Elevated peripheral blood B lymphocytes and CD3+CD4‑CD8‑ T lymphocytes in patients with non‑small cell lung cancer: A preliminary study on peripheral immune profile
- Authors:
- Published online on: April 4, 2018 https://doi.org/10.3892/ol.2018.8424
- Pages: 8387-8395
-
Copyright : © Liang et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY 4.0].
Abstract
Introduction
Malignant tumor is able to elicit host immune response (1–4). However, according to the cancer immunoediting theory, subpopulations of genetically heterogeneous neoplastic cells evolve to escape immune surveillance and thrive (5). During recent decades, numerous experimental and clinical studies have demonstrated that tumor cells surviving from immune surveillance acquire various (6) capacities to change constitution and/or function of immune and stromal cells at the tumor site, creating topical immunosuppressive milieu, thus the concept of tumor microenvironment (TME) was proposed (7), which could partly explain why and how tumor cells avoid antitumor immune responses. The specific mechanisms involved in TME are highly complicated, including tumor cell exploiting co-inhibitory signaling molecules through interaction with immune cells, secretion of immunosuppressive cytokines, recruitment of immune regulatory cells [regulatory T lymphocyte (Treg) and myeloid-derived suppressor cell (MDSC)], inducing cancer-related fibroblast and tumor-associated macrophage, and other unidentified pathways (6,8–10). Notably, a number of these mechanisms are important self-protective measures from tissue damage caused by excessive immune reaction (11,12). Based on these findings, a number of monoclonal antibody agents were developed which benefit many patients with malignant tumors (13–15). To date, the critical role of TME in altering the biological behaviors of tumors have been established, and it is proposed that genetic alterations in neoplastic cells as well as the host immune system affect tumorigenesis and progression (16).
Moreover, experimental evidence suggests that primary tumor lesions are able to exert systemic effects by various means. For example, a number of studies demonstrate that the systemic effects of the tumor are able to form so-called pre-metastatic niches in distant tissues or organs, and also facilitate its own progression (17–22). By contrast, some studies indicate that the systemic effects of the tumor are able to inhibit metastasis (23,24). In spite of these inconsistent findings, it has been demonstrated that the tumor is able to exhibit systemic effects. Therefore, it is hypothesized since tumor cells are able to reshape immune and stromal cell profile at the tumor site, the systemic effects of the tumor may adapt peripheral immune components to create a pro-tumor peripheral immune environment. Nevertheless, at present, there is a lack of direct evidence for peripheral immune profile in tumor patients.
The present authors are particularly interested in tumor metastasis, which is also the most common type of relapse for the majority of malignancies following complete resection and adjuvant therapies, particularly for lung cancer, which has one of the highest cancer-associated mortalities and incidence among malignant tumors according to recent statistics (25). Numerous patients with small primary malignant lesions develop metastasis, which suggests that metastasis is a relatively unique process inproportionate with the topical progression of the tumor (26).
At present, there is limited information regarding why and how tumor cells can be safely transported through the blood or lymphatic vessel to another organ or lymph node without being captured and killed by circulating immune components. Another question is how latent micrometastasis develop to be clinically detectable. Theoretically, if the peripheral immune system were robust, it would be highly probable for metastatic tumor cells in circulation to be eliminated. Therefore, the present authors hypothesize that the peripheral immune environment may be adapted in a way so the metastatic cells can evade from the immune response.
In the present study, a preliminary study was performed to characterize the profile of the peripheral circulating immune system in patients with non-small cell lung cancer (NSCLC) and healthy controls by assaying the proportion of lymphocyte subpopulations and the levels of a number of tumor-associated cytokines. Furthermore, comparisons were also performed between NSCLC patients with and without metastasis.
Materials and methods
The present study was conducted following Human Experimentation Review and approved by Research Ethics Committee of the General Hospital of People's Liberation Army and the General Hospital of Beijing Command. Informed consent was obtained from all patients enrolled in the present study, and information from the patients was protected. From April 2015 to December 2015, 48 eligible patients with NSCLC, who were admitted to either the General Hospital of Beijing Command (Beijing, China) or the General Hospital of People's Liberation Army (Beijing, China), were included in the present study. Patient age ranged from 42–72 years, with the mean age of 56. The inclusion criteria were as follows: i) Having a clinical diagnosis of lung cancer; ii) being newly diagnosed without receiving any antitumor therapy; iii) without acute or chronic inflammatory disease during study; iv) without suffering from immunodeficiency condition; v) without suffering from immune-related disease; vi) without a history of long-term drug therapy that may affect immunity. The exclusion criteria were as follows: i) Pathological diagnosis of benign disease or small cell lung cancer (SCLC); ii) without pathological diagnosis; iii) incomplete examinations and iv) the presence of other concomitant malignancy. A total of 21 patients admitted to General Hospital of Beijing Command were also included as the control group: Two patients were pathologically diagnosed as lung hamartoma, one patient was pathologically diagnosed as costal fibrous dysplasia, and 18 patients were diagnosed as congenital chest wall deformity. The inclusion criteria for the control group were as follows: i) Without any type of malignant tumor; ii) without acute or chronic inflammatory disease during study; iii) without suffering from immunodeficiency disorders; iv) without suffering from immune-related disease and v) without a history of long-term drug therapy that may affect immunity. All participants were divided into two groups: NSCLC group and control group. Additionally, the NSCLC group was further divided into two subgroups: Subgroup I (NSCLC at stage I; n=17) and subgroup II (NSCLC with metastasis; n=31). In subgroup I, 16 patients were at pathological stage I, and 1 patient was at clinical stage I. In subgroup II, lymph node metastasis was pathologically confirmed, and distant metastasis was confirmed with imaging.
