The Targeting Effect of Cetuximab Combined with PD-L1 Blockade against EGFR-Expressing Tumors in a Tailored CD16-CAR T-Cell Reporter System.

The switchable chimeric antigen receptors (CARs) have shown many advantages in CAR T-cell therapy. However, human primary T-cells are required to evaluate antigen-specific adaptors by IFN-γ assay or FACS analysis, which limits the throughput of adaptor screening. A sensitive and robust CD16-CAR Jurkat NFAT-eGFP reporter system has been developed to assess the therapeutic efficacy of antibody-targeted CAR-T-cell by effectively evaluating the T-cell activation by various tumor cells and the impact of immune checkpoint inhibitor antibodies. This reporter system facilitates the screening of targeted antibodies in a high throughput manner for the development of improved T-cell immunotherapy.

IL-17A gene transfer induces bone loss and epidermal hyperplasia associated with psoriatic arthritis.

BACKGROUND: Psoriatic arthritis (PsA) is a chronic inflammatory disease characterised by clinical features that include bone loss and epidermal hyperplasia. Aberrant cytokine expression has been linked to joint and skin pathology; however, it is unclear which cytokines are critical for disease initiation. Interleukin 17A (IL-17A) participates in many pathological immune responses; however, its role in PsA has not been fully elucidated. OBJECTIVE: To determine the role of IL-17A in epidermal hyperplasia and bone destruction associated with psoriatic arthritis. DESIGN: An in vivo gene transfer approach was used to investigate the role of IL-17A in animal models of inflammatory (collagen-induced arthritis) and non-inflammatory (receptor activator of NF-κB ligand (RANKL)-gene transfer) bone loss. RESULTS: IL-17A gene transfer induced the expansion of IL-17RA(+)CD11b(+)Gr1(low) osteoclast precursors and a concomitant elevation of biomarkers indicative of bone resorption. This occurred at a time preceding noticeable joint inflammation, suggesting that IL-17A is critical for the induction of pathological bone resorption through direct activation of osteoclast precursors. Moreover, IL-17A induced a second myeloid population CD11b(+)Gr1(high) neutrophil-like cells, which was associated with cutaneous pathology including epidermal hyperplasia, parakeratosis and Munro's microabscesses formation. CONCLUSIONS: Collectively, these data support that IL-17A can play a key role in the pathogenesis of inflammation-associated arthritis and/or skin disease, as observed in PsA.

An integrated database of experimentally validated major histocompatibility complex epitopes for antigen-specific cancer therapy.

Cancer immunotherapy represents a paradigm shift in oncology, offering a superior anti-tumor efficacy and the potential for durable remission. The success of personalized vaccines and cell therapies hinges on the identification of immunogenic epitopes capable of eliciting an effective immune response. Current limitations in the availability of immunogenic epitopes restrict the broader application of such therapies. A critical criterion for serving as potential cancer antigens is their ability to stably bind to the major histocompatibility complex (MHC) for presentation on the surface of tumor cells. To address this, we have developed a comprehensive database of MHC epitopes, experimentally validated for their MHC binding and cell surface presentation. Our database catalogs 451 065 MHC peptide epitopes, each with experimental evidence for MHC binding, along with detailed information on human leukocyte antigen allele specificity, source peptides, and references to original studies. We also provide the grand average of hydropathy scores and predicted immunogenicity for the epitopes. The database (MHCepitopes) has been made available on the web and can be accessed at https://github.com/jcm1201/MHCepitopes.git. By consolidating empirical data from various sources coupled with calculated immunogenicity and hydropathy values, our database offers a robust resource for selecting actionable tumor antigens and advancing the design of antigen-specific cancer immunotherapies. It streamlines the process of identifying promising immunotherapeutic targets, potentially expediting the development of effective antigen-based cancer immunotherapies.

Tissue-resident memory T cell signatures from single-cell analysis associated with better melanoma prognosis.

