Department of Pathology, VU University Medical Center, , Amsterdam, The Netherlands.
Thorax. 2014 May;69(5):451-7. doi: 10.1136/thoraxjnl-2013-203821. Epub 2013 Nov 13.
We recently identified a DNA copy number aberration (CNA)-based classifier, including changes at 3p26.3-p11.1, 3q26.2-29, and 6p25.3-24.3, as a risk predictor for cancer in individuals presenting with endobronchial squamous metaplasia. The current study was set out to validate the prediction accuracy of this classifier in an independent series of endobronchial squamous metaplastic and dysplastic lesions. The study included 36 high-risk subjects who had endobronchial lesions of various histological grades that were identified and biopsied by autofluorescence bronchoscopy and were subjected to arrayCGH in a nested case-control design. Of the 36 patients, 12 had a carcinoma in situ or invasive carcinoma at the same site at follow-up (median 11 months, range 4-24), while 24 controls remained cancer free (78 months, range 21-142). The previously defined CNA-based classifier demonstrated 92% (95% CI 77% to 98%) accuracy for cancer (in situ) prediction. All nine subjects with CNA-based classifier-positive endobronchial lesions at baseline experienced cancer outcome, whereas all 24 controls and 3 cases were classified as being low risk. In conclusion, CNAs prove to be a highly accurate biomarker for assessing the progression risk of endobronchial squamous metaplastic and dysplastic lesions. This classifier could assist in selecting subjects with endobronchial lesions who might benefit from more aggressive therapeutic intervention or surveillance.
我们最近确定了一个基于 DNA 拷贝数异常(CNA)的分类器,包括 3p26.3-p11.1、3q26.2-29 和 6p25.3-24.3 的变化,作为具有支气管内鳞状化生的个体癌症风险预测因子。本研究旨在验证该分类器在独立的支气管内鳞状化生和发育不良病变系列中的预测准确性。该研究包括 36 名高危患者,他们的支气管病变具有不同的组织学等级,这些病变通过自发荧光支气管镜识别和活检,并在巢式病例对照设计中进行了 arrayCGH。在 36 名患者中,有 12 名在随访时(中位时间为 11 个月,范围为 4-24)在同一部位患有原位癌或浸润性癌,而 24 名对照者保持无癌(78 个月,范围为 21-142)。先前定义的基于 CNA 的分类器对癌症(原位)预测的准确率为 92%(95%CI 为 77%-98%)。所有 9 名基线时基于 CNA 的分类器阳性的支气管内病变患者均经历了癌症结局,而所有 24 名对照者和 3 例均被归类为低风险。总之,CNA 被证明是评估支气管内鳞状化生和发育不良病变进展风险的高度准确的生物标志物。该分类器可用于选择可能受益于更积极治疗干预或监测的具有支气管内病变的患者。