Peripheral blood and serum sample
Peripheral venous blood were obtained from patients in the morning and stored separately in heparin-coated and non-coagulated tubes. The blood samples were transferred immediately to the laboratory. Serum was aliquoted by centrifugation (200 × g for 10 min) at room temperature, then stored at −80°C for subsequent assay to detect the level of cytokines.
Flow cytometric assay of lymphocyte subpopulations
The reagents used for immunostaining were as follows: Fluorescein isothiocyanate (FITC) or phycoerythrin cyanin (PC)7-conjugated anti-cluster of differentiation (CD)3 (20 µl; catalog no. 6607100) PC5-conjugated anti-CD4 (10 µl; catalog no. H07752), FITC-conjugated anti-CD8 (20 µl; catalog no. H07756), phycoerythrin (PE)-conjugated anti-CD25 (20 µl; catalog no. H07774), PC7-conjugated anti-CD19 (10 µl; catalog no. IM3628), PE-conjugated anti-CD56 (20 µl; catalog no. H07788) and PE-conjugated anti-CD16 (20 µl; catalog no. H07766) (all from Beckman Coulter, Inc., Brea, CA, USA).
Cell staining
Blood samples were stained according to the manufacturer's instructions, and the following panels were designed: i) CD8-FITC/CD25-PE/CD45-ECD/CD4-PC5/CD3-PC7 and ii) CD3-FITC/CD16+56-PE/CD45-ECD/CD14-PC5/CD19-PC7.
Quantification by flow cytometry
Following staining, the blood samples were assayed using a 5-colored uni-laser flow cytometer (FC500; Beckman Coulter, Inc.). Data analysis was undertaken using the CXP software (Beckman Coulter, Inc., Brea, CA, USA. The combinations of antibodies used for analysis are follows: CD3+ for T lymphocytes, CD19+ for B lymphocytes, CD3+CD4-CD8- for double-negative T lymphocytes (DN T cells), CD3+CD4+CD25+ for activated T lymphocytes, CD3+CD4+CD25 high roughly for Treg, CD3+CD16+CD56+ for natural killer T cells and CD3-CD16+CD56+ for natural killer cells.
Flow cytometric assay of serum cytokines
Serum cytokine levels [including interferon (IFN)-γ, tumor necrosis factor (TNF)-α, transcription growth factor (TGF)-β, interleukin (IL)-2, IL-4, IL-6, IL-10 and IL-17A] were assayed by using the commercially available Aimplex human Th1/Th2/Th17plex assay kit and the human TGF-β assay kit, from AimPlex Biosciences, (Pomona, CA, USA) and Beijing Quantobio Biotechnology Co., Ltd. (Beijing, Chin), respectively, following the manufacturer's instructions. Quantitation measurements were performed by a 4-colored uni-laser flow cytometer (FACSCalibur; BD Biosciences, Franklin Lakes, NJ, USA). FCAP Array software (version 3.0) was used to process data. Standard curves for each type of cytokine were generated with manufacturer-supplied reference analytes.
Statistical analysis
The data are presented as the mean or mean ± standard deviation. To compare the proportion of lymphocytes and subpopulations between groups, Student's t-test or Wilcoxon rank-sum test were used. Similarly, Student-test or Wilcoxon rank-sum test was used to compare concentrations of cytokines between groups. P<0.05 was considered to indicate a statistically significant difference. Statistical analysis was performed using the SPSS software (version 13; SPSS, Inc., Chicago, IL, USA).
Results
General characteristics of the participants
There were 48 eligible NSCLC patients participating the present study. Among them, 30 cases were male, 18 cases were female. A total of 29 cases were diagnosed with adenocarcinoma, 14 cases with squamous cell carcinoma, 3 cases were adenosquamous carcinoma and 2 cases with large cell carcinoma (Table I).