Tissue-resident memory T cells (TRM) are a specialized T cell population residing in peripheral tissues. The presence and potential impact of TRM in the tumor immune microenvironment (TIME) remain to be elucidated. Here, we systematically investigated the relationship between TRM and melanoma TIME based on multiple clinical single-cell RNA-seq datasets and developed signatures indicative of TRM infiltration. TRM infiltration is associated with longer overall survival and abundance of T cells, NK cells, M1 macrophages, and memory B cells in the TIME. A 22-gene TRM-derived risk score was further developed to effectively classify patients into low- and high-risk categories, distinguishing overall survival and immune activation, particularly in T cell-mediated responses. Altogether, our analysis suggests that TRM abundance is associated with melanoma TIME activation and patient survival, and the TRM-based machine learning model can potentially predict prognosis in melanoma patients.

A comprehensive meta-analysis of tissue resident memory T cells and their roles in shaping immune microenvironment and patient prognosis in non-small cell lung cancer.

Tissue-resident memory T cells (TRM) are a specialized subset of long-lived memory T cells that reside in peripheral tissues. However, the impact of TRM-related immunosurveillance on the tumor-immune microenvironment (TIME) and tumor progression across various non-small-cell lung cancer (NSCLC) patient populations is yet to be elucidated. Our comprehensive analysis of multiple independent single-cell and bulk RNA-seq datasets of patient NSCLC samples generated reliable, unique TRM signatures, through which we inferred the abundance of TRM in NSCLC. We discovered that TRM abundance is consistently positively correlated with CD4+ T helper 1 cells, M1 macrophages, and resting dendritic cells in the TIME. In addition, TRM signatures are strongly associated with immune checkpoint and stimulatory genes and the prognosis of NSCLC patients. A TRM-based machine learning model to predict patient survival was validated and an 18-gene risk score was further developed to effectively stratify patients into low-risk and high-risk categories, wherein patients with high-risk scores had significantly lower overall survival than patients with low-risk. The prognostic value of the risk score was independently validated by the Cancer Genome Atlas Program (TCGA) dataset and multiple independent NSCLC patient datasets. Notably, low-risk NSCLC patients with higher TRM infiltration exhibited enhanced T-cell immunity, nature killer cell activation, and other TIME immune responses related pathways, indicating a more active immune profile benefitting from immunotherapy. However, the TRM signature revealed low TRM abundance and a lack of prognostic association among lung squamous cell carcinoma patients in contrast to adenocarcinoma, indicating that the two NSCLC subtypes are driven by distinct TIMEs. Altogether, this study provides valuable insights into the complex interactions between TRM and TIME and their impact on NSCLC patient prognosis. The development of a simplified 18-gene risk score provides a practical prognostic marker for risk stratification.

IL-23 is critical for induction of arthritis, osteoclast formation, and maintenance of bone mass.

The role of IL-23 in the development of arthritis and bone metabolism was studied using systemic IL-23 exposure in adult mice via hydrodynamic delivery of IL-23 minicircle DNA in vivo and in mice genetically deficient in IL-23. Systemic IL-23 exposure induced chronic arthritis, severe bone loss, and myelopoiesis in the bone marrow and spleen, which resulted in increased osteoclast differentiation and systemic bone loss. The effect of IL-23 was partly dependent on CD4(+) T cells, IL-17A, and TNF, but could not be reproduced by overexpression of IL-17A in vivo. A key role in the IL-23-induced arthritis was made by the expansion and activity of myeloid cells. Bone marrow macrophages derived from IL-23p19(-/-) mice showed a slower maturation into osteoclasts with reduced tartrate-resistant acid phosphatase-positive cells and dentine resorption capacity in in vitro osteoclastogenesis assays. This correlated with fewer multinucleated osteoclast-like cells and more trabecular bone volume and number in 26-wk-old male IL-23p19(-/-) mice compared with control animals. Collectively, our data suggest that systemic IL-23 exposure induces the expansion of a myeloid lineage osteoclast precursor, and targeting IL-23 pathway may combat inflammation-driven bone destruction as observed in rheumatoid arthritis and other autoimmune arthritides.

