CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CAR-T(CAR-T)细胞在血液系统恶性肿瘤中的应用推动了这种免疫治疗形式的显著进展。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Predicting infections in patients with haematological malignancies treated with chimeric antigen receptor T-cell therapies: A systematic scoping review and narrative synthesis.
Predicting infections in patients with haematological malignancies treated with chimeric antigen receptor T-cell therapies: A systematic scoping review and narrative synthesis.
分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。
由于感染定义和风险因素存在显著异质性,以及小型、检验效能不足的队列研究,目前无法对现有文献进行 meta 分析。我们需要从根本上修订报告新型疗法感染的方式,以及时识别接受新型疗法患者的感染信号和相关风险。在 CAR-T 治疗患者中,既往治疗、中性粒细胞减少、类固醇给药和免疫效应细胞相关神经毒性仍然与感染最相关。
CAR-T 细胞(CAR-T 细胞)越来越多地用于治疗血液系统恶性肿瘤。预防CAR-T 治疗患者感染的策略依赖于专家意见和共识指南。
本范围综述旨在识别接受CAR-T 治疗的血液恶性肿瘤患者发生感染的危险因素。
通过 MEDLINE、EMBASE 和 Cochrane 进行文献检索,以识别从建库至 2022 年 9 月 30 日的相关研究。研究资格标准:试验和观察性研究均符合条件。研究需包含 10 例因血液系统恶性肿瘤接受治疗的患者,报告感染事件(按研究定义),并且要么 (a) 对感染事件与感染危险因素之间的关系进行描述性、单变量或多变量分析,要么 (b) 在 CAR-T 治疗且发生感染的患者中评估生化/免疫学标志物的诊断性能。按照 PRISMA 指南进行了范围综述。通过 MEDLINE、EMBASE 和 Cochrane 进行文献检索,以识别从建库至 2022 年 9 月 30 日的相关研究。资格/参与者/干预:试验和观察性研究均符合条件。研究需包含 10 例因血液系统恶性肿瘤接受治疗的患者,报告感染事件(按研究定义),并且要么 A) 对感染事件与感染危险因素之间的关系进行描述性、单变量或多变量分析,要么 B) 在 CAR-T 治疗且发生感染的患者中评估生化/免疫学标志物的诊断性能。偏倚风险评估:根据 Joanna Brigg's Institute 观察性研究标准进行偏倚评估。数据合成方法:由于报告异质性,数据以描述性方式合成。
共纳入15项研究中的1522例患者。血液系统恶性肿瘤中的全因感染与既往治疗线数、类固醇使用、免疫效应细胞相关神经毒性和治疗中出现的中性粒细胞减少症相关。降钙素原、C反应蛋白和细胞因子谱不能可靠预测感染。病毒、细菌和真菌感染的预测因素研究不足。
Chimeric antigen receptor T cells (CAR-T cells) are increasingly used to treat haematological malignancies. Strategies for preventing infections in CAR-T-treated patients rely on expert opinions and consensus guidelines.
This scoping review aimed to identify risk factors for infections in CAR-T-treated patients with haematological malignancies. DATA SOURCES: A literature search utilized MEDLINE, EMBASE and Cochrane to identify relevant studies from conception until 30 September 2022. STUDY ELIGIBILITY CRITERIA: Trials and observational studies were eligible. PARTICIPANTS: Studies required 10 patients treated for haematological malignancy to report infection events (as defined by the study), and either (a) a descriptive, univariate or multivariate analysis of the relationship between infections event and a risk factors for infections, or (b) diagnostic performance of a biochemical/immunological marker in CAR-T-treated patients with infection.
A scoping review was conducted in accordance with PRISMA guidelines. DATA SOURCES: A literature search utilised MEDLINE, EMBASE and Cochrane to identify relevant studies from conception until September 30, 2022. Eligibility/Participants/Intervention: Trials and observational studies were eligible. Studies required 10 patients treated for haematological malignancy, to report infection events (as defined by the study), and either A) a descriptive, univariate or multivariate analysis of the relationship between infections event and a risk-factors for infections, or B) diagnostic performance of a biochemical/immunological marker in CAR-T treated patients with infection. ASSESSMENT OF RISK OF BIAS: Bias assessment was undertaken according to Joanna Brigg's Institute criteria for observational studies. METHODS OF DATA SYNTHESIS: Data were synthesized descriptively because of the heterogeneity of reporting.
A total of 1522 patients across 15 studies were identified. All-cause infections across haematological malignancies were associated with lines of prior therapy, steroid administration, immune-effector cell-associated neurotoxicity and treatment-emergent neutropenia. Procalcitonin, C-reactive protein and cytokine profiles did not reliably predict infections. Predictors of viral, bacterial and fungal infections were poorly canvassed. DISCUSSION: Meta-analysis of the current literature is not possible because of significant heterogeneity in definitions of infections and risk factors, and small, underpowered cohort studies. Radical revision of how we approach reporting infections for novel therapies is required to promptly identify infection signals and associated risks in patients receiving novel therapies. Prior therapies, neutropenia, steroid administration and immune-effector cell-associated neurotoxicity remain the most associated with infections in CAR-T-treated patients.
MEMBER ACCOUNT
登录成功会直接打开下一页。