Distribution of lymphocyte subpopulations as determined by flow cytometric analysis (Fig. 1A-D). Lymphocyte subsets between the NSCLC group and the control group were compared (Table II). The results indicated that the percentage of lymphocytes in the NSCLC group was significantly lower compared with the control group (P=0.008; Fig. 2). Additionally, the proportion of B cells (CD19+) among lymphocytes in the NSCLC group was significantly lower compared with the control group (P<0.0001; Fig. 3 and Table II). The proportion of DN T cells (CD3+CD4-CD8-) among lymphocytes in the NSCLC group was significantly lower compared with the control group (P=0.001; Fig. 4 and Table II). However, there were no significant differences in the proportion of other subpopulations assayed (Table II). The ratio of CD4+/CD8+ cells was not significantly different between the NSCLC group and the control group (Table II).
Subsequently, comparisons between subgroups I and II were performed (Table III). The percentage of lymphocytes in subgroup I was significantly higher compared with subgroup II (P<0.0001; Fig. 5 and Table III). However, there were no significant differences in the proportion of other assayed subpopulations between subgroups I and II. There were also no significant differences between the two groups in the proportions of CD3+CD4+CD25+, CD3+CD4+CD25high and CD3+CD4+ cells (Table III).
Levels of cytokines
In the present study, the levels of eight types of cytokines, including IL-2, IL-4, IL-6, IL-10, IL-17A, TNF-α, TGF-β and IFN-γ were analyzed. Comparisons were performed for each of the eight cytokines between the NSCLC group and the control group. The results indicated that the levels of IL-6 in the NSCLC group were significantly higher compared with the control group (0.008) (Table IV). However, there were no significant differences for other cytokines (Table IV). Subsequently, comparisons were performed in the levels of cytokines between subgroups I and II, and no significant differences were identified (Table IV).
Discussion
Malignant tumor remains one of the biggest threats to human health. According to statistics, the total number of cancer-associated mortalities worldwide in was 8.2 million, and the number of newly diagnosed cases was 14.1 million (25). Although intensive research has been conducted to unravel tumorigenesis and to identify novel therapeutic approaches and as a result enormous progress has been made in knowledge and clinical management, there remains to be questions regarding the underlying mechanisms of tumor.
Molecular and biological studies revealed that neoplastic cells are genetically unstable and heterogeneous, which account for complexity and diversity of tumorigenesis and its biological behaviors. Host immune response targeting malignant tumor in patients and animal models have long been observed (1–3,27). As conventional therapeutic modalities are mostly concerned with prolonging the survival time of patients with marked toxic side effects, various types of immunotherapy have been attempted for decades (28). During the recent decade, the breakthrough finding of TME made tumor immunology another focus for investigation in tumor biology.
It is now clear that tumor cells have evolved to acquire various capacities to alter the topical milieu of tumor tissues, and to facilitate proliferation and invasion (29). The complicated mechanisms remain to be completely elucidated, and mechanisms that have been established includes exploitation of co-inhibitory checkpoint molecules through interaction between tumor cells and immune effector cells, recruitment of immune suppressive cells (Tregs and MDSCs), secretion of inhibitory cytokines and other agents, and reshaping the function of stromal and immune cells (6,8–10,30). These findings provide new strategy and targets for immunotherapy, and newly developed monoclonal agents based on these findings have achieved good clinical effects (13,14).
Since TME has a critical role in the biological behavior of tumor, it has been proposed that the involvement of the immune system is equally important in tumor development. Recently, evidence suggested that tumor cells were not only able to manipulate and reform local environment, but also exert systemic influence through tumor-derived cytokines and microvesicles. It was demonstrated that the systemic effects of the tumor could compromise distant tissues and organs so as to facilitate metastasis, and promote tumor growth (16). Nevertheless, there were also a number of studies (31) with inconsistent results (24). These seemingly contradictory findings suggest the complexity of the systemic effects of tumors.
Theoretically since tumors are able to exert systemic effects, it is highly likely that they may adapt to the peripheral environment to facilitate progression and metastasis (32). Increasing evidence suggest that tumor is a systemic disease in that topical alteration within tumor tissue is closely associated with its systemic effect, for example the recruitment of Tregs into tumor site is accompanied by increased levels of Tregs in the peripheral blood (33,34).
In the present study, the changes in the proportions of peripheral lymphocytes and subpopulations were analyzed. The findings indicated that the percentage of lymphocytes in the NSCLC group was significantly lower compared with the control group (P=0.008). This is in accordance with results in other types of malignant tumor (35,36).
To date, the reason or specific mechanisms for lymphopenia in malignant tumor is unclear. Ray-Coquard et al (37) proposed that a decreased lymphocyte count might reflect immunosuppressive condition in the tumor-bearing host, which suggest that the host tends to have an inadequate immunological reaction. A decreased lymphocyte count might also be a consequence of lympholysis caused by cytokines produced by tumor cells in the case of lymphoma (37).
The present study hypothesized that decreased lymphocyte count in tumor-bearing host is caused by tumor lesion, which is supported by evidence that elimination of tumor lesion by tumor antigen vaccination treatment is able to normalize decreased lymphocyte frequency (37). The results of the present study indicated that the percentage of lymphocytes in NSCLC with metastasis is significantly lower compared with the percentage in early stage NSCLC, which also support the hypothesis that decreased lymphocyte is associated with tumor progression. In addition, since tumor with metastasis is indicative of poor prognosis, the findings of the present study support that lymphopenia is an independent prognostic factor for overall and progression-free survival in cancer (37). However, the specific underlying mechanisms of how tumor affects the proportion of peripheral lymphocytes require further studies.
