Literature DB >> 29435162

Prognostic value of PD -L1 expression in patients with primary solid tumors.

Xiao Xiang1, Peng-Cheng Yu2, Di Long2, Xiao-Li Liao1, Sen Zhang2, Xue-Mei You1, Jian-Hong Zhong1, Le-Qun Li1.   

Abstract

Programmed death-ligand 1 (PD-L1) is thought to play a critical role in immune escape by cancer, but whether PD-L1 expression can influence prognosis of patients with solid tumors is controversial. Therefore, we meta-analyzed available data on whether PD-L1 expression correlates with overall survival (OS) in such patients. PubMed, EMBASE and other databases were systematically searched for cohort or case-control studies examining the possible correlation between PD-L1 expression and OS of patients with solid tumors. OS was compared between patients positive or negative for PD-L1 expression using scatter plots, and subgroup analyses were performed based on tumor type and patient characteristics. Data from 59 studies involving 20,004 patients with solid tumors were meta-analyzed. The median percentage of tumors positive for PD-L1 was 30.1%. OS was significantly lower in PD-L1-positive patients than in PD-L1-negative patients at 1 year (P = 0.039), 3 years (P < 0.001) and 5 years (P < 0.001). The risk ratios of OS (and associated 95% confidence intervals) were 2.02 (1.56-2.60) at 1 year, 1.57 (1.34-1.83) at 3 years and 1.43 (1.24-1.64) at 5 years. Similar results were obtained in subgroup analyses based on patient ethnicity or tumor type. The available evidence suggests that PD-L1 expression negatively affects the prognosis of patients with solid tumors. PD-L1 might serve as an efficient prognostic indicator in solid tumor and may represent the important new therapeutic target.

Entities:  

Keywords:  meta-analysis; overall survival; primary solid tumors; programmed death ligand 1

Year:  2017        PMID: 29435162      PMCID: PMC5797033          DOI: 10.18632/oncotarget.23580

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


INTRODUCTION

Immune co-stimulatory and co-inhibitory receptors determined the functional outcome of T cell receptor (TCR) signaling and immune surveillance [1]. Tumors can modulate the interactions between inhibitory receptors and ligands to scape immune responses [2, 3]. For example, the co-inhibitory receptor programmed cell death 1 (PD-1) plays a key role in cancer immune, especially in the immune escape phase [4]. PD-1 can be expressed in activated CD4 + and CD8 + T cells, but also in some natural killer cells and B cells [5]. When PD-1 binds to the ligand PD-L1 (B7-H1) expressed on the surface of tumors, it strongly inhibits the production of T cells and cytokines [6, 7], promoting tumor cell growth and immune escape [8, 9]. PD-L1 also plays a key role in binding to PD-1 receptors expressed on activated T cells in T cell co-suppression and depletion [9-11]. PD-L1 expressed on tumor cells promotes tumor cell-specific T cell inactivation or apoptosis, leading to tumor cell growth and exacerbation of tumor immune escape [12]. PD-L1 is expressed in many types of human cancers, including in esophageal, gastrointestinal, pancreatic, breast, lung and kidney cancers [10-14]. Clinical trials suggest that blocking the PD-1/PD-L1 interaction using anti-PD-1 antibodies can be effective against several different malignancies, including melanoma, lung cancer, kidney cancer and bladder cancer [15-19]. In addition to serving as a therapeutic target, PD-L1 may also be useful as a prognostic biomarker [22]. However, whether PD-L1 expression is associated with worse prognosis for patients with primary solid tumors remains controversial [20-22]. Therefore we meta-analyzed all available evidence to address this question comprehensively.

