Literature DB >> 30962691

Anti-PD1 up-regulates PD-L1 expression and inhibits T-cell lymphoma progression: possible involvement of an IFN-γ-associated JAK-STAT pathway.

Weili Xue1, Weiming Li1, Tiantian Zhang2, Zhaoming Li1, Yingjun Wang1, Yajuan Qiu1, Yuanyuan Wang1, Changying Chen1, Dongjun Fu3, Mingzhi Zhang1.   

Abstract

PURPOSE: NK/T-cell neoplasms are rare, highly aggressive, and insensitive to chemotherapy. These lymphomas have a poor prognosis, with patients being vulnerable to relapse. Hence, there is a need for alternative treatments. The purpose of this study is to investigate whether anti-PD1 takes effect on NK/T cell lymphoma.
METHODS: The expression of PD-L1 in NK/T cell lines was investigated by flow cytometry and by Western blot. In vivo, overall survival and median survival time of mice bearing an NK/T cell line tumor was assessed. Tumor-infiltrating T cells and monocyte-derived suppressor cells were evaluated by flow cytometry. Levels of PD-L1 and components of the JAK-STAT pathway were assessed in tumor tissues by immunohistochemistry.
RESULTS: NK/T cell lines had greater expression of PD-L1 than normal peripheral blood human NK cells. In vivo, anti-PD1 treatment improved overall survival and median survival time of mice bearing an NK/T cell line. Furthermore, anti-PD1 treatment increased levels of PD-L1. Cultured tumor-infiltrating lymphocytes from mice treated with anti-PD1 had greater levels of IFN-γ than cultured lymphocytes from untreated animals. Further, levels of JAK2 and STAT1 were greater in mice treated with anti-PD1.
CONCLUSION: In vivo, anti-PD1 inhibited the progression of an NK/T-cell lymphoma and up-regulated PD-L1 expression. This up-regulation may be through the IFN-γ-associated JAK-STAT pathway.

Entities:  

Keywords:  IFN-γ; JAK-STAT; NK/T-cell lymphoma; PD-L1; anti-PD1; immunotherapy

Year:  2019        PMID: 30962691      PMCID: PMC6433108          DOI: 10.2147/OTT.S187280

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


Introduction

Natural killer (NK)/T cell lymphomas (NKTLs) are rare, heterogeneous diseases that have an aggressive clinical course necessitating immediate treatment.1 In 2015, NKTLs accounted for approximately 15% of the estimated 71,850 cases of Non-Hodgkin Lymphoma (NHL) diagnosed in the United States, and NKTLs are differentiated into subtypes by morphology, location, immunophenotype and genetics. Patients with NKTL have a poorer outcome than those with aggressive B-cell lymphoma. National Comprehensive Cancer Network (NCCN) guidelines provide several chemotherapeutic regimens for NKTL. However, for patients with early-stage disease, the 5-year overall survival (OS) and progression-free survival (PFS) rates are 39% and 33%, respectively, even with treatment using combined chemoradiotherapy or chemotherapy alone. Hence, an urgent need exists for alternative therapies to treat this heterogeneous cancer that has poor prognosis. Immunotherapy, especially checkpoint inhibitors that block the interaction between programmed cell death 1 (PD-1) and its ligand (PD-L1), may provide such alternative therapies.2,3 PD-L1 is expressed by various cancers, including solid tumors and lymphomas, with expression of PD-L1 reportedly being associated with a poorer prognosis.4–7 The interplay between cancer cells and the tumor microenvironment has generated interest in the PD1/PD-L1 pathway as a potential therapeutic target for personalized medicine. Further, blockade of PD1 and its ligand PD-L1 has proved effective for the treatment of B-cell lymphomas.8–10 Blood serum and tissue samples from NKTL patients have been extensively analyzed for PD-1/PD-L1. For example, high levels of soluble PD-L1 (sPD-L1) have been found in the sera of nasal NKTL patients. These levels were positively associated with PD-L1 expression by lymphoma cells.11 Additionally, PD-L1 was identified in 56% of tumor cells and in 62% of total cells (including malignant and non-malignant tissues) of 73 NKTL cases.12 Although tissue samples have been extensively investigated, few studies have assessed NKTL cell lines. The effect of anti-PD-1 treatment has been clearly elucidated for a variety of neoplasms including ovarian cancer,13 melanoma14 and lung cancer.15 For ovarian cancer, anti-PD-1/CD134 monoclonal antibody (mAb) treatment increased CD4+ and CD8+ cells and decreased immunosuppressive CD4+FoxP3+ regulatory T (Treg) cells and myeloid-derived suppressor cells (MDSC). While the clinical efficacy of anti-PD-1 treatment for NKTLs has been extensively investigated, the mechanistic basis for its efficacy has not been fully elucidated. Many extrinsic factors have been demonstrated to induce the expression of PD-L1 through different signaling pathways in cancer cells. In prostate cancer and colon cancer, tumor necrosis factor alpha (TNF-α) can induce the expression of PD-L1 mainly through (nuclear factor kappa light chain enhancer of activated B cells [NF-κB]) signaling. Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKI) down-regulate PD-L1 in epidermal growth factor receptor (EGFR) mutant non-small-cell lung cancer (NSCLC) by inhibiting NF-κB.16 IL-27 can induce PD-L1 expression in ovarian cancer through activation of signal transducer and activator of transcription 3 (STAT3).17 The anticancer agent can also induce PD-L1 transcription through janus kinase 2/ signal transducer and activators of transcription 1 (JAK2/ STAT1) pathway in pancreatic cancer.18 Among them, Interferon gamma (IFN-γ) is the most potent inducer via the JAK2/STAT1 pathway in multiple types of cancers. Further, IFN-γ can induce PD-L1 expression in human oral squamous carcinoma cells in a time- and dose-dependent manner via the polycystic kidney disease (PKD2) signaling pathway.19 In the process of testing the effect of anti-PD1 in T cell lymphoma models, we found PD-L1 was up-regulated after anti-PD1 treatment. This is a novel finding in T cell lymphoma after anti-PD1 experiment. Besides, no relevant mechanism has been found to be involved. Here we further investigated the expression of PD-L1 in several NKTL cell lines and confirmed the effect of anti-PD1 on T cell lymphoma. What’s more, we found that PD-L1 was up-regulated after anti-PD1 treatment of T cell lymphoma models. Further, the mechanistic basis for this effect was evaluated.