High-efficiency of genetic modification using CRISPR/Cpf1 system for engineered CAR-T cell therapy.

Chimeric antigen receptor T (CAR-T) cell therapy has demonstrated promising efficacy in several kinds of blood cancers, including diffuse large B-cell lymphoma and acute and chronic lymphoblastic leukemia, etc. It is essential to effectively generate more potent and safer CAR-T cells through gene editing technologies for immune cell therapy. Conventional methods based on lentivirus, retrovirus and transposon, randomly integrate CAR sequence into T cell genome, which could lead to safety issues. Therefore, precise knock-in of CAR cassette into specific gene locus like TRAC and PDCD1 can lower the risks caused by random integration, as well as enhance the stability and function of the modified CAR-T cells. Current approaches of CRISPR/Cas9-based gene-editing have limitations in knock-in efficiency of the chimeric antigen receptor, while Cpf1, a CRISPR-Cas/RNA-guided nuclease, shows higher homology-directed repair (HDR) rate compared to Cas9 due to its unique biochemical characteristics. Here, we introduce a method combining electroporation and adeno-associated virus (AAV) infection to deliver CRISPR/Cpf1 components and a HDR template into T cells, thus precisely integrate CAR sequence at a specific gene locus with high efficiency.

Potential association factors for developing effective peptide-based cancer vaccines.

Peptide-based cancer vaccines have been shown to boost immune systems to kill tumor cells in cancer patients. However, designing an effective T cell epitope peptide-based cancer vaccine still remains a challenge and is a major hurdle for the application of cancer vaccines. In this study, we constructed for the first time a library of peptide-based cancer vaccines and their clinical attributes, named CancerVaccine (https://peptidecancervaccine.weebly.com/). To investigate the association factors that influence the effectiveness of cancer vaccines, these peptide-based cancer vaccines were classified into high (HCR) and low (LCR) clinical responses based on their clinical efficacy. Our study highlights that modified peptides derived from artificially modified proteins are suitable as cancer vaccines, especially for melanoma. It may be possible to advance cancer vaccines by screening for HLA class II affinity peptides may be an effective therapeutic strategy. In addition, the treatment regimen has the potential to influence the clinical response of a cancer vaccine, and Montanide ISA-51 might be an effective adjuvant. Finally, we constructed a high sensitivity and specificity machine learning model to assist in designing peptide-based cancer vaccines capable of providing high clinical responses. Together, our findings illustrate that a high clinical response following peptide-based cancer vaccination is correlated with the right type of peptide, the appropriate adjuvant, and a matched HLA allele, as well as an appropriate treatment regimen. This study would allow for enhanced development of cancer vaccines.

Influence of T Cell-Mediated Immune Surveillance on Somatic Mutation Occurrences in Melanoma.

Background: Neoantigens are presented on the cancer cell surface by peptide-restricted human leukocyte antigen (HLA) proteins and can subsequently activate cognate T cells. It has been hypothesized that the observed somatic mutations in tumors are shaped by immunosurveillance. Methods: We investigated all somatic mutations identified in The Cancer Genome Atlas (TCGA) Skin Cutaneous Melanoma (SKCM) samples. By applying a computational algorithm, we calculated the binding affinity of the resulting neo-peptides and their corresponding wild-type peptides with the major histocompatibility complex (MHC) Class I complex. We then examined the relationship between binding affinity alterations and mutation frequency. Results: Our results show that neoantigens derived from recurrent mutations tend to have lower binding affinities with the MHC Class I complex compared to peptides from non-recurrent mutations. Tumor samples harboring recurrent SKCM mutations exhibited lower immune infiltration levels, indicating a relatively colder immune microenvironment. Conclusions: These results suggested that the occurrences of somatic mutations in melanoma have been shaped by immunosurveillance. Mutations that lead to neoantigens with high MHC class I binding affinity are more likely to be eliminated and thus are less likely to be present in tumors.

