两种血浆多代谢物特征对有风险或疑似胰腺导管腺癌(METAPAC)患者的验证:一项前瞻性、多中心、研究者隐藏、浓缩设计、4期诊断研究

IF 30.9 1区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Ujjwal M Mahajan, Bettina Oehrle, Elisabetta Goni, Oliver Strobel, Jörg Kaiser, Robert Grützmann, Jens Werner, Helmut Friess, Thomas M Gress, Thomas W Seufferlein, Waldemar Uhl, Uwe Will, John P Neoptolemos, Uwe A Wittel, Marlies Vornhülz, Simon Sirtl, Georg Beyer, Ivonne Regel, Stefan Boeck, Volker Heinemann, Jochen Wedemeyer
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引用次数: 0

摘要

早期诊断胰腺导管腺癌是提高这种难以治疗的癌症患者总生存率的关键。我们独立验证了两个先前确定的基于血浆的代谢特征,用于在年风险增加的队列中排除胰腺导管腺癌。方法METAPAC研究是一项前瞻性、多中心、研究者隐藏、浓缩设计、在德国23个中心进行的4期试验。招募经影像学诊断为胰腺病变,需要进一步诊断评估的患者,随访24个月。在液相色谱-串联质谱平台上进行靶向定量血浆代谢物分析。改良代谢(i-Metabolic)标记由12个分析物加碳水化合物抗原(CA) 19-9组成,简约代谢(m-Metabolic)标记由4个分析物加CA 19-9组成。该研究的主要终点是排除胰腺导管腺癌,其特异性为85%,诊断准确性最高。所有统计分析均按方案进行。本研究已在德国临床试验注册中心(DRKS00010866)注册。在2016年9月9日至2022年4月8日期间,筛选了1370例ct识别的需要进一步诊断评估的胰腺病变患者,其中1129例(489例为胰腺导管腺癌,640例为对照组)纳入初步分析(中位年龄67岁[IQR 58-75];556例[49%]女性,572例[51%]男性)。对照组包括急性胰腺炎(1129名参与者中11名[1%])、慢性胰腺炎(113名[10%])、导管内乳头状黏液性肿瘤(232名[21%])、导管内乳头状黏液性肿瘤以外的囊性病变(271名[24%])和胰腺外转移(13名[1%])的高危个体。与单独使用CA 19-9 (AUC 0.799 [0.797 - 0.802], p< 0.0001; 0.0001;特异性79.1% [78.7 - 79.4];灵敏度81.8 % [81.5 - 80.2];平衡精度806%[804 - 809])。m-代谢特征检测胰腺导管腺癌,AUC为0.846 (95% CI为0.842 - 0.849;p<; 0.0001 vs单独CA 19-9),特异性为93.6%(93.1 - 99.4),敏感性为59.9%(59.3 - 60.4),准确性为79.0%(78.8 - 79.2)。在242例新发糖尿病患者(3例发生胰管腺癌)中,m-代谢特征(不含CA 19-9)显著区分了胰管腺癌患者(p= 0.038)。随机启动后,AUC、特异性和敏感性保持不变,胰腺导管腺癌的患病率在1%至20%之间。在一项前瞻性现实世界队列研究中,与单独使用CA 19-9相比,两种基于血浆的代谢特征在排除胰腺导管腺癌方面显示出显著改善。这些发现可以为每年患胰腺导管腺癌风险为1%的患者提供一种监测工具,以减少不必要的侵入性手术,并促进早期发现可切除的疾病。联邦教育和研究部(BMBF,德国)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of two plasma multimetabolite signatures for patients at risk of or with suspected pancreatic ductal adenocarcinoma (METAPAC): a prospective, multicentre, investigator-masked, enrichment design, phase 4 diagnostic study

Background

Earlier diagnosis of pancreatic ductal adenocarcinoma is key to improving overall survival in patients with this hard-to-treat cancer. We independently validated two previously identified plasma-based metabolic signatures for exclusion of pancreatic ductal adenocarcinoma in cohorts with an increased annual risk.