Materials and methods

Chemicals and cell lines

Phorbol 12-myristate 13-acetate (PMA, 16561-29-8) and ionomycin (I3909) were purchased from Sigma-Aldrich (St. Louis, MO, USA). Anti-mouse PD-1 (clone RMP1-14) antibody for in vivo use was purchased from BioXCell (West Lebanon, NH, USA). YT, NKYS, NK92, KAI3, NKL and SNK-6 were obtained from ExPASy. EL4 was bought from Chinese Academy of Sciences Cell Bank (Shanghai, China). PBMCs are from human donors. YT and EL4 cells were maintained in RPMI–1640 medium supplemented with 10% fetal bovine serum (FBS). NKL and NK92 were maintained in RPMI–1640 medium with 10% FBS and 100 IU/mL rhIL-2. KAI3 was maintained in RPMI–1640 medium supplemented with 20% FBS and 100 IU/mL rhIL-2; SNK-6 was maintained in RPMI–1640 medium supplemented with 10% Human serum and 700 IU/mL rhIL-2. All media contained 100 units/mL penicillin and 100 µg/ mL streptomycin. All cell lines were maintained at 37°C in a humidified incubator containing 5% CO2.

Magnetic separation

Peripheral blood mononuclear cells (PBMCs) were isolated from human donors by density gradient centrifugation; the suspension was centrifuged at 300 × g for 10 minutes. The supernatant was aspirated completely and cell pellet was resuspended in 40 µL of buffer. Then, 10 µL of NK Cell Biotin-Antibody Cocktail was mixed well with it and incubated for 5 minutes in the refrigerator. To this, 30 µL of buffer was added again before 20 µL of the NK Cell MicroBead Cocktail was added. The mixture was incubated for an additional 10 minutes in the refrigerator. The volume was adjusted to a minimum of 500 µL and placed in the magnetic field of a miniMACS Separator and rinsed with 500 µL of buffer. Flow-through containing unlabeled cells – NK cells – were collected.