Single-cell transcriptome analysis of the heterogeneous effects of differential expression of tumor PD-L1 on responding TCR-T cells.

Rationale: TCR-T cell therapy plays a critical role in the treatment of malignant cancers. However, it is unclear how TCR-T cells are affected by PD-L1 molecule in the tumor environment. We performed an in-depth evaluation on how differential expressions of tumor PD-L1 can affect the functionality of T cells. Methods: We used MART-1-specific TCR-T cells (TCR-TMART-1), stimulated with MART-127-35 peptide-loaded MEL-526 tumor cells, expressing different proportions of PD-L1, to perform cellular assays and high-throughput single-cell RNA sequencing. Results: Different clusters of activated or cytotoxic TCR-TMART-1 responded divergently when stimulated with tumor cells expressing different percentages of PD-L1 expression. Compared to control T cells, TCR-TMART-1 were more sensitive to exhaustion, and secreted not only pro-inflammatory cytokines but also anti-inflammatory cytokines with increasing proportions of PD-L1+ tumor cells. The gene profiles of chemokines were modified by increased expression of tumor PD-L1, which concurrently downregulated pro-inflammatory and anti-inflammatory transcription factors. Furthermore, increased expression of tumor PD-L1 showed distinct effects on different inhibitory checkpoint molecules (ICMs). In addition, there was a limited correlation between the enrichment of cell death signaling in tumor cells and T cells and increased tumor PD-L1 expression. Conclusion: Overall, though the effector functionality of TCR-T cells was suppressed by increased expression percentages of tumor PD-L1 in vitro, scRNA-seq profiles revealed that both the anti-inflammatory and pro-inflammatory responses were triggered by a higher expression of tumor PD-L1. This suggests that the sole blockade of tumor PD-L1 might inhibit not only the anti-inflammatory response but also the pro-inflammatory response in the complicated tumor microenvironment. Thus, the outcome of PD-L1 intervention may depend on the final balance among the highly dynamic and heterogeneous immune regulatory circuits.

CD4(+) T cells from glutamic acid decarboxylase (GAD)65-specific T cell receptor transgenic mice are not diabetogenic and can delay diabetes transfer.

Glutamic acid decarboxylase (GAD)65 is an early and important antigen in both human diabetes mellitus and the nonobese diabetic (NOD) mouse. However, the exact role of GAD65-specific T cells in diabetes pathogenesis is unclear. T cell responses to GAD65 occur early in diabetes pathogenesis, yet only one GAD65-specific T cell clone of many identified can transfer diabetes. We have generated transgenic mice on the NOD background expressing a T cell receptor (TCR)-specific for peptide epitope 286-300 (p286) of GAD65. These mice have GAD65-specific CD4(+) T cells, as shown by staining with an I-A(g7)(p286) tetramer reagent. Lymphocytes from these TCR transgenic mice proliferate and make interferon gamma, interleukin (IL)-2, tumor necrosis factor (TNF)-alpha, and IL-10 when stimulated in vitro with GAD65 peptide 286-300, yet these TCR transgenic animals do not spontaneously develop diabetes, and insulitis is virtually undetectable. Furthermore, in vitro activated CD4 T cells from GAD 286 TCR transgenic mice express higher levels of CTL-associated antigen (CTLA)-4 than nontransgenic littermates. CD4(+) T cells, or p286-tetramer(+)CD4(+) Tcells, from GAD65 286-300-specific TCR transgenic mice delay diabetes induced in NOD.scid mice by diabetic NOD spleen cells. This data suggests that GAD65 peptide 286-300-specific T cells have disease protective capacity and are not pathogenic.

Selective targeting of the oncogenic KRAS G12S mutant allele by CRISPR/Cas9 induces efficient tumor regression.

