Mismatch repair status and high expression of PD-L1 in nasopharyngeal carcinoma

Abstract

Purpose

To analyze the mismatch repair (MMR) status and PD-L1 expression in nasopharyngeal carcinoma (NPC), and investigate whether PD-L1 and MMR status could be used as a biomarker for predicting response of immune checkpoint blockades (ICBs) treatment.

Patients and methods

A total of 108 patients were initially histopathologically diagnosed with NPC between December 2017 and September 2018. All tissue specimens were collected before any treatment. Tumor tissue MMR status was determined by both immunohistochemistry and PCR. The expression of PD-L1 in NPC tissue was analyzed immunohistochemically. High PD-L1 expression in tumor cells (TC) or tumor-infiltrating immune cells (TIIC) was defined as ≥50% of corresponding cells with membranous staining.

Results

Tissue samples were obtained from 102 patients after written informed consent was obtained. Seventy-one (69.6%) patients were treated in our hospital after diagnosis. Disease in stages I–III accounted for 35 (49.3%) cases, while stage IVa–IVb was identified in 36 (50.7%) cases. Only two of 102 patients were identified as MMR-deficient (dMMR) by IHC and PCR. High PD-L1 expression in TC was confirmed in 77 of the 102 (75.5%) NPC cases, while only 13 of the 102 (12.7%) NPC cases were considered to exhibit high PD-L1 expression in TIIC. PD-L1 expression in TC was positively correlated with T stage (P=0.033), while PD-L1 expression in TIIC was negatively associated with plasma Epstein–Barr virus DNA load (P=0.021), N stage (P=0.009), M stage (P=0.014), and clinical stage (P=0.001).

Conclusion

dMMR is a rare event in NPC and may not be a prospective biomarker to predict the effectiveness of treatment with ICBs in clinical practice. It was also determined that high PD-L1 expression in NPC is quite common and the importance of distinguishing PD-L1 expression in TC and TIIC was highlighted.

Keywords:

• immunotherapy
• biomarker
• microsatellite instability
• PD-L1
• tumor-infiltrating immune cells

Introduction

As we approach the era of cancer immunotherapy, immune checkpoint blockades (ICBs) have changed the landscape of advanced tumor therapy by harnessing the power of the immune system to cure cancer. ¹ One of the ICBs, which targets to blockade the programmed cell death protein 1 (PD-1) or programmed cell death ligand 1 (PD-L1), has dramatically improved the disease outcome of several malignancies, such as melanoma, non-small-cell lung cancer (NSCLC), colorectal cancer, lymphomas, renal cell carcinoma, and head and neck squamous cell carcinoma (HNSCC). ^2–6 Although the PD-1/PD-L1 blockade enables persistent control of diseases and even cures, considerable time is required before a response is elicited, the treatment is costly, and an approximate objective response rate (ORR) of only 20% is achieved in solid tumors. ^2,4,7,8

Oncologists have investigated many strategies to promote the effectiveness of ICBs. One of the main methods is the development of prospective biomarkers of response to ICBs; another approach is the development of a reasonable combination therapy. PD-L1 expression on tumor cells has been explored as a prospective biomarker to identify subgroup patients since the early phase of the development of these ICBs. In the Keynote-001 Phase I study of PD-1 blockade in advanced NSCLC patients, Garon et al⁹ found that patients with PD-L1-positive tumors (defined as ≥50% of tumor cells with PD-L1 membranous staining) had a higher ORR and longer progression-free survival (PFS) and overall survival (OS) compared with patients with PD-L1-negative tumors. Researchers observed similar results in a Phase III study of Keynote-024 and defined the cutoff value of PD-L1 expression as 50%. ¹⁰ The US Food and Drug Administration (FDA) approved pembrolizumab as a first-line treatment for patients with metastatic NSCLC whose tumoral PD-L1 expression exceeded 50% on the basis of these clinical results. Other biomarkers, such as deficient mismatch repair (dMMR), have also been developed for use in precision cancer immunotherapy. A Phase II study of the clinical effectiveness of PD-1 inhibitor showed that the immune-related ORR was 40% in patients with dMMR colorectal cancer (CRC), whereas the ORR was 0% in patients with proficient mismatch repair (pMMR) CRC. ¹¹ The ORR in patients with dMMR non-CRC was similar to that of patients with dMMR CRC. ¹¹ This observation was confirmed in an expanded study of patients with advanced dMMR cancers across 12 different tumor types. ¹² Based on these studies, pembrolizumab was approved by the FDA for treatment of patients with microsatellite instability-high (MSI-H) or dMMR solid tumors in May 2017. However, nasopharyngeal carcinoma (NPC) was not included in the 12 cancers assessed in that trial. ¹²

