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Immunobiology of Solid Cancers: Cellular and Molecular Pathways as Potential Diagnostic and Therapeutic Targets

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Volume 2017 |Article ID 1293201 |

Fang Zheng, Jianzhong Dang, Hui Zha, Bingyu Zhang, Ming Lin, Fanjun Cheng, "PD-L1 Promotes Self-Renewal and Tumorigenicity of Malignant Melanoma Initiating Cells", BioMed Research International, vol. 2017, Article ID 1293201, 8 pages, 2017.

PD-L1 Promotes Self-Renewal and Tumorigenicity of Malignant Melanoma Initiating Cells

Academic Editor: Ilary Ruscito
Received22 Apr 2017
Accepted10 Sep 2017
Published09 Nov 2017


Recent studies have indicated that therapeutic antibodies targeting PD-L1 show remarkable efficacy in clinical trials in multiple tumors and that a melanoma cell-intrinsic PD-1: PD-L1 axis promotes tumor growth. However, few studies have shown tumor-intrinsic PD-L1 effects in malignant melanoma initiating cells (MMICs). Here, we aim to determine the possible regulatory effects of PD-L1 on MMICs. The ALDEFLUOR kit was used to identify ALDH+ MMICs. Flow cytometry was used to examine the expression of PD-L1 on ALDH+ MMICs. To determine the role of PD-L1 in MMICs self-renewal, we cultured melanoma cells with anti-PD-L1 and measured tumorsphere formation and apoptosis. In addition, the effects of anti-PD-L1 on tumorigenicity and residual ALDH+ MMICs in tumors were evaluated in vivo. We demonstrated that melanoma cell-intrinsic PD-L1 was expressed in ALDH+ MMICs. Blocking PD-L1 in melanoma cell lines impaired tumorsphere formation and induced the apoptosis of sphere cells. In addition, blocking PD-L1 inhibited tumor growth in vivo. We observed residual ALDH+ MMICs within the tumor. The results showed that blocking PD-L1 also significantly decreased the residual ALDH+ MMICs in the tumors. In conclusion, these results suggest a new mechanism underlying melanoma progression and PD-L1-targeted therapy, which is distinct from the immunomodulatory actions of PD-L1.

1. Introduction

Metastatic melanoma is an extraordinarily challenging cancer, with a 16% 5-year survival rate, and it responds poorly to most standard chemotherapies [1]. It has been established that malignant melanoma initiating cells (MMICs) possess not only the capacity for self-renewal, differentiation, immune evasion, and multidrug resistance, but also potentially vasculogenic mimicry and the ability to transition to migratory and metastasizing derivatives, which are associated with melanoma progression and metastasis [2, 3]. For this reason, melanoma cure is predicated upon effectively targeting and eradicating the MMICs.

Recently, it has been established that programmed death-1 (PD-1) is a prominent checkpoint receptor that, upon binding its ligands PD-L1 or PD-L2, dampens T effector functions by inhibiting signaling downstream of the T cell receptor [4]. PD-L2 is predominantly expressed in APCs, whereas PD-L1 is commonly expressed in various cell types, including tumor cells, immune cells, epithelial cells, and endothelial cells [1, 5]. When PD-1 binds to its ligands in tumors; it leads to T-cell anergy and blocks productive antitumor immune response [6]. The first monoclonal antibody directed at PD-1, Nivolumab, was approved for treating patients with unresectable melanoma in July 2014. The other PD-1 and PD-L1 directed agents are currently in Phase I–III clinical trials in multiple tumor types [7].

In contrast to the immunosuppressive effect of PD-L1, it is also known to contribute to the promotion of tumor cell growth and downregulation of quiescent cells [8, 9]. Furthermore, it has been found that glioma stem cells express lower levels of PD-L1 than differentiated glioma cells do [10]. In head and neck squamous cell carcinoma, PD-L1 is preferentially expressed in CD44+ tumor-initiating cells [11]. PD-L1 also has suppressive effects on cancer stem cell-related phenotypes of cholangiocarcinoma [12]. These recent data highlight the possible involvement of PD-L1 in the regulation of cancer stem cells in various tumors. However, little research has investigated the role of PD-L1 in MMICs. Here, we report on a study to determine the frequency of PD-L1 expression in MMICs, and the possible regulatory effects of PD-L1 on MMICs.