RESULTS

A total of 1,258 records were retrieved from PUBMED, EMBASE, Web of Science and EBSCO (Figure 1). After excluding 825 duplicate publications, we reviewed the abstracts and titles of the remaining 433 articles. This led to the exclusion of another 288 records that were not original research articles published in English. The remaining articles were read in full, leading to the exclusion of 86 records because they did not deal with human patients or solid tumors, or because they failed to report adequate outcomes data. In the end, 59 articles were included in the meta-analysis.
Figure 1

Flow chart of study selection

Key features of the 59 studies are summarized in Table 1; 35 studies involved Asian populations and 24 involved non-Asian populations. The studies analyzed 20,004 patients from China [23-41], France [42], New Zealand [43, 44], Brazil [45], Australia [46], Canada [47, 48], Italy [49], Germany [50, 51], United States [52-65], Japan [66-74], South Korea [75-78], Switzerland [79] and Taiwan [80, 81]. PD-L1 expression, which was analyzed in similar ways across all studies, was characterized as positive in 6,028 patients and negative in the remaining 13,976. One third of the studies (19) involved gastrointestinal tumors, while the remaining 40 involved other types of tumors. Altogether 11 malignancies were represented in the patient population: breast cancer (5 studies), renal cell carcinoma (7), colorectal cancer (3), esophageal cancer (3), gastric cancer (7), hepatocellular carcinoma (7), Merkel cell carcinoma (3), small cell lung cancer (11), oral squamous cell carcinoma (5), pancreatic cancer (3), and urinary tract epithelial cell carcinoma (4).
Table 1

