Skip to main content
Oncotarget logoLink to Oncotarget
. 2017 Feb 22;8(18):30175–30189. doi: 10.18632/oncotarget.15621

Prognostic significance of tumor-infiltrating immune cells and PD-L1 expression in esophageal squamous cell carcinoma

Yubo Jiang 1, Anthony WI Lo 2, Angela Wong 3, Wenfeng Chen 3, Yan Wang 1, Li Lin 1, Jianming Xu 1
PMCID: PMC5444735  PMID: 28404915

Abstract

Programmed death-1 receptor (PD-1) and its ligand (PD-L1) play an integral role in regulating the immune response against cancer. This study investigated the prognostic significance of PD-L1 expression on tumor cells and tumor-infiltrating immune cells (TILs) in the tumor microenvironment in Chinese patients with esophageal squamous cell carcinoma (ESCC). Archival formalin-fixed, paraffin-embedded ESCC samples from treatment-naïve patients with ESCC after surgery or by diagnostic endoscopic biopsy were collected between 2004 and 2014. Expression of PD-L1 in ESCC tumor specimens was assessed by immunohistochemistry (IHC), and the degree of TIL infiltration was evaluated by examining hematoxylin and eosin-stained (H&E) specimens. PD-L1+ as defined as ≥1% of tumor cell membranes showing ≥1+ intensity. In 428 patients, specimens from 341 (79.7%) were PD-L1+. In the definitive treatment group (patients who received curative esophagectomy or definitive [chemo-]radiation therapy), PD-L1 positivity was associated with a significantly shorter DFS and OS. In the palliative chemotherapy group exhibited, neither PFS nor OS correlated significantly with PD-L1 expression. PD-L1 expression was positively associated with TIL density. In 17 paired tumor tissues collected before and after treatment, an increase in PD-L1 expression was associated with disease progression, whereas a decrease in PD-L1 expression was associated with response to chemotherapy or disease control. So, PD-L1 expression was associated with a significantly worse prognosis in patients with ESCC. These observations suggest that PD-L1 may play a critical role in ESCC cancer progression and provide a rationale for developing PD-L1 inhibitors for treatment of a subset of ESCC patients.

Keywords: esophageal squamous cell carcinoma, PD-L1, TILs, prognostic factor, tumor microenvironment

INTRODUCTION

Esophageal cancer is one of the most aggressive and lethal malignancies among gastrointestinal cancers, ranking sixth in cancer-related death. It has two main subtypes: squamous-cell carcinoma (ESCC), which is mostly found in Asia, Africa, and South America, and adenocarcinoma (EAC), which is mostly found in North America and Europe [1]. In China, ESCC accounts for more than 90% of cases of esophageal cancer. Surgical resection remains the primary curative treatment and is the priority for localized and locally advanced esophageal cancer. Unfortunately, despite using neoadjuvant therapy followed by complete resections, long-term outcomes remain poor due to high rates of locoregional and distant failure [2, 3]. For patients with unresectable ESCC or who are medically unfit for surgery, definitive (chemo-)radiation may be a good choice, but local and distant recurrence still considerably affect prognosis [4]. Systemic palliative chemotherapy is the main treatment option for metastatic ESCC. However, objective response rates, especially complete response rates, are still unsatisfactory [5, 6]. The most commonly used chemotherapy regimen is cisplatin combined with 5-fluorouracil (5-FU) or/and taxanes, after which there is no standard treatment option [7]. Therefore, there is a crucial need to seek a new direction for treatment.

Programmed cell death 1 (PD-1), a member of the CD28 family of co-stimulatory receptors, is a T cell immune-checkpoint involved in providing inhibitory signals in T-cell activation when engaged by its ligands: PD1 ligand 1 (PD-L1) and PD1 ligand 2 (PD-L2) [8]. The PD-1/PD-L pathway plays a critical role in regulating the activity of T cells in effector phases against tumor cells [9]. It is well established that multiple solid tumor types, including melanoma, renal cell carcinoma (RCC), non-small cell lung cancer (NSCLC), thymoma, ovarian, and colorectal cancer, generate an immunosuppressive tumor microenvironment and avoid T cell-mediated cytolysis by expressing PD-L1 [1012]. Antibodies blocking PD-1/PD-L1 pathway have demonstrated durable responses in different advanced malignancies. To date, four immune checkpoint inhibitor antibodies have been approved by the U.S. FDA. These include the cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) blocking antibody ipilimumab (for advanced melanoma), two antibodies blocking PD-1, pembrolizumab (for advanced melanoma, NSCLC, and head and neck cancer) and nivolumab (for advanced melanoma, NSCLC, RCC and Hodgkin lymphoma), and one antibody blocking PD-L1, atezolizumab (for advanced urothelial carcinoma). All of these antibodies are thought to mediate their antitumor activity by blocking CTLA-4 or PD-1 on effector immune cells (such as CD8+ T cells) or PD-L1 on the tumor cells. This release of suppression on effector cells thus allows their full antitumor function to be exerted. Additionally, preliminary clinical data suggested that patients with higher levels of PD-L1 expression by immunohistochemistry (IHC) have an improved response rates, PFS, and OS across histologies [1315]. Thus, PD-L1 expression may be a predictive biomarker for anti-PD-1/PD-L1 therapy [8]. In addition to PD-L1 expression, presence or absence of tumor-infiltrating lymphocytes (TILs) in the tumor microenvironment is also important for effective antitumor immunity. Early research showed that a high degree of CD8+ and CD4+ T-cell infiltration in ESCC correlated with favorable clinical outcome, suggesting that the tumor antigen-specific cellular immune response plays a role in the clinical disease course [1618]. However, the clinical significance of PD-L1 expression and TILs in patients with ESCC has not been fully investigated in a Chinese patient population.

To explore the prognostic significance of PD-L1 expression and TILs for ESCC, we investigated the extent of PD-L1 expression and TILs in formalin-fixed samples from 428 Chinese ESCC patients, and analyzed the association between PD-L1 expression, TIL density and outcome.

RESULTS

Patient demographics and disease characteristics

A total of 428 ESCC specimens, one from each patient, were obtained from patients admitted to the Affiliated 307 Hospital Cancer Center, Beijing, P. R. China during 2004 to 2014. Samples were collected either by surgery (30.60%, n=131) or by endoscopic biopsy (69.40%, n=297) from treatment-naïve patients. The median follow-up was 34.4 months (range 0.3-147.1 months) from the date of sample collection. The last follow-up date was December 31, 2015. At the time of last follow-up, 22.43% (n=96) of patients with ESCC were still alive.

Treatment modalities depended on the stage and localization of ESCC. Patients with localized tumors underwent curative esophagectomy (n=172, 40.18%), while those with unresectable disease or who were medically unfit for surgery received definitive (chemo-)radiation (n=101, 23.60%). Patients with advanced metastatic disease received palliative chemotherapy (n=90, 21.02%), palliative R1/R2 resection (n=9, 2.10%), best supportive care (n=22, 5.14%), or chose not to receive any treatment (n=34, 7.94%).

