Literature DB >> 28983402

Regulatory T-cell heterogeneity and the cancer immune response.

Kirsten A Ward-Hartstonge1, Roslyn A Kemp1.   

Abstract

The frequency of circulating or tumour-infiltrating regulatory T cells (Tregs) has been associated with poor patient survival in many cancers including breast, melanoma and lung. It has been hypothesised that Tregs impact the anti-tumour function of effector T cells, resulting in worse outcomes for patients. However, high infiltrates of Tregs have been associated with a positive outcome of patients in a minority of cancers including colorectal, bladder and oesophageal. In addition, many studies have shown no impact of Tregs in patient outcome. Traditionally, research has identified Tregs as forkhead box P3 (FOXP3+) T cells in order to make such associations. Recently, it has become evident that regulatory populations are very heterogeneous, and this heterogeneity is essential for Treg function. Treg heterogeneity likely affects predictions of patient outcome, and different Treg populations may have different influences on tumours. The study of Tregs in cancer must include a better definition of the cells analysed. This review will focus primarily on colorectal cancer in humans, due to mixed data on the impact of Tregs on patient outcome in this disease.

Entities:  

Year:  2017        PMID: 28983402      PMCID: PMC5628269          DOI: 10.1038/cti.2017.43

Source DB:  PubMed          Journal:  Clin Transl Immunology        ISSN: 2050-0068


Introduction

Regulatory T cells (Tregs) are essential for the suppression of self-reactive T cells in the periphery and the inhibition of immune responses at the resolution of infection.[1] Historically, Tregs were divided into two groups, those formed in the thymus (natural), and those differentiated in the periphery (induced). The transcription factor, Helios, has been used as a marker to distinguish natural and induced Tregs, but expression of Helios has been identified on both populations in humans.[2] Tregs are characterised by high expression of the interleukin two receptor (IL-2R) alpha, CD25 and expression of the transcription factor, FOXP3,[1] both of which are essential for their regulatory functions. The expression of CD25 on FOXP3+ Tregs is believed to facilitate sequestration of IL-2 from the environment, thereby reducing effector T-cell access to IL-2.[3] FOXP3 expression is critical for the suppressive function of Tregs: mutations in the FOXP3 gene cause fatal autoimmune disease and immunopathology in humans.[4] CD25 and FOXP3 alone cannot be used to identify Tregs, as conventional T-cell populations can upregulate both of these markers after activation.[5] However, demethylation of the FOXP3 locus occurs only in Tregs with stable expression of FOXP3 and not conventional T cells that upregulate FOXP3 transiently after activation.[6] Tregs in humans, at least in the blood, also express low levels of CD127 and use of this molecule alongside FOXP3 and CD25 has been proposed as a more accurate means of identifying Tregs.[7, 8] In addition to the inhibition of effector T-cell activation and proliferation via the sequestration of IL-2, Tregs can suppress effector T cells using other mechanisms. Tregs secrete suppressive cytokines, such as IL-10, IL-35 and transforming growth factor (TGF)-β, express inhibitory markers such as cytotoxic T-lymphocyte-associated protein (CTLA)-4 and inducible T-cell costimulator (ICOS) that inhibit the ability of antigen presenting cells to activate effector T cells, and cause apoptosis of effector cells via the production of granzyme (reviewed in Vignali et al.[9]). In cancer patients, tumour-infiltrating Tregs often express higher levels of inhibitory markers and are much more suppressive than Tregs from peripheral blood mononuclear cells (PBMCs) or from non-tumour tissue. This is most likely due to factors within the tumour microenvironment.[10] Tregs are often identified using FOXP3 alone in studies of people with cancer, sometimes without including a T-cell marker. This approach is often dictated by the sample type and availability, however, it is clear that this is not sufficient to identify heterogeneous T-cell populations with regulatory function. For example, we recently showed no association with Tregs and outcome in a cohort of colorectal cancer (CRC) patients when identified by T-cell expression of FOXP3 alone. However, when the transcription factor, B lymphocyte-induced maturation protein-1 (Blimp-1), was used alongside FOXP3 to identify a subpopulation of Tregs, there was a positive association with patient outcome.[11] In a cohort of patients with B-cell lymphoma, a high infiltrate of Tregs identified by expression of FOXP3 alone was associated with good patient outcome, but CTLA-4+FOXP3+ double-positive Tregs were associated with poor patient outcome.[12] These results emphasise the importance of using more than one marker to identify Tregs in human cancer tissue.