Lentivirus production and transfection

293 FT cells were seeded in a 15-cm dish in 20 mL of complete DMEM medium. Cells were incubated for 24 hours at 37°C. Full culture medium was exchanged with 8.1 mL Opti-MEM per dish. 293 FT cells were transfected with the application of polyethyleneimine (764582, Merck Life Science, Shanghai, China). The dish was mixed by rocking gently to spread the DNA. Three days after transfection, the medium containing cell debris was centrifuged and concentrate virus were collected. EL4 cells were seeded and put in 200 uL lentivirus stock. The plate was swirled to mix and incubated overnight. Three days later, GFP-positive cells were sorted and incubated at 37°C in a CO2 incubator.

CD56 expression in isolated NK cells and PD-L1 expression in cell lines by flow cytometry

A concentration of 1×106 cells were centrifuged sufficiently and washed twice with staining buffer, then 10 µg/mL of PD-L1 antibody (558065) was added and incubated for 30 minutes in dark at 4°C. Cells were washed 3 times by centrifugation at 400 × g for 5 minutes and resuspended in 500 µL of ice-cold PBS. Cells were kept in the dark at 4°C in a fridge before analyzing. The PD-L1 expression were analyzed using flow cytometry as soon as possible.

PD-L1 expression in cell lines by Western blot

Cells were lysed in radioimmunoprecipitation assay (RIPA) buffer with a Protease and Phosphatase Inhibitor Single-Use Cocktail (78443; Thermo Fisher Scientific, Waltham, MA, USA). Protein was separated by SDS–PAGE gel and immunoblotted with anti-human-PD-L1 antibody (R&D Systems, Minneapolis, MN, USA) and anti-GAPDH antibody (Abcam, Cambridge, UK). Specific proteins were visualized using Western ECL substrate (170–5060; Bio-Rad Laboratories, Hercules, CA, USA).

Tumor challenge and treatment experiments

The C57BL/6 female mice were bought from Beijing Vital River Laboratory Animal Technology Co., Ltd. (Beijing, China). Twenty mice received a subcutaneous injection of 1×106 EL4-GFP cells in 0.2 mL pure RPMI–1640 into the right armpit (day 0). All the mice subsequently developed obvious T-cell lymphoma in 4 days. Once the tumor appeared, mice were randomly allocated to the two groups (n=10 each); the treatment group received an intratumoral injection of anti-PD1 (300 µg) twice weekly, and the control group received an intratumoral injection of PBS twice weekly. During the period of treatment, once the length of the tumor reached 20 mm, the mice were euthanized. After 4 weeks of treatment, when the control group had two mice left and the treatment group four left, study was terminated. All tumors were harvested. Fixed tumors were embedded in paraffin, sectioned (4 µm thickness) and stained with haematoxylin and eosin for histological observation.

PD-L1 expression, tumor-infiltrating T cell amount and evaluation of tumor-infiltrating immune cells (TIIC) in two groups by flow cytometry

Mice which had been transplanted with EL4 cells were euthanized. Tumors were divided in to two groups and were minced into tiny block and grinded to cell suspension. Cells were filtered through 70-um filter and harvested and adjusted to a concentration of 1×106 cells/mL in staining buffer. They were then stained with mAbs (BD Bioscience) against mouse PD-L1 (564715), CD45 (553081), CD3 (745836), CD4 (563232), CD8 (561952), CD11b (552850) and Gr-1 (561103) for 30 minutes. Tumor cells were selected by gating GFP-positive cells, and the lymphocyte population was selected by gating GFP-negative and CD45-positive cells. The data were analyzed using Flow Jo software (Ashland, OR, USA). All flow cytometry experiments were performed at least two times.

Analysis of IFN-γ production by TIIC

To obtain TIIC, washed cells were isolated by sorting with GFP-negative and CD45-positive gated cells. TIIC harvested from the two groups of mice were then stimulated with 50 ng/mL phorbol 12-myristate 13-acetate (PMA) and 1 µg/mL ionomycin for 6 hours, then the IFN-γ secretion was analyzed in culture supernatants using mouse IFN-γ Quantikine ELISA Kit according to the manual (R&D systems).

PD-L1, p-JAK2 and p-STAT1 protein expression in immunohistochemistry after treatment

PD-L1 (D5V3B), p-JAK2 (Tyr 1007) and p-STAT1 (Tyr 701) protein expression was evaluated by immunohistochemistry analysis of paraffin-embedded tissues. Sections (4 µm) were cut from the paraffin blocks, blocked with 1% BSA and incubated with antibodies (PD-L1, p-JAK2, p-STAT1) (1:100 dilution) overnight at 4°C. The sections were then incubated with conjugated donkey anti-rabbit IgG for 1 hour, followed by nuclear counterstaining with haematoxylin.

