Literature DB >> 28881674

Prognostic significance of PD-L1 expression and 18F-FDG PET/CT in surgical pulmonary squamous cell carcinoma.

Minghui Zhang1, Dalong Wang2,3, Qi Sun4, Haihong Pu1, Yan Wang1, Shu Zhao1, Yan Wang1, Qiangyuan Zhang1.   

Abstract

Programmed cell death-ligand 1 (PD-L1) expression is commonly observed in non-small cell lung cancer (NSCLC). The prognostic value of PD-L1 expression and the maximum standardized uptake value (SUVmax) on 18F-Fluorodeoxyglucose positron emission tomography (18FDG-PET) in surgical pulmonary squamous cell carcinoma(SCC)remains unclear. Furthermore, the correlation between the SUVmax and PD-L1 expression has not been assessed. Thus, the purpose of this study was to investigate the correlation between PD-L1 expression and the SUVmax on 18FDG-PET and to examine the prognostic significance of PD-L1 expression and the SUVmax in surgical pulmonary SCC. Expression of PD-L1 was examined in 84 patients with resected SCC using immunohistochemistry. Positive PD-L1 expression in tumour cells was observed in 58.3% (49/84) of patients with SCC. High PD-L1 expression levels were significantly correlated with histological differentiation (P=0.006), and a high SUVmax was associated with histological differentiation (P=0.037), and lymph node metastasis (P=0.025). Spearman's test showed that there was a significant correlation between PD-L1 expression levels and the SUVmax. High PD-L1 expression levels and a high SUVmax were both independent risks factors for poor overall survival. Our results suggested that high PD-L1 expression levels and a high SUVmax was associated with poor prognosis in surgical pulmonary SCC. The existence of a statistically significant correlation between the SUVmax and PD-L1 expression levels justifies exploring the usefulness of the SUVmax as a predictor of PD-1/PD-L1 inhibitor activity.

Entities:  

Keywords:  PET-CT; prognostic factor; programmed cell death ligand 1; squamous cell carcinoma

Year:  2017        PMID: 28881674      PMCID: PMC5584275          DOI: 10.18632/oncotarget.18257

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Lung cancer, which can be broadly divided into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), is the most prevalent cancer worldwide [1]. Certain prognostic factors including advanced stage disease at diagnosis, poorly differentiated, abnormal activation of oncogene are predictive of poor survival in patients with NSCLC. Squamous cell carcinoma (SCC) accounts for approximately 30% of all cases of lung cancer [2]. The number of treatment options for lung adenocarcinoma (ADC) has increased in recent decades following the identification of sensitizing epidermal growth factor receptor (EGFR) mutations and anaplastic lymphoma kinase (ALK) rearrangements as molecular targets for effective agents [3]. However, most of the molecular target therapies used for the treatment of ADC are not indicated for SCC because the latter disease lacks specific genetic alterations. Blocking immunecheckpoints with monoclonal antibodies has emerged as a new therapeutic strategy for treating SCC and has yielded a favourable clinical outcome in affected patients [4]. Such results highlight the importance of immune checkpoints in SCC tumourigenesis. The programmed death 1 (PD-1) pathway is a major immune checkpoint. The binding of PD-1 ligand (PD-L1) to PD-1 induces activated T-cell apoptosis or exhaustion, and agents that block this inhibitory signal have been shown to enhance T-cells activity [5]. Previous studies have shown that increased PD-L1 expression occurs in many solid tumours, including breast cancer [6], NSCLC [7], hepatocellular carcinoma[8], gastric cancer[9], colorectal cancer[10], renal cell carcinoma[11], and testicular cancer[12], as well as papillary thyroid cancer[13]. Several meta-analyses have demonstrated that high PD-L1 expression levels are correlated with adverse clinical and pathologic features, as well as an increased risk of death, in many cancer types [14-17]. However, the data regarding the prevalence and prognostic role of PD-L1 expression in SCC remain controversial. A meta-analyse demonstrated that NSCLC patients with high PD-L1 expression had a poor OS [18]. However, another meta-analysis did not indicate PD-L1 as a prognostic predictor for NSCLC [19]. 18F-Fluorodeoxyglucose positron emission tomography (18FDG-PET) is an important noninvasive tool used for the diagnosing NSCLC and performing TNM staging in patients with the disease. The maximum standardized uptake value (SUVmax) on FDG-PET is widely used in clinical practice because of its simplicity [20]. A high SUVmax has been reported to be an important prognostic factor in patients with NSCLC [21]. Several studies have demonstrated the existence of a correlation between the uptake of FDG and the levels of biomarkers such as EGFR mutations [22], VEGF[23], Ki-67 [24] and COX2 [25]. However, the correlation between FDG uptake and PD-L1 expression has not been assessed. Therefore, we conducted this study to investigate the correlation between PD-L1 expression and the SUVmax on FDG-PET and to examine the prognostic significance of PD-L1 expression and SUVmax in surgical SCC.