PD-L1 expression in ESCC specimens

Tumor PD-L1 expression was assessed via IHC, using rabbit monoclonal antibody clone 73-10 proprietary of Merck KGaA. Table 1 summarizes the percentage of specimens PD-L1+ using different scoring criteria: ≥1% (Figure 1B) and ≥5% (Figure 1C) of tumor cells showing ≥1+ membrane staining intensity, as well as ≥25% tumor cells showing ≥2+ membrane staining intensity (Figure 1D). Among 428 ESCC specimens, 79.7%, 32.7% and 9.1% were PD-L1+ tumors using cutoff values of 1%, 5% and 25%, respectively. There was no significant difference in percentages of PD-L1+ specimens tumors between those obtained via surgery or biopsy (46/131, 35.1% PD-L1+ in surgical specimens versus 94/297, 31.6% PD-L1+ in biopsy specimens, p=0.481), suggesting that PD-L1 expression level was not affected by size of specimens.

Table 1. Distribution of PD-L1+ specimens using different scoring criteria (N=428).

Criteria for positivity Percentage of PD-L1+ Specimens
Tumor cells ≥1%* Tumor cells ≥5%@ Tumor cells ≥25%# Stromal cells ≥1% Immune cells ≥1% All cell Types ≥1%
PD-L1+ 341(79.67) 140(32.71) 39(9.11) 245(57.24) 57(13.32) 407(95.09)
PD-L1- 87(20.32) 288(67.29) 389(90.89) 183(42.76) 371(86.68) 21(4.91)

* Primary criteria used in this study: ≥1% expression on tumor cell membranes with ≥1+ intensity;

@ ≥5% expression on tumor cell membranes with ≥1+ intensity;

#≥25% expression on tumor cell membranes with ≥2+ intensity.

Figure 1. Tumor PD-L1 expressed at different levels in ESCC specimens.

Figure 1

A. PD-L1 negative; B. ≥1% PD-L1-positive tumor cells with membrane staining of any intensity; C. ≥5% PD-L1-positive tumor cells with membrane staining of any intensity; D. ≥25% PD-L1-positive tumor cells with membrane staining of at least 2+ intensity.

PD-L1 expression was found primarily on the membranes of the tumor cells (Figure 2A), and was also expressed on the membranes of tumor-infiltrating immune cells (Figure 2B) and stromal cells (Figure 2C). The rates of PD-L1+ stromal cells and immune cells was 57.2% and 13.3%, respectively (Table 1). When compared to other tumor types, for example, NSCLC, melanoma and nasopharyngeal cancer, ESCC exhibits a lower levels of PD-L1 expression when assayed using the same PD-L1 monoclonal antibody (unpublished data).

Figure 2.

Figure 2

A. PD-L1 mainly expresses on the membranes of the tumor cells; B. PD-L1 expresses on the membranes of tumor-infiltrating immune cells; C. PD-L1 expresses on stromal cells.

Three major patterns of PD-L1 expression were found in ESCC specimens: (i) a diffuse PD-L1 expression in the presence of TILs; (ii) regional expression of PD-L1 colocalized with TILs; and (iii) PD-L1 expression at the invasive front (Figure 3). PD-L1 expression was positively associated with the amount of TILs (odds ratio=1.837, 95% CI: 1.214, 2.612, p=0.0019) (Table 2).

Figure 3. Different patterns of PD-L1 expression in ESCC specimens.

Figure 3

A. Diffuse PD-L1 expression in the presence of TILs; B. Regional expression of PD-L1 colocalized with TILs; C. PD-L1 expression at the invasive front.

Table 2. PD-L1 expression and TIL density.

TIL density score Patients by PD-L1 expression status*, n (%)
Total (n=428) PD-L1+(n=341) PD-L1− (n=87)
None (0)@ 27 (6.3) 14 (51.9) 13 (48.1)
Rare (1) 131 (30.6) 95 (72.5) 36 (27.5)
Moderate (2) 198 (46.3) 174 (87.9) 24 (12.1)
High (3) 72 (18.8) 58 (80.6) 14 (19.4)

*≥1% of tumor cell membranes with ≥1+ intensity were considered PD-L1+; non-zero correlation, p=0.0019.

@ The amount of TILs was evaluated from the H&E stained specimens and assigned a semiquantitative score from 0 to 3, with 0=none, 1=rare, 2=moderate and focal infiltration of tumor, and 3=prominent and diffuse infiltration amongst tumor.

Correlation of PD-L1 expression and clinicopathological features

Among the 428 patients, the majority 335 (78.3%) were male and 247 (57.7%) were older than 60 years. According to the 7th IUCC/AJCC staging system, 157 (36.7%) and 191 (44.6%) had stage 0-II and III disease, respectively. And the majority (n=255, 59.6%) of tumor specimens showed a moderate to high differentiated tumor. The clinicopathological features of patients are summarized in Table 3.

Table 3. Clinicopathologic features of the ESCC patients.

Clinicopathologic parameter No. of patients (%)
Total PD-L1- PD-L1+ P@
Total 428 87(20.3) 341(79.7)
Age(years)
≤60 181(42.3) 39(44.8) 142(41.6) 0.591
>60 247(57.7) 48(55.2) 199(58.4)
Gender
Female 93(21.7%) 19(21.8) 74(21.7) 0.978
Male 335 (78.3%) 68(78.2) 267(78.3)
Level of differentiation
Moderate to high 257(60.0) 44(50.6) 213(62.5) 0.122
Low 142(33.2) 35(40.2) 107(31.4)
Others* 29(6.8) 8(9.2) 21(6.2)
Primary tumor location#
Upper thoracic 108(26.9) 17(20.2) 91(28.7) 0.120
Middle and lower thoracic 293(73.1) 67(79.8) 226(71.3)
Tumor invasion depth (T) #
T0 6(1.8) 4(5.8) 2(0.8) 0.080
T1 24(7.2) 5(7.2) 19(7.2)
T2 63(18.9) 13(18.8) 50(18.9)
T3 196(58.9) 40(58.0) 156(59.1)
T4 44(13.2) 7(10.1) 37(14.0)
Nodal metastasis (N) #
N0 197(51.6) 49(62.8) 148(48.7) 0.026
N+ 185(48.4) 29(37.2) 156(51.3)
TNM stage#
0-II 143(39.9) 33(46.5) 110(38.3) 0.183
III 175(48.9) 34(47.9) 141(49.1)
IV 40(11.2) 4(5.6) 36(12.5)

* Others mainly include high-grade dysplasia, carcinoma in situ

#According to the 7th IUCC/AJCC staging system, location of the primary cancer site was defined by the position of the upper (proximal) edge of the tumor in the esophagus, and the remaining missing patients were ominous

@The statistical method was chi-square test.