Immunohistochemistry scoring

Final immunohistochemistry score was assessed by two scoring systems. One system was based on the level of antibody staining, with cells scored as 0 for no color, 1 for yellow, 2 for brown-yellow or 3 for dark brown. The other scoring system was based on antibody reactivity among 100 cells, with data expressed as a percentage. Based on the proportion of positive cells, the samples were scored as 0 (0%–10%), 1 (11%–25%), 2 (26%–50%) or 3 (51%–100%). The scores from the above scoring systems were multiplied, and a score of 0 was considered negative (−), 1–2 as mild positive (+), 3–4 as positive (++) and >5 as strongly positive (+++). Any score >1 was considered positive. Based on the final score, scores from 0 to 2 were grouped as low expression with all other scores grouped as high expression.

Statistical analysis

All statistical analyses were performed using Prism 5.0 (Standford, CA, USA). Unpaired Student’s t-tests were used to assess significant differences between the control and treatment groups. P-values <0.05 were considered statistically significant. Protein levels assessed by Western blot were analyzed by Image Studio Lite software (Cambridge, UK).

Ethics statement

The animal protocol was approved by the Institutional Ethics Review Board of Zhengzhou University (approval number: 00014350) and compliance with the National Institutes of Health guide for the care and use of laboratory animals for the care and use of laboratory animals. The protocol of obtaining PBMCs from healthy donors has their confirmation through written informed consent and compliance with the Declaration of Helsinki. The use of the PBMCs was approved by the Institutional Ethics Review Board of the First Affiliated Hospital of Zhengzhou University (approval number: 0013856).

Results

NK/T cell lymphoma cell lines have higher PD-L1 expression than normal NK cells

NK cells were isolated and purified using magnetic separation method, with the isolation efficiency being satisfactory based on the flow cytometry confirmation using GFP-conjugated CD56 antibody (Figure 1A). NKTL cell lines, including NK92, KAI3, NKL, YT and SNK-6 cells, were compared to CD56+ normal NK cells. While 58% of normal NK cells were PD-L1 positive, the positivity of PD-L1 expression on all NKTL cell lines was almost 100% (P<0.05) (Figure 1B). As shown in Figure 1C, the protein expression of PD-L1 in NKTL cells was remarkably higher than that in normal NK cells. Following band densitometry quantification on the blot, the intensity of PD-L1 in all cell lysate samples was more than two-fold higher, compared to that in normal NK cell lysate (Figure 1D). Together, the above data clearly showed that the expression of PD-L1 is significantly enhanced in NKTL cells, in comparison to that in normal NK cells.
Figure 1

To investigate the expression of PD-L1 in NK/T cell lines, we detected the protein level in Flow cytometer and Western blot.

Notes: (A) NK cells were enriched by magnetic separation. The purity of the enriched NK cell analyzed in flow cytometer was above 85%. (B) The PD-L1 expression in normal NK cells and different NK/T cell lines is shown. This experiment was done three times (P<0.05). (C) The PD-L1 expression in normal NK cells and different NK/T cell lines in Western blot is shown. (D) PD-L1 protein expression was analyzed by Image studio lite software and absolute quantity was graphed.

Anti-PD-1 treatment induces a durable antitumor effect

Since PD-L1 is expressed highly in NKTL cell lines, we evaluated the antitumor efficacy of anti-PD-1 on T cell lymphoma in vivo. Detailed treatment regimen is shown in Figure 2A. The formation of tumor volume was monitored. Overall survival curve was graphed and median survival time was calculated. Compared with control, the anti-PD1 treated group showed a modest tumor-suppressing activity, resulting in a significant increase in overall survival (1 month after tumor injection, Figure 2B). In addition, median survival time of mice in this group was longer than mice in control (Figure 2C, 28 days vs 20 days, P<0.05).
Figure 2

Anti-PD-L1 treatment induces a durable antitumor effect.

Notes: (A) Tumor challenge and treatment experimental design. (B) After 4 weeks of treatment, when the control group had two mice left and the treatment group four left, the study was terminated. The overall survival of mice was graphed (P<0.05). (C) The median survival was calculated (P<0.05).

