Chen Hongda, Qian Jing, Werner Simone, Cuk Katarina, Knebel Phillip, Brenner Hermann
Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Program Office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Clin Epidemiol. 2017 Oct 31;9:517-526. doi: 10.2147/CLEP.S144171. eCollection 2017.
Reliable noninvasive biomarkers for early detection of colorectal cancer (CRC) are highly desirable for efficient population-based screening with high adherence rates. We aimed to discover and validate blood-based protein markers for the early detection of CRC.
A two-stage design with a discovery and a validation set was used. In the discovery phase, plasma levels of 92 protein markers and serum levels of TP53 autoantibody were measured in 226 clinically recruited CRC patients and 118 controls who were free of colorectal neoplasms at screening colonoscopy. An algorithm predicting the presence of CRC was derived by Lasso regression and validated in a validation set consisting of all available 41 patients with CRC and a representative sample of 106 participants with advanced adenomas and 107 controls free of neoplasm from a large screening colonoscopy cohort (N=6018). Receiver operating characteristic (ROC) analyses were conducted to evaluate the diagnostic performance of individual biomarkers and biomarker combinations.
An algorithm based on growth differentiation factor 15 (GDF-15), amphiregulin (AREG), Fas antigen ligand (FasL), Fms-related tyrosine kinase 3 ligand (Flt3L) and TP53 autoantibody was constructed. In the validation set, the areas under the curves of this five-marker algorithm were 0.82 (95% CI, 0.74-0.90) for detecting CRC and 0.60 (95% CI, 0.52-0.69) for detecting advanced adenomas. At cutoffs yielding 90% specificity, the sensitivities (95% CI) for detecting CRC and advanced adenomas were 56.4% (38.4%-71.8%) and 22.0% (13.4%-35.4%), respectively. The five-marker panel showed similar diagnostic efficacy for the detection of early- and late-stage CRC.
The identified most promising biomarkers could contribute to the development of powerful blood-based tests for CRC screening in the future.
可靠的用于早期检测结直肠癌(CRC)的非侵入性生物标志物对于基于人群的高效筛查且具有高依从率极为重要。我们旨在发现并验证用于早期检测CRC的血液蛋白标志物。
采用两阶段设计,包括发现集和验证集。在发现阶段,对226例临床招募的CRC患者以及118例在筛查结肠镜检查时无结直肠肿瘤的对照者,测定了92种蛋白标志物的血浆水平和TP53自身抗体的血清水平。通过套索回归得出一种预测CRC存在的算法,并在一个验证集中进行验证,该验证集由来自一个大型筛查结肠镜检查队列(N = 6018)的所有41例CRC患者、106例晚期腺瘤参与者的代表性样本以及107例无肿瘤的对照者组成。进行了受试者操作特征(ROC)分析以评估单个生物标志物和生物标志物组合的诊断性能。
构建了一种基于生长分化因子15(GDF - 15)、双调蛋白(AREG)、Fas抗原配体(FasL)、Fms相关酪氨酸激酶3配体(Flt3L)和TP53自身抗体的算法。在验证集中,这种五标志物算法检测CRC的曲线下面积为0.82(95% CI,0.74 - 0.90),检测晚期腺瘤的曲线下面积为0.60(95% CI,0.52 - 0.69)。在产生90%特异性的临界值时,检测CRC和晚期腺瘤的敏感性(95% CI)分别为56.4%(38.4% - 71.8%)和22.0%(13.4% - 35.4%)。该五标志物组合对早期和晚期CRC的检测显示出相似的诊断效能。
所确定的最有前景的生物标志物可能有助于未来开发强大的基于血液的CRC筛查检测方法。