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1.
J Infect Dis ; 2024 Mar 04.
Artigo em Inglês | MEDLINE | ID: mdl-38437622

RESUMO

Patients with B-cell lymphomas have altered cellular components of vaccine responses due to malignancy and therapy, and the optimal timing of vaccination relative to therapy remains unknown. SARS-CoV-2 vaccines created an opportunity for new insights in vaccine timing because patients were challenged with a novel antigen across multiple phases of treatment. We studied serologic mRNA vaccine response in retrospective and prospective cohorts with lymphoma and CLL, paired with clinical and research immune parameters. Reduced serologic response was observed more frequently during active therapies, but non-response was also common within observation and post-treatment groups. Total IgA and IgM correlated with successful vaccine response. In individuals treated with CART-19, non-response was associated with reduced B and T follicular helper cells. Predictors of vaccine response varied by disease and therapeutic group, and therefore further studies of immune health during and after cancer therapies are needed to allow individualized vaccine timing.

2.
Nat Immunol ; 23(8): 1183-1192, 2022 08.
Artigo em Inglês | MEDLINE | ID: mdl-35902637

RESUMO

Anti-programmed death-1 (anti-PD-1) immunotherapy reinvigorates CD8 T cell responses in patients with cancer but PD-1 is also expressed by other immune cells, including follicular helper CD4 T cells (Tfh) which are involved in germinal centre responses. Little is known, however, about the effects of anti-PD-1 immunotherapy on noncancer immune responses in humans. To investigate this question, we examined the impact of anti-PD-1 immunotherapy on the Tfh-B cell axis responding to unrelated viral antigens. Following influenza vaccination, a subset of adults receiving anti-PD-1 had more robust circulating Tfh responses than adults not receiving immunotherapy. PD-1 pathway blockade resulted in transcriptional signatures of increased cellular proliferation in circulating Tfh and responding B cells compared with controls. These latter observations suggest an underlying change in the Tfh-B cell and germinal centre axis in a subset of immunotherapy patients. Together, these results demonstrate dynamic effects of anti-PD-1 therapy on influenza vaccine responses and highlight analytical vaccination as an approach that may reveal underlying immune predisposition to adverse events.


Assuntos
Vacinas contra Influenza , Adulto , Humanos , Imunidade Humoral , Estações do Ano , Linfócitos T Auxiliares-Indutores , Vacinação
3.
Immunity ; 54(9): 2133-2142.e3, 2021 09 14.
Artigo em Inglês | MEDLINE | ID: mdl-34453880

RESUMO

SARS-CoV-2 mRNA vaccines have shown remarkable clinical efficacy, but questions remain about the nature and kinetics of T cell priming. We performed longitudinal antigen-specific T cell analyses on healthy SARS-CoV-2-naive and recovered individuals prior to and following mRNA prime and boost vaccination. Vaccination induced rapid antigen-specific CD4+ T cell responses in naive subjects after the first dose, whereas CD8+ T cell responses developed gradually and were variable in magnitude. Vaccine-induced Th1 and Tfh cell responses following the first dose correlated with post-boost CD8+ T cells and neutralizing antibodies, respectively. Integrated analysis revealed coordinated immune responses with distinct trajectories in SARS-CoV-2-naive and recovered individuals. Last, whereas booster vaccination improved T cell responses in SARS-CoV-2-naive subjects, the second dose had little effect in SARS-CoV-2-recovered individuals. These findings highlight the role of rapidly primed CD4+ T cells in coordinating responses to the second vaccine dose in SARS-CoV-2-naive individuals.


Assuntos
Linfócitos T CD8-Positivos/imunologia , Vacinas contra COVID-19/imunologia , COVID-19/imunologia , SARS-CoV-2/fisiologia , Células Th1/imunologia , Vacina de mRNA-1273 contra 2019-nCoV , Adulto , Anticorpos Neutralizantes/sangue , Anticorpos Antivirais/sangue , Antígenos CD/metabolismo , Antígenos de Diferenciação de Linfócitos T/metabolismo , Vacina BNT162 , Feminino , Humanos , Imunidade Celular , Imunidade Humoral , Imunização Secundária , Memória Imunológica , Lectinas Tipo C/metabolismo , Ativação Linfocitária , Masculino , Pessoa de Meia-Idade , Peptídeos/imunologia , Glicoproteína da Espícula de Coronavírus/imunologia , Vacinação , Adulto Jovem
4.
Nat Med ; 27(7): 1280-1289, 2021 07.
Artigo em Inglês | MEDLINE | ID: mdl-34017137

