Eomes-Dependent Loss of the Co-activating Receptor CD226 Restrains CD8+ T Cell Anti-tumor Functions and Limits the Efficacy of Cancer Immunotherapy.

CD8+ T cells within the tumor microenvironment (TME) are exposed to various signals that ultimately determine functional outcomes. Here, we examined the role of the co-activating receptor CD226 (DNAM-1) in CD8+ T cell function. The absence of CD226 expression identified a subset of dysfunctional CD8+ T cells present in peripheral blood of healthy individuals. These cells exhibited reduced LFA-1 activation, altered TCR signaling, and a distinct transcriptomic program upon stimulation. CD226neg CD8+ T cells accumulated in human and mouse tumors of diverse origin through an antigen-specific mechanism involving the transcriptional regulator Eomesodermin (Eomes). Despite similar expression of co-inhibitory receptors, CD8+ tumor-infiltrating lymphocyte failed to respond to anti-PD-1 in the absence of CD226. Immune checkpoint blockade efficacy was hampered in Cd226-/- mice. Anti-CD137 (4-1BB) agonists also stimulated Eomes-dependent CD226 loss that limited the anti-tumor efficacy of this treatment. Thus, CD226 loss restrains CD8+ T cell function and limits the efficacy of cancer immunotherapy.

Expression of Exhaustion Markers on CD8+ T-Cell Patterns Predict Outcomes in Septic Patients Admitted to the ICU.

RATIONALE: There is an unmet need to improve the description of the state of T-cell exhaustion in patients with sepsis, its reproducibility and correlation with the outcomes before including immunotherapy (like recombinant interleukin-7 or immune checkpoint inhibitors) in the therapeutic armamentarium against sepsis. DESIGN: Observational prospective study. SETTING: Two ICUs in a teaching hospital (France). PATIENTS: Eighty patients with sepsis admitted to the ICU. INTERVENTIONS: Quantification of CD4+ and CD8+ T-cell exhaustion at days 1 and 3. Quantification of the exhaustion markers (programmed death [PD]-1, 2B4, and cluster of differentiation [CD] 160) on T cells, the number of CD4+ regulatory T cells (CD3+ CD4+ CD25hi CD127Lo cells), and the phorbol myristate acetate/ionomycin/ionomycin-induced cytokines production (tumor necrosis factor-α, interleukin-2, and interferon-γ). MEASUREMENTS AND MAIN RESULTS: Using unsupervised clustering analysis, patients could be split in three clusters according to their dominant pattern expression of exhaustion markers on CD8+ T cells (i.e., 2B4lowPD-1lowCD160low, 2B4hiPD-1hiCD160low, and 2B4hiPD-1lowCD160hi) regardless of their underlying morbidities. Only 2B4hiPD-1hiCD160low CD8+ T cells had cytokine production defect, whereas 2B4hi PD-1lowCD160hi pattern correlated with cytokine overproduction. Patients with a predominant "highly activated" 2B4hiPD-1lowCD160hi pattern did not develop secondary bacterial infections. By multivariate analysis, Simplified Acute Physiology Score 2 gravity score at day 1 (p = 0.003) and patterns of exhaustion markers on CD8+ T cells (p = 0.03) were associated with the risk of death. Neither the level of CD4+ regulatory T cells nor the CD4+ exhaustion patterns were associated with the outcomes. CONCLUSIONS: Easy-to-use multicolor flow cytometry assessing 2B4, PD-1, and CD160 expression on CD8+ T cells at day 1 identifies septic patients with poor outcome and discriminates patient subsets in who immunomodulatory drugs should be tested.

Prognostic role of CD4 T-cell depletion after frontline fludarabine, cyclophosphamide and rituximab in chronic lymphocytic leukaemia.

BACKGROUND: Eradication of minimal residual disease (MRD), at the end of Fludarabine-Cyclophosphamide-Rituximab (FCR) treatment, is a validated surrogate marker for progression-free and overall survival in chronic lymphocytic leukaemia. But such deep responses are also associated with severe immuno-depletion, leading to infections and the development of secondary cancers. METHODS: We assessed, blood MRD and normal immune cell levels at the end of treatment, in 162 first-line FCR patients, and analysed survival and adverse event. RESULTS: Multivariate Landmark analysis 3 months after FCR completion identified unmutated IGHV status (HR, 2.03, p = 0.043), the level of MRD reached (intermediate versus low, HR, 2.43, p = 0.002; high versus low, HR, 4.56, p = 0.002) and CD4 > 200/mm3 (HR, 3.30, p <  0.001) as factors independently associated with progression-free survival (PFS); neither CD8 nor NK counts were associated with PFS. The CD4 count was associated with PFS irrespective of IGHV mutational status, but only in patients with detectable MRD (HR, 3.51, p = 0.0004, whereas it had no prognostic impact in MRD < 10- 4 patients: p = 0.6998). We next used a competitive risk model to investigate whether immune cell subsets could be associated with the risk of infection and found no association between CD4, CD8 and NK cells and infection. CONCLUSIONS: Consolidation/maintenance trials based on detectable MRD after FCR should investigate CD4 T-cell numbers both as a selection and a response criterion, and consolidation treatments should target B-cell/T-cell interactions.