Anti-PD1 treatment significantly increases the amount of tumor-infiltrating T cells and ratios of both CD4 and CD8 T cells to Treg cells and MDSC

To explore the mechanisms of anti-PD-1 treatment, we analyzed the effects of anti-PD1 on tumor-infiltrating cells harvested from treated mice at the end of the experiment. Compared with control, anti-PD1 significantly increased the percentages of effector CD4+FoxP3− (12.75% vs 23.27%) and CD8+ T (8.05% vs 13.28%) cells and decreased the frequency of Treg cells, (4.73% vs 4.18%) and CD11b+GR-1+ MDSC (15.33% vs 9.03%) in tumor-infiltrating cells (Figure 3A–D) These remarkable differences in effector and immunosuppressive cells led to the significantly elevated ratios of both effector CD4+ and CD8+ T cells to Treg cells and MDSC in tumor-infiltrating cells of mice receiving anti-PD1 treatment (Figure 3E–H). The anti-PD1 treatment also increased the absolute number of total tumor-infiltrating T cell (data not shown).
Figure 3

Anti-PD-1 treatment significantly increases the amount of tumor-infiltrating T cell and ratios of both CD4 and CD8 T cells to Treg cells and MDSC.

Notes: (A–D) The effect of anti-PD1 on tumor-infiltrating cell harvested from treated mice was analyzed at the end of the experiment. (E–H) These contrasting changes in effector and immunosuppressive cells gave rise to the significantly elevated ratios of both effector CD4+ and CD8+ T cells to Treg cells and MDSC in tumor-infiltrating cell of mice receiving combined anti-PD1 treatment.

In vivo anti-PD1 treatment induced PD-L1 expression through IFN-γ associated with JAK-STAT pathway in EL4 tumors

In vivo anti-PD1 treatment induced PD-L expression through IFN-γ associated with JAK-STAT pathway in EL4 tumors As we observed, the PD-L1 expression was up-regulated in the treatment group (data not shown). At the end of the animal experiment, we harvested the tumor masses from mice treated with control or anti-PD1 and examined the IFN-γ level with ELISA. The IFN-γ secretion by effector T cell in the treatment group was higher than the control group (Figure 4A; 120 vs 444.1 pg/mL; P<0.05). Herein, we sought to investigate the PD-L1, p-JAK2 and p-STAT1 protein expression using immunohistochemistry. PD-L1 and p-STAT1 were highly expressed in the treatment group and p-JAK2 was significantly expressed in treatment group (Figure 4B). Taken together, our results suggest that anti-PD1 treatment in vivo induces PD-L1 expression through IFN-γ associated with the JAK-STAT pathway in T cell lymphoma.
Figure 4

In vivo anti-PD1 treatment induced PD-L1 expression through IFN-γ associated with JAK-STAT pathway in EL4 tumors.

Notes: (A) IFN-γ concentration is higher in treatment group than the control (120 vs 444.1 pg/mL, P<0.05). (B) PD-L1, p-JAK2, p-STAT1 protein expression in IHC was evaluated. Scale bar 50 μm; magnification ×400.

