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首页> 外文期刊>Lung cancer: Journal of the International Association for the Study of Lung Cancer >Integration of multiple 'OMIC' biomarkers: A precision medicine strategy for lung cancer
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Integration of multiple 'OMIC' biomarkers: A precision medicine strategy for lung cancer

机译:多重“室内”生物标志物的整合:肺癌的精确药物策略

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摘要

More than half of all new lung cancer diagnoses are made in patients with locally advanced or metastatic disease, at which point therapeutic options are scarce. It is anticipated, however, that the widespread use of Low-Dose Computed Tomography (LDCT) screening, will lead to a greater proportion of lung cancers being diagnosed at an early, operable, stage. Still, the overall rate of recurrence for surgically treated Stage I lung cancer patients is up to 30% within 5 years of diagnosis. Thus, the identification and clinical application of biomarkers of early stage lung cancer are a pressing medical need. The integrative analysis of "omic," clinical and epidemiological data for single patients is a core principle of precision medicine. Through rigorous bioinformatics and statistical analyses we have identified biomarkers of early-stage lung cancer based on DNA methylation, expression of mRNA and miRNA, inflammatory cytokines, and urinary metabolites. Beyond a more comprehensive understanding of the molecular taxonomy of lung cancer, these biomarkers can have very practical implications in the context of unmet clinical needs of early stage lung cancer patients: First, current guidelines for LDCT screening broadly include individuals based on age and history of heavy smoking. Tumor-derived circulating biomarkers in the blood and urine associated with lung cancer risk could narrow and prioritize individuals for LDCT screening. Second, a high number of nodules are identified by LDCT, of which fewer than 5% are finally diagnosed as lung cancer. Biomarkers may help discriminate malignant nodules from benign or indolent lesions. Third, the expected rise in the numbers of lung cancer patients diagnosed at an early stage will necessitate new treatment options. Circulating, urinary and tissue-based biomarkers that molecularly categorize Stage I patients after tumor resection can help identify high-risk patients who may benefit from adjuvant chemotherapy or innovative immunotherapy regimens. Published by Elsevier Ireland Ltd.
机译:患有局部晚期或转移性疾病的患者中,所有新的肺癌诊断的一半以上,目的是治疗方法稀缺。然而,预期,低剂量计算断层扫描(LDCT)筛选的广泛使用将导致更大比例的肺癌被诊断为早期,可操作的阶段。尽管如此,手术治疗阶段的总体复发率肺癌患者在诊断后的5年内高达30%。因此,早期肺癌的生物标志物的鉴定和临床应用是一种压迫药物。单一患者的“OMIC”的临床和流行病学数据的综合分析是一种精密药物的核心原理。通过严谨的生物信息学和统计分析,我们已经基于DNA甲基化,mRNA和miRNA,炎症细胞因子和尿代谢物的表达鉴定了早期肺癌的生物标志物。除了对肺癌分子分类的更全面的了解之外,这些生物标志物可以在早期肺癌患者的未满足临床需求方面具有非常实际的影响:第一,LDCT筛查的目前的准则主要包括基于年龄和历史的个人沉重的吸烟。与肺癌风险相关的血液和尿液中的肿瘤源循环生物标志物可能缩小并优先考虑LDCT筛查的个体。其次,LDCT鉴定了大量结节,其中少于5%最终被诊断为肺癌。生物标志物可以帮助区分恶性结节来自良性或惰性病变。第三,在早期诊断患者诊断的肺癌患者的数量增加将需要新的治疗方案。在肿瘤切除术后,分子分类患者的循环,泌尿和组织生物标志物可以帮助识别可能从佐剂化疗或创新的免疫治疗方案中受益的高风险患者。 elsevier爱尔兰有限公司出版

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