Effector Tregs

FOXP3+ Tregs have been proposed to exist in multiple differentiation states, similar to effector T-cell populations: naive, effector and memory.[13] Two functionally distinct phenotypes of suppressive FOXP3+ Tregs have been identified in human blood: CD45RA+FOXP3lo ‘naive’ Tregs and CD45RA−FOXP3hi ‘effector’ Treg populations.[14] It is likely that these naive-like Tregs were thymic derived, resting Tregs that once activated, converted to effector-like activated Tregs. In mice, the term ‘effector Tregs’ (eTregs) has been given to a similar population of FoxP3+ Tregs that express Blimp-1 (reviewed in Cretney et al.[15]). These eTregs have high expression of many Treg activation markers including CTLA-4, ICOS, CD45RO, and are highly suppressive. Blimp-1 and interferon regulatory factor (IRF)-4 were essential for the development of FoxP3+ eTregs, and Blimp-1 was essential for IL-10 production in T cells.[16] FoxP3+ eTregs were present in the gut of mice[16] and have been identified in human CRC.[11] We have recently demonstrated that Blimp-1 can be used to identify a similar population of Tregs in humans with an effector phenotype (unpublished). Memory Treg populations are not well understood. In mice, FoxP3+ Tregs specific for self-antigen,[17] viral antigen[18, 19] or foetal antigen[20] showed similar characteristics to effector memory T cells: an expansion during primary response, a small remaining population, and then expansion during a secondary response. In humans it is more challenging to study an antigen-specific Treg response over time to measure memory, but using phenotypic markers based on effector memory T cells, a population of memory-like FOXP3+CD25hi Tregs (CD45RO+ICOS+CD27+CTLA-4+) has been identified in human skin.[21] The tumour microenvironment contains Tregs with an effector phenotype in many human cancers, and this is likely in response to inflammatory factors produced by other cells interacting with Tregs within this environment (reviewed in Chaudhary and Elkord[10] and Norton et al.[22]). As outlined above, higher frequencies of Blimp-1+ FOXP3+ eTregs were associated with longer disease-free survival.[11] However, other studies demonstrate conflicting evidence. Saito et al.[23] indicated that FOXP3hi eTregs, but not FOXP3lo Tregs, were associated with poor patient outcomes in CRC. Lin et al.[24] demonstrated that Tregs with an effector phenotype (FOXP3hiCD45RA−), but not a resting phenotype (FOXP3loCD45RA+), were associated with late-stage CRC. Nakayama et al.[12] classified ‘effector Tregs’ as FOXP3+CTLA-4+ in a B-cell lymphoma cohort and high infiltrates were associated with poor patient outcomes. These studies indicate that using different markers to define eTreg populations may result in different associations with patient outcomes, and that eTreg infiltrates may have different roles across human cancers.

Helper-like Treg subsets

Treg phenotypes can differ as a result of the environment in which they differentiate, similar to effector T cells. FOXP3+ Tregs upregulate transcription factors that can mirror effector T-cell populations differentiated under the same conditions and influence immune responses (reviewed in Cretney et al.[15]). The transcription factor, signal transducer and activator of transcription (STAT)-3 is essential for the suppression of (TH17) inflammatory IL-17 responses in mice.[25] The expression of T-bet in FoxP3+ Tregs is essential for the suppression of (TH1) IFN-γ effector responses in mice.[26, 27] Finally, the expression of IRF4 is essential for the suppression of TH2 responses in mice.[28] FOXP3+ Tregs expressing canonical T effector transcription factors, especially RORγt, have been identified in healthy human PBMCs.[29] In mice, RORγt+FoxP3+ Tregs and RORγt+ TH17 cells coexisted in a healthy state in vivo,[30] and RORγt+FoxP3+ Tregs could suppress intestinal inflammation.[31] RORγt+FOXP3+ Tregs have been identified in CRC patients and were enriched in patients with late-stage cancer.[32] RORγt+FOXP3+ Tregs were also upregulated in the blood from people with pancreatic cancer, compared to age-matched healthy controls.[33] RORγt+FOXP3+ Tregs in CRC and pancreatic patients produced both IL-10 and IL-17.[32, 33] These data indicate that perturbations in these populations in cancer may influence disease and potentially contribute to poor outcomes for patients.