Characteristics of studies included in the meta-analysis

StudyCountryTumor typeCharacteristicAgeGendermale / femaleNo. patients positive/ negative for PD-L1PD-L1-positive OS (%)PD-L1-negative OS (%)P
1-yr3-yr5-yr1-yr3-yr5-yr
Qin 2015ChinaBreast cancerPrimary47(21-84)-189/68110085811009892<0.001
Sabatier 2015FranceBreast cancerPrimary≤50: 12881021 (28%)267 (31%)>50: 3207-1076/43789790829790810.070
Muenst 2014SwitzerlandBreast cancerPrimary63.8 ± 14.2-152/498905537988580<0.001
Baptista 2016BrazilBreast cancerPrimary≤50: 1761021 (28%)267 (31%)>50: 204107/8298908510096930.030
Beckers 2016AustraliaBreast cancerPrimary--123/389692819673650.035
Droeser 2013ItalyColorectal cancerPrimary69.9 (30–96)741/673669/1420847161724837<0.001
Shi SJ 2013ChinaColorectal cancerPrimary59.8 ± 12.591/11664/1437554429072610.017
Zhu 2014ChinaColorectal cancerPrimary≤50: 541021 (28%)267 (31%)>50: 4753/4855/46--62--800.051
Krambeck 2007USARenal cell carcinomaPrimary≤65: 541021 (28%)267 (31%)>65: 47150/14870/228786248918376<0.005
Thompson 2005CanadaRenal cell carcinomaPrimary--103/196846752938784<0.001
Thompson 2007CanadaRenal cell carcinomaPrimary≤65: 1381021 (28%)267 (31%)>65: 129177/90142/2678868-9485-0.004
Abbas 2016GermanyRenal cell carcinomaPrimary63 (31–88)116/6137/1408557479275660.005
Choueiri 2014USARenal cell carcinomaPrimary59 (24–81)55/4611/90724848989585<0.001
Thompson 2004USARenal cell carcinomaPrimary--87/1098762-9592-<0.001
Thompson 2006USARenal cell carcinomaPrimary--73/233785142959083<0.001
Ohigashi 2005JapanEsophageal cancerPrimary≤65: 241021 (28%)267 (31%)>65: 1732/918/416018188853450.001
Tanaka 2016JapanEsophageal cancerPrimary62.6 ± 10.0157/3353/1276130257956510.001
Chen 2014ChinaEsophageal cancerPrimary≤65: 511021 (28%)267 (31%)>65: 4876/2379/2010044178344370.675
Loos 2011GermanyEsophageal cancerPrimary--37/64795132968269<0.001
Shohei 2016JapanGastric carcinomaPrimary67 ± 1475/3028/1058441109163510.022
Geng 2015ChinaGastric carcinomaPrimary≤65: 651021 (28%)267 (31%)>65: 3561/3965/1007241298761370.026
Hou 2014ChinaGastric carcinomaPrimary≤58: 551021 (28%)267 (31%)>58: 5675/3670/111784632937768<0.001
Wu 2006SwedenGastric carcinomaPrimary≤65: 641021 (28%)267 (31%)>65: 3875/2743/1027538309871640.001
Tamura 2015JapanGastric carcinomaPrimary66.1 (17-89)305/126128/3039065499478640.001
Zheng 2014ChinaGastric carcinomaPrimary≤60: 421021 (28%)267 (31%)>60: 3862/1833/478665529169530.636
Qing 2015USAGastric carcinomaPrimary≤60: 421021 (28%)267 (31%)>60: 3872/3554/1078128189347270.004
Gao 2009ChinaHepatocellular carcinomaPrimary52 (18-81)204/3660/1807042398357490.029
Jung 2016South KoreaHepatocellular carcinomaPrimary≤53: 441021 (28%)267 (31%)>53: 4169/1623/62431917906959<0.001
Kan 2015ChinaHepatocellular carcinomaPrimary≤50: 561021 (28%)267 (31%)>50: 72108/20105/2330505015100.001
Umemoto 2015JapanHepatocellular carcinomaPrimary64 ± 1071/937/437451408073710.051
Zeng 2011ChinaHepatocellular carcinomaPrimary53.1(35–68109/3231/3238--85--0.000
Gabrielson 2016USAHepatocellular carcinomaPrimary61 (30–86)50/1530/358585-5345-0.029
Wu 2009ChinaHepatocellular carcinomaPrimary48, 23–7565/635/368154409783710.014
Azuma 2014JapanLung cancerPrimary66 (39-82)91/7382/164--38--560.039
Chen 2012ChinaLung cancerPrimary≤54: 231021 (28%)267 (31%)>54: 1726/1469/1207111-8548-<0.001
Cooper 2015USALung cancerPrimary-477/201628/6789573628454440.023
Jiang 2015ChinaLung cancerPrimary≤60: 151021 (28%)267 (31%)>60: 6439/4050/7910091848374700.042
Kim 2015South KoreaLung cancerPrimary65 (45–81)33/889/3316538277849490.570
Mu 2011ChinaLung cancerPrimary--58/1098720-9538-<0.005
Velcheti 2014USALung cancerPrimary≤70: 2321021 (28%)267 (31%)>70: 80260/3756/1557843278761510.028
Yang 2014TaiwanLung cancerPrimary≤70: 1321021 (28%)267 (31%)>70: 3154/10965/1639893919887830.027
Zhang 2014ChinaLung cancerPrimary≤58: 731021 (28%)267 (31%)>58: 7084/5970/1438471539789770.002
Song 2016ChinaLung cancerPrimary<60: 207≥60: 178198/187186/1999971409979520.069
Inamura 2016JapanLung cancerPrimary<60: 96≥60: 172142/12643/2258569559581710.019
Chen 2009ChinaPancreatic cancerPrimary<60: 61≥60: 5576/2318/40328-8458170.001
Nomi 2007JapanPancreatic cancerPrimary--20/514812-7824-0.016
Wang 2010ChinaPancreatic cancerPrimary-40/1023/40878-10033-<0.001
Gadiot 2011NetherlandsMerkel cell carcinomaPrimary-36/2716/63-5137-68520.200
Hino 2010JapanMerkel cell carcinomaPrimary68.84 ± 2.8538/2134/59--52--810.040
Taube 2012USAMerkel cell carcinomaPrimary-76/7457/150--84--610.330
Boorjian 2008USAUrinary tract epithelial cell carcinomaPrimary-259/5939/3145851439182670.005
Nakanishi 2006JapanUrinary tract epithelial cell carcinomaPrimary-47/1846/658668571001001000.021
Wang 2009ChinaUrinary tract epithelial cell carcinomaPrimary-31/536/509168-100100-0.020
Xylinas 2014USAUrinary tract epithelial cell carcinomaPrimary65.9 (60.5e72.2)244/5876/2268366639582690.020
Kim 2016South KoreaOral squamous cell cancerPrimary65 (45–81)33/890/439783809883750.625
Lin 2015TaiwanOral squamous cell cancerPrimary<56: 162≥56: 143236/69133/1728162568162580.225
Cho 2011South KoreaOral squamous cell cancerPrimary<59: 20≥59: 2532/1326/457251437263630.012
Oliveira 2015USAOral squamous cell cancerPrimary<60: 62≥60: 3485/1147/968147-6118-0.044
Ukpo 2013USAOral squamous cell cancerPrimary55.8 ± 9.4186/2384/1818974629776640.730

PD-L1 expression and OS across all studies

Meta-analysis of data from all 59 studies showed that the median OS rate was significantly lower in PD-L1-positive patients than in PD-L1-negative patients at 1 year (P = 0.039), 3 years (P < 0.001) and 5 years (P < 0.001; Figure 2). The RR for OS at the three time points (and associated 95% confidence intervals [CIs]) were 2.02 (1.56-2.60), 1.57 (1.34-1.83) and 1.43 (1.24-1.64) (Table 2 and Figure 2).
Figure 2

Scatter plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the entire patient population.

