PD-1 and its ligand PD-L1 have shown promising results in several solid tumors. However, in lung cancer the diagnostic, prognostic and predictive value of these immunologic factors remains unclear.
METHOD: The impact of both factors was evaluated in a study collective of 321 clinically well-annotated patients with non-small lung cancer (NSCLC) using immunohistochemistry.
RESULTS: PD-1 expression by tumor infiltrating lymphocytes (TILs) was found in 22%, whereas tumor cell associated PD-L1 expression was observed in 24% of the NSCLC tumors. In Fisher's exact test a positive correlation was found for PD-L1 and Bcl-xl protein expression (p = 0.013). Interestingly, PD-L1 expression on tumor cells was associated with improved overall survival in pulmonary squamous cell carcinomas (SCC, p = 0.042, log rank test), with adjuvant therapy (p = 0.017), with increased tumor size (pT2-4, p = 0.039) and with positive lymph node status (pN1-3, p = 0.010). These observations were confirmed by multivariate cox regression models.
CONCLUSION: One major finding of our study is the identification of a prognostic implication of PD-L1 in subsets of NSCLC patients with pulmonary SCC, with increased tumor size, with a positive lymph node status and NSCLC patients who received adjuvant therapies. This study provides first data for immune-context related risk stratification of NSCLC patients. Further studies are necessary both to confirm this observation and to evaluate the predictive value of PD-1 and PD-L1 in NSCLC in the context of PD-1 inhibition.

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Year:  2015        PMID: 26313362      PMCID: PMC4552388          DOI: 10.1371/journal.pone.0136023

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Lung cancer remains one of the most common and one of the most lethal cancers worldwide [1]. Throughout the last decade distinct molecular factors were identified as driving tumor growth and spread and/or as being prognostic in non-small cell lung cancer (NSCLC). Several attempts followed to specifically target these factors and thereby influence the clinical course of disease. Molecular based therapies targeting epidermal growth factor receptor (EGFR) mutants [2,3] or ALK rearrangements [4] were shown to improve the outcome within well-defined subgroups of non-squamous cell carcinoma patients. So far, only for a minority of all patients, targetable genetic alterations have been identified. NSCLC patients with progressive disease and without targetable alterations are treated with traditional chemotherapies. The majority of them suffers from chemotherapy-associated toxicities and poor overall survival due to chemotherapy resistance. The recognition of cancer by the immune system and mechanisms of cancer to escape the immune control are areas of increasing research interest. To enlarge our therapeutic armamentarium, new potent antigens need to be identified. In the future, novel and modified immunotherapeutic concepts might improve cancer cell recognition for effective tumor control. Although an increased CD4+/CD8+ cell infiltration of the tumor stroma has previously been shown to represent a favorable prognostic factor in NSCLC [5], ineffective therapeutic approaches with IL-2 [6] and interferon [7] have led to the conclusion that NSCLC is non-immunogenic. Recent gains of information in the field of tumor immunology include identification of key regulators of immune responses with broad impact on natural and therapeutic antitumor immune responses. The best-characterized immunological checkpoints with a major impact on both cancer growth and cancer therapy are cytotoxic T-lymphocyte antigen 4 (CTLA-4) and programmed death receptor 1 (PD-1) and their respective ligands. Both receptors (i.e. CTLA-4 and PD-1) inhibit T cell activation through distinct and potentially synergistic mechanisms. While CTLA-4 fails to downregulate the survival gene Bcl-xl, PD-1 engagement is suggested to induce T cell apoptosis [8]. The PD-1 receptor is expressed by CD4+ and CD8+ lymphocytes, regulatory T cells (Tregs) and B lymphocytes [9]. Upregulation of PD-1 modulates peritumoral inflammatory processes [10]. Consequently, binding of PD-1 by the two major ligands PD-L1 (CD274) or PD-L2 (CD 273) inhibits cytokine production. Inflammatory cytokines are reported to induce PD-L1 expression in tumor cells. PD-L1 interacts with PD-1 on T cells and downregulates T cell effector functions. This mechanism can enable cancer cells to evade host immune surveillance. Indeed, in several tumor types, increased PD-1 levels were found in tumor infiltrating lymphocytes (TILs) [11]. Besides adaptive PD-L1 upregulation in an inflammatory cytokine milieu, tumors can have innate potential to inactivate PD-1 by oncogene driven PD-L1 tumor expression [12]. Antibodies against the PD-1-pathway have been successfully applied to reverse T cell tolerance of malignant cells and induce tumor regression [12]. In first clinical studies, anti-PD-1 antibodies have shown activity in some NSCLC patients [13]. While these antibodies are undergoing clinical evaluation in lung cancer and other malignancies, the concrete biological significance of PD-1 and PD-L1 expression in cancer remains unclear. PD-L1-positivity was found to be associated with an inflammatory tumor microenvironment in lung cancers with squamous cell carcinoma [14] or adenocarcinoma histology [15]. Recently, one study revealed high PD-L1 expression by tumor cells to predict complete response as evaluated by histopathology to pre-operative chemotherapy in breast cancer [16]. In the context of the emerging PD-1 pathway inhibitors, the particular characteristics of patients with expected therapeutic response to these agents still need to be defined. The present study aims at the evaluation of the prognostic significance of PD-1 expression in TILs and PD-L1 expression in NSCLC tumor cells in a large study collective of NSCLC using immunohistochemistry, with a particular emphasis on clinicopathological parameters.