2. Materials and Methods

2.1. Cells and Cell Culture

B16-F0 and B16-F1 melanoma cell lines were maintained in RPMI 1640 (Gibco) containing 10% fetal bovine serum (FBS; ScienceCell), 100 U/ml penicillin (Gibco), and 100 μg/mL streptomycin (Gibco). Cells were cultured at 37°C in 95% humidity and 5% CO2 atmosphere. All cell lines were routinely screened for mycoplasma contamination.

2.2. Flow Cytometry

The ALDEFLUOR kit (StemCell Technologies, British Columbia, Canada) was used to identify the stem/progenitor cells that expressed high levels of the aldehyde dehydrogenase (ALDH) [13]. Briefly, /ml cells were suspended in Aldefluor Assay Buffer (AAB) and incubated with 5 μL ALDH substrate (BAAA) for 45 min. 5 μL diethylaminobenzaldehyde (DEAB) was added to a separate sample containing BAAA for an ALDH-inhibited control. Then, samples were washed and resuspended in AAB. Fluorescence-activated cell gates were established using the inhibited control, DEAB, with the fluorescein isothiocyanate (FITC) channel with excitation and emission wavelengths of approximately 495 nm and 521 nm, respectively. To evaluate the expression of PD-L1 in ALDH+ cells, PD-L1 antibody (10F.9G2, GeneTex) and immunoglobulin G (IgG) isotype-matched control (GeneTex) containing BAAA were added to the cells separately. All samples were incubated for 30 minutes at 4°C. Following incubation, the material was centrifuged, and pellets were resuspended with 500 μl assay buffer prior to data acquisition. Flow cytometry analysis was performed on a BD Biosciences FACSCanto, and data analysis was conducted using CellQuest Pro (B&D Biosciences).

2.3. Tumorsphere Culture

The B16-F0 and B16-F1 melanoma cells were plated as single cells in ultralow attachment six-well plates (Corning, Lowell, MA, USA) and cultured in RPMI 1640 containing 6 mg/mL glucose (Sigma-Aldrich), 1 mg/mL NaHCO3 (Sigma-Aldrich), 5 mM HEPES (Sigma-Aldrich), 4 μg/mL heparin (Sigma-Aldrich), 4 mg/mL bovine serum albumin (Sigma-Aldrich), 20 pg/mL insulin (Sigma-Aldrich), N2 supplement (Invitrogen), supplemented with 10 ng/mL bFGF (Peprotech, Neuilly sur Seine, France), and 20 ng/mL EGF (Peprotech), as previously described [14]. On the second day after seeding, cells were treated with 10 μg anti-PD-L1 (10F.9G2, BioXcell) or control rat immunoglobulin G (IgG). Tumorspheres were observed under microscope 14 days later. Individual spheres with diameters larger than 100 μm from each replicate well were visualized and counted with an inverted microscope.

2.4. Assay for Apoptosis

Cells were double-stained with FITC-annexin V and PI according to the manufacturer’s instructions (Annexin-V FITC/propidium iodide (PI) Apoptosis Detection Kit; BD Pharmingen). Analysis was performed by flow cytometry. Early apoptotic cells were stained with Annexin-V alone, whereas necrotic and late apoptotic cells were stained with both Annexin-V and PI.

2.5. Animals and Tumor Model

Adult SPF male C57BL/6 mice were implanted subcutaneously on the right flank with either B16-F0 or B16-F1 melanoma cells. Then, 100 μg anti-PD-L1 or control rat IgG was administered intraperitoneally 3, 6, and 9 days following melanoma cell inoculation. All animals were randomly assigned to two groups of 5 mice each. Tumor size was monitored every two days. All surgical procedures and care given to the animals were in accordance with institutional guidelines.

2.6. Statistical Analysis

All data were reported as the mean ± standard error. Statistical analysis was performed using GraphPad Prism 5.0 Software (San Diego). A two-tailed paired -test was used to determine significant differences. values < 0.05 were considered statistically significant.

3. Results

3.1. PD-L1 Expression on ALDH+ Melanoma Cells

Previous studies have described the isolation of MMICs from mice using ALDEFLUOR/ALDH as a marker [13, 15]. To determine the expression of PD-L1 in MMICs, we detected PD-L1+/ALDH+ subpopulations from these two cell lines. As shown in Figure 1, ALDH+ cells were identified in melanoma cell lines by flow cytometry with the ALDEFLUOR kit. Cells were then incubated for 30 min with mouse monoclonal antibodies specific for PD-L1. The analysis of the percentage of PD-L1+ALDH+ cells was gated by ALDH+ cells. We found that approximately 10% to 18% of the cultured murine B16-F0 cells and B16-F1 cells were ALDH+. Approximately, 5% of the ALDH+ cells were PD-L1+/ALDH+. These data suggest that PD-L1 may be involved in regulating MMICs.