NPC is distinct from other head and neck cancers and is characterized by a unique group of geographical, etiological, and biological features. ¹³ Although the 5-year OS in early-stage disease is over 80%, the 5-year OS of recurrent and distant metastatic NPC is poor,¹⁴ suggesting that a substantial unmet need exists for better treatment strategies. Few clinical trials of ICB treatment for advanced NPC have been completed, with ORRs of only 20.5% (9/44) and 25.9% (7/27);^15,16 effective prospective biomarkers were not identified in either study.

In this study, we comprehensively analyzed the MMR status in patients diagnosed with NPC using immunohistochemistry (IHC) and polymerase chain reaction (PCR,) and analyzed their PD-L1 status to clarify the role of MMR proteins as predictive biomarkers for ICBs.

Materials and methods

Patients and tissue samples

A total of 108 patients were initially histopathologically diagnosed with NPC between December 2017 and September 2018 at the First Affiliated Hospital of Xiamen University. Six patients disagreed to join with our research. Tissue samples were obtained from 102 patients after written informed consent was obtained. All tissue specimens were collected before any treatments. The immunostained tissue sections were scored by two independent investigators who were blinded to the clinical data. Complete blood cell counts were detected for every patient within 30 days before biopsy. The Epstein–Barr virus (EBV) DNA load in plasma was analyzed by PCR if approved by the individual patient. Clinical stage was determined by the physician according to the eighth edition of the American Joint Committee on Cancer (AJCC) staging of NPC. This study was approved by the Clinical Research Ethics Committee of the First Affiliated Hospital of Xiamen University and conducted in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

MMR status

Tumor tissue MMR status was determined by both IHC and PCR. The formalin-fixed, paraffin-embedded (FFPE) tumor tissue sections were subjected to IHC examination using primary antibodies against MLH1 (G168-15 clone, MXB), MSH6 (44 clone, MXB), MSH2 (FE11 clone, Dako, Glostrup, Denmark), and PMS2 (EP51 clone, Dako). DNA was extracted from tumor tissues and peripheral blood. We used the MSI Multiplex System (Promega, Madison, WI, USA) with five mononucleotide markers for the detection of MSI: NR-21, BAT-26, BAT-25, NR-24, and MONO-27. ¹⁷ Separation and detection of amplified fragments were performed on an ABI PRISM 3500 Genetic Analyzer (Applied Biosystems, Foster City, CA, USA) following the manufacturer’s protocol. Allelic patterns or genotypes of paired normal and tumor tissues were compared, and samples with more than two microsatellites were considered MSI-H. In addition, two pentanucleotide markers (Penta C and Penta D) were attached to identify sample mix-ups and/or contamination.

PD-L1 IHC, EBV status, and Ki67 expression

FFPE NPC tissues were sectioned to 4-µm thickness. For immunohistochemical detection of PD-L1, we used the BenchMark GX automated slide stainer to stain the sections with PD-L1 antibody (SP263, Ventana, Oro Valley, AZ, USA) according to the manufacturer’s recommended protocol. Positive control (placenta) and negative control samples were run simultaneously with each specimen. EBV status was determined by EBV-encoded small RNA (EBER) in situ hybridization using standard protocols. For Ki67 expression detection, the FFPE tumor tissue sections were incubated with a monoclonal anti-Ki67 antibody (MIB-1, MXB) at a dilution of 1:100 at 4°C overnight according to the manufacturer’s instructions.

Statistical analysis

All statistical analyses were conducted by using SPSS 22.0 statistical analysis software. The distribution of PD-L1 expression in tumor cells (TC) and tumor-infiltrating immune cells (TIIC) was significantly different from the normal distribution (Shapiro–Wilk test); therefore, we used Spearman rank correlation for analyses. The test was used to analyze the association of PD-L1 expression in TC or TIIC with clinical characteristics of NPC patients, where appropriate. All tests were two-sided, and a P-value less than 0.05 was considered statistically significant.