Methods

Study population

Clinical follow up information and sufficient tumor material of 321 curatively resected NSCLC patients (median age: 66 years) from the Thoracic Departments in Ostercappeln, Germany (study collective I; n = 265 NSCLC tissue samples) and Mainz, Germany (study collective II; n = 56 NSCLC tissue samples) were collected. Approval of the study by the Ethical committee of Münster and Mainz were obtained for the collection of paraffin embedded tissue samples for biomarker testing. Due to the retrospective, anonymized character of the analysis, written consent was not required. Clinical TNM staging (including clinical examination, CT scans, sonography, endoscopy, MRI, bone scan) was based on IUCC/AJCC recommendations. Patients with stage IV, R1 or R2 resection status or with non-specified tumor histology (e.g. NSCLC not otherwise specified) were excluded from our analysis. In terms of definite tumor staging, pathological exploration was carried out post-surgically. Primary pulmonary lesions were pathologically classified based on the WHO 2004 guidelines; 149 specimens were classified as squamous cell carcinoma, 125 as adenocarcinoma and 47 as large cell carcinoma. Regular follow-up was performed for all patients, including systemic re-staging after 3, 6, 12, 18, 24, 36, 48 etc. months or earlier, if clinically required. Survival time was either computed from the date of histological diagnosis to death or to the date of last contact. Baseline information of the NSCLC population is shown in .
Table 1

Baseline characteristics of the study population (n = 321).

Parametern% of non-missing values
Sex Male sex25178
Female sex7022
Smoking status Non-smoker6120
Smoker or ex-smoker25281
Performance status ECOG 05919
ECOG I23576
ECOG >II165
Adjuvant therapy Adjuvant chemotherapy83
Adjuvant radiotherapy3812
Tumor stage Stage I18758
Stage II8326
Stage III5116
Tumor size pT19931
pT219260
pT3196
pT4113
Lymph nodes status pN020263
pN1-311737
Tumor histology Squamous cell carcinoma14946
Adenocarcinoma12539
Large cell carcinoma4715
Tumor grading G152
G211135
G3-419963
Apoptosis Negative Bcl-2 expression23176
Positive Bcl-2 expression7424
Negative Bcl-xl expression19666
Positive Bcl-xl expression10134
EGFR mutation status No EGFR mutation2279
EGFR mutation621
Proliferation (ki-67) Negative ki-67 expression7724
Positive ki-67 expression24476
PD-1 expression in tumor Infiltrating lymphocytes (TILs) negative lymphocytic expression24978
negative lymphocytic expression7222
PD-L1 expression in NSCLC negative tumor expression24476
positive tumor expression7724

Immunohistochemistry

Tissue microarrays were generated from formalin-fixed, paraffin-embedded tissue specimens (FFPE). In detail, three biopsy needle cores (core diameter at least 0.6 mm) of each tumor carefully selected to appropriately represent potential tumor heterogeneity were transferred to a recipient paraffin block as described [17]. For immunohistochemical analyses TMA slides were steam heated for 30 minutes in pH 6 citrate buffers, and subsequent immunostaining was performed with a 25 min incubation period of the primary antibody (DakoAutostainer, Denmark). The following primary monoclonal antibodies were applied: PD-1 (Abcam, ab 52587, mouse IgG1, clone NAT 105, 1:50), PD-L1 (Cell Signaling Technology, #13684 clone E1L3N, rabbit IgG1, 1:500), Bcl-2 (Santa Cruz Biotechnology, clone 100, mouse IgG1, 1:100) [18], Bcl-xl (Santa Cruz Biotechnology, clone H-5, epitope: C-terminus, mouse IgG1, 1:1000) [18], and ki-67 (Dako, M7240, clone MIB-1, mouse IgG1, 1:100). Immunoreaction was visualized with a biotinylated secondary antibody (LSAB/AP, #K5005 Dako) including the Red chromogen, according to the manufacturer. Finally, TMAs were counterstained with hematoxylin and covered with Cytoseal (Thermo Scientific, USA). Tonsillar tissue was employed as control for PD-1, PD-L1, Bcl-2 and ki-67 stainings, colon cancer tissue was used for the Bcl-xl. In accordance with previously published approaches in the field [19], the percentages of PD-1 positive lymphocytes and PD-L1 positive tumor cells were assessed using a semiquantitative score considering 0 as negative, 1 as weak, 2 as moderate and 3 as high. Tumors were evaluated as PD-L1 positive if ≥ 5% of the tumor cells displayed at least moderate staining. The tumor was evaluated as PD-1 positive if ≥ 5% of the lymphocytes displayed PD-1 staining. As described in Schmidt et al., Bcl-2 [18], Bcl-xl [18] and ki-67 were evaluated according to Remmele’s Immunoreactive Score (IRS range, 1–12, [20]). Here, cases were considered as positive if IRS was greater than or equal to 3. Analysis of TMA slides was performed by at least two independent investigators (L.H.S, T.S. and W.H.).

