Literature DB >> 32694918

Interactive Effects of PD-L1 Expression in Tumor and Immune Cells on Prognosis of Esophageal Squamous Cell Carcinoma: A One-Center Retrospective Cohort Study.

Feng Shi1, Shuo Xiao2, Kaeli B Miller2, Yanjie Zhao3, Yuchen Li4, Ying Gao1, Hong Chang1, Qingkun Song5,6, Chenxu Qu7.   

Abstract

PURPOSE: The present study aimed to investigate the prognostic effect of PD-L1 expressing in tumor and immune cells among patients with esophageal squamous cell carcinoma. PATIENTS AND METHODS: We performed a retrospective cohort study by consecutively recruiting 142 patients. The clinicopathological features and PD-L1 expression on tumor and immune cells were independently evaluated by two pathologists.
RESULTS: The median expression rate of PD-L1 was 5% and 30% in tumor and immune cells, respectively. Patients with higher expression of PD-L1 in tumor cells had shorter disease-free and overall survival, and the HRs were 1.52 for relapse (95% CI: 0.88, 2.60) and 1.48 for death (95% CI: 0.82, 2.69). There was no significant association between the PD-L1 expression in immune cells and survival. However, among the patients with PD-L1 expression rate ≤30% in immune cells, the high expression rate of PD-L1 in tumor cells was significantly associated with the relapse and death, with HRs of 2.51 (95% CI: 1.25, 5.06) and 3.51 (95% CI: 1.57, 7.85), respectively. Among patients with PD-L1 expression rate >30% in immune cells, the PD-L1 expression in tumor cells did not show any association with the disease-free and overall survival.
CONCLUSION: Our study demonstrates that the integration of PD-L1 expression in tumor and immune cells could be used to predict the relapse and survival among patients with esophageal squamous cell carcinoma.
© 2020 Shi et al.

Entities:  

Keywords:  PD-L1; esophageal squamous cell carcinoma; prognosis; tumor cells and immune cells; tumor microenvironment

Year:  2020        PMID: 32694918      PMCID: PMC7340473          DOI: 10.2147/OTT.S258332

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

According to the report of GLOBOCAN 2018, the esophageal cancer (EC) ranked the seventh and sixth for incidences and mortality, respectively, in the world.1 China has the largest challenge of EC burden, accounting for nearly half of newly diagnosed cases and deaths worldwide.1 Esophageal squamous cell carcinoma (ESCC) was the predominant type of EC in China.2 With the remarkable improvements in the techniques of diagnosis and treatment, and socioeconomic status, the morbidity and mortality rate of ESCC had decreased over the past several decades, but the prognosis was still unfavorable.3 The 5-year overall survival (OS) rate of advanced ESCC was around 20%.3 Thus far, the immunotherapy had achieved very significant efficacy in a variety of tumors and was speculated to become the main treatment method of ESCC.4,5 Programmed death-ligand 1 (PD-L1) is also known as B7 homologous protein 1 and CD274, and expressed in tumor cells (TC) and immune cells (IC). But the expression in TC and IC has distinct functions in tumor microenvironment. PD-L1 in TC, combining with PD-1 in IC induced tumor occurrence and development by promoting tumor immune escape.6,7 PD-L1 in tumor-infiltrating IC, combining with PD-1 induced the inhibition of T cells activation, apoptosis and immune dysfunction.6,7 The relationship between the expression of PD-L1 and the prognosis of EC has been a major research focus but remains controversial. Some studies found that the PD-L1 expression was a favorable predictor in ESCC patients.8,9 In contrast, other studies reported that the PD-L1 expression was associated with the poor prognosis.10–12 Since TC and IC had distinctive features of PD-L1, the present study aimed to explore the interactive prognostic effect of PD-L1 expressed in TC and IC on the relapse and survival of ESCC patients.

Patients and Methods

Patients and Samples

This retrospective cohort study recruited 142 patients who received neither neoadjuvant therapy nor immunotherapy prior to surgery, from Beijing Shijitan Hospital, Capital Medical University between 2013 and 2016. Based on the cancer location, patients received an Ivor-Lewis esophagectomy or three-incision esophagectomy and were diagnosed as ESCC. There were nine patients occurring perioperative death and excluded from the survival analysis. The tissues were fixed in 4% neutral formaldehyde and embedded in paraffin for further hematoxylin and eosin (HE) staining and immunohistochemistry (IHC).

Clinical and Pathological Data

Clinical and pathological data including age, gender, tumor location, tumor size, tumor differentiation, clinical stage, nerve invasion, vascular invasion and lymph node metastasis were collected from medical records. The clinical staging evaluation was conducted according to the 8th edition of AJCC Esophageal Cancer Staging System. The pathological data were independently evaluated by two pathologists. The data of relapse and OS were followed up every 6 months until March 2018.