Results

Characteristics of the patients

The clinical characteristics of the 102 NPC patients in this study are summarized in Table 1. The median age of the patients was 49 years (range=23–76 years). The majority of NPC patients were men (66, 64.7%). Fifty-one (50%) patients were current or former smokers. Histologically, one NPC patient was WHO I type, 20 patients were WHO II type, and 81 were WHO III type. The median derived neutrophil– lymphocyte ratio (dNLR) was 1.65 (range=0.75–5.76), and the median Ki67 expression was 70% (range=20%–90%). The total number of EBV-infected patients in the overall NPC cohort was 101. Sites for NPC collection included the nasopharynx, lymph nodes, lungs, and epidural tissue. A total of 79 (77.5%) patients were assessed for EBV DNA load. Seventy-one (69.6%) patients were treated in our hospital after diagnosis. Disease in stages I–III accounted for 35 (49.3%) cases, while stage IVa–IVb was identified in 36 (50.7%) cases.

Table 1 Patient characteristics

Variable	Number	Percentage
Age (years)
Median (range)	49 (23–76)
<45	36	35.3
≥45	66	64.7
Gender
Male	66	64.7
Female	36	35.3
Smoking history
Non-smoker	51	50.0
Smoker	51	50.0
WHO classification
I	1	1.0
II	21	20.6
III	80	78.4
Ki67 expression
Mean (Range)	70% (20%–90%)
dNLR
Mean (Range)	1.65 (0.75–5.76)
EBV-DNA in plasmaa
<50 IU/mL	19	24.1
≥50 IU/mL	60	75.9
T stageb
T1/T2	21	29.6
T3/T4	50	70.4
N stageb
N0/N1	24	33.8
N2/N3	47	66.2
M stageb
M0	61	85.9
M1	10	14.1
Clinical stageb
I/II/III	35	49.3
IVa/IVb	36	50.7

Notes:

a The EBV DNA load in complete blood and plasma was detected for 79 patients following consent.

b Seventy-one patients were treated in our hospital after diagnosis; their TNM stage and clinical stage were known.

Abbreviations: dNLR, derived neutrophil–lymphocyte ratio; EBV, Epstein–Barr virus; M metastasis; N, node; T, tumor.

MMR status

One of 102 patients was identified as dMMR by IHC; the MSH2 and MSH6 IHC were negative (Figure 1). This patient was a 41-year-old woman with WHO III type and stage IVa (T3N3M0) NPC. We marked this female patient as patient I. She was a non-smoker and had a plasma EBV DNA level of 1.48×10⁴ IU/mL. PD-L1 expression was observed in 100% of TC and 10% of TIIC. Interestingly, the MMR protein IHC of a male patient was inconsistent, and we marked this male patient as patient II. Both of our pathologists considered some cancer nests negative for MMR proteins, while other cancer nests were positive in the same section (Figure 2). We suspected that this phenomenon was due to tumor heterogeneity or chimerism of patient II. The peripheral blood chromosome karyotype of patient II was analyzed with a negative result. MMR protein IHC of serial sections was performed again with cytokeratin (CK)–5/6 IHC. The cancer nest areas negative for MMR proteins were confirmed as the tumor cell region, and the MMR protein-positive area was determined to not be a tumor cell region by CK5/6 IHC (Figure 3). Thus, IHC of all four MMR proteins (MLH1, PMS2, MSH2, and MSH6) was negative, indicating that patient II had a dMMR tumor. This patient was a 63-year-old male heavy smoker with WHO II type and stage IVb (T4N0M1) NPC. His plasma EBV DNA level was 1.23×10³ IU/mL. PD-L1 expression was observed in 60% of TC and 30% of TIIC. PCR also indicated that these two patients had MSI tumors (Figure 4), whereas the other patients had microsatellite stable (MSS) tumors.

Figure 1 Immunohistochemistry of the MMR proteins. The tumor cells were assessed for expression of PMS2 (+), MLH1 (+), MSH2 (−), and MSH6 (−).

Abbreviation: MMR, mismatch repair.