Table 2

Meta-analysis of possible associations between PD-L1 expression and overall survival in patients with solid tumors

Group or subgroupNPD-L1(+/-)1 year OS3 year OS5 year OS
RR (95 % CI)PI2RR (95 % CI)PI2RR (95 % CI)PI2
All studies596028/139762.02 (1.56-2.60)<0.001841.57 (1.34-1.83)<0.001911.43 (1.24-1.64)<0.00192
Ethnic subgroups
Asian352211/41261.83 (1.61-2.08)*<0.001491.57 (1.39-1.77)<0.001741.44 (1.31-1.58)<0.00192
Non-Asian243817/98501.98 (1.27-3.09)0.003901.60(1.18-2.17)0.003951.39(1.08-1.78)0.00995
Tumor origin
Gastrointestinal tumors241778/32062.12(1.45-3.09)<0.001861.52 (1.23-1.89)<0.001911.40 (1.17-1.67)<0.00191
Other tumors354250/107701.79 (1.33-2.40)<0.001861.61 (1.30-1.98)<0.001921.47 (1.23-1.75)<0.00191
Tumor type
Breast cancer51647/56771.80 (0.60-5.42)0.30791.79 (0.77-4.19)<0.18951.80 (0.68-4.73)<0.2496
Esophageal cancer4187/2521.90 (0.69-5.21)0.21702.77 (1.78-4.30)*<0.001483.55 (2.63-5.65)*<0.0010
Gastric carcinoma7421/8752.48 (1.80-3.41)*<0.001181.63(1.43-1.87)*<0.001321.45(1.18-1.79)<0.00179
Hepatocellular carcinoma7321/3391.87(1.01-3.46)0.04781.40 (0.92-2.15)0.12841.58(1.11-2.25)0.0183
Lung cancer111396/23661.39 (0.69-2.81)0.36881.17 (0.84-1.63)0.35921.16 (0.86-1.57)0.3293
Pancreatic cancer361/1313.43 (2.06-5.73)*<0.001151.48 (1.06-2.06)*0.020---
Merkel cell carcinoma3107/272------1.01 (0.41-2.99)0.8589
urinary tract epithelial cell carcinoma4197/6556.24 (3.62-10.74)*<0.00103.43 (1.50-7.84)0.003751.79 (0.86-3.70)0.1282
Oral squamous cell cancer5380/5371.05 (0.58-1.93)0.87630.95 (0.72-1.26)0.72551.07 (0.89-1.29)*0.450
Renal cell carcinoma7208/5723.38(2.13-5.39)*<0.001244.14 (2.07-8.26)<0.001812.57(1.46-4.52)<0.00179
Colorectal cancer3788/16091.17 (0.27-5.06)0.84950.94 (0.33-2. 67)0.90961.16 (0.55-2.45)0.6995

N, number of studies; OS, overall survival; RR, risk ratio; 95% CI, 95% confidence interval

* These meta-analyses were performed using a fixed-effects model. All other meta-analyses were performed using a random-effects model.

Scatter plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the entire patient population. N, number of studies; OS, overall survival; RR, risk ratio; 95% CI, 95% confidence interval * These meta-analyses were performed using a fixed-effects model. All other meta-analyses were performed using a random-effects model.

