诊断前八年血清中与肺癌相关的有希望的微RNA:HUNT研究。

IF 2.7 3区 医学 Q3 ONCOLOGY Journal of Cancer Research and Clinical Oncology Pub Date : 2024-07-20 DOI:10.1007/s00432-024-05882-4
Ioannis Fotopoulos, Olav Toai Duc Nguyen, Therese Haugdahl Nøst, Maria Markaki, Vincenzo Lagani, Robin Mjelle, Torkjel Manning Sandanger, Pål Sætrom, Ioannis Tsamardinos, Oluf Dimitri Røe
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引用次数: 0

摘要

导言:用于早期检测肺癌(LC)的血液生物标记物需求量很大。对后来罹患肺癌的无症状受试者血清中全部 microRNA 组的研究很少。在此,我们从诊断前八年的非癌症、曾经吸烟人群的血液中寻找新型 microRNA 生物标记物:方法:我们首先考虑了来自两项前瞻性人群研究(HUNT2 和 HUNT3)的 98,737 名受试者的血清样本。病例的纳入标准是:曾经吸烟;研究开始时未发现癌症;从采血到确诊为 LC 的时间为 0-8 年。每个未来的肺癌病例都有一个与性别、研究开始时的年龄、吸烟包年、戒烟时间和相似的 HUNT 肺癌模型风险评分相匹配的对照。发现数据集(HUNT2)和验证数据集(HUNT3)分别包含 240 份和 72 份血清样本,并采用新一代测序技术进行分析。此外,还在前瞻性人群研究 NOWAC(n = 266)和 NSHDS(n = 258)的两个诊断前血浆数据集中测试了经过验证的血清 microRNA。此外,还开发并验证了一个添加临床变量的新模型:结果:当所有病例与所有对照组进行对比时,在诊断前血清数据集中发现并验证了 15 个独特的 microRNA,其 AUC 均大于 0.60。将 15 个 microRNAs 组合成一个特征,AUC 达到 0.708(发现)和 0.703(验证)。由 6 个 microRNA 组成的非小细胞肺癌特征的 AUC 为 0.777(发现)和 0.806(验证)。结合 HUNT 肺癌模型的临床变量(年龄、性别、烟包年数、一年中每天咳嗽的次数、室内烟雾暴露时数、戒烟时间(年)、每天吸烟支数、体重指数(BMI)),AUC 达到 0.790(发现)和 0.833(验证)。这些结果无法在血浆样本中得到验证:结论:在诊断前八年的血清中,有一些微RNA的表达存在明显差异。这些有前景的微RNA单独、协同或与临床变量相结合,有可能成为早期诊断 LC 的生物标志物。血浆不适合进行这种分析。需要在更大的前瞻性血清数据集中进行进一步验证。
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Promising microRNAs in pre-diagnostic serum associated with lung cancer up to eight years before diagnosis: a HUNT study.

Introduction: Blood biomarkers for early detection of lung cancer (LC) are in demand. There are few studies of the full microRNome in serum of asymptomatic subjects that later develop LC. Here we searched for novel microRNA biomarkers in blood from non-cancer, ever-smokers populations up to eight years before diagnosis.

Methods: Serum samples from 98,737 subjects from two prospective population studies, HUNT2 and HUNT3, were considered initially. Inclusion criteria for cases were: ever-smokers; no known cancer at study entrance; 0-8 years from blood sampling to LC diagnosis. Each future LC case had one control matched to sex, age at study entrance, pack-years, smoking cessation time, and similar HUNT Lung Cancer Model risk score. A total of 240 and 72 serum samples were included in the discovery (HUNT2) and validation (HUNT3) datasets, respectively, and analysed by next-generation sequencing. The validated serum microRNAs were also tested in two pre-diagnostic plasma datasets from the prospective population studies NOWAC (n = 266) and NSHDS (n = 258). A new model adding clinical variables was also developed and validated.

Results: Fifteen unique microRNAs were discovered and validated in the pre-diagnostic serum datasets when all cases were contrasted against all controls, all with AUC > 0.60. In combination as a 15-microRNAs signature, the AUC reached 0.708 (discovery) and 0.703 (validation). A non-small cell lung cancer signature of six microRNAs showed AUC 0.777 (discovery) and 0.806 (validation). Combined with clinical variables of the HUNT Lung Cancer Model (age, gender, pack-years, daily cough parts of the year, hours of indoor smoke exposure, quit time in years, number of cigarettes daily, body mass index (BMI)) the AUC reached 0.790 (discovery) and 0.833 (validation). These results could not be validated in the plasma samples.

Conclusion: There were a few significantly differential expressed microRNAs in serum up to eight years before diagnosis. These promising microRNAs alone, in concert, or combined with clinical variables have the potential to serve as early diagnostic LC biomarkers. Plasma is not suitable for this analysis. Further validation in larger prospective serum datasets is needed.

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期刊介绍: The "Journal of Cancer Research and Clinical Oncology" publishes significant and up-to-date articles within the fields of experimental and clinical oncology. The journal, which is chiefly devoted to Original papers, also includes Reviews as well as Editorials and Guest editorials on current, controversial topics. The section Letters to the editors provides a forum for a rapid exchange of comments and information concerning previously published papers and topics of current interest. Meeting reports provide current information on the latest results presented at important congresses. The following fields are covered: carcinogenesis - etiology, mechanisms; molecular biology; recent developments in tumor therapy; general diagnosis; laboratory diagnosis; diagnostic and experimental pathology; oncologic surgery; and epidemiology.
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