3.2. PD-L1 Regulated on MMICs Tumorsphere Formation

To determine whether PD-L1 can mediate MMIC self-renewal, we cultured melanoma cell lines with anti-PD-L1. The results showed that anti-PD-L1 significantly inhibited tumorsphere formation in B16-F0 and B16-F1 melanoma cells compared to the control groups (Figure 2). Cancer stem cell-derived spheres were dissociated and passaged; they readily formed secondary spheres [16]. Anti- PD-L1 inhibited secondary tumorsphere generation. Anti-PD-L1 induced a 2-fold inhibition of tumorsphere formation in B16-F0 cells and approximately 1.4-fold inhibition in B16-F1 melanoma cells, in terms of both number and size, compared with control groups.

3.3. PD-L1 Affected the Apoptosis of MMICs Enriched Cells

Tumorsphere formation has been reported as a measure of the presence of MMICs in enriched cell populations. We further explored the effects of anti-PD-L1 on apoptosis in melanoma tumorspheres. The data illustrated that anti-PD-L1 induced significant apoptosis in melanoma tumorspheres (Figure 3). Anti-PD-L1 increased the rate of apoptosis by 2-fold in both B16-F0 and B16-F1 tumorspheres. Thus, PD-L1 inhibited apoptosis of MMIC-enriched cells.

3.4. Blockage of PD-L1 Directly Affected MMICs In Vivo

Mice were challenged with melanoma cells (B16-F0 and B16-F1) and treated with 100 μg anti-PD-L1 or control rat IgG 3, 6, and 9 days following melanoma cell injection. Other studies have reported that anti-PD-L1 significantly suppressed tumor growth compared with PBS-injected animals in two animal models. Anti-PD-L1 promoted tumor rejection in 50% of B16-F0 melanoma challenged mice () and 50% of B16-F1 melanoma challenged mice (; Figures 4(a) and 4(b)). We observed that anti-PD-L1 decreased residual ALDH+ MSCs within the tumor. As shown in Figures 4(c)4(e), anti-PD-L1 promoted the rejection of 1.5-fold residual ALDH+ MMICs in the B16-F0 animal model () and 1.4-fold residual ALDH+ MMICs in the B16-F0 animal model (). These results suggest that one mechanism for the anti-tumor effects of anti-PD-L1 is related to its ability to suppress the tumorigenicity capacity of MMICs.

4. Discussion

Previous studies have shown that PD-L1 expression is a common phenomenon in immunotherapy-naive melanomas [1719]. Further studies have indicated that PD-1 expressed by melanoma cells is a tumor growth-promoting mechanism, and PD-1-driven tumorigenesis requires interaction between melanoma-PD-1 and host or melanoma-expressed PD-L1 [18]. Here, we provide several insights into the function of PD-L1 in MMICs, which is separate from its effects on the immune response. Our study found that PD-L1 was expressed in ALDH+ MMICs and induced tumorsphere formation. PD-L1 further inhibited the apoptosis of MMIC-enriched cells. Blockage of PD-L1 directly inhibited tumorigenesis in vivo and significantly decreased the residual percentage of MMICs. These results may indicate that melanoma cell-intrinsic PD-L1 promotes self-renewal and the tumorigenic capacity of MMICs.

Traditionally, PD-1 ligands have been expressed in tumor cells, leading to T-cell exhaustion and tumor cell evading the immune response, which was thought to require its receptor interaction [20]. Accordingly, several clinical trials have focused on using PD-L1-blocking antibodies to enhance immunity in cancers [2123]. However, a recent study found that melanoma-PD-1: host-PD-L1 interactions promoted murine melanoma growth [8]. In melanoma, a subpopulation of cells, namely, MMICs, is capable of not only self-renewal, differentiation, plasticity, immune evasion, and multidrug resistance, but also potentially vasculogenic mimicry, and transitioning to migratory and metastasizing derivatives, which are associated with melanoma progression and metastasis [24]. Thus, we believe that melanoma-PD-L1 may contribute to maintaining the stem cell-like properties of MMICs.