Figure 2 Immunohistochemistry of the MMR proteins. The tumor cells were assessed for expression of PMS2, MLH1, MSH2, and MSH6. The cancer nests in the bottom left are negative for MMR proteins, while those in the top right are all positive.

Abbreviation: MMR, mismatch repair.

Figure 3 Immunohistochemistry of the cytokeratin (CK)–5/6 protein. The cells in the bottom left are tumor cells, whereas those in the top right are lymphocytes.

Figure 4 Capillary electrophoresis results from the MSI Multiplex System.

Notes: The shift in the size (bases) of the amplification products from tumor tissue (B) compared with the normal tissue specimen (A) was observed at two mononucleotide repeat loci (NR-21 and MONO-27), while the two pentanucleotide repeats (Penta C and Penta D) remained unchanged. Red arrows represent the NR-21, and blue arrows represent the MONO-27.

PD-L1 expression

The proportion of PD-L1 expression in TC and TIIC is presented in Table 2. The typical IHC staining of PD-L1 with low and high expression is revealed in Figure 5. Negative PD-L1 expression in TC was observed in one of the 102 (1%) NPC cases. High PD-L1 expression, defined as ≥50% of TC with membranous staining, was confirmed in 77 of the 102 (75.5%) NPC cases. PD-L1 expression in TC was not associated with age, gender, smoking history, Ki67 expression, dNLR, N stage, M stage, and clinical stage. Although the cutoff of PD-L1 expression in TIIC was identical to that in TC, only 13 of the 102 (12.7%) NPC cases were considered to exhibit high PD-L1 expression. PD-L1 expression in TC was only correlated with T stage (P=0.033; coefficient =0.254). Furthermore, the PD-L1 expression in TIIC was significantly negatively associated with plasma EBV DNA load (P=0.021; coefficient =−0.259), N stage (P=0.009; coefficient =−0.309), M stage (P=0.014; coefficient =−0.291), and clinical stage (P=0.001), but not significantly related to age, gender, smoking history, Ki67 expression, dNLR, or T stage (Table 3).

Figure 5 IHC of the PD-L1 in NPC tissue. The cell membrane was stained dark brown. (A) IHC staining of PD-L1 in TC is about 90%, while of TIIC is about 1%. (B) IHC staining of PD-L1 in the tumor nest (arrows indicated) is less than 1%. IHC staining of PD-L1 in the TIIC (around the TC) is about 60%. (C) The IHC positive control. Intense PD-L1 expression is observed in the outer surface of the trophoblastic epithelial cell membrane of the human placenta. The IHC negative controls for (A, B and C) are shown as (D, E and F), respectively.

Abbreviations: IHC, immunohistochemistry; NPC, nasopharyngeal carcinoma; PD-L1, programmed death-1 ligand; TC, tumor cells; TIIC, tumor-infiltrating immune cells..

Table 2 PD-L1 expression in TC and TIIC

PD-L1 expression	In TC, n (%)	In TIIC, n (%)
<1%	1 (1%)	0 (0%)
1%	1 (1%)	2 (2%)
10%	7 (6.9%)	28 (27.5%)
20%	1 (1%)	26 (25.5%)
25%	3 (2.9%)	8 (7.8%)
30%	3 (2.9%)	18 (17.6%)
40%	9 (8.8%)	7 (6.9%)
50%	4 (3.9%)	6 (5.9%)
60%	9 (8.8%)	3 (2.9%)
70%	7 (6.9%)	0 (0%)
75%	3 (2.9%)	0 (0%)
80%	18 (17.6%)	4 (3.9%)
90%	30 (29.4%)	0 (0%)
100%	6 (5.9%)	0 (0%)

Abbreviations: PD-L1, programmed death-1 ligand; TC, tumor cells; TIIC, tumor-infiltrating immune cells.