Discussion

Our findings suggest that anti-PD1 inhibits tumor progression in T-cell lymphoma in vivo and increases PD-L1 expression through IFN-γ associated with JAK-STAT pathway in T cell lymphoma. Nagato et al11 evaluated the expression of PD-L1 in three NKTL cell lines and found that the PD-L1 protein was highly expressed in these lines compared with Raji cells. In this study, PD-L1 expression was detected in more NKTL cell lines compared with normal NK cell lines. In addition, in vivo study has shown that anti-PD1 inhibits tumor progression in T-cell lymphoma. Despite the clinical efficiency of anti-PD1 or PD-L1 blockades in NKTL, fully detailed mechanisms related to the immune microenvironment has not been clarified. One research group retrospectively analyzed 128 patients and observed that the increasing number of absolute lymphocytes count (ALC) is a novel, favourable, prognostic index for NKTL.20 In ovarian cancer, IFN-γ from lymphocytes induced PD-L1 expression and promoted progression.21 In nasopharyngeal carcinoma, IFN-γ was independent of, but synergetic with, LMP1 in up-regulating PD-L1.22 We speculate that anti-PD1 treatment may induce tumor PD-L1 expression by IFN-γ release from effect or T cells in T cell lymphoma, namely by the adaptive resistance mechanism recently described.23,24 Similarly, in our study, anti-PD1 treatment increased the absolute number of total tumor-infiltrating T cells and improved the overall survival of mice with T cell lymphoma. Tumor cells can escape the supervision of the immune system, and the pathogenic mechanism of inducing Treg cells has been identified in cancer in addition to the pathogen-specific cytotoxic T cells.25 Many studies have shown the negative correlation between Treg cell level and patients’ survival. For instance, one meta-analysis has shown that higher Treg cell level was significantly associated with poor prognosis in terms of overall survival.26 Of 100 tumor specimens obtained from primary invasive breast carcinoma, higher Treg cell levels were significantly associated with poor overall survival.27 In addition, in patients with glioblastoma, increased proportion of Treg cells in tumor infiltrating lymphocytes is associated with tumor recurrence and reduced survival. In spite of the negative correlation in most solid tumors, recent studies have shown higher level of Treg cells was associated with better survival in EBV associated malignancies, including nasopharyngeal carcinoma, EBV positive classical Hodgkin’s lymphoma and follicular lymphoma.28–30 Furthermore, a higher density of Treg cells correlated with better overall survival and longer progression-free survival (PFS) by univariate analysis.31 Interestingly, in our study, the anti-PD1 treatment group with lower ratio of Treg cells has a better survival. In a subset of patients with metastatic melanoma treated with checkpoint blockade anti-CTLA4 antibody (anti-CTLA4), the researchers found anti-CTLA4 predominantly inhibited Treg cells, thereby increasing the CD8 T-cell to Treg cell ratio.32 Our study shows that another checkpoint blockade anti-PD1 antibody may have a similar action. PD-L1 expression has shown to be closely correlated to the tumor patients’ prognosis and possibility of relapses. It has been reported that PD-L1 expression is the only significant independent predictor for longer overall survival in patients with NKTL, and PD-L1 might be used as a novel prognostic marker.12 Another study has shown that high-sPD-L1 group of patients showed significantly poorer prognosis than the low-sPD-L1 group in NKTL and the levels of serum sPD-L1 in patients positively correlated with the expression of PD-L1 in lymphoma cells of tumor tissues.11 No matter what different opinions exist on the correlation between the PD-L1 expression and NKTL prognosis, knockdown of PD-L1 has been shown to down-regulate tumor proliferation, tumor growth and cell cycle progression, as well as tumor invasion ability. Down-regulating the expression of PD-L1 by using shRNAi-PD-L1 on tumor cells, not only prevents tumor escape from killing by activated T cells, but also inhibits the oncogenesis of lymphoma.33 In the process of detecting the infiltrating T cell number, we checked the PD-L1 expression in tumor suspension and found that the PD-L1 expression was up-regulated after anti-PD1 treatment. IFN-γ secreted by tumor-infiltrating T cells can induce PD-L1 expression by stimulating the JAK/STAT signaling pathway in myeloid leukemia cells.34 PD-L1 expression is mainly regulated by IFN-γ, which is associated with JAK-STAT pathway in gastric cancer.35 IFN-γ secreted by CD8-positive lymphocytes upregulates PD-L1 on ovarian cancer cells and promotes tumor growth.21 The in vitro study in canine hepatocellular carcinoma and myelolipoma cells showed that IFN-γ production was enhanced in the infiltrated cells after PD-L1 monoclonal antibody treatment.36 Here, we also report that PD-L1 expression is related to the activation of JAK-STAT signaling pathway, which indicates the possibility of JAK-STAT pathway inhibition in PD-L1 down-regulation. The in vitro and in vivo study in pancreatic tumors shows that the inhibition of the JAK-STAT signaling pathway decreases tumor cell PD-L1 expression and the JAK1/JAK2 inhibitor ruxolitinib can prevent systemic inflammation in the tumor microenvironment and upregulate CTL infiltration and activation to overcome pancreatic cancer resistance to anti-PD-1 immunotherapy.37 Combination of precision medicine and immunotherapy takes individual variability into account in order to design personalized treatment strategies.7 In future, more studies on JAK pathway inhibitors as well as anti-PD1 will be conducted synergistically in NKTL.