Treg plasticity

T cells are plastic and the presence of multiple factors can induce changes in T-cell phenotype. The stability of the Treg lineage is complicated and it is still not clear if all Tregs are able to display plasticity, or if this ability is restricted to a selected ‘unstable’ population.[34] However, there is evidence of the conversion of FOXP3+ Tregs into T helper subsets and vice versa, under suitable conditions (reviewed in Hori[35]). TH17 cells and Tregs differentiate using closely related pathways and both require TGF-β for differentiation. The flexibility between TH17 cells and Tregs has been implicated in many diseases including autoimmune diseases and cancers. For example, gut inflammation can cause FoxP3+ Tregs to differentiate into pathogenic inflammatory T cells in mice in vivo.[36] In response to an inflammatory bacterial insult in the gut, Tregs lost FOXP3 expression and gained the ability to produce IL-17. Populations of Tregs that secreted effector cytokines such as IL-17 were able to suppress effector T-cell proliferation in vitro.[37] It has been proposed that these inflammatory cytokine-producing Tregs may exist in a transitional stage and have the ability to differentiate into FOXP3+ Treg or TH17 cells depending on the local conditions such as the tumour microenvironment.[38] The tumour microenvironment is complex and changes during disease progression. It may be hypoxic, contain angiogenic factors and/or suppressive immune cells, all of which contribute to tumour growth and differentiation.[22] Tregs are present in high numbers in tumours and higher infiltrates of Tregs in tumours, compared to surrounding non-tumour tissue, and have been documented numerous times in multiple cancers.[39, 40] The recruitment and retention of Tregs into tumours involves the expression of chemokine receptors on Treg populations. In particular, CCR5hiFOXP3+ Tregs were more suppressive than CCR5loFOXP3+ Tregs in human CRC.[39] Tumours can secrete factors such as vascular endothelial growth factor (VEGF) that recruits Tregs to tumours, aids in the conversion of Tregs to TH17 cells, induces angiogenesis and enhances the growth of tumour cells (reviewed in Norton et al.[22]). Blocking VEGF pathways inhibited the recruitment of FoxP3+ Tregs in a mouse model of CRC, and blocked the proliferation of human Tregs in vitro.[41] Tumour-infiltrating Tregs can be more suppressive than those from non-tumour tissue from the same patient, have an eTreg phenotype (FOXP3hiCD45RA−), and upregulate markers associated with enhanced suppression (CTLA-4, ICOS) and activation (CD25, CD69; reviewed in Chaudhary and Elkord[10]). These results indicate that factors within the tumour microenvironment lead to recruitment of Tregs to tumours and enhance the suppressive activity of Tregs. T-cell subsets can differentiate within a tumour environment; TH17 cells differentiated into suppressive IL-17+ and IL-17FoxP3+ Tregs in a CRC mouse tumour model.[42] In this model, tumour-associated TGF-β and prostaglandin E2 promoted the conversion of ex-TH17 to Foxp3+IL-17+/− cells. IL-17-producing FOXP3+ Tregs have been identified in human CRC.[40, 43] IL-17+FOXP3+ Tregs were able to suppress the proliferation of CD8+ tumour-infiltrating lymphocytes stimulated with CRC antigens in humans.[44] Supernatant from ex vivo-cultured IL-17+ Tregs from human colitis tissue increased IL-6 and IL-1β production in T cells.[43] Tregs that produced IL-17+ in human CRC tumours lost their ability to suppress mast cell degranulation,[37] and potentially aided growth of cancer initiating cells.[45] Hypoxia-induced FOXP3+ Tregs also produced IL-17 in vitro, this may also occur in the tumour microenvironment.[45] These results indicate that IL-17+ Tregs may be differentiated from TH17 cells in CRC due to factors in the tumour microenvironment, resulting in the promotion of inflammation and suppression of tumour-specific CD8+ T cells.

Non-classical regulatory T-cell populations in tumours

LAP+ Tregs

Tregs that secrete IL-10 and have low or negative expression of FOXP3 have been identified in multiple cancers (reviewed in Chaudhary and Elkord[10]). Of note, populations of FOXP3+ and FOXP3− T cells that express latency-associated protein (LAP) have been identified in CRC.[46, 47, 48] The tumour-infiltrating LAP+FOXP3+ cells had 50-fold more suppressive capacity than LAPFOXP3+ Tregs isolated from the peripheral blood.[48] Infiltrates of LAP+ Tregs were associated with higher tumour, lymph node, metastasis (TNM) stage in this study, indicating that they could be associated with poor patient outcome.

CD8+ FOXP3+ Tregs

There is evidence that CD8+ T-cell populations can also express FOXP3 and have regulatory function. CD8+FOXP3+ Tregs have been identified in CRC tissue[49] and were able to suppress CD4+ T-cell proliferation and IFN-γ production ex vivo.[50] CD8+ FOXP3+ Tregs have also been identified in ovarian cancer patients and higher infiltrates were associated with higher stage of disease.[51] Upon co-culture with ovarian tumour cell lines, CD8+ effector T cells converted into CD8+FOXP3+ Tregs.[51] These in vitro-generated CD8+ FOXP3+ Tregs suppressed CD4+ T-cell proliferation. These data indicate that the tumour microenvironment may induce suppressive CD8+ FOXP3+ Tregs.

Treg function in the tumour microenvironment

Suppression of effector T cells

Antigen-specific Tregs have been isolated from CRC, pancreatic cancer, bladder cancer and melanoma (reviewed in Chaudhary and Elkord[10]). In advanced melanoma patients, effector T cells and CD25hi Tregs had T-cell receptors specific for the same epitopes.[52] Ex vivo analysis of FOXP3+ Tregs from tumour samples of 15 pancreatic cancer patients revealed that Tregs made up 17% of the T-cell clones that were reactive to tumour peptide enolase 1 (ENO1); these Tregs suppressed the proliferation of ENO1-specific T cells.[53] In a cohort of 62 CRC patients, two-thirds of the patients had effector T cells that were reactive to the CRC antigens, 5T4 and carcinoembryonic antigen (CEA). Effector T-cell responses were suppressed by FOXP3+ Tregs from the tumours.[54] In all patients with disease recurrence, FOXP3+ Tregs from the tumours were able to effectively suppress tumour-specific tumour-infiltrating T cells.[54] These results suggest that tumour-specific Tregs and effector T cells co-exist within tumours, and suppression of effector T cells may be associated with poor patient outcome.