Table 3 Association of PD-L1 expression in TC and TIIC with disease variables

	PD-L1 expression in TC			PD-L1 expression in TIIC
Variable	Low	High	P-value	Low	High	P-value
Age (years)			0.426			0.666
<45	7 (28%)	29 (37.7%)		31 (34.8%)	5 (38.5%)
≥45	18 (72%)	48 (62.3%)		58 (65.2%)	8 (61.5%)
Gender			0.346			0.279
Male	18 (72%)	48 (62.3%)		61 (68.5%)	8 (61.5%)
Female	7 (28%)	29 (37.7%)		28 (31.5%)	5 (38.5%)
Smoking history			0.126			0.857
Non-smoker	11 (44%)	40 (51.9%)		43 (48.3%)	5 (38.5%)
Smoker	14 (56%)	37 (38.1%)		46 (51.7%)	8 (61.5%)
Ki67 expression			0.953			0.05
<70%	14 (56%)	35 (45.5%)		45 (50.6%)	4 (30.8%)
≥70%	11 (44%)	42 (54.5%)		44 (49.4%)	9 (69.2%)
dNLR			0.537			0.106
<2	22 (88%)	50 (64.9%)		65 (73%)	7 (53.8%)
≥2	3 (12%)	27 (35.1%)		24 (27%)	6 (46.2%)
Plasma EBV-DNA loada			0.381			0.021
<50 IU/mL	5 (26.3%)	14 (23.3%)		17 (24.3%)	2 (22.2%)
≥50 IU/mL	14 (73.7%)	46 (76.7%)		53 (75.7%)	7 (77.8%)
T stageb			0.033			0.113
T1/T2	6 (35.3%)	15 (27.8%)		19 (30%)	2 (28.6%)
T3/T4	11 (64.7%)	39 (72.2%)		45 (70%)	5 (71.4%)
N stageb			0.083			0.009
N0/N1	8 (47.1%)	16 (29.6%)		20 (31.3%)	4 (57.1%)
N2/N3	9 (52.9%)	38 (70.4%)		44 (68.7%)	3 (42.9%)
M stageb			0.549			0.014
M0	14 (82.4%)	47 (87%)		54 (84.4%)	7 (100%)
M1	3 (17.6%)	7 (13%)		10 (15.6%)	0 (0%)
Clinical stageb			0.118			0.001
I/II/III	10 (58.8%)	25 (46.3%)		30 (46.9%)	5 (71.4%)
IVa/IVb	7 (41.2%)	29 (53.7%)		34 (53.1%)	2 (28.6%)

Notes:

a The EBV DNA load in complete blood and plasma was detected for 79 patients following consent.

b Seventy-one patients were treated in our hospital after diagnosis; their TNM stage and clinical stage were known. Bold figures indicate statistical significance (P<0.05).

Abbreviations: dNLR, derived neutrophil–lymphocyte ratio; EBV, Epstein–Barr virus; M metastasis; N, node; PD-L1, programmed death-1 ligand; T, tumor; TC, tumor cells; TIIC, tumor-infiltrating immune cells.

Discussion

Despite the encouraging success of immunotherapy in recent years, the effectiveness of this therapy varies widely among individuals and different tumor types. In May 2017, pembrolizumab was approved for patients with MSI-H or dMMR solid tumors based on two Phase II clinical trials. ^11,12 This was the first time the FDA approved a cancer treatment based on a common genomic biomarker rather than a tissue origin approach. However, the suitability of MMR status as a biomarker for ICBs in NPC patients was unknown. We determined the MMR status in a cohort of unselected patients using IHC and the same PCR method that was used in the two referenced trials. ^11,12 Our study cohort comprised patients at the First Affiliated Hospital of Xiamen University in Southern China, a region in which NPC is considered endemic. As far as we know, this is the first study to detect the MMR status using both IHC and the MSI Multiplex System in a reasonable sample size of patients with NPC.

Five mononucleotide markers (BAT-25, BAT-26, NR-21, NR-24, and MONO-27) were previously recommended as the best markers for detection of MSI-H colorectal tumors from a set of 266 mono-, di-, tetra-, and pentanucleotide repeat microsatellite markers. ¹⁷ The MSI Multiplex System is both highly specific and sensitive and amenable to high-throughput analysis of colorectal tumors. Examination of MSI using this system may not be suitable for tumors other than colorectal tumors. However, the Phase II trial mentioned above used this MSI panel to investigate 12 types of tumors. ¹² A study including 56 NPC patients demonstrated that dMMR is a rare event (2%, 1/56),¹⁸ consistent with our results. Their PCR method targeted three mononucleotide markers (BAT26, BAT25, and CAT25) and three dinucleotide markers (D5S.346, D17S.250, and D2S.123). ¹⁸ Notably, BAT26, BAT25, and CAT25 are included in the five mononucleotide markers we used in the MSI Multiplex System.

