抗生素对非小细胞肺癌的发展和治疗的影响。

Polish journal of microbiology Pub Date : 2023-12-16 eCollection Date: 2023-12-01 DOI:10.33073/pjm-2023-047
Petra Švecová, Petr Jakubec, Jozef Škarda, Veronika Glogarová, Marcel Mitták
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引用次数: 0

摘要

有研究表明,抗生素的使用与肺癌及其对致癌和微生物组的潜在影响有关。然而,随后的研究未能一致支持这些关联。就抗生素对肺癌的潜在致癌性而言,现有证据还不足以得出任何明确的结论。维持免疫平衡和防止病原体入侵在很大程度上取决于微生物群。包括肺部在内的人体微生物群的微妙平衡很容易被抗生素的使用所破坏。肺部微生物群的破坏与呼吸系统疾病(包括肺癌)和治疗效果下降之间存在关联。肺癌患者通常因呼吸道感染或其他合并症而需要接受抗生素治疗。未发现肺部肿瘤区域的肺部感染并不少见。它们可能是恶性肿瘤的早期征兆,这可能解释了抗生素使用与肺癌诊断之间的关联。使用抗生素还会影响免疫检查点抑制剂治疗的效果。研究表明,使用抗生素会影响肺癌患者接受免疫检查点抑制剂治疗的疗效,尤其是在开始治疗的前后。这些研究结果需要进一步研究,了解其潜在机制,并确定与治疗反应相关的微生物群特征。
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The Effects of Antibiotics on the Development and Treatment of Non-Small Cell Lung Cancer.

There have been studies on antibiotic use concerning lung cancer and its potential impact on carcinogenesis and microbiome. However, subsequent research has failed to support these associations consistently. In terms of the potential carcinogenic of antibiotics on lung cancer, the available evidence has not been sufficient to draw any definitive conclusions. Maintaining immune homeostasis and preventing pathogen invasion is critically dependent on the microbiome. The subtle balance of the body microbiota, including the lungs, is susceptible to disruption by antibiotic use. There is an association between disruptions of the lung microbiome and respiratory diseases, including lung cancer, and decreased efficacy of treatments. Patients with lung cancer are often indicated for antibiotic treatment due to respiratory infections or other comorbidities. Pulmonary infections in the area of undetected lung tumors are not uncommon. They can be an early sign of malignancy, which may explain the association between antibiotic use and lung cancer diagnosis. Antibiotic use can also affect the effectiveness of immune checkpoint inhibitor therapy. Studies suggest that antibiotic use can impair the efficacy of immune checkpoint inhibitor therapy in lung cancer patients, particularly around the time when treatment is initiated. These findings require further study, understanding underlying mechanisms, and identifying microbiota signatures associated with treatment response.

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