Statistical analyses using Spearman Rank Correlation indicated that PD-L1+ specimens were associated with aggressive clinicopathological features, which included deeper tumor invasion (p=0.037) and nodal metastasis (p=0.013). No significant association was found between PD-L1 expression and gender (p=0.545), age (p=0.943), level of differentiation (p=0.955), primary tumor location (p=0.231) or TNM stage (P=0.581).

Prognostic significance of PD-L1 expression

The correlation of PD-L1 expression with disease prognosis, as measured by disease free survival (DFS/PFS) and overall survival (OS), was analyzed separately in the definitive treatment cohort and palliative treatment cohorts.

The definitive treatment cohort comprised 250 patients, including patients who received curative esophagectomy or definitive (chemo-)radiation therapy, and excluding those who had hospital mortality (n=16) and occurrence of other primary cancer (n=7). The DFS rates at 1, 3, and 5 years, respectively, were 79.5%, 53.9%, 32.3% for PD-L1– patients and 57.8%, 31.1%, 21.3% for PD-L1+ patients. Similarly, the OS rates at 1, 3, and 5 years, respectively, were 92.5%, 55.8%, 36.5% for PD-L1– patients and 84.5%, 36.3%, 29.8% for PD-L1+ patients. DFS and OS was significantly related to PD-L1 expression (HR=1.942, 95% CI: 1.285, 2.941, p=0.001; HR=1.550, 95% CI: 1.018, 2.358, p=0.0039), PD-L1+ patients exhibited worse DFS and OS than PD-L1– patients (Figure 4A & 4B). Statistical analyses of independent factors associated with DFS and OS in definitive treatment cohort indicated that DFS was significantly related to TNM status (HR=1.541, 95% CI: 1.034, 2.229, p=0.034) and PD-L1 expression (HR=2.336, 95% CI: 1.441, 3.106, p=0.001). Similarly, OS was negatively correlated with PD-L1 expression (HR=1.873, 95% CI: 1.155, 2.331, p=0.01) and TNM status (HR=1.413, 95% CI: 0.879, 2.602, p=0.040).

Figure 4. A & B: Correlation of PD-L1 expression and DFS/OS in the definitive treatment cohort.

Figure 4

Patients in the palliative treatment cohort exhibited no significant association between PD-L1 expression and PFS (HR=0.994, 95% CI: 0.404, 2.449, p=0.990) or OS (HR=1.113, 95% CI: 0.598, 2.069, p=0.736) (Supplementary Figure 1A & 1B).

TIL density and patient prognosis

The correlation between TIL density and patient prognosis was examined. Similar to PD-L1 expression, there was no significant difference in TIL density between surgical and biopsy specimens (p=0.243), suggesting that TIL density was not affected by size of the specimens. In definitive treatment cohort, no significant correlation was observed between DFS/OS and TIL density (HR=1.370, 95% CI: 0.898, 2.090, p=0.144; HR=1.498, 95% CI: 0.931, 2.411, p=0.093) (Figure 5A & 5B). However, patients who received esophagectomy who had a high TIL score (3) showed a significantly better OS than those with a moderate (2), low (1) or none (0) TIL score (HR=2.264, 95% CI: 1.039, 4.936, p=0.035). In addition, there was no significant association between PFS or OS with TIL density in the palliative cohort (Supplementary Figure 2A & 2B).

Figure 5. Kaplan–Meier survival curve for DFS and OS depending on TIL level: A & B: Correlation of TIL level and DFS/OS in the definitive treatment cohort.

Figure 5

Changes in PD-L1, CD8 and Foxp3 in paired specimens

Expression of PD-L1 and numbers of CD8+ and Foxp3+ cells was examined in 17 paired tumor specimens. This included 3 patients who did not receive any treatment between the times when paired tumor samples were harvested (mean duration 1.16 ± 0.28 months), 9 paired specimens collected before and after 2 cycles of chemotherapy (mean duration 1.23 ± 0.24 months), and 5 paired specimens collected before and after 4 or more cycles of chemotherapy (mean duration 4.97 ± 2.22 months).

There was an increase in PD-L1 expression as disease progressed (accompanied by an increase in the depth of tumor invasion) in patients who did not receive any treatment (median PD-L1 H-score increased from 1 to 11, p=0.076), with a mean duration of 1.16 months between obtaining harvesting of the first and second tumor specimens. Representative changes in PD-L1 expression are shown in Figure 6A-6C. For patients who received 2 cycles chemotherapy, PD-L1 expression decreased after 2 cycles chemotherapy (median H-score decreased from 23 to 9, p=0.115). Representative changes of PD-L1 are shown in Figure 6D-6F. Of these 9 patients, 6 had a PR and 3 had SD. In contrast, for patients whose samples were collected after 4 or more cycles of chemotherapy, PD-L1 expression increased, consistent with the worsening prognosis of these patients (median H-score increased from 5 to 100, p=0.166). Representative changes of PD-L1 are shown in Figure 6G-6I. Of these 5 patients, 4 patients exhibited PD and 1 exhibited SD at the time of samples was obtained. None of the changes in PD-L1 H-score above represented a significant difference, potentially because of small sample sizes.

Figure 6. Changes in PD-L1 expression in paired specimens before and after different treatments: A-C: no treatment, H-score from 6 to 23; D-F: 2 cycles chemotherapy (just 1 sample showed an increase [red line]), H-score from 120 to 4; G-I: 4 or more cycles chemotherapy, H-score from 35 to 100.

Figure 6

No statistically significant change was found in CD8+ lymphocyte numbers levels between samples obtained before and after chemotherapy (p=0.151), including patients who received treated with 2 or 4 or more cycles chemotherapy between obtaining harvesting tumor specimens. Of the 14 patients with paired specimens who received chemotherapy, 10 showed an increase of CD8+ lymphocytes while 4 showed a decrease (Figure 7A). Of the 10 samples showing increased CD8+ T cell numbers, there were 6 PR, 3 SD and 1 PD, while of the 4 patients with decreased CD8+ T cell numbers, there were 3 PD and 1 SD. The median OS of the group exhibiting increased CD8+ T cells was higher than that of the group in which CD8+ T cells decreased (12.27 months vs 9.57 months; p=0.157), but the difference was not significant, potentially most likely due to the small sample size. No significance difference was found between samples obtained before and after chemotherapy in Foxp3+ lymphocytes (p=0.111). Among the 14 patients mentioned above, 7 showed an increased in Foxp3+ lymphocytes and other 7 showed a decrease (Figure 7B). Median OS was 12.26 months and 12.30 months respectively (p=0.895).

Figure 7. Changes of CD8+ A. and Foxp3+ B. lymphocytes in patients before and after chemotherapy (red line showed the decrease of CD8+ T cells and increase of Foxp3+ T cells).