Suppression of TH17 cells

High numbers of infiltrating Tregs have been associated with good patient outcomes in multiple cancers, including CRC. It has been hypothesised that this is at least partly due to FOXP3+ Treg-mediated suppression of TH17 responses[55] that are known to cause unfavourable outcomes in CRC patients.[56] A higher ratio of Tregs to TH17 cells was associated with lower metastasis scores, and therefore favourable patient outcomes in a cohort of CRC patients.[57] There is also evidence that, in humans, ex vivo naive and memory FOXP3+ Treg populations can inhibit the ability of TH17 cells to produce the inflammatory cytokines; IL-17 and IL-22.[58] In mice that lack functional IL-10, severe intestinal inflammation and spontaneous CRC can develop; indicating that IL-10 is involved in the control of inflammation-driven CRC.[59] More recently, others have also demonstrated the importance of IL-10-mediated suppression of inflammatory responses in the colon and in MC38 colon mouse tumour models.[60, 61] Blimp-1 is essential for IL-10 production in Tregs; high frequencies of Blimp-1+FOXP3+ eTregs were recently associated with improved patient outcomes in human CRC.[11] It is possible Blimp-1+ eTregs may suppress inflammatory responses in CRC via the production of IL-10.

Effect of tumour microenvironment on Treg function

There is extensive evidence that effector T cells upregulate markers of exhaustion and lose their ability to function in tumours. It is not yet clear whether T-cell exhaustion also occurs in Tregs, especially in the tumour microenvironment. In human glioblastoma tissue, FOXP3+ Tregs expressing programmed cell death protein (PD)-1 were enriched in tumours compared to peripheral blood.[62] Mass cytometry was used to determine the phenotype of PD-1hiFOXP3+ Tregs in human glioblastoma and PD-1hi expression correlated with higher expression of ICOS and lymphocyte activation gene (LAG)-3. PD-1-expressing FOXP3+ Tregs had genetic signatures that correlated with exhaustion and Treg activation.[62] Tregs in tumours of CRC patients also upregulated immunosuppressive markers present on populations of exhausted effector T cells, but these FOXP3+ Tregs were proposed to be activated and highly suppressive due to high expression of CD39 and LAP.[63] Other immune cells from CRC tumours are able to modulate the function of Tregs. FOXP3+ Tregs from CRC tissue, compared to the same cells from non-tumour tissue, had upregulated expression of genes associated with the promotion of inflammation.[64] Blanter et al.[37] showed that Tregs from human CRC tumours lost the ability to produce IL-10 and instead produced IL-17. These Tregs, although able to suppress effector T-cell proliferation, lost the ability to inhibit the degranulation of mast cells. In CRC, mast cells contribute to tumour growth and angiogenesis, and higher numbers are associated with advanced stage CRC.[65] In vitro stimulation of naive Tregs with mast cells was sufficient for Tregs to secrete IL-17 and become inflammatory.[37] Therefore, mast cells in CRC may convert Tregs to an inflammatory IL-17 phenotype that promotes inflammation in the tumour microenvironment and aids in tumour progression.

The tumour site contributes to Treg heterogeneity

The human gut contains more than 10[14] bacterial cells. The intestinal epithelium prevents bacteria from entering the mucosa, but this physical barrier can become permeable allowing the entry of bacteria.[66] Once in the mucosa, bacteria encounter immune cells and are able to induce inflammatory responses including TH17 cells.[67] It has been proposed that the presence of tumours can make the colon more permeable, allowing the infiltration of bacteria-multiple bacterial species have been identified in tumours of CRC patients.[68] Bacteria could promote inflammatory responses in CRC.[69] In mouse models, CD25hi Tregs were able to prevent cancer growth induced by bacteria.[70] Therefore, Tregs in CRC may suppress bacteria-driven inflammatory responses such as those mediated by TH17 cells.

Potential for clinical intervention

The role of Tregs in cancer immunotherapy

Immune checkpoint inhibitors (ICI) are currently being investigated as a cancer treatment and have shown promise in specific cancers such as melanoma. Tregs upregulate multiple ICI receptors (for example, CTLA-4, PD-1) in cancer[10] and the effect of ICI treatment on Treg infiltrates in tumours is unclear. Interestingly, in multiple melanoma clinical trials with ipilimumab (anti-CTLA-4) treatment, Treg numbers in peripheral blood increased and were associated with both poor and favourable patient outcomes.[10] In a small cohort of 10 melanoma patients, the number of FOXP3+ Tregs were measured in response to ipilimumab therapy and infiltrates tended to associate with worse clinical outcomes.[71] The role of Tregs in ICI-treated cancer patients is not clear, but it is possible Treg infiltrates may influence patient outcomes in those treated.