In the present study, it was observed that the proportion of CD3+CD4-CD8-cells, a poorly known subpopulation in the peripheral blood, was significantly lower compared with the control group (P=0.001), which has not been reported in any types of tumor previously. CD3+CD4-CD8-lymphocytes are also known as DN T cell with αβT-cell receptor (TCR) or γδTCR. The CD3+CD4-CD8-subpopulation is very small in number and represents 1–3% of peripheral mononuclear cells. CD3+CD4-CD8-cells are mainly distributed in the peripheral blood and lymph nodes (38,39). A previous study demonstrated that this novel subset of T cell might have a role in autoimmune disease, transplantation, viral infection and malignant tumor by exerting different functions (40). DN T cells are able to suppress CD4+ and CD8+ T cell-mediated response by eliminating effector T cells in murine models via the combination of Fas/Fas ligand or perforin/granzyme secretion, or suppressing the proliferation of activated T cells in humans via cell-cell interactions (41). Due to immunosuppressive properties of DN T cells, DN T cell has been proposed as a novel therapeutic target for autoimmune disease and transplantation. Studies have demonstrated that DN T cells are able to enhance the survival of organ allografts and xenografts (42). In human infections caused by the human immunodeficiency virus and Simian immunodeficiency virus, DN T cells are able to exert T helper cell-like functions in compensation for very low levels of CD4+ T cells (43).
The roles of DN T cells in tumor have been gradually unraveled. Young et al (44) demonstrated that isolated DN T cells are able to kill lymphoma A20 cells in vitro, and prevent lymphoma cell growth in a mouse model (44). Merims et al (45) proposed a novel approach to expand DN T cells isolated from leukemia patients in vitro, and the results indicated that expanded DN T cells were able to kill leukemia blast cells isolated from patients in vitro via a perforin-dependent mechanism (45). Additionally, Voelkl et al (46) identified a DN T cell clone capable of killing melanoma cell isolated from a patient.
The findings of the present study suggest that tumor cells might decrease the proportion of peripheral DN T cells by an unidentified mechanism in order to create a favorable peripheral environment for distant organ metastasis since DN T cells are able to kill tumor cells directly in the absence of CD8+ cells. If this finding is verified in future studies, DN T cells may be a promising therapeutic target for clinic prevention and control of metastasis. Further studies on the capability of DN T cells in the killing of NSCLC tumor cells would provide important insight.
Notably, the present study also observed that the proportion of peripheral B lymphocytes in the NSCLC group was significantly lower compared with the in control group (P<0.0001), which has not previously been reported in any type of tumor. Except for its common function of antigen presentation and antibody production or secretion, the role of B lymphocytes in tumor has long been observed (47–49). Many studies using murine models demonstrated that B cells were able to markedly suppress antitumor immunity in various types of tumor. In the B cell deficient mice (BCDM) model, slow growth or regression of implanted tumors was associated with indicators of antitumor immune responses, including dense infiltration of CD4+ and CD8+ T cells in the tumor bed, increased Th1 response and enhanced Cytotoxic T lymphocyte-mediated cytotoxity against tumor cells (48). By contrast, tumor growth restored when B cells were transplanted into BCDM or wild-type mice (48–50).
A subset of B cells was recognized with immunosuppressive function, namely B regulatory cells (Breg) (51). Breg has been identified with different phenotypes in different settings. Studies indicated that B regs were able to induce primary CD4+ T cell differentiation into the Th1/Th2 type (52). However, the mechanism and the specific conditions that enable B reg cells to exert this function are unclear. Moreover, B regs have been demonstrated to be able to promote the conversion of naive CD4+ T cells into Tregs, Tregs have been established to exert an important immunosuppressive role in TME. A number of studies support that the observation that the effect of Bregs in tumor may be mediated by the conversion of Tregs (53). In tumor models, Bregs have been observed to infiltrate tumor tissues. Tumor infiltrating Bregs [(TIL, tumor-infiltrating lymphocytes)-Bregs] are able to express various immunosuppressive molecules, which may mediate their immunosuppressive effect (53). However, the role of Bregs in tumor remains controversial since studies indicate that TIL-Breg is associated with improved survival (54), and some studies indicated that B cells may have a protective against tumor (55). Based on these studies, it is hypothesized that the preliminary findings of the present study indicate that B cells may be recruited into tumor tissues.