Figure 7

Classification based on TILs and PD-L1 expression

Based on PD-L1 status and TIL density, ESCC specimens were classified into 4 groups. In this classification, PD-L1+ was defined as specimens with ≥1% expression on tumor cell membranes with ≥1+ intensity and a TIL score of 3 (high) was considered as TILs+. Type I was PD-L1+ and TILs+ (PD-L1+ with TILs driving adaptive immune resistance), type II was PD-L1– and TILs– (PD-L1–with no TILs indicating immune ignorance), type III was PD-L1+ and TILs– (PD-L1+ with no TILs indicating intrinsic induction), and type IV was PD-L1– and TILs+ (PD-L1– with TILs indicating the role of other suppressor(s) in promoting immune tolerance). The proportions of four types were 13.6% (58/428), 17.1% (73/428), 66.1% (283/428), and 3.3% (14/428), respectively (Table 4). There was a significant difference in OS among four types, with median OS of 30.8, 24.1, 18.3 and 27.0 months respectively for the four types (p=0.007). OS was longer for type II than type III (p=0.034), suggesting that PD-L1 positivity was associated with poor prognosis. Similarly, OS was longer for type 1 than type III (p=0.005), indicating that the presence of TILs were associated with a better prognosis. No significant difference was found between other types.

Table 4. Classification of ESCC into 4 groups according to PD-L1 expression and TIL density.

PD-L1+@ PD-L1-
TIL+* Type I Type IV
13.6% (58/428), Mean OS=30.8 mo 3.3% (14/428), Mean OS=27.0 mo
TIL- Type III Type II
66.1% (283/428), Mean OS=18.3 mo 17.1%(73/428), Mean OS=24.1 mo

* TIL+ was defined as high TIL density (score of 3)

@PDL1+ was defined as showing ≥1% PD-L1 expression on tumor cell membranes with ≥1+ intensity.

DISCUSSION

In the present study, we investigated tumor PD-L1 expression as an independent prognostic marker in ESCC patients. We also examined the importance of TILs in the tumor microenvironment. Early reports examined PD-L1 expression in smaller ESCC populations [19, 20], and results in our study are consistent with these previous reports [19, 20]. Analysis of the correlation between PD-L1 expression and clinicopathologic features suggests that tumor PD-L1 positivity might be associated with more aggressive tumor progression, including deeper tumor invasion and more nodal metastasis, which significantly negatively affects the survival of ESCC. Indeed, in our study, patients with PD-L1+ tumors were more likely to have worse outcomes, including those who underwent surgery or (chemo-)radiation. To explain this phenomenon, we must focus on the function of PD-1/PD-L1 pathway, which conveys an inhibitory signal to T cells and thus impedes immune responses [21, 22]. Multiple solid tumor types, including melanoma [23], RCC [24, 25], NSCLC [14, 26], bladder [27], breast [28], and hepatocellular carcinoma [29], generate an immunosuppressive tumor microenvironment by expressing PD-L1, thereby avoiding T cell-mediated cytolysis. Therefore, tumor PD-L1 overexpression confers a worse prognosis across multiple tumor histologies [30]. Similar to previous studies [27, 31, 32], we choose a 1% PD-L1 cut-off in this study, and found that PD-L1+ patients who received curative esophagectomy or definitive chemo-(radiation) therapy had significantly shorter DFS and OS than PD-L1– patients, and these results provide a rationale for therapeutic intervention targeted to this immunomodulatory axis in these two groups, such as adjuvant therapy with an anti-PD-1/anti-PD-L1 antibody or concurrent anti-PD-1/anti-PD-L1 antibody and radiation treatment [33]. Neither PFS nor OS were significantly different between PD-L1+ and PD-L1– patients who received palliative chemotherapy, which might because of the wide variety of chemotherapy regimens and cycles. Two studies recently defined the tumor cell PD-L1 expression score by membrane and cytoplasmic staining or cytoplasmic staining alone [34, 35]. In this study, we mainly used membranous staining as a basis for staining, but also attempted to assess PD-L1 expression in specimens using stromal cells and immune cells. To our disappointment, no difference was found using these two criteria. This suggests that PD-L1 expression on tumor cell membranes plays a more important role in the prognosis of ESCC patients.

Presence or absence of TILs is a very important factor which should be taken into account when considering administering use of an immune checkpoint inhibitor, since link to efficacy of immune checkpoint blockade requires immune cell infiltration of the tumors [14, 23, 36]. A high degree of CD8+ and CD4+ T-cell infiltration in ESCC correlated with favorable clinical outcome, suggesting that tumor antigen-specific cellular immune response plays a role in the clinical course of the disease [16, 17]. In colorectal cancer, patients with microsatellite unstable (MSI-H) primary tumors have a superior prognosis, associated with increased TILs within tumors [36, 37] and due to MSI-H tumors having an increased mutational burden resulting in increased neoantigen formation. In this study, we qualitatively evaluated TILs and found that PD-L1 expression was positively associated with TIL density. An earlier study by Taube et al. also demonstrated that the presence of TILs was strongly associated with local tumor PD-L1 expression in melanoma patients [38]. One potential explanation for this result may be that inflammatory cytokines, particularly interferon-gamma, released by TILs would induce upregulation of PD-L1 in tumors as an adaptive immune-resistance mechanism to suppress local effector T-cell function against autoimmune attack [39]. In addition, we also found that high TILs were associated with a longer OS in patients who underwent surgery. We classified ESCC tumors into four different types based on the presence or absence of TILs and PD-L1 expression in the microenvironment based on the study reported recently [40]. Incidence of a type I (PD-L1+ and & TIL+) tumor microenvironment was found in 13.6% of ESCC specimens, which was lower than that found in advanced melanoma (38.0%) [15, 38], and this is the group believed to be representis largely responding to checkpoint blockade because of preexisting intratumoral T cells whose activity is attenuated by PD-L1 engagement. The dominant type in ESCC was type III, which was defined as PD-L1+ and & TIL–; for patients of this type it may be worthwhile to consider approaches to promoted T cell infiltration of tumors. For example, radiotherapy could induce immunogenic cell death to liberate neoantigens and promote T-cell infiltration of the tumor. Concurrent use of anti-PD1/PD-L1 therapy may improve effect [41]. The proportions of patients with type II (PD-L1– and TIL–) and type IV (PD-L1– and TIL+) ESCC were very small (17.1% and 3.3%) and were lower than found in melanoma (approximately 41% and 20%). For type II patients, single-agent checkpoint blockade would not be expected to be effective, due to the lack of PD-L1 expression and pre-existing T cell infiltration [40]. Combination therapy designed to promote T cell infiltration but avoid negative regulation mitigate their attenuation, such as the combination of anti–CTLA-4 and anti–PD-1, might lead to a more robust response [42, 43]. For type IV cancers, TIL function might be targeted by other non–PD-1/PD-L1 checkpoint receptors. This types of therapeutic approaches are mostly still in their infancy and more mature data is required.