EGFR analysis

The full protocol for EGFR analysis was previously published by Schmidt et al. [18]. In brief, DNA was extracted from FFPE tumor tissues and analyzed for EGFR mutations by Sanger sequencing. The EGFR status of each patient’s tumor was assessed from the individual status of all mutation types and recorded as one of the following: positive (mutation detected for at least one of the mutation types assayed), negative (no mutation detected in any of the mutation types assayed), or undetermined/ unknown (a positive or negative result could not be determined as per laboratory assessment).

Statistical Analysis

The study population was described by standard descriptive statistical measures. For categorical variables, absolute and relative frequencies are reported. For continuous variables median and interquartile range (IQR) are reported, respectively. Association of clinico-pathological parameters with PD-1 and PD-L1 expression was tested using two-sided Fisher’s exact test. Univariate overall survival analysis was performed using the Kaplan-Meier method and log rank tests. A multivariable Cox proportional hazards model was fitted using a forward step-wise variable selection (inclusion criteria: p-value of the likelihood ratio test ≤0.05) to identify independent prognostic factors for overall survival. We considered potential prognostic factors that are tolerably complete (less than ten missing values, and with at least ten cases), to prevent statistical problems emerging from low sample size and extreme values. Patients with missing values in the cofactors were excluded from the analysis. All statistical tests were performed as exploratory analyses on a local significance level of 0.05. Since multiplicity adjustment was not carried out, no distinct overall significance level was ascertained. Hence, our findings may be used to set up new hypotheses. SPSS (SPSS Statistics, Version 22.0 released 2013, IBM Corp., Armonk, NY) was used for all statistical analyses.

Results

The characteristics of the 321 NSCLC patients are summarized in . Due to tissue loss immunohistochemical evaluation was not feasible in 16 cases for Bcl-2 and in 24 cases for Bcl-xl. Positive PD-1 protein expression was found in 72 cases (22%) in tumor infiltrating lymphocytes (TILs). demonstrates representative immunohistochemical staining patterns for normal lung tissue ( ), for control tonsillar tissue ( ) and for NSCLC ( ). PD-L1 was expressed by 24% of the NSCLC samples. Representative immunohistochemical staining patterns are given in ( : normal lung tissue, : control tonsillar tissue, : NSCLC). Tumor cells displayed a cytoplasmic staining pattern for PD-L1 ( ). Tumors with a PD-1 positive lymphocytic infiltrate displayed synchronous PD-L1 expression in 17 cases (5%). In case of heterogeneity with regard to the infiltrating PD-1 positive TIL population or PD-L1 positive tumor cells the fraction of positive lymphocytes/tumor cells was referred to the whole tumor tissue as represented by the selected tissue cores. Of interest, PD-1 positive TILs were rarely observed within the epithelial tumor cell formations, but rather within the tumor stroma, independent from PD-L1 expression status. Beyond PD-1 and PD-L1, immunohistochemical information for Bcl-2, Bcl-xl, ki-67 and EGFR mutation were available for the study collective [18]: 74 tumors (24%) involved in the study collective expressed Bcl-2, 101 tumors (34%) expressed Bcl-xl and EGFR mutations (positive, either at position 18, 19 or 21) were found for 6 patients (21%; ). Of interest 16 samples (5%) concomitantly had PD1 expressing TILs and displayed PDL1 in the tumor cells.
Fig 1

Representative immunohistochemical staining results for PD-1 (A: normal lung tissue, negative control; B: tonsillar tissue, positive control; C: PD-1-negative tumor infiltrating lymphocytes; D: PD-1-positive tumor infiltrating lymphocytes in squamous cell carcinomas) and for PD-L1 (E: normal lung tissue, negative control; F: tonsillar tissue, positive control; G: PD-L1 negative squamous cell carcinomas; H: PD-L1 positive squamous cell carcinomas).

All images at x20, inlay x40.

Representative immunohistochemical staining results for PD-1 (A: normal lung tissue, negative control; B: tonsillar tissue, positive control; C: PD-1-negative tumor infiltrating lymphocytes; D: PD-1-positive tumor infiltrating lymphocytes in squamous cell carcinomas) and for PD-L1 (E: normal lung tissue, negative control; F: tonsillar tissue, positive control; G: PD-L1 negative squamous cell carcinomas; H: PD-L1 positive squamous cell carcinomas).

All images at x20, inlay x40.