Utilisation of beneficial factors from Tregs to treat cancer

It has been proposed that IL-10 may not be strictly suppressive in the cancer microenvironment, but may also contribute to a favourable anti-tumour T-cell response.[72] In mouse tumour models, treatment with PEGylated IL-10 increased the activation of CD8+ T cells and increased the production of IFN-γ.[73] Phase I clinical trials are underway, using PEGylated IL-10 to treat advanced staged human solid tumours, including CRC (https://clinicaltrials.gov/ct2/show/NCT02009449). Early phase I clinical trial data in 16 CRC patients indicated that IL-10 therapy increased the number of IFN-γ+ activated T cells while simultaneously decreasing unfavourable inflammatory cytokine production, including IL-17.[74] Therefore, treating cancer patients with IL-10 may be beneficial to patient outcome.

Summary and conclusions

Tregs exist in multiple phenotypes-the heterogeneity and plasticity are common in the tumour microenvironment and may be a contributing factor to disease. This review has summarised Treg sub-populations of interest in human cancer and attempted to link these populations to clinical outcomes. It is clear that the cells and molecules within the tumour microenvironment can alter Treg phenotype and ultimately impact patient survival in cancer patients. A more detailed identification of Treg phenotype is required to fully appreciate the role of Tregs in cancer. We have emphasised that FOXP3 alone is not sufficient to describe Tregs. The addition of more detailed markers, used in conjunction with one another, will allow for a deeper understanding of the role of Tregs in cancer and whether they can be used to improve therapies.
  72 in total

1.  Colorectal cancer-derived Foxp3(+) IL-17(+) T cells suppress tumour-specific CD8+ T cells.

Authors:  C Ma; X Dong
Journal:  Scand J Immunol       Date:  2011-07       Impact factor: 3.487

2.  Intratumoral regulatory T cells are associated with suppression of colorectal carcinoma metastasis after resection through overcoming IL-17 producing T cells.

Authors:  Quanrongzi Wang; Min Feng; Tongfu Yu; Xisheng Liu; Peijian Zhang
Journal:  Cell Immunol       Date:  2014-01-10       Impact factor: 4.868

Review 3.  Regulatory T cell memory.

Authors:  Michael D Rosenblum; Sing Sing Way; Abul K Abbas
Journal:  Nat Rev Immunol       Date:  2015-12-21       Impact factor: 53.106

4.  Expression of RORγt marks a pathogenic regulatory T cell subset in human colon cancer.

Authors:  Nichole R Blatner; Mary F Mulcahy; Kristen L Dennis; Denise Scholtens; David J Bentrem; Joseph D Phillips; Soo Ham; Barry P Sandall; Mohammad W Khan; David M Mahvi; Amy L Halverson; Steven J Stryker; Anne-Marie Boller; Ashima Singal; Rebekka K Sneed; Bara Sarraj; Mohammed Javeed Ansari; Martin Oft; Yoichiro Iwakura; Liang Zhou; Andreas Bonertz; Philipp Beckhove; Fotini Gounari; Khashayarsha Khazaie
Journal:  Sci Transl Med       Date:  2012-12-12       Impact factor: 17.956

5.  Analysis of CD8+ Treg cells in patients with ovarian cancer: a possible mechanism for immune impairment.

Authors:  Shuping Zhang; Xing Ke; Suyun Zeng; Meng Wu; Jianfang Lou; Lei Wu; Peijun Huang; Lei Huang; Fang Wang; Shiyang Pan
Journal:  Cell Mol Immunol       Date:  2015-07-13       Impact factor: 11.530

6.  High density of tryptase-positive mast cells in human colorectal cancer: a poor prognostic factor related to protease-activated receptor 2 expression.

Authors:  Andrea Malfettone; Nicola Silvestris; Concetta Saponaro; Girolamo Ranieri; Antonio Russo; Stefano Caruso; Ondina Popescu; Giovanni Simone; Angelo Paradiso; Anita Mangia
Journal:  J Cell Mol Med       Date:  2013-08       Impact factor: 5.310

7.  Intratumoral FoxP3+Helios+ Regulatory T Cells Upregulating Immunosuppressive Molecules Are Expanded in Human Colorectal Cancer.

Authors:  Azharuddin Sajid Syed Khaja; Salman M Toor; Haytham El Salhat; Bassam R Ali; Eyad Elkord
Journal:  Front Immunol       Date:  2017-05-26       Impact factor: 7.561

8.  Suppressive IL-17A+Foxp3+ and ex-Th17 IL-17AnegFoxp3+ Treg cells are a source of tumour-associated Treg cells.

Authors:  Stephanie Downs-Canner; Sara Berkey; Greg M Delgoffe; Robert P Edwards; Tyler Curiel; Kunle Odunsi; David L Bartlett; Nataša Obermajer
Journal:  Nat Commun       Date:  2017-03-14       Impact factor: 14.919

9.  Immune dysregulation, polyendocrinopathy, enteropathy, x-linked syndrome: a paradigm of immunodeficiency with autoimmunity.