MMICs are known to have high ALDH. Previous studies have successfully used ALDH as a marker to isolate MMICs from mice [13, 15]. Our present flow cytometry results showed that PD-L1 was expressed in ALDH+ MMICs. Glioma stem cells expressed lower levels of the PD-L1 than those of differentiated glioma cells, which contributed to the higher sensitivity of glioma stem cells to the cytotoxicity of the IL-2-activated NK cells [25]. In head and neck squamous cell carcinoma, PD-L1 is preferentially expressed in CD44+ tumor-initiating cells and inhibits IFN-γ secretion by tumor-infiltrating lymphocytes (TILs) incubated with CD44+ cells [26]. These previous studies focused on the expression of PD-L1 in cancer stem cells, which induced immune evasion in cancer. The results presented here demonstrate that anti-PD-L1 inhibited the tumorsphere-forming capacity and induced apoptosis in melanoma cancer stem-like cells. Current phase-I studies targeting PD-L1, BMS-936559, and MPDL3280A have reported significant responses and survival benefits [2729]. We showed that anti-PD-L1 inhibited tumor growth in vivo, which is in agreement with these published studies.

It has been established that the expression of PD-L1 is an indicator of poor prognosis for patients' survival in many cancers, such as pulmonary adenocarcinoma, gastric cancer, colorectal cancer, and esophageal cancer [3033]. In contrast, studies of the prognostic usage of PD-L1 expression are inconsistent in melanoma [34]. As McLaughlin et al. [35] demonstrated in NSCLC, several factors contributed to false-negative PD-L1 findings, including the fact that tumor samples may be inadequate or not representative of the entire tumor mass, different anti-PD-L1-directed antibodies perform differently, and a quantitative interpretation of immunohistochemical stains has some deficiencies. As described above, PD-L1 expression in melanoma cells showed marked heterogeneity, which may have implications on the study of the prognostic usage of PD-L1 expression analysis. The present experimental data showed that anti-PD-L1 significantly decreased the residual percentage of MMICs, which indicates that the melanoma-PD-L1 pathway may be one of the many mechanisms involved in PD-L1-mediated melanoma progression. According to Tamai et al. [12], PD-L1 can directly affect cancer stem cells, which is distinct from its immunomodulatory action.

Taken together, our results suggest that melanoma-PD-L1 can enhance tumorigenesis by maintaining the stem cell properties in MMICs. Future studies are needed to elucidate the underlying cellular and molecular mechanisms, which will be helpful to maximize its clinical benefits.

Conflicts of Interest

No conflicts of interest exit in the submission of this manuscript.


The financial supports of this work are received from the National Nature Sciences Foundation of China (no. 81301954) and Hubei Provincial Health and Family Planning Scientific Research project (no. 2015060101010043). We appreciate the English Language Service (Ameican Journal Experts) who edit this manuscript.