Subgroup analysis by tumor type

Given the significant heterogeneity in the meta-analysis involving all 59 studies, we performed a series of subgroup analyses to eamine the possible correlation between PD-L1 expression and OS. PD-L1 expression was associated with worse 1-year OS for the following types of solid tumor (Table 2): gastric cancer, 2.48 (1.80-3.41); renal cell carcinoma, 3.38 (2.13-5.39); and hepatocellular carcinoma, 1.87 (1.01-3.46). PD-L1 expression was associated with worse 3-year OS for the following cancers: esophageal cancer, 2.77 (1.78-4.30); gastric cancer, 1.63 (1.43-1.87); pancreatic cancer, 1.48 (1.06-2.06); and renal cell carcinoma, 4.14 (2.07-8.26). PD-L1 expression was associated with worse 5-year OS for esophageal cancer, 3.55 (2.63-5.65); gastric cancer, 1.45 (1.18-1.79); hepatocellular carcinoma, 1.58 (1.11-2.25); and renal cell carcinoma, 2.57 (1.46-4.52). Among the subset of 4,984 patients with gastrointestinal tumors, 1,778 (35.6%) were PD-L1-positive and 3,206 (64.4%) were PD-L1-negative. PD-L1 expression was associated with significantly worse OS at 1 year (P = 0.004), 3 years (P = 0.005), and 5 years (P = 0.002; Figures 3 and 7). The corresponding RRs and 95% CIs were 2.12(1.45-3.09), 1.52 (1.23-1.89), and 1.40 (1.17-1.67) (Table 2).
Figure 3

Scatter plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the subset of patients with gastrointestinal tumors.

Figure 7

Forrest plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the subset of patients with gastrointestinal tumors.

Data come from the subset of patients with gastrointestinal tumors. Data come from the subset of patients with non-gastrointestinal tumors. Data come from the subset of Asian patients. Data come from the subset of non-Asian patients.

Forrest plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the subset of patients with gastrointestinal tumors. Among the subset of 4,309 patients with non-gastrointestinal tumors, 2,298 (53.3%) were PD-L1-positive and 1,404 (59.3%) were PD-L1-negative. PD-L1 expression was associated with significantly worse OS at 1 year (P = 0.017), 3 years (P = 0.010) and 5 years (P = 0.003; Figures 4 and 8). The corresponding RRs and 95% CIs were 1.79 (1.33-2.40), 1.61 (1.30-1.98), and 1.47 (1.23-1.75) (Table 2).
Figure 4

Scatter plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the subset of patients with non-gastrointestinal tumors.

Figure 8

Forrest plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the subset of patients with non-gastrointestinal tumors.

Data come from the subset of patients with non-gastrointestinal tumors.

Subgroup analysis by patient ethnicity

Among the subset of 6,337 Asian patients, 2,211 were PD-L1-positive and 4,126 were PD-L1-negative. PD-L1 expression was associated with significantly lower OS at 1 year (P = 0.030), 3 years (P = 0.005) and 5 years (P = 0.005; Figures 5 and 9). The corresponding RRs and 95% CIs were 1.86 (1.61-2.08), 1.57 (1.39-1.77), and 1.44 (1.31-1.58) (Table 2).
Figure 5

Scatter plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the subset of Asian patients.

Figure 9

Forrest plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the subset of Asian patients.

Data come from the subset of Asian patients. Among the subset of 13,667 non-Asian patients, 3,817 were PD-L1-positive and 9,850 were PD-L1-negative. PD-L1 expression was associated with significantly lower OS at 1 year (P = 0.048), 3 years (P = 0.040) and 5 years (P = 0.024; Figures 6 and 10). The corresponding RRs and 95% CIs were 1.98 (1.27-3.09), 1.60 (1.18-2.17), and 1.39 (1.08-1.78) (Table 2).
Figure 6

Scatter plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the subset of non-Asian patients.

Figure 10

Forrest plot of OS at 1, 3 and 5 years for patients positive or negative for PD-L1 expression

Data come from the subset of non-Asian patients.

Data come from the subset of non-Asian patients.