Authors:  Federica Barzaghi; Laura Passerini; Rosa Bacchetta
Journal:  Front Immunol       Date:  2012-07-31       Impact factor: 7.561

10.  Immune monitoring of the circulation and the tumor microenvironment in patients with regionally advanced melanoma receiving neoadjuvant ipilimumab.

Authors:  Ahmad A Tarhini; Howard Edington; Lisa H Butterfield; Yan Lin; Yongli Shuai; Hussein Tawbi; Cindy Sander; Yan Yin; Matthew Holtzman; Jonas Johnson; Uma N M Rao; John M Kirkwood
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

View more
  43 in total

Review 1.  Regulatory T cells in the treatment of disease.

Authors:  Amir Sharabi; Maria G Tsokos; Ying Ding; Thomas R Malek; David Klatzmann; George C Tsokos
Journal:  Nat Rev Drug Discov       Date:  2018-10-12       Impact factor: 84.694

2.  Novel Interactions between the Human T-Cell Leukemia Virus Type 1 Antisense Protein HBZ and the SWI/SNF Chromatin Remodeling Family: Implications for Viral Life Cycle.

Authors:  Ahlam Alasiri; Jorge Abboud Guerr; William W Hall; Noreen Sheehy
Journal:  J Virol       Date:  2019-07-30       Impact factor: 5.103

3.  Differential expression of Helios, Neuropilin-1 and FoxP3 in head and neck squamous cell carcinoma (HNSCC) patients.

Authors:  A A Mohamed Adil; Anil Kumar Bommanabonia; Anandraj Vaithy; Sateesh Kumar; Mohammad Waseem; Shazia Jamal; Neesar Ahmed
Journal:  3 Biotech       Date:  2019-04-16       Impact factor: 2.406

Review 4.  Immunometabolism in biofilm infection: lessons from cancer.

Authors:  Rasoul Mirzaei; Niloofar Sabokroo; Yaghoub Ahmadyousefi; Hamid Motamedi; Sajad Karampoor
Journal:  Mol Med       Date:  2022-01-29       Impact factor: 6.354

Review 5.  CAR T Cell Therapy in Hematological Malignancies: Implications of the Tumor Microenvironment and Biomarkers on Efficacy and Toxicity.

Authors:  Jing Yuan Tan; Muhammed Haiqal Low; Yunxin Chen; Francesca Lorraine Wei Inng Lim
Journal:  Int J Mol Sci       Date:  2022-06-22       Impact factor: 6.208

6.  Aberrant up-regulation of iNOS/NO system is correlated with an increased abundance of Foxp3+ cells and reduced effector/memory cell markers expression during colorectal cancer: immunomodulatory effects of cetuximab combined with chemotherapy.

Authors:  Sarra Benkhelifa; Hayet Rafa; Said Belhadef; Hayat Ait-Kaci; Oussama Medjeber; Mourad Belkhelfa; Sabah Hetit; Sonia Ait-Younes; Yvan De Launoit; Olivier Moralès; Hassen Mahfouf; Nadira Delhem; Chafia Touil-Boukoffa
Journal:  Inflammopharmacology       Date:  2019-01-24       Impact factor: 4.473

7.  Gaussian graphical model-based heterogeneity analysis via penalized fusion.

Authors:  Mingyang Ren; Sanguo Zhang; Qingzhao Zhang; Shuangge Ma
Journal:  Biometrics       Date:  2021-02-05       Impact factor: 1.701

Review 8.  Recent Successes and Future Directions in Immunotherapy of Cutaneous Melanoma.

Authors:  Hassan Sadozai; Thomas Gruber; Robert Emil Hunger; Mirjam Schenk
Journal:  Front Immunol       Date:  2017-12-08       Impact factor: 7.561

9.  Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition).