Circulating cytokine is closely associated with systemic and local immune status in disease, such as cancer. In the present study, it was observed that the level of IL-6 in the NSCLC group was significantly higher compared with the control group (P=0.008), whereas the proportions of the other 7 cytokines, including IFN-γ, TNF-α, TGF-β, IL-2, IL-4, IL-10 and IL-17A, were not significantly different between the NSCLC group and the control group. In addition, the levels of none of the cytokines was significantly different between subgroups I and II. Previous in vitro experiments demonstrated that IL-6 may have a dual role in antitumor immunity. IL-6 is able to promote tumor growth through downstream mediators and help sustain immunosuppressive milieu in TME (56). Additionally, IL-6 is also an important mediator of T cell recruitment to lymph nodes and tumor site, and skewing the conversion of CD4+ T cells from Tregs to a Th17 phenotype (56). Lippitz (57) also concluded that circulating IL-6 level is elevated in cancer patients and is also correlated with poor prognosis (50). Moreover, Lippitz (57) proposed that systemic cytokine cascade is characteristic of cancer (50).
The authors of the present study support the hypothesis that systemic cytokine changes are closely associated with tumor progression, which may be regulated by the tumor considering tumor cells are able to secret various pro-tumor cytokines. Although, in the present study, significant changes in the levels of cytokines were not observed, which is inconsistent with the analysis of Lippitz (57), the reason may be due to a relatively smaller sample size used in the present study. The present authors support the hypothesis that systemic cytokine cascade exists in patients with tumors, which reflects tumor stage and host immune status. Furthermore, these changes in the level of cytokines may be potential targets for immunotherapy.
In conclusion, it was observed in the present study that in NSCLC patients, the proportion of lymphocytes and two subpopulations (CD3+CD4-CD8- and CD19+) were significantly different between NSCLC patients and healthy controls.
The level of circulating IL-6 in NSCLC patients was also significantly higher in the NSCLC group compared with healthy controls. These preliminary results support the hypothesis that peripheral immune system is adapted by tumor lesion, and a further question is whether if it is a strategy adopted by tumor cells in order to facilitate progression and metastasis. Further studies which focus on the role of peripheral B cells and DN T cells in tumor may determine if these cells have a role in immunosurveillance and provide a novel strategy for immunotherapy.
Acknowledgements
Not applicable.
Funding
No funding was received.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
HL analyzed the data and was a major contributor in writing the manuscript. XC made substantial contribution to the conception and design of study and gave the final approval of the version to be published. JZ had major role in designing the study. GX and YS made substantial contribution in analysis and interpretation of the data. All authors read and approved the final manuscript.
Ethics approval and consent to participate
This study was approved by Research Ethics Committee of the General Hospital of People's Liberation Army (approval no. S2015-02-11). All patients provided informed consent to participate this study.
Consent for publication
Informed consent was obtained from all patients included in this study for publication of the associated data and the accompanying image.
Competing interests
The authors declare that they have no competing interests.
Glossary
Abbreviations
Abbreviations:
NSCLC |
non-small cell lung cancer |
TME |
tumor microenvironment |
MDSC |
myeloid-derived suppressor cell |
Treg |
regulatory T lymphocyte |
SCLC |
small cell lung cancer |
IFN-γ |
interferon-γ |
TNF-α |
tumor necrosis factor-α |
TGF-β |
transcription growth factor-β |
SD |
standard deviation |
References
Gross L: Intradermal immunization of C3H mice against a sarcoma that originated in an animal of the same line. Cancer Res. 3:326–333. 1943. | |
Prehn RT and Main JM: Immunity to methylcholanthrene-induced sarcomas. J Natl Cancer Inst. 18:769–778. 1957.PubMed/NCBI | |