Conclusion

Anti-PD1 inhibits tumor progression in T-cell lymphoma in vivo and may up-regulate PD-L1 expression through IFN-γ associated with JAK-STAT pathway. JAK pathway inhibitors as well as anti-PD1 may work synergistically by preventing IFN-γ induced PD-L1 expression in NKTL.
  37 in total

1.  Absolute lymphocyte count is a novel prognostic indicator in extranodal natural killer/T-cell lymphoma, nasal type.

Authors:  J J Huang; W Q Jiang; T Y Lin; Y Huang; R H Xu; H Q Huang; Z M Li
Journal:  Ann Oncol       Date:  2010-07-01       Impact factor: 32.976

2.  Interferon-γ-induced PD-L1 surface expression on human oral squamous carcinoma via PKD2 signal pathway.

Authors:  Jiao Chen; Yun Feng; Libing Lu; Hui Wang; Lina Dai; Yan Li; Ping Zhang
Journal:  Immunobiology       Date:  2011-11-03       Impact factor: 3.144

Review 3.  Immune suppression by tumor-specific CD4+ regulatory T-cells in cancer.

Authors:  Rong-Fu Wang
Journal:  Semin Cancer Biol       Date:  2005-09-06       Impact factor: 15.707

4.  Phase I study of single-agent anti-programmed death-1 (MDX-1106) in refractory solid tumors: safety, clinical activity, pharmacodynamics, and immunologic correlates.

Authors:  Julie R Brahmer; Charles G Drake; Ira Wollner; John D Powderly; Joel Picus; William H Sharfman; Elizabeth Stankevich; Alice Pons; Theresa M Salay; Tracee L McMiller; Marta M Gilson; Changyu Wang; Mark Selby; Janis M Taube; Robert Anders; Lieping Chen; Alan J Korman; Drew M Pardoll; Israel Lowy; Suzanne L Topalian
Journal:  J Clin Oncol       Date:  2010-06-01       Impact factor: 44.544

5.  Treatment and prognosis of mature T-cell and NK-cell lymphoma: an analysis of patients with T-cell lymphoma treated in studies of the German High-Grade Non-Hodgkin Lymphoma Study Group.

Authors:  Norbert Schmitz; Lorenz Trümper; Marita Ziepert; Maike Nickelsen; Anthony D Ho; Bernd Metzner; Norma Peter; Markus Loeffler; Andreas Rosenwald; Michael Pfreundschuh
Journal:  Blood       Date:  2010-07-21       Impact factor: 22.113

6.  Outcome in Hodgkin's lymphoma can be predicted from the presence of accompanying cytotoxic and regulatory T cells.

Authors:  Tomás Alvaro; Marylène Lejeune; Ma Teresa Salvadó; Ramón Bosch; Juan F García; Joaquín Jaén; Alison H Banham; Giovanna Roncador; Carlos Montalbán; Miguel A Piris
Journal:  Clin Cancer Res       Date:  2005-02-15       Impact factor: 12.531

7.  Correlation of high numbers of intratumoral FOXP3+ regulatory T cells with improved survival in germinal center-like diffuse large B-cell lymphoma, follicular lymphoma and classical Hodgkin's lymphoma.

Authors:  Alexandar Tzankov; Cecile Meier; Petra Hirschmann; Philip Went; Stefano A Pileri; Stephan Dirnhofer
Journal:  Haematologica       Date:  2008-01-26       Impact factor: 9.941

8.  Circulating and tumor-infiltrating Foxp3⁺ regulatory T cell subset in Chinese patients with extranodal NK/T cell lymphoma.

Authors:  Rou-Jun Peng; Zhou-Feng Huang; Yi-Lan Zhang; Zhong-Yu Yuan; Yi Xia; Wen-Qi Jiang; Yi-Xin Zeng; Jiang Li
Journal:  Int J Biol Sci       Date:  2011-08-19       Impact factor: 6.580

9.  Diagnostic and prognostic utility of PD-1 in B cell lymphomas.

Authors:  S Muenst; S Hoeller; N Willi; S Dirnhofera; A Tzankov
Journal:  Dis Markers       Date:  2010       Impact factor: 3.434

10.  Different subsets of tumor infiltrating lymphocytes correlate with NPC progression in different ways.

Authors:  Yi-Lan Zhang; Jiang Li; Hao-Yuan Mo; Fang Qiu; Li-Min Zheng; Chao-Nan Qian; Yi-Xin Zeng
Journal:  Mol Cancer       Date:  2010-01-10       Impact factor: 27.401

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  10 in total

Review 1.  Predictive biomarkers and mechanisms underlying resistance to PD1/PD-L1 blockade cancer immunotherapy.