Clinicopathologic correlations

A positive correlation for PD-L1 tumor expression in NSCLC cells was found with Bcl-xl expression (p = 0.013). While 18% of Bcl-xl negative tissue samples expressed PD-L1, expression rate was 32% in Bcl-xl positive NSCLC samples. Besides this observed correlation, we did not find any other association for any of the other tested parameters (all p>0.05; ).
Table 2

Associations of clinicopathological variables with PD-1 (in TILs) or PD-L1 (in NSCLC cells).

VariablesPD-1 (+) in TILs p-value* n (%)PD-L1 (+) in NSCLC p-value* n (%)
Age p-value0.8870.580
<70 years47 (22%)49 (23%)
≥70 years25 (23%)28 (26%)
Sex p-value0.2600.637
Male sex60 (24%)62 (25%)
Female sex12 (17%)15 (21%)
Smoking status p-value0.3840.315
Non-smoker10 (16%)18 (30%)
Smoker or ex-smoker57 (23%)57 (23%)
Performance status p-value0.1200.867
ECOG 018 (31%)15 (25%)
ECOG ≥152 (21%)61 (24%)
Adjuvant therapy p-value0.8490.712
No adjuvant therapy61 (22%)65 (24%)
Adjuvant therapy11 (24%)12 (26%)
Tumor stage p-value0.4980.508
Stage I39 (21%)42 (23%)
Stage ≥1I33 (25%)35 (26%)
Tumor size p-value0.6640.481
pT124 (24%)21 (21%)
pT2-448 (22%)56 (25%)
Lymph nodes status p-value0.4890.892
pN043 (21%)48 (24%)
pN1-329 (25%)29 (25%)
Tumor histology p-value0.5050.089
Squamous cell carcinoma36 (21%)48 (28%)
Non squamous cell carcinoma36 (24%)29 (20%)
Tumor grading p-value1.0000.786
< G225 (22%)29 (25%)
≥ G244 (22%)47 (24%)
Apoptosis p-value0.5230.162
Negative Bcl-2 expression50 (22%)52 (23%)
Positive Bcl-2 expression19 (26%)23 (31%)
p-value0.4640.013
Negative Bcl-xl expression41 (21%)36 (18%)
Positive Bcl-xl expression25 (25%)32 (32%)
EGFR mutation status p-value0.2881.000
No EGFR mutation7 (32%)8 (36%)
EGFR mutation02 (33%)
Proliferation (ki-67) p-value0.7560.287
Negative ki-67 expression16 (21%)22 (29%)
Positive ki-67 expression56 (23%)55 (23%)
PD-1 expression in tumor Infiltrating lymphocytes (TILs) p-value1.000
negative lymphocytic expression60 (24%)
negative lymphocytic expression17 (24%)
PD-L1 expression in NSCLC p-value1.000
negative tumor expression55 (23%)
positive tumor expression17 (22%)

*p values according to Fisher’s exact test.

*p values according to Fisher’s exact test.

PD-L1 expression indicates improved prognosis in NSCLC subgroups

For the tested factors PD-1 and PD-L1 univariate Kaplan–Meier estimates for the full study collective did not demonstrate any significant effect on overall survival (OS). The p-values of the Log rank test are displayed for both, PD-1 (in TILs) and PDL1 (in NSCLC tumor cells) in and in ( : p-value for PD-1 in TILs = 0.421; : p-value for PD-L1 in NSCLC tumor cells = 0.265). Likewise concomitant expression of both factors did not show any relevant prognostic effect in the entire study cohort (p = 0.322; ) as well as in subgroup analysis regarding all other tested parameters (data not shown).
Table 3

Univariate Log-rank test results for the association of PD-1 (in TILs) or PD-L1 (in NSCLC cells) with overall survival for defined subgroups.

SubgroupsPD-1 (+) in TILs p-value* PD-L1 (+) in NSCLC p-value*
All 0.4210.265
Age <70 years0.7790.0540.2040.768
≥70 years0.7790.0540.2040.768
Sex Male0.7640.1250.0820.300
Female0.7640.1250.0820.300
Smoking status No smoking history0.4440.626
Smoking history0.3240.358
Performance status ECOG 00.4670.150
ECOG >I0.7490.780
Adjuvant therapy No adjuvant therapy0.2550.797
Adjuvant therapy0.6320.017
Tumor stage Stage I0.2370.967
Stage II-IV0.8070.052
Tumor size pT10.8930.303
pT2-40.4050.039
Lymph node status pN00.2740.644
pN1-30.7270.010
Tumor histology Non squamous cell carcinoma0.1080.685
Squamous cell carcinoma0.6190.042
Tumor grading < G20.7630.226
≥ G20.2490.663
Bcl-2 expression Negative Bcl-2 expression0.2260.440
Positive Bcl-2 expression0.5530.290
Bcl-xl expression Negative Bcl-xl expression0.4370.466
Positive Bcl-xl expression0.4750.712
EGFR mutation status No EGFR mutation0.0180.597
EGFR mutation0.654
Proliferation (ki67) Negative ki-67 expression0.9080.607
Positive ki-67 expression0.2730.142
PD-1 expression in TILs Negative PD-1 expression0.132
Positive PD-1 expression0.465
PD-L1 expression in NSCLC Negative PD-L1 expression0.194
Positive PD-L1 expression0.579

*p values according to log rank test.