Rationale: KRAS is one of the most frequently mutated oncogenes in cancers. The protein's picomolar affinity for GTP/GDP and smooth protein structure resulting in the absence of known allosteric regulatory sites makes its genomic-level activating mutations a difficult but attractive target. Methods: Two CRISPR systems, genome-editing CRISPR/SpCas9 and transcription-regulating dCas9-KRAB, were developed to deplete the KRAS G12S mutant allele or repress its transcription, respectively, with the goal of treating KRAS-driven cancers. Results: SpCas9 and dCas9-KRAB systems with a sgRNA targeting the mutant allele blocked the expression of the mutant KRAS gene, leading to an inhibition of cancer cell proliferation. Local adenoviral injections using SpCas9 and dCas9-KRAB systems suppressed tumor growth in vivo. The gene-depletion system (SpCas9) performed more effectively than the transcription-suppressing system (dCas9-KRAB) on tumor inhibition. Application of both Cas9 systems to wild-type KRAS tumors did not affect cell proliferation. Furthermore, through bioinformatic analysis of 31555 SNP mutations of the top 20 cancer driver genes, the data showed that our mutant-specific editing strategy could be extended to a reference list of oncogenic mutations with high editing potentials. This pipeline could be applied to analyze the distribution of PAM sequences and survey the best alternative targets for gene editing. Conclusion: We successfully developed both gene-depletion and transcription-suppressing systems to specifically target an oncogenic KRAS mutant allele that led to significant tumor regression. These findings show the potential of CRISPR-based strategies for the treatment of tumors with driver gene mutations.

Therapeutic potential of CRISPR/Cas9 gene editing in engineered T-cell therapy.

Cancer patients have been treated with various types of therapies, including conventional strategies like chemo-, radio-, and targeted therapy, as well as immunotherapy like checkpoint inhibitors, vaccine and cell therapy etc. Among the therapeutic alternatives, T-cell therapy like CAR-T (Chimeric Antigen Receptor Engineered T cell) and TCR-T (T Cell Receptor Engineered T cell), has emerged as the most promising therapeutics due to its impressive clinical efficacy. However, there are many challenges and obstacles, such as immunosuppressive tumor microenvironment, manufacturing complexity, and poor infiltration of engrafted cells, etc still, need to be overcome for further treatment with different forms of cancer. Recently, the antitumor activities of CAR-T and TCR-T cells have shown great improvement with the utilization of CRISPR/Cas9 gene editing technology. Thus, the genome editing system could be a powerful genetic tool to use for manipulating T cells and enhancing the efficacy of cell immunotherapy. This review focuses on pros and cons of various gene delivery methods, challenges, and safety issues of CRISPR/Cas9 gene editing application in T-cell-based immunotherapy.

CD47-CAR-T Cells Effectively Kill Target Cancer Cells and Block Pancreatic Tumor Growth.

CD47 is a glycoprotein of the immunoglobulin superfamily that is often overexpressed in different types of hematological and solid cancer tumors and plays important role in blocking phagocytosis, increased tumor survival, metastasis and angiogenesis. In the present report, we designed CAR (chimeric antigen receptor)-T cells that bind CD47 antigen. We used ScFv (single chain variable fragment) from mouse CD47 antibody to generate CD47-CAR-T cells for targeting different cancer cell lines. CD47-CAR-T cells effectively killed ovarian, pancreatic and other cancer cells and produced high level of cytokines that correlated with expression of CD47 antigen. In addition, CD47-CAR-T cells significantly blocked BxPC3 pancreatic xenograft tumor growth after intratumoral injection into NSG mice. Moreover, we humanized mouse CD47 ScFv and showed that it effectively bound CD47 antigen. The humanized CD47-CAR-T cells also specifically killed ovarian, pancreatic, and cervical cancer cell lines and produced IL-2 that correlated with expression of CD47. Thus, CD47-CAR-T cells can be used as a novel cellular therapeutic agent for treating different types of cancer.