RESULTS

Patient demographics

The clinical characteristics of the 84 patients enrolled in the study are presented in Table 1. The median age of the study population at the time of diagnosis was 63 years (range, 34–85 years), and the majority of patients (77.4%) were male. Sixty-one (72.6%) of patients were smokers, and 75% of the cohort comprised patients with stage I and II disease. After curative resection, 54 patients received platinum-based adjuvant chemotherapy, and 77.8% of patients were treated with up to 4 cycles of chemotherapy. A total of 12 patients (14.3%) received adjuvant chemotherapy followed by radiotherapy. The median follow-up time of was 27.8 months (range, 4.3-78 months). The median SUVmax was 11.2 (range, 3.1-30.2). Patients were divided into high and low SUVmax groups according to the median SUVmax. Representative examples of patients with surgical pulmonary SCC who had a high or low SUVmax are shown in Figure 1. The demographic and clinical characteristics of the study population are shown in Table 1.
Table 1

Patient characteristics

CharacteristicNo. of patients
Age
 ≤6556
 >6528
Gender
 Male65
 Female19
Smoking status
 Smoker61
 Non-smoker23
ECOG
 030
 1-254
Differentiation
 Well27
 Moderate/poor57
Tumour size
 ≤3cm47
 >3cm37
Lymph node metastasis
 Negative45
 Positive39
Pathologic stage
 IA16
 IB14
 IIA13
 IIB20
 IIIA18
 IIIB3
Adjuvant therapy
 Adjuvant chemotherapy54
 Adjuvant chemoradiotherapy12
Surgical procedure
 Lobectomy67
 Wedge resection4
 Sleeve lobectomy9
 Pneumonectomy4
 Tumor location
 Right upper lobe28
 Right middle lobe9
 Right lower lobe13
 Left upper lobe23
 Left lower lobe11
Figure 1

IHC staining for PD-L1 in pulmonary SCC patients

(A) Positive PD-L1 expression. (B) Negative PD-L1 expression. (C)18F-FDG PET/CT in patients with pulmonary SCC. 71-year-old man with positive PD-L1 expression and a high SUVmax (13.3). (D) 57-year-old man with positive PD-L1 expression and a low SUVmax (6.9). (E) 65-year-old man with negative PD-L1 expression and a high SUVmax(19.1). (F) 59-year-old man with negative PD-L1 expression and a low SUVmax(6.8).

IHC staining for PD-L1 in pulmonary SCC patients

(A) Positive PD-L1 expression. (B) Negative PD-L1 expression. (C)18F-FDG PET/CT in patients with pulmonary SCC. 71-year-old man with positive PD-L1 expression and a high SUVmax (13.3). (D) 57-year-old man with positive PD-L1 expression and a low SUVmax (6.9). (E) 65-year-old man with negative PD-L1 expression and a high SUVmax(19.1). (F) 59-year-old man with negative PD-L1 expression and a low SUVmax(6.8).

PD-L1 protein expression

Positive PD-L1 immunostaining was observed in the membranes and/or cytoplasms of tumour cells. Representative examples of PD-L1 staining patterns are shown in Figure 1. Positive PD-L1 protein expression was noted in 49 of the 84 patients with SCC enrolled in this study (58.3%).