  1. W. Zou, J. D. Wolchok, and L. Chen, “PD-L1 (B7-H1) and PD-1 pathway blockade for cancer therapy: mechanisms, response biomarkers, and combinations,” Science Translational Medicine, vol. 8, no. 328, Article ID 328rv4, 2016. View at: Publisher Site | Google Scholar
  2. G. F. Murphy, B. J. Wilson, S. D. Girouard, N. Y. Frank, and M. H. Frank, “Stem cells and targeted approaches to melanoma cure,” Molecular Aspects of Medicine, vol. 39, pp. 33–49, 2014. View at: Publisher Site | Google Scholar
  3. T. Schatton, U. Schütte, N. Y. Frank et al., “Modulation of T-cell activation by malignant melanoma initiating cells,” Cancer Research, vol. 70, no. 2, pp. 697–708, 2010. View at: Publisher Site | Google Scholar
  4. H. Pandha and G. Pawelec, “Immune checkpoint targeting as anti-cancer immunotherapy: promises, questions, challenges and the need for predictive biomarkers at ASCO 2015,” Cancer Immunology, Immunotherapy, vol. 64, no. 9, pp. 1071–1074, 2015. View at: Publisher Site | Google Scholar
  5. P. Sharma and J. P. Allison, “Immune checkpoint targeting in cancer therapy: toward combination strategies with curative potential,” Cell, vol. 161, no. 2, pp. 205–214, 2015. View at: Publisher Site | Google Scholar
  6. J. Duraiswamy, K. M. Kaluza, G. J. Freeman, and G. Coukos, “Dual blockade of PD-1 and CTLA-4 combined with tumor vaccine effectively restores T-cell rejection function in tumors,” Cancer Research, vol. 73, no. 12, pp. 3591–3603, 2013. View at: Publisher Site | Google Scholar
  7. M. K. Callahan, M. A. Postow, and J. D. Wolchok, “CTLA-4 and PD-1 pathway blockade: combinations in the clinic,” Frontiers in Oncology, vol. 4, p. 385, 2014. View at: Google Scholar
  8. S. Kleffel, C. Posch, S. R. Barthel et al., “Melanoma cell-intrinsic PD-1 receptor functions promote tumor growth,” Cell, vol. 162, no. 6, pp. 1242–1256, 2015. View at: Publisher Site | Google Scholar
  9. H. Ghebeh, A. Tulbah, S. Mohammed et al., “Expression of B7-H1 in breast cancer patients is strongly associated with high proliferative Ki-67-expressing tumor cells,” International Journal of Cancer, vol. 121, no. 4, pp. 751–758, 2007. View at: Publisher Site | Google Scholar
  10. Y. Yao, R. Tao, X. Wang, Y. Wang, Y. Mao, and L. F. Zhou, “B7-H1 is correlated with malignancy-grade gliomas but is not expressed exclusively on tumor stem-like cells,” Neuro-Oncology, vol. 11, no. 6, pp. 757–766, 2009. View at: Publisher Site | Google Scholar
  11. Y. Lee, J. H. Shin, M. Longmire et al., “Cd44+ cells in head and neck squamous cell carcinoma suppress t-cell-mediated immunity by selective constitutive and inducible expression of PD-L1,” Clinical Cancer Research, vol. 22, no. 14, pp. 3571–3581, 2016. View at: Publisher Site | Google Scholar
  12. K. Tamai, M. Nakamura, M. Mizuma et al., “Suppressive expression of CD274 increases tumorigenesis and cancer stem cell phenotypes in cholangiocarcinoma,” Cancer Science, vol. 105, no. 6, pp. 667–674, 2014. View at: Publisher Site | Google Scholar
  13. N. Ning, Q. Pan, F. Zheng et al., “Cancer stem cell vaccination confers significant antitumor immunity,” Cancer Research, vol. 72, no. 7, pp. 1853–1864, 2012. View at: Publisher Site | Google Scholar
  14. A.-R. Choi, J.-R. Park, R.-J. Kim et al., “Inhibition of Wnt1 expression reduces the enrichment of cancer stem cells in a mouse model of breast cancer,” Biochemical and Biophysical Research Communications, vol. 425, no. 2, pp. 436–442, 2012. View at: Publisher Site | Google Scholar
  15. Y. Luo, K. Dallaglio, Y. Chen et al., “ALDH1A isozymes are markers of human melanoma stem cells and potential therapeutic targets,” Stem Cells, vol. 30, no. 10, pp. 2100–2113, 2012. View at: Publisher Site | Google Scholar
  16. M. F. Clarke, J. E. Dick, P. B. Dirks et al., “Cancer stem cells—perspectives on current status and future directions: AACR workshop on cancer stem cells,” Cancer Research, vol. 66, no. 19, pp. 9339–9344, 2006. View at: Publisher Site | Google Scholar
  17. J. Gadiot, A. I. Hooijkaas, A. D. M. Kaiser, H. Van Tinteren, H. Van Boven, and C. Blank, “Overall survival and PD-L1 expression in metastasized malignant melanoma,” Cancer, vol. 117, no. 10, pp. 2192–2201, 2011. View at: Publisher Site | Google Scholar
  18. J. M. Taube, R. A. Anders, G. D. Young et al., “Colocalization of inflammatory response with B7-H1 expression in human melanocytic lesions supports an adaptive resistance mechanism of immune escape,” Science Translational Medicine, vol. 4, no. 127, Article ID 127ra37, 2012. View at: Publisher Site | Google Scholar