Although the gold standard for detecting MSI is genetic testing by PCR, the College of American Pathologists (CAP) recommends an initial IHC workup to detect the presence or absence of MMR proteins (MLH1, MSH2, MSH6, and PMS2). ¹⁹ Loss of expression of the MMR proteins in IHC is generally associated with mutation (or methylation) of the corresponding genes, which cannot be determined with MSI testing. In addition, IHC testing is much more widely available both in laboratories and hospitals. In our cohort, the expression of MSH2 and MSH6 was absent in IHC of one patient, and expression of all four proteins (MLH1, MSH2, MSH6, and PMS2) was lost in IHC of another patient. Interestingly, the phenomenon of the half-positive, half-negative MMR protein IHC in this patient was initially suspected as tumor heterogeneity or chimerism. The peripheral blood chromosome karyotype of this patient was negative. Once MMR IHC was performed again in conjunction with CK5/6 IHC in serial sections, we confirmed that the MMR positivity appeared in lymphocytes instead of tumor cells. The nasopharynx is characteristically full of lymphocytes; because nasopharyngeal tumor cells may be as small as lymphocytes, lymphocytes in close proximity may be wrongly considered a tumor cell nest. One disadvantage of MMR IHC is that the results may be affected by conditions of tissue fixation, which is not required for PCR. ²⁰ Thus, we recommend MMR IHC for initial screening to identify dMMR or MSI tumors in NPC patients. Then, PCR can be used to identify the highly suspected or uncertain populations. The two patients with loss of expression of MSH2 and MSH6 and the four MMR proteins in IHC, respectively, were both identified as MSI-H patients with NPC by the MSI Multiplex System. dMMR tumors have more potential to encode “non-self ” immuno-genic antigens and contain prominent lymphocyte infiltrates, which may be more susceptible to ICBs. ^11,21,22 Yarchoan et al²³ pooled the response data of 27 tumor types or subtypes from the largest published studies that evaluated the ORR of ICBs and found a strong relationship between the tumor mutational burden (TMB) and the effectiveness of ICB therapies across multiple cancers. In fact, loss of function in MMR genes is correlated with high TMB in tumors. ^24,25 However, the reverse is not true: MSI-H generally occurs as a subset of high TMB, and other factors such as mutations in the POLD1 and POLE genes, ultraviolet light exposure, and smoking can result in high TMB. ^26–29 One study that analyzed 62,150 samples indicated that only 16% of samples with high TMB were classified as MSI-H. ²⁶ Our data, which represented the largest population compared with that of published studies on the MMR status of NPC patients, showed that dMMR in NPC is a rare event. Our previous study reported that pMMR in NPC is susceptible to ICBs, and one patient with extensively metastatic NPC showed a complete response and is alive as of this study. ³⁰ It is also worth noting the NSCLC is not included in the 12 different types of cancer which the Phase II trial mentioned above,¹¹ although the PD-1/PD-L1-based therapy is generally useful in patients with positive PD-L1 (≥50%) for NSCLC regardless of MMR status in a Phase III study of Keynote-024. ¹⁰ Taken together, dMMR is very rare and may not be suitable as a biomarker to predict the effect of ICBs in NPC patients.

Several studies have demonstrated that PD-L1 is frequently expressed in NPC,^31–34 which was supported by our results. However, PD-L1 expression in tumor sections was not distinguished between TIIC and TC in the majority of related studies. Based on our results, PD-L1 expression in TC and TIIC might exhibit different correlations with clinical characteristics and be regulated by distinct mechanisms. Our study demonstrated that PD-L1 expression in TC was significantly associated with the primary tumor stage, which may predict the poor prognosis. However, PD-L1 expression in TIIC was negatively associated with lymph node stage, distant metastasis, clinical stage, and plasma EBV DNA load. All four factors are related to adverse prognosis. These findings were in agreement with the previous studies. ^35–37 Analyzing the reason, PD-L1 expression in TC could be upregulated by tumor-intrinsic mechanisms such as constitutive activation of oncogenic signaling pathways and related signaling pathways, independently of inflammatory signals in the tumor microenvironment. ^38,39 However, transcriptome analysis results demonstrated that PD-L1 expression in TIIC can be driven via adaptive mechanisms including exogenous inflammation-mediated immune responses within the tumor microenvironment and reflects pre-existing immunity. ^36,39 In other words, TIIC expressing PD-L1 are more strongly correlated with cancer immune response compared with TC, which means PD-L1 expression in TIIC may be a favorable prognostic factor. A meta-analysis involving 18 studies of 3,674 patients suggested that PD-L1 expression in TIIC was related to better survival in cancer patients. ³⁶ These different mechanisms may partly explain the varied prognostic indication of PD-L1 expression in TC and TIIC.