We also collected 17 paired specimens, 9 collected before and after 2 cycles of chemotherapy, 5 collected before and after 4 or more cycles of chemotherapy, and 3 collected in patients who did not receive any treatment between harvesting tumor samples (when these patients first visited the hospital, endoscopic samples were collected for diagnosis but patients refused treatment due to personal reasons; after one month or longer, patients who visited the hospital again and had a second sample collected to evaluate the patient's condition). As a validation for our hypothesis that PD-L1 expression is associated with an aggressive tumor progression, we found that PD-L1 expression increased as disease progressed. In contrast, PD-L1 expression decreased between baseline and second tumor sampling obtained after 2 cycles of chemotherapy in those with satisfactory treatment responses. Interestingly, PD-L1 expression increased after 4 or more cycles of chemotherapy in patients with worse treatment responses. Recently, a study investigated changes of PD-L1 after neoadjuvant therapy in ESCC patients. Similarly, they found a decrease in PD-L1 expression after 2 cycles of neoadjuvant chemotherapy (NAC) and an increase after neoadjuvant concurrent chemoradiotherapy [35]. However, the authors compared PD-L1 expression between diagnostic endoscopic biopsies and surgical specimens, and it is not clear whether the size of samples would affect results in his study. In our study, PD-L1 expression increased or decreased according to chemotherapy response. To date, there is no confirmed explanation for this phenomenon. We speculate that chemotherapy results in tumor shrinkage resulting in proportionally PD-L1 expression decreases, but when chemotherapy is no longer effective, tumor regrowth lead to an increase in PD-L1 expression. This might suggest that anti-PD-1/PD-L1 therapy as last-line therapy may be effective for heavily pre-treated ESCC patients [44]. However given our sample size was small, with only 17 pairs, further studies with large sample sizes are needed to confirm our data.

We also investigated the immunological impact of chemotherapy on CD8+ and Foxp3+ T cells in the ESCC tumor microenvironment. Among 14 patients who received chemotherapy, 10 exhibited an increase in CD8+ T cells. Increased levels of CD8+ T cells were associated with a better outcome, although the difference was not significant due to small number of available samples. This finding was also seen in several other studies [14, 4547], including a study in NSCLC in which CD8 was found to be an independent prognostic factor [45]. We also found that increased infiltration of CD8+ T lymphocytes into the tumor microenvironment was associated with a better response to chemotherapy. Considering the results, the cytotoxic effects of chemotherapy could result in release of various tumor antigens being into the local microenvironment, which would then inducing infiltration of T lymphocytes such as CD8+ T cells exert their antitumor activity [14]. A proportion of the residual tumor cells will still express PD-L1, combination of chemotherapy with anti-PD1/PD-L1 might enhance antitumor activity. In contrast, no obvious changes or associations were observed in Foxp3+ T cells populations.

In conclusion, PD-L1 is expressed on the cells of most (>70%) ESCC tumors, and is significantly associated with tumor aggressiveness and an enhanced risk for postoperative recurrence (shorter DFS and OS). As such, PD-L1 may represent a target for treatment of ESCC and is a potentially predictive biomarker for anti-PD-1/PD-L1 antibodies. The results presented in this study support the clinical development of PD-1/PD-L1 blockade as a treatment for ESCC. Further research investigating the effect of PD-L1/PD-1 blockade in ESCC is warranted.

MATERIALS AND METHODS

Tissue collection

Archival formalin-fixed, paraffin-embedded ESCC samples were collected from patients diagnosed with primary ESCC after surgery or by endoscopic biopsy at the Affiliated 307 Hospital Cancer Center, Beijing, P. R. China between 2004 and 2014. Serial sections of 4 μm thickness were obtained from each specimen. Histopathologic data was obtained from pathology reports, and patient survival data was obtained from the patient's attending physician. The retrieval of tissue and clinical data were performed according to the regulations of the local institutional review boards and data safety laws with specific regard to ethical standards and patient confidentiality (Ethics No. ky-2016-2-12).

Patient information and treatment

Conventional clinicopathologic variables, including age, gender, level of differentiation, primary tumor location, tumor invasion depth (T), nodal metastasis (N), distant metastasis (M), TNM stage, and treatment received were collected from patients' attending physicians. Tumor stage was determined according to the 7th American Joint Committee on Cancer/International Union Against Cancer tumor-node-metastasis (TNM) classification system (2009).

A subset of patients underwent right or left thoracotomy for curative resection by total or subtotal thoracic esophagectomy, in addition to regional lymphadenectomy; none underwent transhiatal esophagectomy. Regional lymph nodes included not only mediastinal but also perigastric nodes, thus regional lymphadenectomy represented at least a two-field lymphadenectomy. Esophageal reconstruction was performed using the stomach, colon, or jejunum. Postoperative treatment was recommended for patients with pathologically confirmed metastasis to the lymph nodes or deep tumor invasion (≥T3), and patients without severe postoperative complications. Postoperative treatment included adjuvant chemotherapy, radiotherapy or chemoradiotherapy. The first cycle of adjuvant chemotherapy was administered 4-5 weeks after surgery, and consisted of cisplatin and 5-FU or cisplatin and paclitaxel at standard doses. Adjuvant radiation therapy was administrated 4-5 weeks after surgery, and included external beam radiation with four fields of 6 MV photons to a total dose of 50.4-60 Gy using 1.8-2 Gy daily fractions in 5 weeks. Positioning of the fields and dosimetry were studied using a CT scan and 3D treatment plan. For adjuvant chemoradiotherapy, the radiation therapy program was the same as that described above, and chemotherapy regimens consisted of cisplatin or paclitaxel or 5-FU administered concurrently with radiation.

Patients who were unfit for surgery due to the presence of comorbidities or other risk factors received definitive (chemo-)radiation at ≥50.4 Gy. For tumors of the cervical esophagus, high dose (60-66 Gy) definitive (chemo)-radiation therapy was prescribed. Patients with metastatic or unresectable esophageal cancer received palliative chemotherapy. Chemotherapy regimens consisted of cisplatin, taxanes (paclitaxel or docetaxel), fluorouracil (5-FU, capecitabin, S-1) or others. All chemotherapeutic drugs were prescribed at standard doses. The clinical criteria for response were defined by RECIST 1.1.