RESUMO

Patients with cancer have high mortality from coronavirus disease 2019 (COVID-19), and the immune parameters that dictate clinical outcomes remain unknown. In a cohort of 100 patients with cancer who were hospitalized for COVID-19, patients with hematologic cancer had higher mortality relative to patients with solid cancer. In two additional cohorts, flow cytometric and serologic analyses demonstrated that patients with solid cancer and patients without cancer had a similar immune phenotype during acute COVID-19, whereas patients with hematologic cancer had impairment of B cells and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific antibody responses. Despite the impaired humoral immunity and high mortality in patients with hematologic cancer who also have COVID-19, those with a greater number of CD8 T cells had improved survival, including those treated with anti-CD20 therapy. Furthermore, 77% of patients with hematologic cancer had detectable SARS-CoV-2-specific T cell responses. Thus, CD8 T cells might influence recovery from COVID-19 when humoral immunity is deficient. These observations suggest that CD8 T cell responses to vaccination might provide protection in patients with hematologic cancer even in the setting of limited humoral responses.


Assuntos
Linfócitos T CD8-Positivos/imunologia , COVID-19/imunologia , Neoplasias Hematológicas/imunologia , Neoplasias/imunologia , Idoso , Anticorpos Antivirais/imunologia , Linfócitos B/imunologia , COVID-19/complicações , COVID-19/mortalidade , Estudos de Coortes , Feminino , Neoplasias Hematológicas/complicações , Humanos , Imunidade Celular/imunologia , Imunidade Humoral/imunologia , Imunofenotipagem , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Neoplasias/complicações , Modelos de Riscos Proporcionais , Estudos Prospectivos , SARS-CoV-2 , Taxa de Sobrevida
5.
Res Sq ; 2021 Feb 02.
Artigo em Inglês | MEDLINE | ID: mdl-33564756

RESUMO

Cancer patients have increased morbidity and mortality from Coronavirus Disease 2019 (COVID-19), but the underlying immune mechanisms are unknown. In a cohort of 100 cancer patients hospitalized for COVID-19 at the University of Pennsylvania Health System, we found that patients with hematologic cancers had a significantly higher mortality relative to patients with solid cancers after accounting for confounders including ECOG performance status and active cancer status. We performed flow cytometric and serologic analyses of 106 cancer patients and 113 non-cancer controls from two additional cohorts at Penn and Memorial Sloan Kettering Cancer Center. Patients with solid cancers exhibited an immune phenotype similar to non-cancer patients during acute COVID-19 whereas patients with hematologic cancers had significant impairment of B cells and SARS-CoV-2-specific antibody responses. High dimensional analysis of flow cytometric data revealed 5 distinct immune phenotypes. An immune phenotype characterized by CD8 T cell depletion was associated with a high viral load and the highest mortality of 71%, among all cancer patients. In contrast, despite impaired B cell responses, patients with hematologic cancers and preserved CD8 T cells had a lower viral load and mortality. These data highlight the importance of CD8 T cells in acute COVID-19, particularly in the setting of impaired humoral immunity. Further, depletion of B cells with anti-CD20 therapy resulted in almost complete abrogation of SARS-CoV-2-specific IgG and IgM antibodies, but was not associated with increased mortality compared to other hematologic cancers, when adequate CD8 T cells were present. Finally, higher CD8 T cell counts were associated with improved overall survival in patients with hematologic cancers. Thus, CD8 T cells likely compensate for deficient humoral immunity and influence clinical recovery of COVID-19. These observations have important implications for cancer and COVID-19-directed treatments, immunosuppressive therapies, and for understanding the role of B and T cells in acute COVID-19.

6.
J Biol Chem ; 285(22): 17054-64, 2010 May 28.
Artigo em Inglês | MEDLINE | ID: mdl-20356837

RESUMO

Selective androgen receptor modulators (SARMs) are androgen receptor (AR) ligands that induce anabolism while having reduced effects in reproductive tissues. In various experimental contexts SARMs fully activate, partially activate, or even antagonize the AR, but how these complex activities translate into tissue selectivity is not known. Here, we probed receptor function using >1000 synthetic AR ligands. These compounds produced a spectrum of activities in each assay ranging from 0 to 100% of maximal response. By testing different classes of compounds in ovariectomized rats, we established that ligands that transactivated a model promoter 40-80% of an agonist, recruited the coactivator GRIP-1 <15%, and stabilized the N-/C-terminal interdomain interaction <7% induced bone formation with reduced effects in the uterus and in sebaceous glands. Using these criteria, multiple SARMs were synthesized including MK-0773, a 4-aza-steroid that exhibited tissue selectivity in humans. Thus, AR activated to moderate levels due to reduced cofactor recruitment, and N-/C-terminal interactions produce a fully anabolic response, whereas more complete receptor activation is required for reproductive effects. This bimodal activation provides a molecular basis for the development of SARMs.