Correlations between PD-L1 expression and the SUVmax and clinicopathological characteristics

The correlations between PD-L1 expression and the SUVmax and clinicopathological characteristics are presented in Table 2. PD-L1 positivity was noted more frequent in patients with moderately or poorly differentiated disease than in patients with well-differentiated disease (P=0.006). However, there were no significant correlations between PD-L1 expression levels and age, gender, smoking history, ECOG, tumour size, lymph node metastasis, TNM stage, serum CEA levels, serum SCC levels or serum CYFRA 21-1 levels. A high SUVmax was significantly correlated with histological differentiation (P=0.037) and lymph node metastasis (P=0.025). No correlations were noted between a high SUVmax and age, gender, smoking history, ECOG, tumour size, TNM stage, serum CEA levels, serum SCC levels or serum CYFRA 21-1 levels. Spearman's analysis showed that PD-L1 expression was associated with a higher SUVmax (Table 3) (rho = 0.23; P = 0.035).
Table 2

Associations between clinicopathologic parameters and PD-L1 expression and the SUVmax

Clinicopathologic characteristicsAll patients n(%)PD-L1P-valueSUVmaxP-value
NegativePositiveLowHigh
Age0.1180.164
 ≤655620362333
 > 652815131612
Gender0.1030.538
 Male6524412936
 Female19118109
Smoking history0.230.103
 Smoker6123382536
 Non-smoker231211149
ECOG0.2480.344
 03015151614
 1-25420342331
Differentiation0.0060.037
 Well2717101710
 Moderate/poor5718392235
Tumor size0.2810.161
 ≤3 cm4722252522
 > 3 cm3713241423
Lymph node metastasis0.1490.025
 Negative4522232619
 Positive3913261326
TNM stage0.2480.161
 I3015151713
 II-III5420342232
Serum CEA levels0.4880.509
 Negative6428363133
 Positive20713812
Serum SCC levels0.1510.257
 Negative5526292827
 Positive299201118
Serum CYFRA 21-1 levels0.180.101
 Negative4823252622
 Positive3612241323

Serum marker standard cut-off, CEA=5.0ng/ml; CYFRA 21-1=3.3 ng/ml; SCC=15.2 ng/ml.

Table 3

Correlation between PD-L1 expression and the SUVmax

PD-L1nSUVmaxrhoP
HighLow
Positive493118
Negative4524210.230.035
Serum marker standard cut-off, CEA=5.0ng/ml; CYFRA 21-1=3.3 ng/ml; SCC=15.2 ng/ml.

Prognostic value of PD-L1 expression and the SUV max

PD-L1-positive patients displayed significantly shorter DFS (P=0.007) and OS (P=0.002) than PD-L1-negative patients. Furthermore, patients with a high SUVmax displayed shorter DFS (P=0.002) and OS (P=0.014) than patients with a low SUVmax.(Figure 2). The univariate Cox regression model showed that tumour differentiation, lymph node metastasis, TNM stage, PD-L1 expression and the SUVmax were correlated with OS, whereas age, gender, smoking history, tumour size, serum CEA levels, serum SCC levels, and serum CYFRA21-1 levels were not significantly correlated with OS. Additional multivariate analyses demonstrated that tumour differentiation, lymph node metastasis, TNM stage, PD-L1 expression and the SUVmax were significant independent predictors of OS (Table 4).
Figure 2

Kaplan-Meier survival curves for patients with pulmonary SCC

(A) DFS curves for patients with negative PD-L1 expression and patients with positive PD-L1 expression. (B) DFS curves for patients with a low SUVmax and patients with a high SUVmax. (C) OS curves for patients with negative PD-L1 expression and patients with positive PD-L1 expression. (D) OS curves for patients with a low SUVmax and patients with a high SUVmax.

Table 4

Univariate and multivariate analyses of prognostic factors for overall survival

FactorUnivariate analysisMultivariate analysis
HR (95%CI)P-valueHR (95%CI)P-value
Age(>65 vs ≤65)1.212 (0.668–2.199)0.527
Gender (male vs female)1.275 (0.633–2.565)0.496
Smoking history (yes vs no)1.149 (0.606-2.179)0.670
Tumour differentiation (poor vs moderate/good) *3.545 (1.687-7.451)0.0014.909(2.149-11.218)<0.001
Tumor size(>3cm vs ≤3cm)1.621 (0.913–2.881)0.099
Lymph node metastasis (yes vs no) *2.366 (1.323-4.230)0.0042.504(1.343-4.671)0.004
TNM stage (III -II vs I) *3.427 (1.727-6.798)<0.0013.17(1.550-6.483)0.002
Serum CEA levels(>5 ng/ml vs ≤5 ng/ml)1.284 (0.653–2.525)0.468
Serum SCC levels(>15.2 ng/ml vs ≤15.2 ng/ml)1.678 (0.943-2.987)0.079
Serum CYFRA 21-1 levels(>3.3 ng/ml vs ≤3.3 ng/ml)1.479 (0.834-2.625)0.181
PD-L1 (positive vs negative) *2.667 (1.378–5.164)0.0042.489(1.271-4.876)0.008
SUVmax (high vs low) *2.085 (1.148-3.787)0.0162.007(1.086-3.709)0.026

*P<0.05.