Immunohistochemistry

Expression of PD-L1 in ESCC tumor specimens was assessed by IHC with an Autostainer Plus (Dako-Agilent Technologies), utilizing a proprietary PD-L1 antibody (rabbit monoclonal antibody clone 73-10, Merck KGaA, Darmstadt, Germany) at 1:1000 dilution. Human tonsil and muscle tissue served as positive and negative control tissue, respectively. Both CD8 and Foxp3 antibodies were purchased from Abcam and used at 1:200 dilution. Sections were baked for 60 min at 60°C in a dehydration oven and dewaxed and rehydrated using xylene and graded alcohol washes. Antigen retrieval and deparaffinization were carried out using the EnVisionTM FLEX Target Retrieval Solutions (Dako), and then cooled to room temperature in TBST wash buffer for 5 min, then incubated with the primary antibodies. Antibody detection was visualized using DAB chromagen according to the manufacturer's instructions (Dako). Slides were counterstained with hematoxylin.

Quantification of PD-L1 expression and immune-cell infiltration

PD-L1 expression on the membranes of tumor cells and TIL/histiocytes was scored blindly. Frequency of PD-L1+ cells and staining intensity were analyzed and every tumor specimen was scored according to the intensity of PD-L1 staining (no staining = 0, weak staining = 1, moderate staining = 2, strong staining = 3). In tumor cells, PD-L1+ by a 1% cut off was defined as specimen with ≥1% membranous expression on tumor cells with ≥1+ intensity, PD-L1+ by a 5% cut off was defined as specimens with ≥5% membranous expression on tumor cells with ≥1+ intensity, and PD-L1+ by a 25% cut off was defined as specimens with ≥25% membranous expression on tumor cells with ≥2+ intensity. Positive PD-L1 expression on lymphoid cells and stromal cells was defined as ≥1% positive cells with membranous staining at ≥1+ intensity. The degree of infiltration by TILs was evaluated from the H&E-stained specimens and scored from 0 to 3: 0 = none; 1 = rare; 2 = moderate and focal infiltration; and 3 = prominent and diffuse infiltration (high). Quantitative evaluation of CD8+ and Foxp3+ cells was carried out using 5 to 10 areas with the most abundant distribution within the tumor using an ocular grid at X200 magnification in a blinded manner. The average numbers of cells were used for statistical analysis.

Statistical analysis

Disease-free survival (DFS) time was defined as the period from the date of surgery to confirmed tumor relapse date for relapsed patients or from the date of surgery to the date of last follow-up for nonrecurrent patients. Progression-free survival (PFS) time was defined as the period from the date of initiation of first-line chemotherapy to the date of tumor progress or last follow up for patients without tumor progression. All patients who did not experience the event of interest were censored at the last follow-up date.

The distributions of patient and clinical characteristics between PD-L1+ and PD-L1- were compared using Chi-square test, Wilcoxon rank-sum test, or two-sample T test, when appropriate. The correlation between PD-L1 expression and other factors (e.g. TILs, stage) was analyzed using Spearman's rank correlation. Survival curves were estimated by the Kaplan-Meier method and compared using the log-rank test. The stepwise Cox-regression model was used to identify factors significantly related to OS and DFS (PFS). P<0.05 (two-tailed) was considered to indicate statistical significance. All statistical analyses were performed using SAS 9.3.

SUPPLEMENTARY FIGURES

Acknowledgments

PD-L1 antibody used in this study was provided by Merck KGaA, Darmstadt, Germany.

Footnotes

CONFLICTS OF INTEREST

The Authors do not have any conflicts of interest.

Authors’ contributions

Conception and design: Jianming Xu, Angela Wong, Yubo Jiang

Development of methodology: Yubo Jiang, Angela Wong

Acquisition of data (acquired and managed patients, etc.): Yubo Jiang, Yan Wang, Li Lin

Analysis and interpretation of data (statistical analysis, computational analysis, etc.): Yubo Jiang, Wenfeng Chen, Angela Wong, Anthony W.I. Lo.

Writing, review, and/or revision of the manuscript: Yubo Jiang, Angela Wong, Jianming Xu

Administrative, technical, or material support: Yubo Jiang, Yan Wang, Li Lin, Jianming Xu

Study supervision: Jianming Xu.