Fig 2

Prognostic impact of PD-L1 expression by tumor cells depends on tumor histology.

Whereas for the full study collective (n = 321 patients), no prognostic effect was found, neither for PD-1 (A) nor for PD-L1 (B), patients who received adjuvant therapy (C), patients with pulmonary squamous cell carcinomas (D), patients with pT2-T4 tumors (E) and patients with a positive lymph node status (pN1-3, F) had an increased overall survival.

Prognostic impact of PD-L1 expression by tumor cells depends on tumor histology.

Whereas for the full study collective (n = 321 patients), no prognostic effect was found, neither for PD-1 (A) nor for PD-L1 (B), patients who received adjuvant therapy (C), patients with pulmonary squamous cell carcinomas (D), patients with pT2-T4 tumors (E) and patients with a positive lymph node status (pN1-3, F) had an increased overall survival. *p values according to log rank test. Subgroup analyses were performed for sex, age, smoking status, performance status, adjuvant therapy, tumor histology, tumor grading, tumor stage, tumor size, lymph node status, Bcl-2 expression, Bcl-xl expression, EGFR mutation status, PD-1 expression in tumor infiltrating lymphocytes and PD-L1 expression in tumor cells. Here, stratified analysis identified PD-L1 expression in NSCLC tumor cells to be associated with improved prognosis for adjuvant therapy (p = 0.017; ), tumor histology (pulmonary squamous cell carcinoma; p = 0.042; ), increased tumor size (pT2-4; p = 0.039; ) and lymph node status (pN1-3; p = 0.010; ). A prognostic effect was found for PD-1-positive tumor infiltrating lymphocytes in patients with non EGFR-mutated tumors (p = 0.018; ). Due to the small number of patients (n = 22 patients), this effect is most likely not of clinical significance. Apart from this observation, further univariate subgroup analyses for PD-1 did not reveal any other relevant prognostic effect (all p>0.05; ).

Prognostic value of PD-1 and PD-L1

To determine the prognostic value of tumor infiltration by PD-1 positive lymphocytes and PD-L1 expression by tumor cells, Cox proportional hazards models for comparison with established prognostic factors were applied. As shown for the full study collective neither PD-1 nor PD-L1 were of prognostic relevance (all p>0.05, ). Here only age (HR (95%CI) = 1.545 (1.147–2.080); p = 0.005), tumor stage (HR (95%CI) = 1.986 (1.492–2.645); p<0.001) and sex (HR (95%CI) = 1.658 (1.132–2.429; p = 0.006) were identified as prognostic parameters.
Table 4

Overall survival: Explanatory prognostic factors in a Cox proportional Hazards model for the full study collective and for subgroups depending on adjuvant therapy, tumor histology, tumor size and lymph node status.

Included variables: PD-1 expression in tumor infiltrating lymphocytes (negative expression (ref.) vs. positive expression), PD-L1 expression in NSCLC cells (negative expression (ref.) vs. positive expression), sex (male (ref.) vs. female), age (<70 years (ref.) vs. ≥70 years), smoking status (no smoking history (ref.) vs. smoking history), adjuvant therapy (no adjuvant therapy (ref.) vs. adjuvant therapy), tumor histology (squamous cell carcinoma (ref.) vs. non squamous cell carcinoma), tumor stage (stage I (ref.) vs. stage II-IV), tumor size (pT1 (ref.) vs. ≥pT2), lymph node status (pN0 (ref.) vs. pN1-3) and grading (

Prognostic groupsPrognostic factorp-valueHR1(95% CI)2
All NSCLC patients (n = 301) Age0.0051.545 (1.147–2.080)
Tumor stage<0.0011.986 (1.492–2.645)
Sex0.0061.658 (1.132–2.429)
Adjuvant therapy No adjuvant therapy (n = 255) PD-10.0350.659 (0.440–0.987)
Age0.0191.471 (1.070–2.021)
Tumor size0.0161.563 (1.074–2.275)
Tumor stage<0.0011.928 (1.382–2.690)
Adjuvant therapy (n = 46) PD-L10.0120.353 (0.145–0.861)
Tumor histology Non squamous cell carcinoma (n = 163) PD-10.0300.561 (0.322–0.977)
Age0.0161.704 (1.118–2.598)
Sex0.0321.663 (1.028–2.688)
Tumor size0.0431.627 (1.001–2.646)
Lymph node status0.0012.049 (1.351–3.107)
Squamous cell carcinoma (n = 138) PD-L10.0050.459 (0.252–0.833)
Tumor stage0.0021.929 (1.277–2.913)
Tumor size pT1 (n = 93) Sex0.0022.860 (1.361–6.010)
Tumor stage0.0052.615 (1.389–4.922)
pT2-4 (n = 208) PD-L10.0040.556 (0.366–0.844)
PD-10.0230.626 (0.410–0.954)
Age0.0411.429 (1.020–2.001)
Lymph node status0.0011.783 (1.279–2.486)
Lymph node status pN0 (n = 192) Age0.0091.671 (1.140–2.449)
Tumor size0.0041.809 (1.191–2.747)
pN1-3 (n = 109) PD-L10.0050.470 (0.268–0.825)

Overall survival: Explanatory prognostic factors in a Cox proportional Hazards model for the full study collective and for subgroups depending on adjuvant therapy, tumor histology, tumor size and lymph node status.