Authors:  Andrea Cossarizza; Hyun-Dong Chang; Andreas Radbruch; Andreas Acs; Dieter Adam; Sabine Adam-Klages; William W Agace; Nima Aghaeepour; Mübeccel Akdis; Matthieu Allez; Larissa Nogueira Almeida; Giorgia Alvisi; Graham Anderson; Immanuel Andrä; Francesco Annunziato; Achille Anselmo; Petra Bacher; Cosima T Baldari; Sudipto Bari; Vincenzo Barnaba; Joana Barros-Martins; Luca Battistini; Wolfgang Bauer; Sabine Baumgart; Nicole Baumgarth; Dirk Baumjohann; Bianka Baying; Mary Bebawy; Burkhard Becher; Wolfgang Beisker; Vladimir Benes; Rudi Beyaert; Alfonso Blanco; Dominic A Boardman; Christian Bogdan; Jessica G Borger; Giovanna Borsellino; Philip E Boulais; Jolene A Bradford; Dirk Brenner; Ryan R Brinkman; Anna E S Brooks; Dirk H Busch; Martin Büscher; Timothy P Bushnell; Federica Calzetti; Garth Cameron; Ilenia Cammarata; Xuetao Cao; Susanna L Cardell; Stefano Casola; Marco A Cassatella; Andrea Cavani; Antonio Celada; Lucienne Chatenoud; Pratip K Chattopadhyay; Sue Chow; Eleni Christakou; Luka Čičin-Šain; Mario Clerici; Federico S Colombo; Laura Cook; Anne Cooke; Andrea M Cooper; Alexandra J Corbett; Antonio Cosma; Lorenzo Cosmi; Pierre G Coulie; Ana Cumano; Ljiljana Cvetkovic; Van Duc Dang; Chantip Dang-Heine; Martin S Davey; Derek Davies; Sara De Biasi; Genny Del Zotto; Gelo Victoriano Dela Cruz; Michael Delacher; Silvia Della Bella; Paolo Dellabona; Günnur Deniz; Mark Dessing; James P Di Santo; Andreas Diefenbach; Francesco Dieli; Andreas Dolf; Thomas Dörner; Regine J Dress; Diana Dudziak; Michael Dustin; Charles-Antoine Dutertre; Friederike Ebner; Sidonia B G Eckle; Matthias Edinger; Pascale Eede; Götz R A Ehrhardt; Marcus Eich; Pablo Engel; Britta Engelhardt; Anna Erdei; Charlotte Esser; Bart Everts; Maximilien Evrard; Christine S Falk; Todd A Fehniger; Mar Felipo-Benavent; Helen Ferry; Markus Feuerer; Andrew Filby; Kata Filkor; Simon Fillatreau; Marie Follo; Irmgard Förster; John Foster; Gemma A Foulds; Britta Frehse; Paul S Frenette; Stefan Frischbutter; Wolfgang Fritzsche; David W Galbraith; Anastasia Gangaev; Natalio Garbi; Brice Gaudilliere; Ricardo T Gazzinelli; Jens Geginat; Wilhelm Gerner; Nicholas A Gherardin; Kamran Ghoreschi; Lara Gibellini; Florent Ginhoux; Keisuke Goda; Dale I Godfrey; Christoph Goettlinger; Jose M González-Navajas; Carl S Goodyear; Andrea Gori; Jane L Grogan; Daryl Grummitt; Andreas Grützkau; Claudia Haftmann; Jonas Hahn; Hamida Hammad; Günter Hämmerling; Leo Hansmann; Goran Hansson; Christopher M Harpur; Susanne Hartmann; Andrea Hauser; Anja E Hauser; David L Haviland; David Hedley; Daniela C Hernández; Guadalupe Herrera; Martin Herrmann; Christoph Hess; Thomas Höfer; Petra Hoffmann; Kristin Hogquist; Tristan Holland; Thomas Höllt; Rikard Holmdahl; Pleun Hombrink; Jessica P Houston; Bimba F Hoyer; Bo Huang; Fang-Ping Huang; Johanna E Huber; Jochen Huehn; Michael Hundemer; Christopher A Hunter; William Y K Hwang; Anna Iannone; Florian Ingelfinger; Sabine M Ivison; Hans-Martin Jäck; Peter K Jani; Beatriz Jávega; Stipan Jonjic; Toralf Kaiser; Tomas Kalina; Thomas Kamradt; Stefan H E Kaufmann; Baerbel Keller; Steven L C Ketelaars; Ahad Khalilnezhad; Srijit Khan; Jan Kisielow; Paul Klenerman; Jasmin Knopf; Hui-Fern Koay; Katja Kobow; Jay K Kolls; Wan Ting Kong; Manfred Kopf; Thomas Korn; Katharina Kriegsmann; Hendy Kristyanto; Thomas Kroneis; Andreas Krueger; Jenny Kühne; Christian Kukat; Désirée Kunkel; Heike Kunze-Schumacher; Tomohiro Kurosaki; Christian Kurts; Pia Kvistborg; Immanuel Kwok; Jonathan Landry; Olivier Lantz; Paola Lanuti; Francesca LaRosa; Agnès Lehuen; Salomé LeibundGut-Landmann; Michael D Leipold; Leslie Y T Leung; Megan K Levings; Andreia C Lino; Francesco Liotta; Virginia Litwin; Yanling Liu; Hans-Gustaf Ljunggren; Michael Lohoff; Giovanna Lombardi; Lilly Lopez; Miguel López-Botet; Amy E Lovett-Racke; Erik Lubberts; Herve Luche; Burkhard Ludewig; Enrico Lugli; Sebastian