REFERENCES

  • 1.Rustgi AK, El-Serag HB. Esophageal carcinoma. N Engl J Med. 2014;371:2499–509. doi: 10.1056/NEJMra1314530. [DOI] [PubMed] [Google Scholar]
  • 2.Hagen P, Hulshof MC, Lanschot JJ, Steyerberg EW, van Berge Henegouwen MI, Wijnhoven BP, Richel DJ, Nieuwenhuijzen GA, Hospers GA, Bonenkamp JJ, Cuesta MA, Blaisse RJ, Busch OR, et al. Preoperative chemoradiotherapy for esophageal or junctional cancer. N Engl J Med. 2012;366:2074–2084. doi: 10.1056/NEJMoa1112088. [DOI] [PubMed] [Google Scholar]
  • 3.Wheeler J B, Reed C E. Epidemiology of esophageal cancer. SurgClin North Am. 2012;9:1077–1087. doi: 10.1016/j.suc.2012.07.008. [DOI] [PubMed] [Google Scholar]
  • 4.Haefner MF, Lang K, Krug D, Koerber SA, Uhlmann L, Kieser M, Debus J, Sterzing F. Prognostic factors, patterns of recurrence and toxicity for patients with esophageal cancer undergoing definitive radiotherapy or chemo-radiotherapy. J Radiat Res. 2015;56:742–9. doi: 10.1093/jrr/rrv022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Yamasaki M, Miyata H, Tanaka K, Shiraishi O, Motoori M, Peng YF, Yasuda T, Yano M, Shiozaki H, Mori M, Doki Y. Multicenter phase I / II study of docetaxel, cisplatin and fluorouracil combination chemotherapy in patients with advanced or recurrent squamous cell carcinoma of the esophagus. Oncology. 2011;80:307–13. doi: 10.1159/000329806. [DOI] [PubMed] [Google Scholar]
  • 6.Tamura S, Imano M, Takiuchi H, Kobayashi K, Imamoto H, Miki H, Goto Y, Aoki T, Peng YF, Tsujinaka T, Furukawa H, Osaka Gastrointestinal Cancer Chemotherapy Study Group Phase II study of docetaxel, cisplatin and 5-fluorouracil (DCF) for metastatic esophageal cancer (OGSG 0403) Anticancer Res. 2012;32:1403–8. [PubMed] [Google Scholar]
  • 7.Kuwano H, Nishimura Y, Oyama T, Kato H, Kitagawa Y, Kusano M, Shimada H, Takiuchi H, Toh Y, Doki Y, Naomoto Y, Matsubara H, Miyazaki T, et al. Guidelines for Diagnosis and Treatment of Carcinoma of the Esophagus April 2012 edited by the Japan Esophageal Society. Esophagus. 2015;12:1–30. doi: 10.1007/s10388-014-0465-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Patel SP, Kurzrock R. PD-L1 Expression as a Predictive Biomarker in Cancer Immunotherapy. Mol Cancer Ther. 2015;14:847–56. doi: 10.1158/1535-7163.MCT-14-0983. [DOI] [PubMed] [Google Scholar]
  • 9.Pardoll DM. The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer. 2012;12:252–64. doi: 10.1038/nrc3239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Barber DL, Wherry EJ, Masopust D, Zhu B, Allison JP, Sharpe AH, Freeman GJ, Ahmed R. Restoring function in exhausted CD8 T cells during chronic viral infection. Nature. 2006;439:682–7. doi: 10.1038/nature04444. [DOI] [PubMed] [Google Scholar]
  • 11.Blank C, Mackensen A. Contribution of the PD-L1/PD-1 pathway to T-cell exhaustion: an update on implications for chronic infections and tumor evasion. Cancer Immunology Immunotherapy. 2007;56:739–45. doi: 10.1007/s00262-006-0272-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Blank C, Gajewski T, Mackensen A. Interaction of PD-L1 on tumor cells with PD-1 on tumor-specific T cells as a mechanism of immune evasion: implications for tumor immunotherapy. Cancer Immunology, Immunotherapy. 2005;54:307–14. doi: 10.1007/s00262-004-0593-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Brahmer JR, Tykodi SS, Chow LQ, Hwu WJ, Topalian SL, Hwu P, Drake CG, Camacho LH, Kauh J, Odunsi K, Pitot HC, Hamid O, Bhatia S, et al. Safety and activity of anti-PD-L1 antibody in patients with advanced cancer. N Engl J Med. 2012;366:2455–65. doi: 10.1056/NEJMoa1200694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Topalian SL, Hodi FS, Brahmer JR, Gettinger SN, Smith DC, McDermott DF, Powderly JD, Carvajal RD, Sosman JA, Atkins MB, Leming PD, Spigel DR, Antonia SJ, et al. Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N Engl J Med. 2012;366:2443–54. doi: 10.1056/NEJMoa1200690. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Taube JM, Klein A, Brahmer JR, Xu H, Pan X, Kim JH, Chen L, Pardoll DM, Topalian SL, Anders RA. Association of PD-1, PD-1 ligands, and other features of the tumor immune microenvironment with response to anti-PD-1 therapy. Clin Cancer Res. 2014;20:5064–5074. doi: 10.1158/1078-0432.CCR-13-3271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Schumacher K, Haensch W, Röefzaad C, Schlag PM. Prognostic significance of activated CD8(+) T cell infiltrations within esophageal carcinomas. Cancer Res. 2001;61:3932–6. [PubMed] [Google Scholar]
  • 17.Tsuchikawa T, Ikeda H, Cho Y, Miyamoto M, Shichinohe T, Hirano S, Kondo S. Association of CD8+ T cell infiltration in oesophageal carcinoma lesions with human leucocyte antigen (HLA) class I antigen expression and survival. Clin Exp Immunol. 2011;164:50–6. doi: 10.1111/j.1365-2249.2010.04311.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Brambilla E, Le Teuff G, Marguet S, Lantuejoul S, Dunant A, Graziano S, Pirker R, Douillard JY, Le Chevalier T, Filipits M, Rosell R, Kratzke R, Popper H, et al. Prognostic Effect of Tumor Lymphocytic Infiltration in Resectable Non–Small-Cell Lung Cancer. J Clin Oncol. 2016;34:1223–30. doi: 10.1200/JCO.2015.63.0970. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Ohigashi Y, Sho M, Yamada Y, Tsurui Y, Hamada K, Ikeda N, Mizuno T, Yoriki R, Kashizuka H, Yane K, Tsushima F, Otsuki N, Yagita H, et al. Clinical significance of programmed death-1 ligand-1 and programmed death-1 ligand-2 expression in human esophageal cancer. Clin Cancer Res. 2005;11:2947–53. doi: 10.1158/1078-0432.CCR-04-1469. [DOI] [PubMed] [Google Scholar]
  • 20.Chen L, Deng H, Lu M, Xu B, Wang Q, Jiang J, Wu C. B7-H1 expression associates with tumor invasion and predicts patient’s survival in human esophageal cancer. Int J Clin Exp Pathol. 2014;7:6015–23. [PMC free article] [PubMed] [Google Scholar]
  • 21.Bour-Jordan H, Esensten JH, Martinez-Llordella M, Penaranda C, Stumpf M, Bluestone JA. Intrinsic and extrinsic control of peripheral T-cell tolerance by costimulatory molecules of the CD28/B7 family. Immunol Rev. 2011;241:180–205. doi: 10.1111/j.1600-065X.2011.01011.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Butte MJ, Keir ME, Phamduy TB, Sharpe AH, Freeman GJ. Programmed death-1 ligand 1 interacts specifically with the B7-1 costimulatory molecule to inhibit T cell responses. Immunity. 2007;27:111–22. doi: 10.1016/j.immuni.2007.05.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Hodi FS, O’Day SJ, McDermott DF, Weber RW, Sosman JA, Haanen JB, Gonzalez R, Robert C, Schadendorf D, Hassel JC, Akerley W, van den Eertwegh AJ, Lutzky J, et al. Improved survival with ipilimumab in patients with metastatic melanoma. N Engl J Med. 2010;363:711–23. doi: 10.1056/NEJMoa1003466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Choueiri TK, Fay AP, Gray KP, Callea M, Ho TH, Albiges L, Bellmunt J, Song J, Carvo I, Lampron M, Stanton ML, Hodi FS, McDermott DF, et al. PD-L1 expression in nonclear-cell renal cell carcinoma. Ann Oncol. 2014;25:2178–84. doi: 10.1093/annonc/mdu445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Thompson RH, Kuntz SM, Leibovich BC, Dong H, Lohse CM, Webster WS, Sengupta S, Frank I, Parker AS, Zincke H, Blute ML, Sebo TJ, Cheville JC, et al. Tumor B7-H1 Is Associated with Poor Prognosis in Renal Cell Carcinoma Patients with Long-term Follow-up. Cancer Res. 2006;66:3381–5. doi: 10.1158/0008-5472.CAN-05-4303. [DOI] [PubMed] [Google Scholar]