Hewitt HB, Blake ER and Walder AS: A critique of the evidence for active host defence against cancer, based on personal studies of 27 murine tumours of spontaneous origin. Br J Cancer. 33:241–259. 1976. View Article : Google Scholar : PubMed/NCBI | |
Klein G and Klein E: Immune surveillance against virus-induced tumors and nonrejectability of spontaneous tumors: Contrasting consequences of host versus tumor evolution. Proc Natl Acad Sci USA. 74:2121–2125. 1977. View Article : Google Scholar : PubMed/NCBI | |
Schreiber RD, Old LJ and Smyth MJ: Cancer immunoediting: Integrating immunity's roles in cancer suppression and promotion. Science. 331:1565–1570. 2011. View Article : Google Scholar : PubMed/NCBI | |
Chen F, Zhuang X, Lin L, Yu P, Wang Y, Shi Y, Hu G and Sun Y: New horizons in tumor microenvironment biology: Challenges and opportunities. BMC Med. 13:452015. View Article : Google Scholar : PubMed/NCBI | |
Swartz MA, Iida N, Yull FE, Roberts EW, Sangaletti S, Wong MH, Yull FE, Coussens LM and DeClerck YA: Tumor microenvironment complexity: Emerging roles in cancer therapy. Cancer Res. 72:2473–2480. 2012. View Article : Google Scholar : PubMed/NCBI | |
Lindau D, Gielen P, Kroesen M, Wesseling P and Adema GJ: The immunosuppressive tumour network: Myeloid-derived suppressor cells, regulatory T cells and natural killer T cells. Immunology. 138:105–115. 2013. View Article : Google Scholar : PubMed/NCBI | |
Obeid E, Nanda R, Fu YX and Olopade OI: The role of tumor-associated macrophages in breast cancer progression (Review). Int J Oncol. 43:5–12. 2013. View Article : Google Scholar : PubMed/NCBI | |
Shiga K, Hara M, Nagasaki T, Sato T, Takahashi H and Takeyama H: Cancer-associated fibroblasts: Their characteristics and their roles in tumor growth. Cancer (Basel). 7:2443–2458. 2015. View Article : Google Scholar | |
Anderson AC, Joller N and Kuchroo VK: Lag-3, Tim-3, and TIGIT: Co-inhibitory receptors with specialized functions in immune regulations. Immunity. 44:989–1004. 2016. View Article : Google Scholar : PubMed/NCBI | |
Smigiel KS, Srivastava S, Stolley JM and Campbell DJ: Regulatory T-cell homeostasis: Steady-state maintenance and modulation during inflammation. Immunol Rev. 259:40–45. 2014. View Article : Google Scholar : PubMed/NCBI | |
Ott PA, Hodi FS and Robert C: CTLA-4 and PD-1/PD-L1blockade: New immunotherapeutic modalities with durable clinical benefit in melanoma patients. Clin Cancer Res. 19:5300–5309. 2013. View Article : Google Scholar : PubMed/NCBI | |
Romano E and Romero P: The therapeutic promise of disrupting the PD-1/PD-L1 immune checkpoint in cancer: Unleashing the CD8 T cell mediated anti-tumor activity results in significant, unprecedented clinical efficacy in various solid tumors. J Immunother Cancer. 3:152015. View Article : Google Scholar : PubMed/NCBI | |
Mitchem JB, Brennan DJ, Knolhoff BL, Belt BA, Zhu Y, Sanford DE, Belaygorod L, Carpenter D, Collins L, Piwnica-Worms D, et al: Targeting tumor-infiltrating macrophages decreases tumor-initiating cells, relieves immunosuppression and improves chemotherapeutics responses. Cancer Res. 73:1128–1141. 2013. View Article : Google Scholar : PubMed/NCBI | |
McAllister SS and Weinberg RA: The tumour-induced systemic environment as a critical regulator of cancer progression and metastasis. Nat Cell Biol. 16:717–727. 2014. View Article : Google Scholar : PubMed/NCBI | |
Hiratsuka S, Nakamura K, Iwai S, Murakami M, Itoh T, Kijima H, Shipley JM, Senior RM and Shibuya M: MMP9 induction by vascular endothelial growth factor receptor-1 is involved in lung-specific metastasis. Cancer Cell. 2:289–300. 2002. View Article : Google Scholar : PubMed/NCBI | |
Kaplan RN, Riba RD, Zacharoulis S, Bramley AH, Vincent L, Costa C, MacDonald DD, Jin DK, Shido K, Kerns SA, et al: VEGFR1-positive haematopoietic bone marrow progenitors initiate the pre-metastatic niche. Nature. 438:820–827. 2005. View Article : Google Scholar : PubMed/NCBI | |
Hiratsuka S, Watanabe A, Aburatani H and Maru Y: Tumour-mediated upregulation of chemoattractants and recruitment of myeloid cells predetermines lung metastasis. Nat Cell Biol. 8:1369–1375. 2006. View Article : Google Scholar : PubMed/NCBI | |
Erler JT, Bennewith KL, Cox TR, Lang G, Bird D, Koong A, Le QT and Giaccia AJ: Hypoxia-induced lysyl oxidase is a critical mediator of bone marrow cell recruitment to form the premetastatic niche. Cancer Cell. 15:35–44. 2009. View Article : Google Scholar : PubMed/NCBI | |