IHC Procedures

The two-step method of EnVision was used to detect PD-L1 expression in tumor microenvironment by automatic IHC instrument. Specifically, paraffin-embedded samples were cut into 4 μm sections, placed on polylysine-coated slides, deparaffinized with xylene and dehydrated in alcohol series. The slides were washed in 3% hydrogen peroxide solution at room temperature for 10 minutes, and then in PBS for 5 minutes three times. Slides were repaired in citrate buffer (pH~6.0) by microwave for 20 minutes, cooled to room temperature, and then washed in PBS for 5 minutes three times. Slides were incubated with anti–PD-L1 polyclonal antibody (SP142, diluted with 1:200, Roche Ltd. Shanghai) in a moist chamber at 4°C overnight, and then washed in PBS for three times. The secondary antibody was added (Beijing Zhongshanjinqiao biotechnology co., LTD.) and incubated for 20 minutes at room temperature. The slides were washed in PBS for 5 minutes three times. One hundred microliter appropriately diluted Sav-HRP conjugates were added to the sections, incubated in a humidified chamber at room temperature for 30 minutes and washed in PBS for 5 minutes three times. One hundred-microliter DAB substrate solution was added to the sections to reveal the color of antibody staining and the color-desired intensity was reached by color development for <5 min. The slides were washed in PBS for 5 minutes three times and counterstained with hematoxylin.

Assessment of PD-L1

Tonsil tissues were used as positive controls for PD-L1 staining. The positive cell had a partial or complete cell membrane staining of brown. The expression rate of PD-L1 was calculated by counting at least 100 cells in three different fields and calculating the mean. The expression rate of PD-L1 in TC and IC were evaluated, respectively. Immunohistochemically stained slides from each subject were reviewed by two pathologists independently and any inconsistent assessments between the two pathologists were consulted by a third pathologist with a higher professional level.

Statistical Analyses

All analyses were processed by SPSS version 19.0. The expression rate of PD-L1 was measured by median and inter-quartile range (IQR). Age, cancer location, differentiation and stage were analyzed with PD-L1 expression rate by the Spearman correlation test. Sex, periesophageal lymph node metastasis, perigastric lymph node metastasis, mediastinal peripheral lymph node metastasis, nerve invasion and blood vessel invasion were analyzed with PD-L1 expression by the Wilcoxon rank-sum test. The PD-L1 expression rate was categorized by median. A Kaplan-Meier survival curve was used to estimate the difference of disease-free survival (DFS) and OS between high and low expression of PD-L1 with a Log-rank test. A Cox-Hazard Proportion regression model was used to estimate the hazard ratio (HR) and 95% confidence interval (95% CI), with further confounder adjustment. All analyses were two-tailed and the significance level was 0.05.

Results

The median expression rate of PD-L1 was 5% in TC with an IQR of 20% and 30% in IC with an IQR of 30%. The median follow-up time was 22 months and the rate of loss for follow-ups was 21.1%. The PD-L1 expression in TC had a negative correlation with age and the correlation coefficient was −0.17 (p=0.049, Table 1). The PD-L1 expression in TC had no significant relationship with the sex, cancer location and differentiation (Table 1). The PD-L1 expression in IC had no association with age, sex, cancer location or differentiation (Table 1).
Table 1

Association Between PD-L1 Expression and Basic Characteristics of ESCC

Expression Rate of PD-L1 in Tumor Cellsp-valueExpression Rate of PD-L1 in Immune Cellsp-value
MedianIQRMedianIQR
Age, correlation coefficienta−0.1660.049c−0.090.297
Sexb0.4860.595
 Male5%20%30%30%
 Female1%23%30%31%
Locationa0.1690.661
 Upper esophagus20%30%40%45%
 Middle esophagus5%20%20%30%
 Lower esophagus0%20%30%33%
Differentiationa0.3800.884
 Poor2%48%20%20%
 Moderate5%20%30%20%
 Well2%5%20%20%

Notes: aSpearman correlation test. bWilcoxon rank-sum test. cp<0.05.

Abbreviations: ESCC, esophageal squamous cell carcinoma; IQR, inter-quartile range.