Assuntos
Androgênios/metabolismo , Azasteroides/farmacologia , Antagonistas de Hormônios/farmacologia , Receptores Androgênicos/química , Transcrição Gênica , Animais , Azasteroides/química , Células COS , Linhagem Celular Tumoral , Química Farmacêutica/métodos , Chlorocebus aethiops , Desenho de Fármacos , Feminino , Humanos , Ligantes , Masculino , Modelos Biológicos , Estrutura Terciária de Proteína , Ratos , Receptores Citoplasmáticos e Nucleares/metabolismo , Esteroides/metabolismo , Ativação Transcricional
7.
Bioorg Med Chem Lett ; 15(6): 1675-81, 2005 Mar 15.
Artigo em Inglês | MEDLINE | ID: mdl-15745820

RESUMO

The discovery, synthesis, and SAR of chromanes as ER alpha subtype selective ligands are described. X-ray studies revealed that the origin of the ER alpha-selectivity resulted from a C-4 trans methyl substitution to the cis-2,3-diphenyl-chromane platform. Selected compounds from this class demonstrated very potent in vivo antagonism of estradiol in an immature rat uterine weight assay, effectively inhibited ovariectomy-induced bone resorption in a 42 days treatment paradigm, and lowered serum cholesterol levels in ovx'd adult rat models. The best antagonists 8F and 12F also exhibited potent inhibition of MCF-7 cell growth and were shown to be estrogen receptor down-regulators (SERDs).


Assuntos
Cromanos/química , Cromanos/farmacologia , Receptor alfa de Estrogênio/metabolismo , Moduladores Seletivos de Receptor Estrogênico/química , Moduladores Seletivos de Receptor Estrogênico/farmacologia , Animais , Sítios de Ligação , Linhagem Celular , Feminino , Expressão Gênica/efeitos dos fármacos , Humanos , Ligantes , Modelos Químicos , Estrutura Molecular , Tamanho do Órgão , Ligação Proteica , Ratos , Ratos Sprague-Dawley , Relação Estrutura-Atividade , Útero/efeitos dos fármacos
8.
J Biol Chem ; 279(2): 1310-22, 2004 Jan 09.
Artigo em Inglês | MEDLINE | ID: mdl-14576152

RESUMO

The androgen receptor (AR), when complexed with 5alpha-dihydrotestosterone (DHT), supports the survival and proliferation of prostate cells, a process critical for normal development, benign prostatic hypertrophy, and tumorigenesis. However, the androgen-responsive genetic pathways that control prostate cell division and differentiation are largely unknown. To identify such pathways, we examined gene expression in the ventral prostate 6 and 24 h after DHT administration to androgen-depleted rats. 234 transcripts were expressed significantly differently from controls (p < 0.05) at both time points and were subjected to extensive data mining. Functional clustering of the data reveals that the majority of these genes can be classified as participating in induction of secretory activity, metabolic activation, and intracellular signaling/signal transduction, indicating that AR rapidly modulates the expression of genes involved in proliferation and differentiation in the prostate. Notably AR represses the expression of several key cell cycle inhibitors, while modulating members of the wnt and notch signaling pathways, multiple growth factors, and peptide hormone signaling systems, and genes involved in MAP kinase and calcium signaling. Analysis of these data also suggested that p53 activity is negatively regulated by AR activation even though p53 RNA was unchanged. Experiments in LNCaP prostate cancer cells reveal that AR inhibits p53 protein accumulation in the nucleus, providing a post-transcriptional mechanism by which androgens control prostate cell growth and survival. In summary these data provide a comprehensive view of the earliest events in AR-mediated prostate cell proliferation in vivo, and suggest that nuclear exclusion of p53 is a critical step in prostate growth.


Assuntos
Di-Hidrotestosterona/farmacologia , Regulação da Expressão Gênica , Próstata/metabolismo , Receptores Androgênicos/metabolismo , Androgênios/farmacologia , Animais , Sítios de Ligação , Divisão Celular , Núcleo Celular/metabolismo , Sobrevivência Celular , Células Cultivadas , Biologia Computacional , DNA Complementar/metabolismo , Masculino , Microscopia de Fluorescência , Família Multigênica , Análise de Sequência com Séries de Oligonucleotídeos , Peptídeos/química , RNA Mensageiro/metabolismo , Ratos , Reação em Cadeia da Polimerase Via Transcriptase Reversa , Transdução de Sinais , Fatores de Tempo , Proteína Supressora de Tumor p53/metabolismo
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