DISCUSSION

While studies published more than a decade ago established that PD-L1 promotes cancer immune escape [82, 83] and that blocking PD-L1 can improve the anti-tumor efficacy of anti-tumor responses [84-86], whether PD-L1 expression by solid tumors negatively affects patient prognosis remains unclear. Here we reviewed 59 studies involving 20,004 patients with 11 types of solid tumors and found strong evidence that PD-L1 expression is associated with significantly lower OS at 1, 3 and 5 years. This effect was observed in meta-analyses involving all patients as well as several subgroups of patients stratified by ethnicity and tumor type. PD-L1 positive expression is associated with viral infection and chronic inflammation [87]. Expression of PD-L1 and/or PD-1 has been described for numerous types of cancers associated with viral infection [88], including polycyclic virus-associated Merkel cell carcinoma [89], hepatitis B virus-associated hepatocellular carcinoma [33], human papillomavirus-associated head and neck cancer, and Epstein-Barr virus-related nasopharyngeal carcinoma [90]. In patients with hepatocellular carcinoma, PD-L1 expression was significantly higher in tumor macrophages than in matched normal tissues, and expression correlated with tumor grade [25]. Our results are consistent with previous reports that PD-L1 expression is associated with worse 5-year outcome in patients with gastrointestinal carcinomas such as esophageal cancer and gastric cancer [70, 79] as well as colorectal cancer [25]. The precise mechanisms whereby PD-L1 expression may worsen prognosis are unknown; When PD-1 binds to the ligand PD-L1 (B7-H1) expressed on the surface of tumors, PD-1 has been shown to promote tumor cell-specific T cell inactivation or apoptosis [12]. The results of this meta-analysis should be interpreted cautiously because of several limitations. One is the lack of a standardized assay and cut-off value for classifying patients as PD-L1-positive. This may help explain the high heterogeneity observed across the included studies. Another limitation is our exclusion of gray literature, which may have increased the risk of publication bias and selection bias. Despite these limitations, this large meta-analysis provides strong evidence that expression of PD-L1 may be a meaningful index for predicting prognosis in a wide variety of patients with solid tumors. These findings justify more focused prognostic studies in well-defined patient populations in which a panel of clinically relevant outcomes beyond only OS are considered.

MATERIALS AND METHODS

Literature search

PubMed, EMBASE, Web of Science and EBSCO were searched through 15 January 2017 to identify cohort and case-control studies examining the relationship between PD-L1 expression and prognosis of patients with solid tumors. The following search terms were used: programmed death-ligand 1, PD-L1, B7-H1, CD274 and solid tumor.

Inclusion and exclusion criteria

To be included in our meta-analysis, studies had to involve (1) primary solid tumors in human patients; (2) The main content of the articles is to analyze the relationship between the expression of PD-L1 and the prognosis of solid tumors in patients; (3) a hospital-based or population-based case-control or cohort design, regardless of sample size; (4) immunohistochemical assay of PD-L1 expression as high and low PD-L1 expression; (5) all patients underwent surgery; and (6) adequate reporting of overall survival (OS) data. When eligible studies involved overlapping patient populations, only the most recent or complete report was included. Studies were excluded if they were letter, summary of meeting and review; if they were published in a language other than English; or if they failed to report adequate data; or they investigated metastatic tumors. Gray literature (Reports and papers that were not published in PubMed, EMBASE, Web of Science and EBSCO) was not included into this study. Reference lists within identified articles were also searched manually to identify additional articles.

Meta-analysis outcomes

The primary outcome in the meta-analysis was OS. This outcome was compared between patients showing high or positive PD-L1 expression and patients showing low or no expression, as defined within the individual studies.

Data collection

Two researchers (P.-C.Y, X.X) independently screened studies for inclusion. Disagreements were resolved by discussion and, when necessary, consultation with a third author (S.Z). The first author's name, year of publication, country, number of patients, and tumor type were extracted from each study, and OS results for 1, 3 and 5 years were extracted from tables or Kaplan-Meier curves.

Statistical analysis

Forest plots of OS were generated using RevMan 5.3 (Cochrane Collaboration, Copenhagen, Denmark). Weighted risk ratio (RR) estimates were generated from pooled data using Mantel-Haenszel random-effects meta-analysis, unless no statistically heterogeneity, in which case fixed-effects meta-analysis was performed. Statistical heterogeneity in meta-analyses was assessed using Cochrane's Q and I2statistics. Survival results were analyzed using scatter plots generated in Prism 5 (Graphpad Software, San Diego, USA). The results for different patient groups were compared using the log-rank test. The threshold of statistical significance was defined as P < 0.05.
  90 in total

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Authors:  Jose Luis Perez-Gracia; Sara Labiano; Maria E Rodriguez-Ruiz; Miguel F Sanmamed; Ignacio Melero
Journal:  Curr Opin Immunol       Date:  2014-01-28       Impact factor: 7.486

