68 research outputs found

    Tumor-induced senescent T cells with suppressor function: A potential form of tumor immune evasion

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    Senescent and suppressor T cells are reported to be increased in select patients with cancer and are poor prognostic indicators. Based on the association of these T cells and poor outcomes, we hypothesized that tumors induce senescence in T cells, which negatively effects antitumor immunity. In this report, we show that human T cells from healthy donors incubated with tumor for only 6 h at a low tumor to T-cell ratio undergo a senescence-like phenotype, characterized by the loss of CD27 and CD28 expression and telomere shortening. Tumor-induced senescence of T cells is induced by soluble factors and triggers increases in expression of senescence-associated molecules such as p53, p21, and p16. Importantly, these T cells are not only phenotypically altered, but also functionally altered as they can suppress the proliferation of responder T cells. This suppression requires cell-to-cell contact and is mediated by senescent CD4+ and CD8+ subpopulations, which are distinct from classically described natural T regulatory cells. Our observations support the novel concept that tumor can induce senescent T cells with suppressor function and may effect both the diagnosis and treatment of cancer. ©2008 American Association for Cancer Research.Fil: Montes, Carolina Lucia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; ArgentinaFil: Chapoval, Andrei I.. University of Maryland; Estados UnidosFil: Nelson, Jonas. University of Maryland; Estados UnidosFil: Orhue, Vbenosa. University of Maryland; Estados UnidosFil: Zhang, Xiaoyu. University of Maryland; Estados UnidosFil: Schulze, Dan H.. University of Maryland; Estados UnidosFil: Strome, Scott E.. University of Maryland; Estados UnidosFil: Gastman, Brian R.. University of Maryland; Estados Unido

    Guidance of sentinel lymph node biopsy decisions in patients with T1-T2 melanoma using gene expression profiling.

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    AIM: Can gene expression profiling be used to identify patients with T1-T2 melanoma at low risk for sentinel lymph node (SLN) positivity? PATIENTS & METHODS: Bioinformatics modeling determined a population in which a 31-gene expression profile test predicted \u3c5% SLN positivity. Multicenter, prospectively-tested (n = 1421) and retrospective (n = 690) cohorts were used for validation and outcomes, respectively. RESULTS: Patients 55-64 years and ≥65 years with a class 1A (low-risk) profile had SLN positivity rates of 4.9% and 1.6%. Class 2B (high-risk) patients had SLN positivity rates of 30.8% and 11.9%. Melanoma-specific survival was 99.3% for patients ≥55 years with class 1A, T1-T2 tumors and 55.0% for class 2B, SLN-positive, T1-T2 tumors. CONCLUSION: The 31-gene expression profile test identifies patients who could potentially avoid SLN biopsy

    CD137 promotes proliferation and survival of human B cells

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    CD137 (4-1BB)-mediated costimulation plays an important role in directing the fate of Ag-stimulated T cells and NK cells, yet the role of CD137 in mediating B cell function is unknown. We found that CD137 is expressed in vitro on anti-Ig–stimulated peripheral blood B cells and in vivo on tonsillar B cells with an activated phenotype. In vitro CD137 expression is enhanced by CD40 stimulation and IFN-g and is inhibited by IL-4, -10, and -21. The expression of CD137 on activated human B cells is functionally relevant because engagement with its ligand at the time of activation stimulates B cell proliferation, enhances B cell survival, and induces secretion of TNF-a and -b. Our study suggests that CD137 costimulation may play a role in defining the fate of Agstimulated human B cells.Fil: Zhang, Xiaoyu. University of Maryland; Estados UnidosFil: Voskens, Caroline J.. University of Maryland; Estados UnidosFil: Sallin, Michelle. University of Maryland; Estados UnidosFil: Maniar, Amudhan. University of Maryland; Estados UnidosFil: Montes, Carolina Lucia. University of Maryland; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; ArgentinaFil: Zhang, Yue. University of Maryland; Estados UnidosFil: Lin, Wei. University of Maryland; Estados UnidosFil: Li, Guoyan. University of Maryland; Estados UnidosFil: Burch, Erin. University of Maryland; Estados UnidosFil: Tan, Ming. University of Maryland; Estados UnidosFil: Hertzano, Ronna. University of Maryland; Estados UnidosFil: Chapoval, Andrei I.. University of Maryland; Estados UnidosFil: Tamada, Koji. University of Maryland; Estados UnidosFil: Gastman, Brian R.. University of Maryland; Estados UnidosFil: Schulze, Dan H.. University of Maryland; Estados UnidosFil: Strome, Scott E.. University of Maryland; Estados Unido

    Perspectives in Melanoma: Meeting Report From the Melanoma Bridge (December 1st–3rd, 2022-Naples, Italy)

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    Outcomes for patients with melanoma have improved over the past decade with the clinical development and approval of immunotherapies targeting immune checkpoint receptors such as programmed death-1 (PD-1), programmed death ligand 1 (PD-L1) or cytotoxic T lymphocyte antigen-4 (CTLA-4). Combinations of these checkpoint therapies with other agents are now being explored to improve outcomes and enhance benefit-risk profiles of treatment. Alternative inhibitory receptors have been identified that may be targeted for anti-tumor immune therapy, such as lymphocyte-activation gene-3 (LAG-3), as have several potential target oncogenes for molecularly targeted therapy, such as tyrosine kinase inhibitors. Unfortunately, many patients still progress and acquire resistance to immunotherapy and molecularly targeted therapies. To bypass resistance, combination treatment with immunotherapies and single or multiple TKIs have been shown to improve prognosis compared to monotherapy. The number of new combinations treatment under development for melanoma provides options for the number of patients to achieve a therapeutic benefit. Many diagnostic and prognostic assays have begun to show clinical applicability providing additional tools to optimize and individualize treatments. However, the question on the optimal algorithm of first- and later-line therapies and the search for biomarkers to guide these decisions are still under investigation. This year, the Melanoma Bridge Congress (Dec 1st-3rd, 2022, Naples, Italy) addressed the latest advances in melanoma research, focusing on themes of paramount importance for melanoma prevention, diagnosis and treatment. This included sessions dedicated to systems biology on immunotherapy, immunogenicity and gene expression profiling, biomarkers, and combination treatment strategies
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