Included variables: PD-1 expression in tumor infiltrating lymphocytes (negative expression (ref.) vs. positive expression), PD-L1 expression in NSCLC cells (negative expression (ref.) vs. positive expression), sex (male (ref.) vs. female), age (<70 years (ref.) vs. ≥70 years), smoking status (no smoking history (ref.) vs. smoking history), adjuvant therapy (no adjuvant therapy (ref.) vs. adjuvant therapy), tumor histology (squamous cell carcinoma (ref.) vs. non squamous cell carcinoma), tumor stage (stage I (ref.) vs. stage II-IV), tumor size (pT1 (ref.) vs. ≥pT2), lymph node status (pN0 (ref.) vs. pN1-3) and grading ( Subgroup analyses were performed to prove the observed subgroup-relevant effects for PD-L1 with adjuvant therapy, tumor histology, tumor size and lymph node status. Cox regression models confirmed the observed positive prognostic effect of PD-L1 expression for adjuvant therapy (HR (95%CI) = 0.353 (0.145–0.861); p = 0.012; ), for tumor histology (HR (95%CI) = 0.459 (0.252–0.833); p = 0.005; ), for tumor size (HR (95%CI) = 0.556 (0.366–0.844); p = 0.004; ) and for lymph node status (HR (95%CI) = 0.470 (0.268–0.825); p = 0.005; ). For NSCLC patients who were not treated with adjuvant therapy (S2A Fig), patients with non-squamous cell carcinomas ( ), patients with small tumor sizes (pT1) or patients without lymphatic spread (pN0) no relevant prognostic effects were not found.