Kaplan-Meier survival curves for patients with pulmonary SCC

(A) DFS curves for patients with negative PD-L1 expression and patients with positive PD-L1 expression. (B) DFS curves for patients with a low SUVmax and patients with a high SUVmax. (C) OS curves for patients with negative PD-L1 expression and patients with positive PD-L1 expression. (D) OS curves for patients with a low SUVmax and patients with a high SUVmax. *P<0.05.

DISCUSSION

PD-L1 is a novel member of B7/CD28 superfamily and is more highly expressed in tumour tissues than in normal tissues [5]. In our previous study, we found that PD-L1 over expression was associated with significantly shorter OS in gastric cancer and breast cancer [26-27]. However, the clinical significance of PD-L1 expression in surgically resected SCC specimens has not been fully characterized. We therefore investigated PD-L1 expression and evaluated its prognostic significance in patients with SCC. In our study, positive PD-L1 staining was observed in 58.3% of patients. This rate of positive PD-L1 expression noted in our study was similar to that noted in a previous study on SCC, in which positive PD-L1 expression was detected in 56.2% of patients with SCC [28]. In addition, our results demonstrated that increased PD-L1 expression was significantly associated with poor survival in patients with SCC, a result consistent with those of a previous study [29]. These results support the idea that increased PD-L1 expression enables tumour cells to evade host immune surveillance and promotes disease progression [30]. In contrast, the results of another previous study showed that high PD-L1 expression levels were significantly associated with a favourable prognosis in SCC [28]. The study of Taso et al. [31] demonstrated that positive PD-L1 expression was not correlated with OS in resected NSCLC. Increased PD-L1 expression has been shown to be correlated with favourable and unfavourable prognoses in different studies. These findings may be attributable to the use of different thresholds to determine PD-L1 positivity, as well as heterogeneity with respect to baseline clinical and pathological features. Future studies aiming to determine the clinical applicability of PD-L1 must endeavor to develop a standardized protocol with which PD-L1 expression can be assessed. The SUVmax is the 18F-FDG PET/CT parameter most commonly used for making diagnoses, performing TNM staging and monitoring for therapeutic effects because of its high reproducibility and availability. In addition, various studies have described the prognostic significance of SUVmax in both early and advanced NSCLC [32-33]. A systematic review and meta-analysis showed that a high SUVmax is related to inferior overall survival in patients with NSCLC [34]. However, the prognostic significance of the SUVmax in SCC of the lung remains controversial. The goal of this study was to evaluate the significance of the SUVmax as a prognostic factor in SCC. We found that a high primary tumour SUVmax is a poor prognostic factor in patients with SCC. In contrast, Tsutani and colleagues showed that a high primary tumour SUVmax was a powerful prognostic determinant in patients with ADC, but not in patients with SCC of the lung [35]. The use of different SUVmax cut-offs, as well as differences in sample sizes, may account for the differences in outcomes between our study and that mentioned above. We also investigated the biological characteristics of tumours with high and low FDG uptake. Our study showed that the SUVmax was strongly correlated with lymph node metastasis and tumour differentiation in patients with SCC. A novel therapy based on PD-1/PD-L1 inhibitors known to have impressive antitumour activity in patients with NSCLC recently became the standard therapy for NSCLC [36]. In this age of personalized medicine, clinicians are faced with the following important question: how can physicians identify patients who are more likely to benefit from anti-PD-1/PD-L1 treatment? The findings of recent studies indicate that increased PD-L1 expression has emerged as a predictive biomarker useful for stratifying patients with NSCLC who are receiving PD-1/PD-L1 therapeutic agents [37]. In the present study, we investigated the relationship between PD-L1 expression and clinicopathological factors. Our results showed that PD-L1 positivity was more frequent in patients with moderately or poorly differentiated disease than in patients with well-differentiated disease, suggesting that PD-L1 expression can serve as a marker of disease progression. These patients may benefit more from PD-1/PD-L1 immune checkpoints inhibitors than other patients. In addition, several studies have described the feasibility of performing immuno-PET imaging with radiolabelled PD-1 and PD-L1 antibodies in murine models [38-39]. The present study investigated whether the SUVmax can predict tumour tissue PD-L1 expression levels in patients with SCC. We observed an association between SUVmax and PD-L1 expression. Our findings suggest that FDG-PET may serve as a noninvasive tool for assessing PD-L1 expression and can therefore predict the benefits that may be derived from PD-1/PD-L1 pathway-targeted immunotherapy. The present study had several limitations. First, the samples and data described herein were collected retrospectively, which may have led to bias resulting from variations among the treatment protocols used to manage the patients in question. Second, the limited sample size of the study cohort may have reduced the statistical power of the data analysis. Third, specific cut-off values for PD-L1 positivity have not been clearly defined, and the reproducibility of results associated with specific PD-L1 cut-off values has not been formally assessed. Fourth, different studies used different antibodies, and the choice of antibody may influenced the results of studies. In the present study, we used the clone 28-8 antibody, which has been used in clinical trials regarding nivolumab. Different anti-PD-L1 antibodies may need to be validated in the same SCC sample in future studies. Fifth, the patients included in our study had stage I-III disease; therefore, it is unclear whether our results are applicable to patients with stage IV disease. A prospective study with a larger sample size is warranted to validate our findings. In conclusion, our results suggested that high PD-L1 expression levels and a high SUVmax were associated with a poor prognosis in surgical pulmonary SCC. The existence of a significant correlation between the SUVmax and PD-L1 expression levels serves as justification for exploring the usefulness of the SUVmax as a predictor of PD-1/PD-L1 inhibitor activity.