PSSMHCpan: a novel PSSM-based software for predicting class I peptide-HLA binding affinity.

Predicting peptide binding affinity with human leukocyte antigen (HLA) is a crucial step in developing powerful antitumor vaccine for cancer immunotherapy. Currently available methods work quite well in predicting peptide binding affinity with HLA alleles such as HLA-A*0201, HLA-A*0101, and HLA-B*0702 in terms of sensitivity and specificity. However, quite a few types of HLA alleles that are present in the majority of human populations including HLA-A*0202, HLA-A*0203, HLA-A*6802, HLA-B*5101, HLA-B*5301, HLA-B*5401, and HLA-B*5701 still cannot be predicted with satisfactory accuracy using currently available methods. Furthermore, currently the most popularly used methods for predicting peptide binding affinity are inefficient in identifying neoantigens from a large quantity of whole genome and transcriptome sequencing data. Here we present a Position Specific Scoring Matrix (PSSM)-based software called PSSMHCpan to accurately and efficiently predict peptide binding affinity with a broad coverage of HLA class I alleles. We evaluated the performance of PSSMHCpan by analyzing 10-fold cross-validation on a training database containing 87 HLA alleles and obtained an average area under receiver operating characteristic curve (AUC) of 0.94 and accuracy (ACC) of 0.85. In an independent dataset (Peptide Database of Cancer Immunity) evaluation, PSSMHCpan is substantially better than the popularly used NetMHC-4.0, NetMHCpan-3.0, PickPocket, Nebula, and SMM with a sensitivity of 0.90, as compared to 0.74, 0.81, 0.77, 0.24, and 0.79. In addition, PSSMHCpan is more than 197 times faster than NetMHC-4.0, NetMHCpan-3.0, PickPocket, sNebula, and SMM when predicting neoantigens from 661 263 peptides from a breast tumor sample. Finally, we built a neoantigen prediction pipeline and identified 117 017 neoantigens from 467 cancer samples of various cancers from TCGA. PSSMHCpan is superior to the currently available methods in predicting peptide binding affinity with a broad coverage of HLA class I alleles.

IL-23 induces spondyloarthropathy by acting on ROR-γt+ CD3+CD4-CD8- entheseal resident T cells.

The spondyloarthropathies are a group of rheumatic diseases that are associated with inflammation at anatomically distal sites, particularly the tendon-bone attachments (entheses) and the aortic root. Serum concentrations of interleukin-23 (IL-23) are elevated and polymorphisms in the IL-23 receptor are associated with ankyosing spondylitis, however, it remains unclear whether IL-23 acts locally at the enthesis or distally on circulating cell populations. We show here that IL-23 is essential in enthesitis and acts on previously unidentified IL-23 receptor (IL-23R)(+), RAR-related orphan receptor γt (ROR-γt)(+)CD3(+)CD4(-)CD8(-), stem cell antigen 1 (Sca1)(+) entheseal resident T cells. These cells allow entheses to respond to IL-23 in vitro-in the absence of further cellular recruitment--and to elaborate inflammatory mediators including IL-6, IL-17, IL-22 and chemokine (C-X-C motif) ligand 1 (CXCL1). Notably, the in vivo expression of IL-23 is sufficient to phenocopy the human disease, with the specific and characteristic development of enthesitis and entheseal new bone formation in the initial complete absence of synovitis. As in the human condition, inflammation also develops in vivo at the aortic root and valve, which are structurally similar to entheses. The presence of these entheseal resident cells and their production of IL-22, which activates signal transducer and activator of transcription 3 (STAT3)-dependent osteoblast-mediated bone remodeling, explains why dysregulation of IL-23 results in inflammation at this precise anatomical site.

Anti-IL-17A therapy protects against bone erosion in experimental models of rheumatoid arthritis.