  19. R. Hino, K. Kabashima, Y. Kato et al., “Tumor cell expression of programmed cell death-1 ligand 1 is a prognostic factor for malignant melanoma,” Cancer, vol. 116, no. 7, pp. 1757–1766, 2010. View at: Publisher Site | Google Scholar
  20. J. M. Taube, A. Klein, J. R. Brahmer et al., “Association of PD-1, PD-1 ligands, and other features of the tumor immune microenvironment with response to anti-PD-1 therapy,” Clinical Cancer Research, vol. 20, no. 19, pp. 5064–5074, 2014. View at: Publisher Site | Google Scholar
  21. J. Larkin, V. Chiarion-Sileni, R. Gonzalez et al., “Combined nivolumab and ipilimumab or monotherapy in untreated Melanoma,” The New England Journal of Medicine, vol. 373, no. 1, pp. 23–34, 2015. View at: Publisher Site | Google Scholar
  22. M. A. Postow, J. Chesney, A. C. Pavlick et al., “Nivolumab and ipilimumab versus ipilimumab in untreated melanoma,” The New England Journal of Medicine, vol. 372, pp. 2006–2017, 2015. View at: Google Scholar
  23. P. C. Tumeh, C. L. Harview, J. H. Yearley et al., “PD-1 blockade induces responses by inhibiting adaptive immune resistance,” Nature, vol. 515, no. 7528, pp. 568–571, 2014. View at: Publisher Site | Google Scholar
  24. G. Parmiani, “Melanoma cancer stem cells: markers and functions,” Cancers, vol. 8, no. 3, article no. 34, 2016. View at: Publisher Site | Google Scholar
  25. B. Y. Huang, Y. P. Zhan, W. J. Zong et al., “The PD-1/B7-H1 pathway modulates the natural killer cells versus mouse glioma stem cells,” PLoS ONE, vol. 10, no. 8, Article ID e0134715, 2015. View at: Publisher Site | Google Scholar
  26. Y. Lee and J. Sunwoo, “PD-L1 is preferentially expressed on CD44+ tumor-initiating cells in head and neck squamous cell carcinoma,” Journal for ImmunoTherapy of Cancer, vol. 2, no. 1, p. 1, 2013. View at: Google Scholar
  27. J. R. Brahmer, S. S. Tykodi, L. Q. M. Chow et al., “Safety and activity of anti-PD-L1 antibody in patients with advanced cancer,” The New England Journal of Medicine, vol. 366, no. 26, pp. 2455–2465, 2012. View at: Publisher Site | Google Scholar
  28. O. Hamid and R. D. Carvajal, “Anti-programmed death-1 and anti-programmed death-ligand 1 antibodies in cancer therapy,” Expert Opinion on Biological Therapy, vol. 13, no. 6, pp. 847–861, 2013. View at: Publisher Site | Google Scholar
  29. O. Hamid, C. Robert, A. Daud et al., “Safety and tumor responses with lambrolizumab (anti-PD-1) in melanoma,” The New England Journal of Medicine, vol. 369, no. 2, pp. 134–144, 2013. View at: Publisher Site | Google Scholar
  30. C.-Y. Yang, M.-W. Lin, Y.-L. Chang, C.-T. Wu, and P.-C. Yang, “Programmed cell death-ligand 1 expression in surgically resected stage i pulmonary adenocarcinoma and its correlation with driver mutations and clinical outcomes,” European Journal of Cancer, vol. 50, no. 7, pp. 1361–1369, 2014. View at: Publisher Site | Google Scholar
  31. R. A. Droeser, C. Hirt, C. T. Viehl et al., “Clinical impact of programmed cell death ligand 1 expression in colorectal cancer,” European Journal of Cancer, vol. 49, no. 9, pp. 2233–2242, 2013. View at: Publisher Site | Google Scholar
  32. L. Chen, H. Deng, M. Lu, B. Xu, Q. Wang, J. Jiang et al., “B7-H1 expression associates with tumor invasion and predicts patient's survival in human esophageal cancer,” International Journal of Clinical and Experimental Pathology, vol. 7, pp. 6015–6023, 2014. View at: Google Scholar
  33. Y. Qing, Q. Li, T. Ren et al., “Upregulation of PD-L1 and APE1 is associated with tumorigenesis and poor prognosis of gastric cancer,” Drug Design, Development and Therapy, vol. 9, pp. 901–909, 2015. View at: Publisher Site | Google Scholar
  34. J. Madore, R. E. Vilain, A. M. Menzies, H. Kakavand, J. S. Wilmott, J. Hyman et al., “PD-L1 expression in melanoma shows marked heterogeneity within and between patients: Implications for anti-PD-1/PD-L1 clinical trials,” Pigment Cell and Melanoma Research, vol. 28, no. 3, pp. 245–253, 2015. View at: Publisher Site | Google Scholar
  35. J. McLaughlin, G. Han, K. A. Schalper et al., “Quantitative assessment of the heterogeneity of PD-L1 expression in non-small-cell lung cancer,” JAMA Oncology, vol. 2, no. 1, pp. 46–54, 2016. View at: Publisher Site | Google Scholar

Copyright © 2017 Fang Zheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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