  • 26.Herbst RS, Soria JC, Kowanetz M, Fine GD, Hamid O, Gordon MS, Sosman JA, McDermott DF, Powderly JD, Gettinger SN, Kohrt HE, Horn L, Lawrence DP, et al. Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients. Nature. 2014;515:563–7. doi: 10.1038/nature14011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Powles T, Eder JP, Fine GD, Braiteh FS, Loriot Y, Cruz C, Bellmunt J, Burris HA, Petrylak DP, Teng SL, Shen X, Boyd Z, Hegde PS, et al. MPDL3280A (anti-PD-L1) treatment leads to clinical activity in metastatic bladder cancer. Nature. 2014;515:558–62. doi: 10.1038/nature13904. [DOI] [PubMed] [Google Scholar]
  • 28.Muenst S, Schaerli AR, Gao F, Däster S, Trella E, Droeser RA, Muraro MG, Zajac P, Zanetti R, Gillanders WE, Weber WP, Soysal SD. Expression of programmed death ligand 1 (PD-L1) is associated with poor prognosis in human breast cancer. Breast Cancer Res Treat. 2014;146:15–24. doi: 10.1007/s10549-014-2988-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Gao Q, Wang XY, Qiu SJ, Yamato I, Sho M, Nakajima Y, Zhou J, Li BZ, Shi YH, Xiao YS, Xu Y, Fan J. Overexpression of PD-L1 significantly associates with tumor aggressiveness and postoperative recurrence in human hepatocellular carcinoma. Clin Cancer Res. 2009;15:971–9. doi: 10.1158/1078-0432.CCR-08-1608. [DOI] [PubMed] [Google Scholar]
  • 30.Chen MF, Chen PT, Chen WC, Lu MS, Lin PY, Lee KD. The role of PD-L1 in the radiation response and prognosis for esophageal squamous cell carcinoma related to IL-6 and T-cell immunosuppression. Oncotarget. 2016;7:7913–24. doi: 10.18632/oncotarget.6861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Plimack ER, Gupta S, Bellmunt J, Berger R, Montgomery B, Gonzalez EJ. Phase 1B study of pembrolizumab (pembro; MK-3475) in patients (pts) with advanced urothelial tract cancer [abstract] Ann Oncol (Meeting Abstracts) 2014;25:LBA23A. [Google Scholar]
  • 32.Kakavand H, Vilain RE, Wilmott JS, Burke H, Yearley JH, Thompson JF, Hersey P, Long GV, Scolyer RA. Tumor PD-L1 expression, immune cell correlates and PD-1+ lymphocytes in sentinel lymph node melanoma metastases. Mod Pathol. 2015;28:1535–44. doi: 10.1038/modpathol.2015.110. [DOI] [PubMed] [Google Scholar]
  • 33.Sunshine J, Taube JM. PD-1/PD-L1 inhibitors. Curr Opin Pharmacol. 2015;23:32–8. doi: 10.1016/j.coph.2015.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Lim SH, Hong M, Ahn S, Choi YL, Kim KM, Oh D, Ahn YC, Jung SH, Ahn MJ, Park K, Zo J, Shim YM, Sun JM. Changes in tumor expression of programmed death-ligand 1 after neoadjuvant concurrent chemoradiotherapy in patients with squamous oesophageal cancer. Eur J Cancer. 2016;52:1–9. doi: 10.1016/j.ejca.2015.09.019. [DOI] [PubMed] [Google Scholar]
  • 35.Tanaka K, Miyata H, Sugimura K, Kanemura T, Hamada-Uematsu M, Mizote Y, Yamasaki M, Wada H, Nakajima K, Takiguchi S, Mori M, Doki Y, Tahara H. Negative influence of programmed death-1-ligands on the survival of esophageal cancer patients treated with chemotherapy. Cancer Sci. 2016;107:726–33. doi: 10.1111/cas.12938. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Brown SD, Warren RL, Gibb EA, Martin SD, Spinelli JJ, Nelson BH, Holt RA. Neo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival. Genome Res. 2014;24:743–50. doi: 10.1101/gr.165985.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Tougeron D, Fauquembergue E, Rouquette A, Le Pessot F, Sesboüé R, Laurent M, Berthet P, Mauillon J, Di Fiore F, Sabourin JC, Michel P, Tosi M, Frébourg T, et al. Tumor-infiltrating lymphocytes in colorectal cancers with microsatellite instability are correlated with the number and spectrum of frameshift mutations. Mod Pathol. 2009;22:1186–95. doi: 10.1038/modpathol.2009.80. [DOI] [PubMed] [Google Scholar]
  • 38.Taube JM, Anders RA, Young GD, Xu H, Sharma R, McMiller TL, Chen S, Klein AP, Pardoll DM, Topalian SL, Chen L. Colocalization of inflammatory response with B7-h1 expression in human melanocytic lesions supports an adaptive resistance mechanism of immune escape. Sci Transl Med. 2012;4:127–37. doi: 10.1126/scitranslmed.3003689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Pardoll DM. The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer. 2012;12:252–64. doi: 10.1038/nrc3239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Teng MW, Ngiow SF, Ribas A, Smyth MJ. Classifying Cancers Based on T-cell Infiltration and PD-L1. Cancer Res. 2015;75:2139–45. doi: 10.1158/0008-5472.CAN-15-0255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Kalbasi A, June CH, Haas N, Vapiwala N. Radiation and immunotherapy: a synergistic combination. J Clin Invest. 2013;123:2756–63. doi: 10.1172/JCI69219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Huang RR, Jalil J, Economou JS, Chmielowski B, Koya RC, Mok S, Sazegar H, Seja E, Villanueva A, Gomez-Navarro J, Glaspy JA, Cochran AJ, Ribas A. CTLA4 blockade induces frequent tumor infiltration by activated lymphocytes regardless of clinical responses in humans. Clin Cancer Res. 2011;17:4101–9. doi: 10.1158/1078-0432.CCR-11-0407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Wolchok JD, Kluger H, Callahan MK, Postow MA, Rizvi NA, Lesokhin AM, Segal NH, Ariyan CE, Gordon RA, Reed K, Burke MM, Caldwell A, Kronenberg SA, et al. Nivolumab plus ipilimumab in advanced melanoma. N Engl J Med. 2013;369:122–33. doi: 10.1056/NEJMoa1302369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Luo M, Fu L. The effect of chemotherapy on programmed cell death 1/programmed cell death 1 ligand axis: some chemotherapeutical drugs may finally work through immune response. Oncotarget. 2016;7:29794–803. doi: 10.18632/oncotarget.7631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Schalper KA, Brown J, Carvajal-Hausdorf D, McLaughlin J, Velcheti V, Syrigos KN, Herbst RS, Rimm DL. Objective measurement and clinical significance of TILs in non–small cell lung cancer. J Natl Cancer Inst. 2015;107:1–9. doi: 10.1093/jnci/dju435. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Wang J, Jia Y, Wang N, Zhang X, Tan B, Zhang G, Cheng Y. The clinical significance of tumor-infiltrating neutrophils and neutrophil-to-CD8+ lymphocyte ratio in patients with resectable esophageal squamous cell carcinoma. J Transl Med. 2014;12:1–10. doi: 10.1186/1479-5876-12-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Cho Y, Miyamoto M, Kato K, Fukunaga A, Shichinohe T, Kawarada Y, Hida Y, Oshikiri T, Kurokawa T, Suzuoki M, Nakakubo Y, Hiraoka K, Murakami S. CD4+ and CD8+ T cells cooperate to improve prognosis of patients with esophageal squamous cell carcinoma. Cancer Res. 2003;63:1555–9. [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials


Articles from Oncotarget are provided here courtesy of Impact Journals, LLC

RESOURCES