2.  PD-L1 expression is a favorable prognostic factor in early stage non-small cell carcinoma.

Authors:  Wendy A Cooper; Thang Tran; Ricardo E Vilain; Jason Madore; Christina I Selinger; Maija Kohonen-Corish; PoYee Yip; Bing Yu; Sandra A O'Toole; Brian C McCaughan; Jennifer H Yearley; Lisa G Horvath; Steven Kao; Michael Boyer; Richard A Scolyer
Journal:  Lung Cancer       Date:  2015-05-18       Impact factor: 5.705

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Authors:  Jules Gadiot; Anna I Hooijkaas; Andrew D M Kaiser; Harm van Tinteren; Hester van Boven; Christian Blank
Journal:  Cancer       Date:  2010-11-29       Impact factor: 6.860

4.  Tumor B7-H1 is associated with poor prognosis in renal cell carcinoma patients with long-term follow-up.

Authors:  R Houston Thompson; Susan M Kuntz; Bradley C Leibovich; Haidong Dong; Christine M Lohse; W Scott Webster; Shomik Sengupta; Igor Frank; Alexander S Parker; Horst Zincke; Michael L Blute; Thomas J Sebo; John C Cheville; Eugene D Kwon
Journal:  Cancer Res       Date:  2006-04-01       Impact factor: 12.701

5.  B7-H1 blockade augments adoptive T-cell immunotherapy for squamous cell carcinoma.

Authors:  Scott E Strome; Haidong Dong; Hideto Tamura; Stephen G Voss; Dallas B Flies; Koji Tamada; Diva Salomao; John Cheville; Fumiya Hirano; Wei Lin; Jan L Kasperbauer; Karla V Ballman; Lieping Chen
Journal:  Cancer Res       Date:  2003-10-01       Impact factor: 12.701

6.  B7-H1 expression model for immune evasion in human papillomavirus-related oropharyngeal squamous cell carcinoma.

Authors:  Odey C Ukpo; Wade L Thorstad; James S Lewis
Journal:  Head Neck Pathol       Date:  2012-11-20

7.  PD-L1 expression in nonclear-cell renal cell carcinoma.

Authors:  T K Choueiri; A P Fay; K P Gray; M Callea; T H Ho; L Albiges; J Bellmunt; J Song; I Carvo; M Lampron; M L Stanton; F S Hodi; D F McDermott; M B Atkins; G J Freeman; M S Hirsch; S Signoretti
Journal:  Ann Oncol       Date:  2014-09-05       Impact factor: 32.976

8.  Upregulation of PD-L1 and APE1 is associated with tumorigenesis and poor prognosis of gastric cancer.

Authors:  Yi Qing; Qing Li; Tao Ren; Wei Xia; Yu Peng; Gao-Lei Liu; Hao Luo; Yu-Xin Yang; Xiao-Yan Dai; Shu-Feng Zhou; Dong Wang
Journal:  Drug Des Devel Ther       Date:  2015-02-16       Impact factor: 4.162

9.  Clinical significance of programmed death-1 ligand-1 expression in patients with non-small cell lung cancer: a 5-year-follow-up study.

Authors:  Yan-bin Chen; Chuan-Yong Mu; Jian-An Huang
Journal:  Tumori       Date:  2012-11

10.  High PD-L1 Expression Correlates with Metastasis and Poor Prognosis in Oral Squamous Cell Carcinoma.

Authors:  Yueh-Min Lin; Wen-Wei Sung; Ming-Ju Hsieh; Shih-Chen Tsai; Hung-Wen Lai; Shu-Mei Yang; Ko-Hong Shen; Mu-Kuan Chen; Huei Lee; Kun-Tu Yeh; Chih-Jung Chen
Journal:  PLoS One       Date:  2015-11-12       Impact factor: 3.240

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  26 in total

1.  Concurrent Control of the Kaposi's Sarcoma-Associated Herpesvirus Life Cycle through Chromatin Modulation and Host Hedgehog Signaling: a New Prospect for the Therapeutic Potential of Lipoxin A4.