Authors:  Daixi Ren; Yuze Hua; Boyao Yu; Xin Ye; Ziheng He; Chunwei Li; Jie Wang; Yongzhen Mo; Xiaoxu Wei; Yunhua Chen; Yujuan Zhou; Qianjin Liao; Hui Wang; Bo Xiang; Ming Zhou; Xiaoling Li; Guiyuan Li; Yong Li; Zhaoyang Zeng; Wei Xiong
Journal:  Mol Cancer       Date:  2020-01-30       Impact factor: 27.401

2.  IFN-γ induces PD-L1 through p38/JNK/ERK signaling pathways and counteracts the tumor promoting effect mediated by PD-L1 in Glioblastoma.

Authors:  Huafang Jia; Xiaoli Xie; Long Wang; Lijuan Wang; Fengyuan Che
Journal:  Comput Intell Neurosci       Date:  2022-06-29

3.  CXCL8 Promotes Glioma Progression By Activating The JAK/STAT1/HIF-1α/Snail Signaling Axis.

Authors:  Zhiming Chen; Lei Mou; Yiheng Pan; Chi Feng; Jingjing Zhang; Junjun Li
Journal:  Onco Targets Ther       Date:  2019-10-03       Impact factor: 4.147

4.  Circulating Levels of PD-L1 in Mesothelioma Patients from the NIBIT-MESO-1 Study: Correlation with Survival.

Authors:  Carla Chiarucci; Sara Cannito; Maria Grazia Daffinà; Giovanni Amato; Gianluca Giacobini; Ornella Cutaia; Maria Fortunata Lofiego; Carolina Fazio; Diana Giannarelli; Riccardo Danielli; Anna Maria Di Giacomo; Sandra Coral; Luana Calabrò; Michele Maio; Alessia Covre
Journal:  Cancers (Basel)       Date:  2020-02-05       Impact factor: 6.639

5.  PD1 blockade enhances K+ channel activity, Ca2+ signaling, and migratory ability in cytotoxic T lymphocytes of patients with head and neck cancer.

Authors:  Hannah S Newton; Vaibhavkumar S Gawali; Ameet A Chimote; Maria A Lehn; Sarah M Palackdharry; Benjamin H Hinrichs; Roman Jandarov; David Hildeman; Edith M Janssen; Trisha M Wise-Draper; Laura Conforti
Journal:  J Immunother Cancer       Date:  2020-10       Impact factor: 13.751

6.  Identification of Prognostic Biomarkers and Molecular Targets Among JAK Family in Breast Cancer.

Authors:  Fangteng Liu; Hengyu Wu
Journal:  J Inflamm Res       Date:  2021-01-14

Review 7.  Targeting the PD-1 Axis with Pembrolizumab for Recurrent or Metastatic Cancer of the Uterine Cervix: A Brief Update.

Authors:  Yannick Verhoeven; Delphine Quatannens; Xuan Bich Trinh; An Wouters; Evelien L J Smits; Filip Lardon; Jorrit De Waele; Peter A van Dam
Journal:  Int J Mol Sci       Date:  2021-02-11       Impact factor: 5.923

8.  CALD1 promotes the expression of PD-L1 in bladder cancer via the JAK/STAT signaling pathway.

Authors:  Cheng Li; Fuhan Yang; Ruiliang Wang; Wei Li; Niraj Maskey; Wentao Zhang; Yadong Guo; Shenghua Liu; Hong Wang; Xudong Yao
Journal:  Ann Transl Med       Date:  2021-09

9.  Orexin A Suppresses the Expression of Exosomal PD-L1 in Colon Cancer and Promotes T Cell Activity by Inhibiting JAK2/STAT3 Signaling Pathway.

Authors:  Jing Wen; Xiaocen Chang; Bowen Bai; Qian Gao; Yuyan Zhao
Journal:  Dig Dis Sci       Date:  2021-06-07       Impact factor: 3.487

10.  CPI-203 improves the efficacy of anti-PD-1 therapy by inhibiting the induced PD-L1 overexpression in liver cancer.

Authors:  Xiaoge Niu; Wei Wang; Taizhen Liang; Shasha Li; Chan Yang; Xinfeng Xu; Lin Li; Shuwen Liu
Journal:  Cancer Sci       Date:  2021-11-18       Impact factor: 6.716

  10 in total

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