Association Between PD-L1 Expression and Basic Characteristics of ESCC Notes: aSpearman correlation test. bWilcoxon rank-sum test. cp<0.05. Abbreviations: ESCC, esophageal squamous cell carcinoma; IQR, inter-quartile range. Patients with blood vessel invasion had a PD-L1 expression rate of 20% in TC, which was significantly higher than the patients without blood vessel invasion (2%, p=0.008, Table 2). The expression rate of PD-L1 in TC was not associated with lymph node metastasis, cancer stage or nerve invasion (Table 2). PD-L1 expression in IC did not have associations with lymph node metastasis, cancer stage, nerve invasion or blood vessel invasion (Table 2).
Table 2

Relationship Between PD-L1 Expression and Pathological Features

Expression Rate of PD-L1 in Tumor Cellsp-valueExpression Rate of PD-L1 in Immune Cellsp-value
MedianIQRMedianIQR
Periesophageal lymph node metastasisa0.7880.440
 No2%20%30%30%
 Yes5%20%30%20%
Perigastric lymph node metastasisa0.5970.349
 No5%20%30%30%
 Yes5%23%20%30%
Mediastinal peripheral lymph node metastasisa0.0530.908
 No2%20%30%30%
 Yes20%40%30%20%
Clinical stageb0.1840.827
 Ⅰ1%6%20%21%
 Ⅱ2%20%30%30%
 >Ⅱ5%30%25%20%
Nerve invasiona0.2440.857
 No5%20%30%30%
 Yes5%30%30%20%
Blood vessel invasiona0.008c0.157
 No2%20%20%30%
 Yes20%35%30%20%

Notes: aWilcoxon rank-sum test. bSpearman correlation test. cp<0.05.

Abbreviation: IQR, inter-quartile range.

Relationship Between PD-L1 Expression and Pathological Features Notes: aWilcoxon rank-sum test. bSpearman correlation test. cp<0.05. Abbreviation: IQR, inter-quartile range. Patients with an expression rate of PD-L1>5% in TC had a median DFS and OS of 11 and 17 months, respectively, significantly shorter than the patients with an expression rate ≤5% (Figure 1A and B, p<0.05). And the high expression in TC introduced a 52% increased risk of relapse (HR=1.52, 95% CI: 0.88, 2.60) and a 48% increased risk of death (HR=1.48, 95% CI: 0.82, 2.69) (Table 3). The expression rate of PD-L1 in IC did not have any associations with DFS or OS (Figure 1C and D).
Figure 1

The association between the survival and PD-L1 expression. (A) The association between disease-free survival and PD-L1 expression in tumor cells. (B) The association between overall survival and PD-L1 expression in tumor cells. (C) The association between disease-free survival and PD-L1 expression in immune cells. (D) The association between overall survival and PD-L1 expression in immune cells.

Table 3

Cox Regression Analysis on PD-L1 Expression and Prognosis

Disease-Free Survivalp-valueOverall Survivalp-value
HR95% CIHR95% CI
Univariate analysis
 PD-L1 expression in tumor cells≤5%1.000.0351.000.053
 PD-L1 expression in tumor cells>5%1.761.04, 2.981.761.00, 3.09
Multivariate analysisa
 PD-L1 expression in tumor cells≤5%1.000.1321.000.196
 PD-L1 expression in tumor cells>5%1.520.88, 2.601.480.82, 2.69
Univariate analysisb
 PD-L1 expression in tumor cells≤5%1.000.004d1.000.001d
 PD-L1 expression in tumor cells>5%2.691.36, 5.313.911.79, 8.55
Multivariate analysisa, b
 PD-L1 expression in tumor cells≤5%1.000.010d1.000.002d
 PD-L1 expression in tumor cells>5%2.511.25, 5.063.511.57, 7.85
Univariate analysisc
 PD-L1 expression in tumor cells≤5%1.000.7591.000.820
 PD-L1 expression in tumor cells>5%1.180.41, 3.420.880.28, 2.76
Multivariate analysisa, c
 PD-L1 expression in tumor cells≤5%1.000.9111.000.479
 PD-L1 expression in tumor cells>5%1.070.34, 3.310.630.18, 2.26

Notes: aFurther adjusting age, sex and blood vessel invasion; bPD-L1 expression rate ≤30% in immune cells; cPD-L1 expression rate>30% in immune cells; dp<0.05.