Kim S, Takahashi H, Lin WW, Descargues P, Grivennikov S, Kim Y, Luo JL and Karin M: Carcinoma-produced factors activate myeloid cells through TLR2 to stimulate metastasis. Nature. 457:102–106. 2009. View Article : Google Scholar : PubMed/NCBI | |
Sceneay J, Chow MT, Chen A, Halse HM, Wong CS, Andrews DM, Sloan EK, Parker BS, Bowtell DD, Smyth MJ and Möller A: Primary tumor hypoxia recruits CD11b+/Ly6Cmed/Ly6G+ immune suppressor cells and compromises NK cell cytotoxicity in the premetastatic niche. Cancer Res. 72:3906–3911. 2012. View Article : Google Scholar : PubMed/NCBI | |
Kang SY, Halvorsen OJ, Gravdal K, Bhattacharya N, Lee JM, Liu NW, Johnston BT, Johnston AB, Haukaas SA, Aamodt K, et al: Prosaposin inhibits tumor metastasis via paracrine and endocrine stimulation of stromal p53 and Tsp-1. Proc Natl Acad Sci USA. 106:12115–12120. 2009. View Article : Google Scholar : PubMed/NCBI | |
Granot Z, Henke E, Comen EA, King TA, Norton L and Benezra R: Tumor entrained neutrophils inhibit seeding in the premetastatic lung. Cancer Cell. 20:300–314. 2011. View Article : Google Scholar : PubMed/NCBI | |
Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J and Jemal A: Global cancer statistics, 2012. CA Cancer J Clin. 65:87–108. 2015. View Article : Google Scholar : PubMed/NCBI | |
Kurusu Y, Yamashita J and Ogawa M: Detection of circulating tumor cells by reverse transcriptasepolymerase chain reaction in patients with resectable non-small-cell lung cancer. Surgery. 126:820–826. 1999. View Article : Google Scholar : PubMed/NCBI | |
Grabenbauer GG, Lahmer G, Distel L and Niedobitek G: Tumor-infiltrating cytotoxic T cells but not regulatory T cells predict outcome in anal squamous cell carcinoma. Clin Cancer Res. 12:3355–3360. 2006. View Article : Google Scholar : PubMed/NCBI | |
Mellman I, Coukos G and Dranoff G: Cancer immunotherapy comes of age. Nature. 480:480–489. 2011. View Article : Google Scholar : PubMed/NCBI | |
Friedl P and Alexander S: Cancer invasion and the microenvironment: Plasticity and reciprocity. Cell. 147:992–1009. 2011. View Article : Google Scholar : PubMed/NCBI | |
Pietras K and Ostman A: Hallmarks of cancer: Interactions with the tumor stroma. Exp Cell Res. 316:1324–1331. 2010. View Article : Google Scholar : PubMed/NCBI | |
Carlini MJ, De Lorenzo MS and Puricelli L: Cross-talk between tumor cells and the microenvironment at the metastatic niche. Curr Pharm Biotechnol. 12:1900–1908. 2011. View Article : Google Scholar : PubMed/NCBI | |
McAllister SS, Gifford AM, Greiner AL, Kelleher SP, Saelzler MP, Ince TA, Reinhardt F, Harris LN, Hylander BL, Repasky EA and Weinberg RA: Systemic endocrine instigation of indolent tumor growth requires osteopontin. Cell. 133:994–1005. 2008. View Article : Google Scholar : PubMed/NCBI | |
Curiel TJ, Coukos G, Zou L, Alvarez X, Cheng P, Mottram P, Evdemon-Hogan M, Conejo-Garcia JR, Zhang L, Burow M, et al: Specific recruitment of regulatory T cells in ovarian carcinoma fosters immune privilege and predicts reduced survival. Nat Med. 10:942–949. 2014. View Article : Google Scholar | |
Jóźwicki W, Brożyna AA, Siekiera J and Slominski AT: Frequency of CD4+CD25+Foxp3+ cells in peripheral blood in relation to urinary bladder cancer malignancy indicators before and after surgical removal. Oncotraget. 7:11450–11462. 2016. | |
Fogar P, Sperti C, Basso D, Sanzari MC, Greco E, Davoli C, Navaglia F, Zambon CF, Pasquali C, Venza E, et al: Decreased total lymphocyte counts in pancreatic cancer: An index of adverse outcome. Pancreas. 32:22–28. 2006. View Article : Google Scholar : PubMed/NCBI | |
Ahmad SS, Akhtar K, Verma AK, Mallik AZ and Siddiqui SA: Total peripheral lymphocyte count in malignant tumors: An index of prognostication. J Med Sci. 12:24–28. 2012. View Article : Google Scholar | |
Ray-Coquard I, Cropet C, Van Glabbeke M, Sebban C, Le Cesne A, Judson I, Tredan O, Verweij J, Biron P, Labidi I, et al: Lymphopenia as a prognostic factor for overall survival in advanced carcinomas, sarcomas, and lymphomas. Cancer Res. 69:5383–5391. 2009. View Article : Google Scholar : PubMed/NCBI | |
Fischer K, Voelkl S, Heymann J, Przybylski GK, Mondal K, Laumer M, Kunz-Schughart L, Schmidt CA, Andreesen R and Mackensen A: Isolation and characterization of human antigen-specific TCR alpha beta+ CD4 (-)CD8- double-negative regulatory T cells. Blood. 105:2828–2835. 2015. View Article : Google Scholar | |
Thomson CW, Lee BP and Zhang L: Double-negative regulatory T cells: Non-conventional regulators. Immunol Res. 35:163–178. 2006. View Article : Google Scholar : PubMed/NCBI | |