Plasma EBV DNA fragments are short DNA fragments that are released into the circulation by the apoptosis of cancer cells, and low levels of DNA fragments are released from small-sized tumors into the blood. ⁴⁰ Researchers have found that the concentration of EBV DNA is highly correlated with lymph node status and clinical stage, suggesting that the EBV DNA load is an accurate biomarker for diagnosis and prognosis of NPC in endemic areas. ^41,42 Notably, in a Phase II trial of PD-1 blockade in 61 unselected patients with metastatic gastric cancer, a dramatic response was observed in EBV-positive tumors, suggesting that EBV-positive cancer may also be actively considered for up-front ICBs. ⁴³ However, the dynamic changes of EBV in NPC has no significant correction with ICBs treatment both in the Phase Ib trial of pembrolizumab for NPC patients in the Keynote-028 study and the Mayo Clinic Phase 2 Consortium of Nivolumab for NPC patients. ^15,16 Both studies explained that the small sample size may be the limitation to demonstrate a statistical significance. The association between PD-L1 expression in TIIC and EBV DNA load observed in our cohort should be explored further. Recently, Lin et al⁴⁴ has shown that PD-L1-expressing TIIC may determine the clinical efficacy of ICB-mediated tumor regression. It is indispensable to discriminate PD-L1 expression in TC and TIIC; however, most research has focused only on PD-L1 expression in TC.

We collected data from published studies of NPC patients^31–34 and used the same cutoff value (50%) as for NSCLC. ^9,10 Of note, the proportion of high PD-L1 expression (≥50%) in the previous NPC studies was much lower than that in ours (75.5%). These studies used clone E1L3N (Cell Signaling Technology, USA) (Ventana, PA, USA) or clone SP142 (Ventana) as the PD-L1 antibody, and published studies have demonstrated that both antibodies result in fewer stained tumor cells than the antibodies we used (SP263, Ventana). ^45,46 These studies were also retrospective;^31–34 the tumor tissues were from paraffin blocks that were preserved for more than 3 years in specimen banks. Over time, antigen alterations or loss of the specimen in paraffin blocks will affect the IHC results, as has been demonstrated in nucleic acid-based assays. ^47,48 We highlight that the tumor specimens in our study were subjected to IHC immediately, likely producing more accurate results. Three of four common assays had similar analytical performance in terms of PD-L1 expression in the Blueprint PD-L1 IHC Assay Comparison Project; the antibodies we used were also used in those assays. ⁴⁵ Because ICB clinical trials for NPC are less common than those for other cancers, our PD-L1 expression data from unselected patients using the antibody recommended in the Blueprint PD-L1 IHC Assay Comparison Project can provide valuable information for future clinical trial design. Moreover, high PD-L1 expression implied that NPC might be a suitable candidate for PD-1/PD-L1 ICBs.

This study has some limitations that need to be addressed. First, this was a single-center study with a limited number of patients, and the clinical stage of several patients was not available because they were not hospitalized after diagnosis in our center. Second, the TMB was not detected in our cohort, although it has been considered a hotspot biomarker in many studies. Future validation of our findings with a larger population and TMB detection is warranted.

Conclusion

dMMR is a rare event in NPC and may not be a prospective biomarker to predict the effectiveness of treatment with ICBs in clinical practice. We also determined that high PD-L1 expression in NPC is common, and highlighted the importance of distinguishing PD-L1 expression in TC and TIIC.

Acknowledgments

This study was supported by the Natural Science Foundation of Fujian Province [Grant number 2016J01633] and the National Natural Science Foundation of China [Grant number 81772893].

Disclosure

The authors report no conflicts of interest in this work.