MATERIALS AND METHODS

Patients and samples

Ninety-five patients with known diagnoses of SCC underwent whole-body 18F-FDG PET/CT for initial disease staging before undergoing surgical resection with systematic lymph node dissection at Harbin Medical University Cancer Hospital from January 2010 to December 2013. Archival materials including patient demographics, clinical data and follow-up information were available for all patients. Data on patient demographics, clinicopathological features and overall survival were extracted from medical records. Five patients who received preoperative chemotherapy or radiotherapy were excluded from the study, as were six patients who were examined at our PET/CT center more than 4 weeks before undergoing surgical treatment. Thus, 84 patients were included in the study. Tumour stage was determined according to the seventh edition of the AJCC system, which was published in 2009. The study was approved by the Ethics Committee of Harbin Medical University Cancer Hospital.

PET/CT protocol and imaging analysis

The FDG-PET protocol used in this study was described in our previous report [40]. In this study, the output results, including the SUVmax, were assessed by two imaging physicians with experience with PET/CT imaging and familiarity with PET-VCAR software and our PACS system. All images were reviewed to localize the target lesions identified by the above two imaging physicians, and any discrepancies regarding the images were resolved by discussion and the achievement of consensus.

Immunohistochemistry (IHC)

IHC was performed using standard indirect immunoperoxidase procedures. Briefly, 4μm-thick sections from a paraffin-embedded tissue block were de-waxed with xylene and rehydrated with a graded ethanol series and distilled water. Endogenous peroxidase activity was subsequently blocked using 3.0% hydrogen peroxide for 10 minutes, after which the tissue sections were incubated with the indicated primary antibodies (anti-PD-L1 antibody, clone 28-8, Abcam, Cambridge, UK) for 60 minutes at room temperature. For antigen visualization, we immersed the sectionsin 3, 3-diaminobenzidine solution and counterstained them with hematoxylin. The PD-L1 immunostaining results were classified into two groups based on staining intensity and tumour cell positivity. Staining intensity was scored as follows: 0, negative staining; 1, weak staining; 2, moderate staining; and 3, strong staining. All cases in which more than 5% of tumour cells displayed a staining intensity ≥2 were considered positive. Cases with staining intensity <2 or less than 5% of tumour cells were considered negative. The 5% threshold used herein was chosen based on the results of a previous clinical trial [41-42].

Statistical analysis

The correlations between PD-L1 expression and clinicopathological characteristics were evaluated using chi-square tests or Fisher's exact test. Spearman’ s correlation coefficient (rho) was used for rank correlation. Disease-free survival and overall survival were calculated using by the Kaplan–Meier method, and comparisons were performed using the log-rank test. Univariate and multivariate regression was performed using the Cox proportional hazards model. Two-sided p values <0.05 were considered statistically significant. All statistical analyses were performed using SPSS software (version 17.0; SPSS, Chicago, Illinois, USA).
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