Priatel JJ, Utting O and Teh HS: TCR/self-antigen interactions drive double-negative T cell peripheral expansion and differentiation into suppressor cells. J Immunol. 167:6188–6194. 2001. View Article : Google Scholar : PubMed/NCBI | |
Voelkl S, Gary R and Mackensen A: Characterization of the immunoregulatory function of human TCR-αβ+ CD4-CD8- double-negative T cells. Eur J Immunol. 41:739–748. 2011. View Article : Google Scholar : PubMed/NCBI | |
Ligocki AJ and Niederkorn JY: Advances on Non-CD4+Foxp3+T regulatory cells: CD8+, Type1, and double negative t regulatory cells in organ transplantation. Transplantation. 99:1553–1559. 2015. View Article : Google Scholar : PubMed/NCBI | |
Sundaravaradan V, Mir KD and Sodora DL: Double-negative T cells during HIV/SIV infections: Potential pinch hitters in the T cell lineup. Curr Opin HIV AIDS. 7:164–171. 2012. View Article : Google Scholar : PubMed/NCBI | |
Young KJ, Kay LS, Phillips MJ and Zhang L: Antitumor activity mediated by double-negative T cells. Cancer Res. 63:8014–8021. 2003.PubMed/NCBI | |
Merims S, Li X, Joe B, Dokouhaki P, Han M, Childs RW, Wang ZY, Gupta V, Minden MD and Zhang L: Anti-leukemia effect of ex vivo expanded DNT cells from AML patients: A potential novel autologous T-cell adoptive immunotherapy. Leukemia. 25:1415–1422. 2011. View Article : Google Scholar : PubMed/NCBI | |
Voelkl S, Moore TV, Rehli M, Nishimura MI, Mackensen A and Fischer K: Characterization of MHC class-I restricted TCR+ CD4-CD8-double negative T cells recognizing the gp100 antigen from a melanoma patient after gp100 vaccination. Cancer Immunol Immunother. 58:709–718. 2009. View Article : Google Scholar : PubMed/NCBI | |
Qin Z, Richter G, Schüler T, Ibe S, Cao X and Blankenstein T: B cells inhibit induction of T cell-dependent tumor immunity. Nat Med. 4:627–630. 1998. View Article : Google Scholar : PubMed/NCBI | |
Shah S, Divekar AA, Hilchey SP, Cho HM, Newman CL, Shin SU, Nechustan H, Challita-Eid PM, Segal BM, Yi KH and Rosenblatt JD: Increased rejection of primary tumors in mice lacking B cells: Inhibition of antitumor CTL and TH1 cytokine responses by B cells. Int J Cancer. 117:574–586. 2005. View Article : Google Scholar : PubMed/NCBI | |
Lee-Chang C, Bodogai M, Martin-Montalvo A, Wejksza K, Sanghvi M, Moaddel R, de Cabo R and Biragyn A: Inhibition of breast cancer metastasis by resveratrol-mediated inactivation of tumor-evoked regulatory B cells. J Immunol. 191:4141–4151. 2013. View Article : Google Scholar : PubMed/NCBI | |
Zhang Y, Eliav Y, Shin SU, Schreiber TH, Podack ER, Tadmor T and Rosenblatt JD: B lymphocyte inhibition of anti-tumor response depends on expansion of Treg but is independent of B-cell IL-10 secretion. Cancer Immunol Immunother. 62:87–89. 2013. View Article : Google Scholar : PubMed/NCBI | |
Cunningham RC: Autoimmunity in primary immune deficiency: Taking lessons from our patients. Clin Exp Immunol. 164 Suppl 2:S6–S11. 2011. View Article : Google Scholar | |
Harris DP, Haynes L, Sayles PC, Duso DK, Eaton SM, Lepak NM, Johnson LL, Swain SL and Lund FE: Reciprocal regulation of polarized cytokine production by effector B and T cells. Nat Immunol. 1:4752000. View Article : Google Scholar : PubMed/NCBI | |
Olkhanud PB, Damdinsuren B, Bodogai M, Gress RE, Sen R, Wejksza K, Wersto RP and Biragyn A: Tumor evoked regulatory B cells promote breast cancer metastasis by converting resting CD4+ T cells to T-regulatory cells. Cancer Res. 71:3505–3515. 2011. View Article : Google Scholar : PubMed/NCBI | |
Milne K, Köbel M, Kalloger SE, Barnes RO, Gao D, Gilks CB, Watson PH and Nelson BH: Systematic analysis of immune infiltrates in high-grade serous ovarian cancer reveals CD20, FoxP3 and TIA-1 as positive prognostic factors. PLoS One. 4:e64122009. View Article : Google Scholar : PubMed/NCBI | |
Kobayashi T, Hamaguchi Y, Hasegawa M, Fujimoto M, Takehara K and Matsushita T: B cells promote tumor immunity against B16F10 melanoma. Am J Pathol. 184:3120–3129. 2014. View Article : Google Scholar : PubMed/NCBI | |
Fisher DT, Appenheimer MM and Evans SS: The two faces of IL-6 in the tumor microenvironment. Semin Immunlo. 26:38–47. 2014. View Article : Google Scholar | |
Lippitz BE: Cytokine patterns in patients with cancer: A systematic review. Lancet Oncol. 14:e218–e228. 2013. View Article : Google Scholar : PubMed/NCBI |