Authors:  Kumari Asha; Natalie Balfe; Neelam Sharma-Walia
Journal:  J Virol       Date:  2020-04-16       Impact factor: 5.103

2.  WSX1 act as a tumor suppressor in hepatocellular carcinoma by downregulating neoplastic PD-L1 expression.

Authors:  Man Wu; Xueqing Xia; Jiemiao Hu; Natalie Wall Fowlkes; Shulin Li
Journal:  Nat Commun       Date:  2021-06-09       Impact factor: 14.919

Review 3.  Regulation of PD-L1: Emerging Routes for Targeting Tumor Immune Evasion.

Authors:  Yiting Wang; Huanbin Wang; Han Yao; Chushu Li; Jing-Yuan Fang; Jie Xu
Journal:  Front Pharmacol       Date:  2018-05-22       Impact factor: 5.810

4.  TLR4 expression correlated with PD-L1 expression indicates a poor prognosis in patients with peripheral T-cell lymphomas.

Authors:  Shu Zhao; Mengqi Sun; Hongxue Meng; Hongfei Ji; Yupeng Liu; Minghui Zhang; Hongbin Li; Pengfei Li; Yue Zhang; Qingyuan Zhang
Journal:  Cancer Manag Res       Date:  2019-05-23       Impact factor: 3.989

Review 5.  Prognostic and clinicopathological value of PD-L1 in colorectal cancer: a systematic review and meta-analysis.

Authors:  Lianzhou Yang; Rujun Xue; Chunhua Pan
Journal:  Onco Targets Ther       Date:  2019-05-14       Impact factor: 4.147

6.  Prognostic role of PD-L1 for HCC patients after potentially curative resection: a meta-analysis.

Authors:  Gao-Min Liu; Xu-Gang Li; Yao-Min Zhang
Journal:  Cancer Cell Int       Date:  2019-01-29       Impact factor: 5.722

7.  Clinical impact of T cells, B cells and the PD-1/PD-L1 pathway in muscle invasive bladder cancer: a comparative study of transurethral resection and cystectomy specimens.

Authors:  Sara Wahlin; Björn Nodin; Karin Leandersson; Karolina Boman; Karin Jirström
Journal:  Oncoimmunology       Date:  2019-08-03       Impact factor: 8.110

8.  PD-1 Signaling Promotes Tumor-Infiltrating Myeloid-Derived Suppressor Cells and Gastric Tumorigenesis in Mice.

Authors:  Woosook Kim; Timothy H Chu; Henrik Nienhüser; Zhengyu Jiang; Armando Del Portillo; Helen E Remotti; Ruth A White; Yoku Hayakawa; Hiroyuki Tomita; James G Fox; Charles G Drake; Timothy C Wang
Journal:  Gastroenterology       Date:  2020-10-29       Impact factor: 22.682

9.  NDAT Targets PI3K-Mediated PD-L1 Upregulation to Reduce Proliferation in Gefitinib-Resistant Colorectal Cancer.

Authors:  Tung-Yung Huang; Tung-Cheng Chang; Yu-Tang Chin; Yi-Shin Pan; Wong-Jin Chang; Feng-Cheng Liu; Ema Dwi Hastuti; Shih-Jiuan Chiu; Shwu-Huey Wang; Chun A Changou; Zi-Lin Li; Yi-Ru Chen; Hung-Ru Chu; Ya-Jung Shih; R Holland Cheng; Alexander Wu; Hung-Yun Lin; Kuan Wang; Jacqueline Whang-Peng; Shaker A Mousa; Paul J Davis
Journal:  Cells       Date:  2020-08-03       Impact factor: 6.600

10.  Tumour cell PD-L1 expression is prognostic in patients with malignant pleural effusion: the impact of C-reactive protein and immune-checkpoint inhibition.

Authors:  Elisabeth Stubenberger; Clemens Aigner; Bahil Ghanim; Anna Rosenmayr; Paul Stockhammer; Melanie Vogl; Ali Celik; Aynur Bas; Ismail Cuneyt Kurul; Nalan Akyurek; Alexander Varga; Till Plönes; Agnes Bankfalvi; Thomas Hager; Martin Schuler; Klaus Hackner; Peter Errhalt; Axel Scheed; Gernot Seebacher; Balazs Hegedus
Journal:  Sci Rep       Date:  2020-04-01       Impact factor: 4.379

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