RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:A Comprehensive Analysis of Immune Response in Patients with Non-Muscle-Invasive Bladder Cancer.
A Comprehensive Analysis of Immune Response in Patients with Non-Muscle-Invasive Bladder Cancer.
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对 NMIBC 患者宿主免疫反应的分析可能有助于识别特定标志物,从而优化治疗和患者随访。需要进一步研究以建立强有力的预测模型。
膀胱癌因其在局限性疾病中的高复发率和进展率而具有较高的发病率和死亡率。需要更好地理解肿瘤微环境在癌变和治疗反应中的作用。
收集了41例患者的外周血、尿路上皮膀胱癌样本及癌旁健康尿路上皮组织,并按低级别和高级别尿路上皮膀胱癌进行分层,排除肌层浸润或原位癌。分离单核细胞并用抗体标记,用于流式细胞术分析,以识别T淋巴细胞、髓系细胞和NK细胞内的特定亚群。
在外周血和肿瘤样本中,我们检测到不同比例的CD4+和CD8+淋巴细胞、单核细胞和髓源性抑制细胞,以及激活和耗竭相关标志物的差异表达。相反,当比较膀胱和肿瘤样本时,仅发现膀胱总单核细胞显著增加。有趣的是,我们鉴定出在不同结局患者的外周血中差异表达的特定标志物。
Bladder carcinoma has elevated morbimortality due to its high recurrence and progression in localized disease. A better understanding of the role of the tumor microenvironment in carcinogenesis and response to treatment is needed.
Peripheral blood and samples of urothelial bladder cancer and adjacent healthy urothelial tissue were collected from 41 patients and stratified in low- and high-grade urothelial bladder cancer, excluding muscular infiltration or carcinoma in situ. Mononuclear cells were isolated and labeled for flow cytometry analysis with antibodies aimed at identifying specific subpopulations within T lymphocytes, myeloid cells and NK cells.
In peripheral blood and tumor samples, we detected different percentages of CD4+ and CD8+ lymphocytes, monocyte and myeloid-derived suppressor cells, as well as differential expression of activation- and exhaustion-related markers. Conversely, only a significant increase in bladder total monocytes was found when comparing bladder and tumor samples. Interestingly, we identified specific markers differentially expressed in the peripheral blood of patients with different outcomes.
The analysis of host immune response in patients with NMIBC may help to identify specific markers that allow optimizing therapy and patient follow-up. Further investigation is needed to establish a strong predictive model.
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