Lunemann; Holden T Maecker; Laura Maggi; Orla Maguire; Florian Mair; Kerstin H Mair; Alberto Mantovani; Rudolf A Manz; Aaron J Marshall; Alicia Martínez-Romero; Glòria Martrus; Ivana Marventano; Wlodzimierz Maslinski; Giuseppe Matarese; Anna Vittoria Mattioli; Christian Maueröder; Alessio Mazzoni; James McCluskey; Mairi McGrath; Helen M McGuire; Iain B McInnes; Henrik E Mei; Fritz Melchers; Susanne Melzer; Dirk Mielenz; Stephen D Miller; Kingston H G Mills; Hans Minderman; Jenny Mjösberg; Jonni Moore; Barry Moran; Lorenzo Moretta; Tim R Mosmann; Susann Müller; Gabriele Multhoff; Luis Enrique Muñoz; Christian Münz; Toshinori Nakayama; Milena Nasi; Katrin Neumann; Lai Guan Ng; Antonia Niedobitek; Sussan Nourshargh; Gabriel Núñez; José-Enrique O'Connor; Aaron Ochel; Anna Oja; Diana Ordonez; Alberto Orfao; Eva Orlowski-Oliver; Wenjun Ouyang; Annette Oxenius; Raghavendra Palankar; Isabel Panse; Kovit Pattanapanyasat; Malte Paulsen; Dinko Pavlinic; Livius Penter; Pärt Peterson; Christian Peth; Jordi Petriz; Federica Piancone; Winfried F Pickl; Silvia Piconese; Marcello Pinti; A Graham Pockley; Malgorzata Justyna Podolska; Zhiyong Poon; Katharina Pracht; Immo Prinz; Carlo E M Pucillo; Sally A Quataert; Linda Quatrini; Kylie M Quinn; Helena Radbruch; Tim R D J Radstake; Susann Rahmig; Hans-Peter Rahn; Bartek Rajwa; Gevitha Ravichandran; Yotam Raz; Jonathan A Rebhahn; Diether Recktenwald; Dorothea Reimer; Caetano Reis e Sousa; Ester B M Remmerswaal; Lisa Richter; Laura G Rico; Andy Riddell; Aja M Rieger; J Paul Robinson; Chiara Romagnani; Anna Rubartelli; Jürgen Ruland; Armin Saalmüller; Yvan Saeys; Takashi Saito; Shimon Sakaguchi; Francisco Sala-de-Oyanguren; Yvonne Samstag; Sharon Sanderson; Inga Sandrock; Angela Santoni; Ramon Bellmàs Sanz; Marina Saresella; Catherine Sautes-Fridman; Birgit Sawitzki; Linda Schadt; Alexander Scheffold; Hans U Scherer; Matthias Schiemann; Frank A Schildberg; Esther Schimisky; Andreas Schlitzer; Josephine Schlosser; Stephan Schmid; Steffen Schmitt; Kilian Schober; Daniel Schraivogel; Wolfgang Schuh; Thomas Schüler; Reiner Schulte; Axel Ronald Schulz; Sebastian R Schulz; Cristiano Scottá; Daniel Scott-Algara; David P Sester; T Vincent Shankey; Bruno Silva-Santos; Anna Katharina Simon; Katarzyna M Sitnik; Silvano Sozzani; Daniel E Speiser; Josef Spidlen; Anders Stahlberg; Alan M Stall; Natalie Stanley; Regina Stark; Christina Stehle; Tobit Steinmetz; Hannes Stockinger; Yousuke Takahama; Kiyoshi Takeda; Leonard Tan; Attila Tárnok; Gisa Tiegs; Gergely Toldi; Julia Tornack; Elisabetta Traggiai; Mohamed Trebak; Timothy I M Tree; Joe Trotter; John Trowsdale; Maria Tsoumakidou; Henning Ulrich; Sophia Urbanczyk; Willem van de Veen; Maries van den Broek; Edwin van der Pol; Sofie Van Gassen; Gert Van Isterdael; René A W van Lier; Marc Veldhoen; Salvador Vento-Asturias; Paulo Vieira; David Voehringer; Hans-Dieter Volk; Anouk von Borstel; Konrad von Volkmann; Ari Waisman; Rachael V Walker; Paul K Wallace; Sa A Wang; Xin M Wang; Michael D Ward; Kirsten A Ward-Hartstonge; Klaus Warnatz; Gary Warnes; Sarah Warth; Claudia Waskow; James V Watson; Carsten Watzl; Leonie Wegener; Thomas Weisenburger; Annika Wiedemann; Jürgen Wienands; Anneke Wilharm; Robert John Wilkinson; Gerald Willimsky; James B Wing; Rieke Winkelmann; Thomas H Winkler; Oliver F Wirz; Alicia Wong; Peter Wurst; Jennie H M Yang; Juhao Yang; Maria Yazdanbakhsh; Liping Yu; Alice Yue; Hanlin Zhang; Yi Zhao; Susanne Maria Ziegler; Christina Zielinski; Jakob Zimmermann; Arturo Zychlinsky
Journal:  Eur J Immunol       Date:  2019-10       Impact factor: 6.688

10.  Pivotal factors associated with the immunosuppressive tumor microenvironment and melanoma metastasis.

Authors:  Chuan Zhang; Dan Dang; Lele Cong; Hongyan Sun; Xianling Cong
Journal:  Cancer Med       Date:  2021-06-22       Impact factor: 4.452

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.