Medical and Scientific Illustration in the United States (US).

The field of Medical and Scientific Illustration in the United States is large and constantly changing. In 1974, when the author began his studies, everything about the field was different. At the time, a student in the U.S. could go to a number of Universities (4 year) or Colleges (2 year) to study this subject. More than forty years later, only a few programs still offer similar programs of study. The Rochester Institute of Technology (RIT), where the author is a professor and Randolph Community College in North Carolina are all that remain from the more than ten that had operated. These two programs are very different from one another and there is not adequate space in this article to expand on these differences. Program details can be found online at: http://cias.rit.edu/schools/photographic-arts-sciences/undergraduate-biomedical-photographic-communications.

The continuing exploration.

Michael Peres has become a lead in the field of photomicrography and this article gives an account of his journey as a developing professional.

The novel HLA-B*44:48:02 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-B*44:48:02 differs from HLA-B*44:48:01 by one synonymous nucleotide substitution in exon 3.

The novel HLA-C*07:02:147 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-C*07:02:147 differs from HLA-C*07:02:01:01 by one synonymous nucleotide substitution in exon 2.

The novel HLA-A*36:14 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-A*36:14 differs from HLA-A*36:01:01:01 by one non-synonymous nucleotide substitution in exon 4.

The novel HLA-DRB1*03:210 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-DRB1*03:210 differs from HLA-DRB1*03:01:01:01 by one non-synonymous nucleotide substitution in exon 3.

The novel HLA-DRB1*11:323 allele characterized by two different sequencing-based typing techniques.

The novel allele HLA-DRB1*11:323 differs from HLA-DRB1*11:01:02:01 by one non-synonymous nucleotide substitution in exon 2.

The novel HLA-A*30:01:23 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-A*30:01:23 differs from HLA-A*30:01:01:01 by one synonymous nucleotide substitution in exon 2.

The novel HLA-DPB1*1467:01 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-DPB1*1467:01 differs from HLA-DPB1*09:01:01:01 by one non-synonymous nucleotide substitution in exon 2.

The novel HLA-DRB5*02:35 allele characterized by two different sequencing-based typing techniques.

The novel allele HLA-DRB5*02:35 differs from HLA-DRB5*02:02:01 by one non-synonymous nucleotide substitution in exon 2.

The novel HLA-DRB1*16:71 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-DRB1*16:71 differs from HLA-DRB1*16:01:01:01 by one non-synonymous nucleotide substitution in exon 2.

The novel HLA-B*56:91 allele characterised by three different sequencing-based typing techniques.

The novel allele HLA-B*56:91 differs from HLA-B*56:33 by one non-synonymous nucleotide substitution in exon 2.

The novel HLA-C*07:1058 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-C*07:1058 differs from HLA-C*07:02:01:01 by one non-synonymous nucleotide substitution in exon 4.

The novel HLA-B*44:369 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-B*44:369 differs from HLA-B*44:02:01:01 by one non-synonymous nucleotide substitution in exon 3.

The novel HLA-B*53:01:30 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-B*53:01:30 differs from HLA-B*53:01:01:01 by one synonymous nucleotide substitution in exon 3.

The novel HLA-A*11:443 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-A*11:443 differs from HLA-A*11:01:01:01 by one non-synonymous nucleotide substitution in exon 2.

Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation.

The biological processes underlying NK cell alloreactivity in haematopoietic stem cell transplantation (HSCT) remain unclear. Many different models to predict NK alloreactivity through KIR and MHC genotyping exist, raising ambiguities in its utility and application for clinicians. We assessed 27 predictive models, broadly divided into six categories of alloreactivity prediction: ligand-ligand, receptor-ligand, educational, KIR haplotype-based, KIR matching and KIR allelic polymorphism. The models were applied to 78 NGS-typed donor/recipient pairs undergoing allogeneic HSCT in genoidentical (n=43) or haploidentical (n=35) matchings. Correlations between different predictive models differed widely, suggesting that the choice of the model in predicting NK alloreactivity matters. For example, two broadly used models, educational and receptor-ligand, led to opposing predictions especially in the genoidentical cohort. Correlations also depended on the matching fashion, suggesting that this parameter should also be taken into account in the choice of the scoring strategy. The number of centromeric B-motifs was the only model strongly correlated with the incidence of acute graft-versus-host disease in our set of patients in both the genoidentical and the haploidentical cohorts, suggesting that KIR-based alloreactivity, not MHC mismatches, are responsible for it. To our best knowledge, this paper is the first to experimentally compare NK alloreactivity prediction models within a cohort of genoidentical and haploidentical donor-recipient pairs. This study helps to resolve current discrepancies in KIR-based alloreactivity predictions and highlights the need for deeper consideration of the models used in clinical studies as well as in medical practice.