Interleukin-17A (IL-17A) is a pro-inflammatory cytokine secreted by a subset of memory T cells and other innate immune cells. It is associated with rheumatoid arthritis (RA) due to IL-17A expression in RA synovial fluid. The severe bone erosive rat adjuvant-induced arthritis (rAIA) and mouse collagen-induced arthritis (mCIA) models were used to address the therapeutic efficacy of anti-IL-17A treatment with a focused investigation on bone protection. In the rAIA model, treatment with anti-IL-17A completely alleviated arthritis, lowered the level of receptor activator of NFκB ligand (RANKL), and inhibited structural damage to the bones. In the mCIA model, IL-17A neutralization coincident with arthritis development or in mice with established arthritis diminished joint swelling by inhibiting disease initiation and progression. Intriguingly, even the few joints that became outwardly severely inflamed in the presence of an anti-IL-17A antagonist had diminished joint histopathology scores compared to severely inflamed, control-treated mice. The bone-preserving property correlated with decreased RANKL message in severely inflamed paws of arthritic mice. These data identify IL-17A as a key factor in inflammation-mediated bone destruction and support anti-IL-17A therapy for the treatment of inflammatory bone diseases such as RA.

Mature B cells are critical to T-cell-mediated tumor immunity induced by an agonist anti-GITR monoclonal antibody.

An agonistic antibody DTA-1, to glucocorticoid-induced TNFR-related protein (GITR), induces T-cell activation and antitumor immunity. CD4(+) effector T cells are essential in initiating GITR-induced immune activation, and the sequentially activated cytolytic CD8(+) T cells are sufficient to induce tumor rejection. Administration of DTA-1 to a tumor-bearing mouse also induces B-cell activation illustrated by CD69 expression. Substantial evidence suggests that resting B cells are tumor promoting, which has prompted the idea of B-cell depletion by Rituximab, to be combined with other agents in the clinic to augment antitumor response. In this study, we have found that mature B cells are needed for the mechanism of anti-GITR agonist to kill tumors. The treatment of GITR agonist induces profound B-cell activation, differentiation, and antibody production. In a mature B-cell-deficient mouse (JHD), DTA-1 fails to induce tumor regression with a reduced early activation of CD4(+) and CD8(+) T cells. B-cell deficiency disables the capability of the DTA-1 in generating cytolytic CD8(+) T cells and significantly reduces the cytokine production in tumor bearing mice. The tumor-killing activities of DTA-1 are still present albeit reduced in the CD40(-/-) mice, in which IgG production is impaired. We have also shown that the dependence on B cells to kill tumors differentiates GITR costimulation from CTLA4 blockade and OX40 agonism in tumor immunotherapy. The findings underscore the reciprocal T-cell-B-cell interaction to enhance antitumor immunity upon GITR costimulation. The results provide the insight that attenuating B-cell functions may not be beneficial in cancer immunotherapy based on GITR agonism.

Structural, cellular, and molecular evaluation of bone erosion in experimental models of rheumatoid arthritis: assessment by µCT, histology, and serum biomarkers.

Bone erosion is a clinical endpoint for various diseases including rheumatoid arthritis. In this paper, we used rodent arthritis models with severe bone erosion to examine the structural, cellular, and molecular aspects of the inflammation-driven bone resorption process. Our data show that bone loss is observed only in chronically, severely inflamed joints. The most severely affected anatomic sites were the metatarsal phalangeal joint and tarsal bones of the paw. The magnitude of the inflammation-driven bone erosion was dependent on both the duration of inflammatory response and the severity of the joint swelling response. The application of micro-computed tomography well demonstrated the therapeutic benefit of anti-IL-17A in protection of bones from erosion. Alterations in the cellular profile of the joint occurred prior to any major structural deterioration of the bone. Receptor activator for nuclear factor κB ligand, a potent inducer of osteoclast differentiation and bone resorption, was elevated in animals coincident with severe arthritis initiation. The experimental approaches and concepts outlined in this paper provide a valuable process to evaluate and quantify therapies that modulate rodent arthritis-associated bone-erosion models.