Cox Regression Analysis on PD-L1 Expression and Prognosis Notes: aFurther adjusting age, sex and blood vessel invasion; bPD-L1 expression rate ≤30% in immune cells; cPD-L1 expression rate>30% in immune cells; dp<0.05. The association between the survival and PD-L1 expression. (A) The association between disease-free survival and PD-L1 expression in tumor cells. (B) The association between overall survival and PD-L1 expression in tumor cells. (C) The association between disease-free survival and PD-L1 expression in immune cells. (D) The association between overall survival and PD-L1 expression in immune cells. Among patients with PD-L1 expression rate≤30% in IC, the high expression of PD-L1 in TC (>5%) was associated with a worse DFS (p=0.003, Figure 2A) and a worse OS (p<0.001, Figure 2B), and the corresponding HRs were 2.51 (95% CI: 1.25, 5.06) and 3.51 (95% CI: 1.57, 7.85), respectively (Table 3). Among patients with the PD-L1 expression rate>30% in IC, the PD-L1 expression in TC did not alter the median DFS (p=0.757) or OS (p=0.818) significantly (Figure 2C and D), and the HRs were 1.18 (95% CI: 0.41, 3.42) and 0.88 (95% CI: 0.28, 2.76), respectively (Table 3).
Figure 2

The association between the survival and PD-L1 expression in tumor cells by the stratification of PD-L1 in immune cells. (A) Disease-free survival among patients with PD-L1 expression ≤30% in immune cells. (B) Overall survival among patients with PD-L1 expression ≤30% in immune cells. (C) Disease-free survival among patients with PD-L1 expression >30% in immune cells. (D) Overall survival among patients with PD-L1 expression >30% in immune cells.

The association between the survival and PD-L1 expression in tumor cells by the stratification of PD-L1 in immune cells. (A) Disease-free survival among patients with PD-L1 expression ≤30% in immune cells. (B) Overall survival among patients with PD-L1 expression ≤30% in immune cells. (C) Disease-free survival among patients with PD-L1 expression >30% in immune cells. (D) Overall survival among patients with PD-L1 expression >30% in immune cells.

Discussion

In the current study, the prognostic effect of PD-L1 expression in TC was only observed among the ESCC patients with the PD-L1 expression rate in IC less than 30%. However, for patients with PD-L1 expression rate in IC higher than 30%, no significant association was observed. These results indicated that TC and IC expressing PD-L1 had an interactive effect on ESCC prognosis. Presently, the immune check-point inhibitor, pembrolizumab, has been approved for EC treatment.13 The clinical application of pembrolizumab to EC patients is based on the combined positive score of PD-L1 expression, which integrated both the expression of PD-L1 on TC and IC.13 This study reported the interactive effect of PD-L1 expression between TC and IC on prognosis. The median expression rate of PD-L1 was 5% in TC and 30% in IC, which were lower than the reported value in previous literatures. Hatogai et al found 18.4% TC and 60.7% IC expressing PD-L1 in tumor microenvironment among ESCC patients at the stage of T2 at least.14 Additionally, Chen et al recruited patients with neoadjuvant chemoradiotherapy and found that 45% of them had the PD-L1 expression.8 Radiation was reported to elicit an adaptive immune response and the PD-L1 expression in tumor microenvironment could undermine the immunogenic effect of radiation.15 This study excluded the ESCC patients with neoadjuvant and immunotherapy, and the variation in patient selection might introduce the inconsistent expression rate. Similarly, the PD-L1 expression in IC did not have an association with the lymph node metastasis, tumor stage, neural invasion or blood vessel invasion.10,16 The PD-L1 expression in TC and IC had no relevance with the clinical and pathological factors, but both were associated with a favorable survival.14 Xu’s study found that PD-L1 could be a significant biomarker in poor prognosis and adverse clinicopathologic features (high TNM stage, poor nuclear grade and necrosis) of renal cell carcinoma.17 Elevated PD-L1 also had a significant association with an enhanced mortality risk (combined RR 2.90, 95% CI: 1.64, 5.13).17 Jiang also reported the significant effect of PD-L expression in TC on prognosis.16 However, in our study, the significant effect of PD-L1 expression in TC was only observed among patients with the PD-L1 expression rate in IC less than 30%. The interactive effects of PD-L1 expression on TC and IC were seldom reported, but the combined assessment of PD-L1 expressed on TC and IC was recommended on the guidelines of check-point inhibitor immunotherapy.13 The PD-L1 expression in TC inhibited the immune function of T cells and induced the immune escape of cancer cells.18 The dendritic cells expressing PD-L1 were unable to activate the proliferation of CD8+ T cells, and the antibody against PD-L1 could restore the activation.19 Effector CD8+ T cells primed in the presence of PD-L1 signaling decreased cytokine secretion and cytotoxicity activity, compared to the CD8+ T cells primed in the absence of PD-L1.20 PD-L1 expression of tumor-associated, myeloid-derived suppressor cells and macrophages exhibited immune suppression and related to the cancer progression.21 The expression and function of PD-L1 were reported to be impacted by regulators of the immune response, such as cytotoxic T lymphocyte–associated antigen 4 (CTLA-4), T-cell immunoglobulin and mucin domain 3 (TIM-3), lymphocyte activation gene 3 (LAG-3) and CD38.22,23 The PD-1/PD-L1 signaling pathway blockade is affected by tumor immune microenvironments. PD-L1 expression on TC or tumor-infiltrating IC is closely related to clinicopathological features and survival of several tumors.24 PD-L1 had been reported to be correlated with the epithelial–mesenchymal transition (EMT) by down-regulation of E-cadherin and upregulation of N-cadherin.25 EMT influenced the tumor immune-microenvironment and was a negative survival predictor.26 High PD-L1 expression rate in IC indicated a suppressive immune environment, and under the suppressive immune system PD-L1 expressed in TC played a limited role in immune inhibition. The PD-1/PD-L1 signaling pathway is identified as conveying an inhibitory signal to T cells and activating the immune escape of cancer cells.27 PD-L1 is a cell surface glycoprotein expressed on TC and IC, and the interaction with PD-1 on T cells impedes immune response.24 Therefore, it was necessary to use combining the expression of PD-L1 on TC with IC to predict the prognosis of ESCC. Our study demonstrated if the expression of PD-L1 on IC was low, the effector immune cells were less dysfunctional and the expression of PD-L1 on TC affected the immunity and had a significant effect on the prognosis of ESCC. On the contrary, the high expression of PD-L1 on IC represented a low response or depletion of cell immunity, and the expression of PD-L1 on TC was less likely to affect cell immunity and had no significance to the prognosis of ESCC. The limitations of this study include small sample size, the short duration of follow-up and the use of tissues fixed in paraffin wax.