Methods

The METAPAC study was a prospective, multicentre, investigator-masked, enrichment design, phase 4 trial done in 23 centres in Germany. Patients with pancreatic lesions identified by diagnostic imaging that required further diagnostic assessment were recruited and followed up for 24 months. Targeted quantitative plasma metabolite analysis was done on a liquid chromatography–tandem mass spectrometry platform. The improved metabolic (i-Metabolic) signature consisted of 12 analytes plus carbohydrate antigen (CA) 19-9, and the minimalistic metabolic (m-Metabolic) signature consisted of four analytes plus CA 19-9. The primary endpoint of the study was the exclusion of pancreatic ductal adenocarcinoma with an 85% specificity and the highest possible diagnostic accuracy. All statistical analyses were done per protocol. This study is registered with the German Clinical Trials Register (DRKS00010866).

Findings

Between Sept 9, 2016, and April 8, 2022, 1370 patients with CT-identified pancreatic lesions necessitating further diagnostic assessment were screened, of whom 1129 patients (489 with pancreatic ductal adenocarcinoma, 640 controls) were included in the primary analysis (median age 67 years [IQR 58–75]; 556 [49%] female, 572 [51%] male). The control group consisted of high-risk individuals with acute pancreatitis (11 [1%] of 1129 participants), chronic pancreatitis (113 [10%]), intraductal papillary mucinous neoplasms (232 [21%]), cystic lesions other than intraductal papillary mucinous neoplasms (271 [24%]), and metastases of extrapancreatic origin (13 [1%]). The i-Metabolic signature detected pancreatic ductal adenocarcinoma with an area under the curve (AUC) of 0·846 (95% CI 0·842–0·849), specificity of 90·4% (89·8–91·1), sensitivity of 67·5% (66·9–68·0), and balanced accuracy of 80·5% (80·2–80·8), compared with CA 19-9 alone (AUC 0·799 [0·797–0·802], p<0·0001; specificity 79·1% [78·7–79·4]; sensitivity 81·8% [81·5–82·0]; balanced accuracy 80·6% [80·4–80·9]). The m-Metabolic signature detected pancreatic ductal adenocarcinoma with an AUC of 0·846 (95% CI 0·842–0·849; p<0·0001 vs CA 19-9 alone), specificity of 93·6% (93·1–94·0), sensitivity of 59·9% (59·3–60·4), and accuracy of 79·0% (78·8–79·2). In a population of 242 individuals with new-onset diabetes (three cases of incident pancreatic ductal adenocarcinoma), the m-Metabolic signature (without CA 19-9) significantly discriminated patients with pancreatic ductal adenocarcinoma from those without (p=0·038). AUC, specificity, and sensitivity remained constant after random bootstrapping for a prevalence of pancreatic ductal adenocarcinoma between 1% and 20%.

Interpretation

Two plasma-based metabolic signatures showed significant improvement in performance compared with CA 19-9 alone in excluding pancreatic ductal adenocarcinoma in a prospective real-world cohort. These findings could offer a surveillance tool in patients with an annual risk of pancreatic ductal adenocarcinoma of 1% to reduce unnecessary invasive procedures and facilitate earlier detection of resectable disease.

Funding

Federal Ministry of Education and Research (BMBF, Germany).
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来源期刊
CiteScore
50.30
自引率
1.10%
发文量
0
期刊介绍: The Lancet Gastroenterology & Hepatology is an authoritative forum for key opinion leaders across medicine, government, and health systems to influence clinical practice, explore global policy, and inform constructive, positive change worldwide. The Lancet Gastroenterology & Hepatology publishes papers that reflect the rich variety of ongoing clinical research in these fields, especially in the areas of inflammatory bowel diseases, NAFLD and NASH, functional gastrointestinal disorders, digestive cancers, and viral hepatitis.
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