Discussion

Blockade of inhibitory immune checkpoints is currently arising as a potential immunological option for tumor therapy. Targeting the PD-1/PD-L1 pathway in lung cancer has shown promise to positively affect prognosis in first clinical studies [13,21]. A more detailed understanding of the significance of the PD-1/PD-L1 pathway in this cancer is important to advance this promising treatment modality to its full potential. In order to evaluate the prognostic impact of tumor infiltration by PD-1 positive lymphocytes and PD-L1 expression by tumor cells, we performed a systematic study in a well-defined collective of 321 NSCLC patients undergoing primary tumor resection without preceding neoadjuvant therapy. Only completely resected, non-metastatic patients with a clear NSCLC histology were included for the statistical evaluation. Tumor infiltration by PD-1 positive lymphocytes was detected in 22% of the tumor samples and 24% of the tumors displayed positivity for PD-L1 with 16 samples (5%) showing synchronous positivity for both. The finding concerning PD-L1 corresponds well to other published studies, which report immunohistochemical expression rates of 25–65% for PD-L1 in tumors of NSCLC patients [16,22-26]. Differences might be due to variabilities of the tumor microenvironment and to non-static expression at a single point of time [27]. To our knowledge, in contrast to reports on PD-L1 expression in tumor cells, no comparable data regarding the infiltration levels with PD-1 positive cells have been published, yet. Moreover, no mechanistic relation between the extent of PD-1 positive lymphocytic infiltration and PD-L1 positivity of the tumor cells has been shown so far. Hence, we did not find any association between PD-1 positive TILs and PD-L1 positive tumor cells. To test whether PD-1 and PD-L1 correlate with the activation of apoptotic pathways [8], we analyzed associations for Bcl-2 and Bcl-xl. Here, positive associations were found for Bcl-xl expression in the tumor cells and PD-L1 expression in tumor cells. However, the observed positive correlation for Bcl-xl (Fisher’s exact test; ) was not found in the prognostic subgroup analysis (log rank test; ). So far, the impact of this observation is not clear and it may not be relevant. While one study group reported PD-L1 expression to be associated with adenocarcinoma histology [15] and another study reported it to be associated with squamous cell carcinoma histology [14], our correlation anaylsis (Fisher’s exact test) supports the latter observation. As shown before, we did not find any association between PD-L1 expression and presence of EGFR mutations [26]. The prognostic analysis of the full study cohort, including all NSCLC histologies, did not reveal any significant effect of tumor infiltration by PD-1 positive lymphocytes and/or PD-L1 expression of the tumor cells on overall survival ( ). However, a favorable prognosis was found for PD-L1 expression in tumor cells for patients who received adjuvant therapy, with pulmonary squamous cell carcinomas, higher T descriptor or lymph node metastasis ( ). Beyond other prognostic variables such as age or tumor stage, multivariate analyses confirmed PD-L1 expression in tumor cells to be a marker for an improved prognosis for patients with these characteristics. For infiltration by PD1 positive lymphocytes borderline prognostic effects were found in some multivariate subgroup analyses. With respect to the recent literature, previous studies regarding the prognostic role of PD-L1 for NSCLC patients have been controversial. There are studies suggesting a negative prognostic value [15,24], whereas others did not find any prognostic impact [22,24,26]. Recently, one larger study including 340 NSCLC patients reported both, tumor PD-L1 protein and PD-L1 mRNA expression to be associated with increased local lymphocytic infiltrates and increased overall survival [14]. Our results are in agreement with this and further previous reports in other tumor types. An association between PD-L1 expression with an improved overall survival was found in metastasized malignant melanoma [28], colorectal cancer [29], and breast cancer [30]. As in our study, all reported patients did not receive anti-PD1/PD-L1 therapies. The biology of an association between PD-L1 expression and better outcome in patients with adjuvant therapy, lymphatic metastasis, and squamous cell carcinoma is not well understood. A potential explanation is that the favorable prognostic impact of PD-L1 upregulation in these conditions may indicate the presence of a mixed immune cell infiltrate containing cytotoxic and regulatory T cells and reflect a partially dysbalanced local cellular immune response, which still contributes to antitumor immune control. In this case, a specific therapeutic interference with the PD-1/PD-L1 pathway may unleash a cytotoxic T cell response in the tumor. Thus, more detailed studies on the phenotype of infiltrating immune cells, in particular with regard to T cell subpopulations, seem to be important. Of interest, neither the proliferation marker Ki-67 nor the anti-apoptotic factors were associated with the prognostic effect of PD-L1 expression, highlighting that regulation of proliferation and apoptosis may be independent form immunologic mechanisms. With respect to therapeutic interventions, inhibition of PD-1/PD-L1 is expected to become a powerful therapeutic alternative for NSCLC [31]. Overall, for advanced NSCLC patients, the overall response rate (ORR) for PD-1 inhibitory drugs was 24%, whereas for NSCLC patients with PD-L1 expression the ORR was 100% compared to 15% for PD-L1 negative tumors [32]. The latter study argues in favour of the evaluation of PD-L1 expression as a selective biomarker, and the analysis of PD-L1 in NSCLC could serve as predictor for response to PD-1 pathway inhibition and additionally as a prognostic marker for improved clinical outcome [33]. Our oligocentric study has several limitations, such as its retrospective nature and the potential risk of bias resulting from variable treatment protocols, regarding both surgical procedures and adjuvant therapies. The issue of representative tissue sample selection for TMAs was addressed in a previous study [18]. To reduce sampling errors, each patient’s tumor was represented by three tissue cores sampled from different tumor areas covering potential histological heterogeneity. In conclusion, PD-L1 is a prognostic factor for NSCLC patients with squamous cell carcinoma histology, lymph node metastasis and patients treated in an adjuvant setting. It is feasible to hypothesize that patients with PD-L1 expression profit the most in an adjuvant treatment setting, however the sample size of our study is too small to answer this clinically important issue. Prospective studies are required to confirm this observation. If our observation is confirmed by further and prospective analyses, PD-L1 expression could contribute to adequate risk stratification. Beyond conventional therapies, PD-L1 expression likely represents a critical biomarker for predicting the individual probability of response to treatment with PD-1/PD-L1 pathway inhibitory agents. Prospective assessment of this parameter along with clinical trials will help to establish its significance in this context and allow selecting patients with a high likelihood to respond to various therapeutic interventions.

Prognostic impact of PD-1, PD-L1 and simultaneous PD-1/PD-L1 expression in the total study cohort.

(EPS) Click here for additional data file.

Prognostic impact of PD-L1 in patients who did not receive any adjuvant treatment (A) and NSCLC patients with non-squamous cell carcinomas (B).

(EPS) Click here for additional data file.
  32 in total

Review 1.  Co-inhibitory molecules of the B7-CD28 family in the control of T-cell immunity.

Authors:  Lieping Chen
Journal:  Nat Rev Immunol       Date:  2004-05       Impact factor: 53.106

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Journal:  Pathologe       Date:  1987-05       Impact factor: 1.011

3.  Pembrolizumab for the treatment of non-small-cell lung cancer.

Authors:  Edward B Garon; Naiyer A Rizvi; Rina Hui; Natasha Leighl; Ani S Balmanoukian; Joseph Paul Eder; Amita Patnaik; Charu Aggarwal; Matthew Gubens; Leora Horn; Enric Carcereny; Myung-Ju Ahn; Enriqueta Felip; Jong-Seok Lee; Matthew D Hellmann; Omid Hamid; Jonathan W Goldman; Jean-Charles Soria; Marisa Dolled-Filhart; Ruth Z Rutledge; Jin Zhang; Jared K Lunceford; Reshma Rangwala; Gregory M Lubiniecki; Charlotte Roach; Kenneth Emancipator; Leena Gandhi
Journal:  N Engl J Med       Date:  2015-04-19       Impact factor: 91.245

4.  PD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Hallie Wimberly; Jason R Brown; Kurt Schalper; Herbert Haack; Matthew R Silver; Christian Nixon; Veerle Bossuyt; Lajos Pusztai; Donald R Lannin; David L Rimm
Journal:  Cancer Immunol Res       Date:  2014-12-19       Impact factor: 11.151

5.  Relationship between programmed death-ligand 1 and clinicopathological characteristics in non-small cell lung cancer patients.

