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1.
J Interferon Cytokine Res ; 44(3): 99-110, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38488758

RESUMO

Despite the promising results of immunotherapy, further experiments need to be considered because of several factors ranging from physical barriers to off-tumor adverse effects. It is surprising that adoptive cellular immunotherapy, particularly dendritic cell and cytokine-induced killer (DC-CIK) therapy, is far less emphasized in the treatment of cancer diseases. DC-CIK therapy in cancer patients presents auspicious results with low or no side effects, which should not be overlooked. More interestingly, almost all DC-CIK clinical trials are ongoing in China that highlight the limitations of therapeutic strategies and require large-scale research. To date, it is advisable to consider combination therapy with chemotherapy since it has shown promising outcomes with higher efficacy. In this article, the efficacy of DC-CIK therapy in patients with cancer is summarized by underscoring the lack of experiments on soft cancers on an unprecedented scale. In brief, DC-CIK therapy is a safe and effective therapeutic agent for malignant and nonmalignant diseases that enhances short-term and long-term effects.


Assuntos
Células Matadoras Induzidas por Citocinas , Neoplasias , Humanos , Citocinas/uso terapêutico , Neoplasias/terapia , Imunoterapia , Imunoterapia Adotiva/efeitos adversos , Células Dendríticas
2.
Int Immunopharmacol ; 101(Pt B): 108253, 2021 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-34700112

RESUMO

BACKGROUND: Immune checkpoint inhibitors (ICIs) are standard therapies for patients with advanced lung adenocarcinoma and significantly improve treatment outcomes. The effect of tobacco smoking on the response of immune checkpoint inhibitors is somewhat diverging. Here, we assessed the impact of tobacco exposure on the tumor microenvironment and developed a feasible tool for predicting prognosis. METHODS: Whole exon sequence data and the corresponding clinical information were downloaded from the Cancer Genome Atlas. The signature was developed by the Random Forest algorithm. CIBERSORTx online tool was used to estimate immune infiltration. Functional assays were performed to assess the roles of tobacco exposure in cancer cells. Immunohistochemistry (IHC) was performed to identify and validate the immune activation status. RESULTS: The TMB of lifelong non-smoker, current reformed smoker for over 15 years, current reformed smoker<15 years and current smoker had a significantly increasing trend in LUAD patients. In vitro tobacco exposure promoted the expression of PD-L1 and malignant phenotype of LUAD cells. In addition, patients with high Random Forest score (RFscore) had a poorer prognosis than those with low RFscore. The ROC curve analysis of RFscore revealed a promising prognostic capability. Memory activated CD4 + T cells, CD8 + t cells and memory B cells were noticeably enriched in the high RFscore group and PDCD1 appreciably upregulated in the high RFscore group as well. Furthermore, IHC results suggested that patients with high RFscore remained an immune activation status, indicating a positive correlation between RFscore and patient's immune status. CONCLUSION: Our analysis provides further insight into the profound impacts of tobacco exposure on tumor immune microenvironment and envisions integrative predictive models of RFscore, predicting the prognosis of smoking lung adenocarcinoma, which might help to understand the potential mechanism of smoking exposure on tumor immune microenvironment.


Assuntos
Adenocarcinoma/imunologia , Subpopulações de Linfócitos B/imunologia , Neoplasias Pulmonares/imunologia , Linfócitos T/imunologia , Fumar Tabaco/efeitos adversos , Células A549 , Adenocarcinoma/diagnóstico , Adenocarcinoma/mortalidade , Antígeno B7-H1/genética , Antígeno B7-H1/metabolismo , Biomarcadores Tumorais/metabolismo , Biologia Computacional , Conjuntos de Dados como Assunto , Regulação Neoplásica da Expressão Gênica , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Memória Imunológica , Neoplasias Pulmonares/diagnóstico , Neoplasias Pulmonares/mortalidade , Modelos Estatísticos , Prognóstico , Proteômica , Análise de Sobrevida , Microambiente Tumoral
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