Conclusion

Our study demonstrates that PD-L1 is a significant prognostic factor for operable patients of ESCC with a lower expression rate in IC. The integration of the PD-L1 expression on TC and IC could be used to predict the relapse and survival of patients with ESCC.
  27 in total

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Journal:  J Immunol       Date:  2009-08-26       Impact factor: 5.422

5.  CD38-Mediated Immunosuppression as a Mechanism of Tumor Cell Escape from PD-1/PD-L1 Blockade.

Authors:  Limo Chen; Lixia Diao; Yongbin Yang; Xiaohui Yi; B Leticia Rodriguez; Yanli Li; Pamela A Villalobos; Tina Cascone; Xi Liu; Lin Tan; Philip L Lorenzi; Anfei Huang; Qiang Zhao; Di Peng; Jared J Fradette; David H Peng; Christin Ungewiss; Jonathon Roybal; Pan Tong; Junna Oba; Ferdinandos Skoulidis; Weiyi Peng; Brett W Carter; Carl M Gay; Youhong Fan; Caleb A Class; Jingfen Zhu; Jaime Rodriguez-Canales; Masanori Kawakami; Lauren Averett Byers; Scott E Woodman; Vassiliki A Papadimitrakopoulou; Ethan Dmitrovsky; Jing Wang; Stephen E Ullrich; Ignacio I Wistuba; John V Heymach; F Xiao-Feng Qin; Don L Gibbons
Journal:  Cancer Discov       Date:  2018-07-16       Impact factor: 39.397

6.  PD-1 identifies the patient-specific CD8⁺ tumor-reactive repertoire infiltrating human tumors.

Authors:  Alena Gros; Paul F Robbins; Xin Yao; Yong F Li; Simon Turcotte; Eric Tran; John R Wunderlich; Arnold Mixon; Shawn Farid; Mark E Dudley; Ken-Ichi Hanada; Jorge R Almeida; Sam Darko; Daniel C Douek; James C Yang; Steven A Rosenberg
Journal:  J Clin Invest       Date:  2014-03-25       Impact factor: 14.808

7.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

8.  PD-L1 Expression Promotes Epithelial to Mesenchymal Transition in Human Esophageal Cancer.

Authors:  Lujun Chen; Yuqi Xiong; Jing Li; Xiao Zheng; Qi Zhou; Abbey Turner; Changping Wu; Binfeng Lu; Jingting Jiang
Journal:  Cell Physiol Biochem       Date:  2017-08-17

Review 9.  Radiation-induced immune responses: mechanisms and therapeutic perspectives.

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Journal:  Blood Res       Date:  2016-09-23

Review 10.  Functional Expression of Programmed Death-Ligand 1 (B7-H1) by Immune Cells and Tumor Cells.

Authors:  Rachel M Gibbons Johnson; Haidong Dong
Journal:  Front Immunol       Date:  2017-08-10       Impact factor: 7.561

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2.  An analysis of the immunological tumor microenvironment of primary tumors and regional lymph nodes in squamous cell lung cancer.

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