Authors:  Yan-yan Chen; Liu-bo Wang; Hui-li Zhu; Xiang-yang Li; Yan-ping Zhu; Yu-lei Yin; Fan-zhen Lü; Zi-li Wang; Jie-ming Qu
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6.  CTLA-4 and PD-1 receptors inhibit T-cell activation by distinct mechanisms.

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7.  B7-H1 expression on non-small cell lung cancer cells and its relationship with tumor-infiltrating lymphocytes and their PD-1 expression.

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8.  Clinical impact of programmed cell death ligand 1 expression in colorectal cancer.

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Journal:  Eur J Cancer       Date:  2013-03-13       Impact factor: 9.162

9.  Interleukin-2 and interferon-alpha in the treatment of patients with advanced non-small-cell lung cancer.

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Review 1.  Is there a room for immune checkpoint inhibitors in early stage non-small cell lung cancer?

Authors:  Elisa Gobbini; Matteo Giaj Levra
Journal:  J Thorac Dis       Date:  2018-05       Impact factor: 2.895

2.  Analysis of the prognostic role of an immune checkpoint score in resected non-small cell lung cancer patients.

Authors:  Marta Usó; Eloísa Jantus-Lewintre; Silvia Calabuig-Fariñas; Ana Blasco; Eva García Del Olmo; Ricardo Guijarro; Miguel Martorell; Carlos Camps; Rafael Sirera
Journal:  Oncoimmunology       Date:  2016-12-07       Impact factor: 8.110

3.  Dramatic response to anti-PD-1 therapy in a patient of squamous cell carcinoma of thymus with multiple lung metastases.

Authors:  Yan Yang; Liren Ding; Pingli Wang
Journal:  J Thorac Dis       Date:  2016-07       Impact factor: 2.895

4.  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

Review 5.  Next generation predictive biomarkers for immune checkpoint inhibition.

Authors:  Yulian Khagi; Razelle Kurzrock; Sandip Pravin Patel
Journal:  Cancer Metastasis Rev       Date:  2017-03       Impact factor: 9.264

6.  Role of PD-1 during effector CD8 T cell differentiation.

Authors:  Eunseon Ahn; Koichi Araki; Masao Hashimoto; Weiyan Li; James L Riley; Jeanne Cheung; Arlene H Sharpe; Gordon J Freeman; Bryan A Irving; Rafi Ahmed
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-13       Impact factor: 11.205

7.  TCR+CD4-CD8- (double negative) T cells protect from cisplatin-induced renal epithelial cell apoptosis and acute kidney injury.

Authors:  Jing Gong; Sanjeev Noel; Joshua Hsu; Errol L Bush; Lois J Arend; Mohanraj Sadasivam; Sul A Lee; Johanna T Kurzhagen; Abdel Rahim A Hamad; Hamid Rabb
Journal:  Am J Physiol Renal Physiol       Date:  2020-04-13

8.  PD-L1 expression in basaloid squamous cell lung carcinoma: Relationship to PD-1+ and CD8+ tumor-infiltrating T cells and outcome.

Authors:  Marius Ilie; Alexander T Falk; Catherine Butori; Emmanuel Chamorey; Christelle Bonnetaud; Elodie Long; Sandra Lassalle; Katia Zahaf; Nicolas Vénissac; Jérôme Mouroux; Charlotte Cohen; Elisabeth Brambilla; Charles Hugo Marquette; Véronique Hofman; Paul Hofman
Journal:  Mod Pathol       Date:  2016-08-26       Impact factor: 7.842

9.  Expression and clinical significance of PD-L1 and c-Myc in non-small cell lung cancer.

Authors:  Cuiling Zhou; Gang Che; Xiaobin Zheng; Junlan Qiu; Zhinan Xie; Yunyan Cong; Xiaofeng Pei; Hongyu Zhang; Huanhuan Sun; Haiqing Ma
Journal:  J Cancer Res Clin Oncol       Date:  2019-09-20       Impact factor: 4.553

10.  Demethylation of the PD-1 Promoter Is Imprinted during the Effector Phase of CD8 T Cell Exhaustion.

Authors:  Eunseon Ahn; Ben Youngblood; Junghwa Lee; Judong Lee; Surojit Sarkar; Rafi Ahmed
Journal:  J Virol       Date:  2016-09-12       Impact factor: 5.103

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