Bruno Köhler, Marta Bes, Henry Lik-Yuen Chan, Juan Ignacio Esteban, Teerha Piratvisuth, Wattana Sukeepaisarnjaroen, Tawesak Tanwandee, Satawat Thongsawat, Anika Mang, David Morgenstern, Magdalena Swiatek-de Lange, Farshid Dayyani
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This exploratory analysis aimed to identify individual- and combinations of serum biomarkers to distinguish CCA from hepatocellular carcinoma (HCC) and chronic liver disease (CLD) controls using samples from a published study.</p><p><strong>Methods: </strong>This prospective, multicenter, case-control study included patients aged ≥18 years at high-risk of HCC. Serum and ethylene diamine tetraacetic acid-plasma samples were collected prior to any treatment and confirmed diagnosis of HCC or CCA. Fourteen biomarkers (measured by electrochemiluminescence immunoassays or enzyme-linked immunosorbent assays) were subjected to univariate analysis and 13 included in a multivariate analysis (per selected combinations and exhaustive search).</p><p><strong>Results: </strong>Overall, 55 CCA, 306 HCC, and 733 CLD control samples were analyzed. For distinguishing CCA from HCC, alpha-fetoprotein and matrix metalloproteinase-2 (MMP-2) showed the best individual performance (area under the curve (AUC) 86.6% and 84.4%, respectively); tissue inhibitor of metalloproteinase-1 (TIMP-1) was most able to distinguish CCA from CLD (AUC 94.5%) and from HCC + CLD (AUC 88.6%). The combination of MMP-2 and TIMP-1 was the best-performing two-marker panel, with AUC >90% for all comparisons.</p><p><strong>Conclusion: </strong>MMP-2 and TIMP-1 are promising biomarkers that could support differential diagnosis of CCA. Incorporating these assays into the diagnostic algorithm could provide additional diagnostic information in a non-invasive, rapid manner, and could supplement existing diagnostic methods.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"107-117"},"PeriodicalIF":2.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new biomarker panel for differential diagnosis of cholangiocarcinoma: Results from an exploratory analysis.\",\"authors\":\"Bruno Köhler, Marta Bes, Henry Lik-Yuen Chan, Juan Ignacio Esteban, Teerha Piratvisuth, Wattana Sukeepaisarnjaroen, Tawesak Tanwandee, Satawat Thongsawat, Anika Mang, David Morgenstern, Magdalena Swiatek-de Lange, Farshid Dayyani\",\"doi\":\"10.1177/03936155241235185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Diagnosis of cholangiocarcinoma (CCA) can be challenging due to unclear imaging criteria and difficulty obtaining adequate tissue biopsy. 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引用次数: 0
摘要
导言:由于影像学标准不明确以及难以获得足够的组织活检,胆管癌(CCA)的诊断具有挑战性。虽然血清癌抗原 19-9 和癌胚抗原被认为是潜在的诊断辅助工具,但由于灵敏度和特异性不足,它们的使用仍然受到限制。这项探索性分析旨在利用一项已发表研究的样本,确定用于区分 CCA 与肝细胞癌(HCC)和慢性肝病(CLD)对照的单个和组合血清生物标志物:这项前瞻性、多中心、病例对照研究纳入了年龄≥18 岁的 HCC 高危患者。在接受任何治疗并确诊为 HCC 或 CCA 之前,采集血清和乙二胺四乙酸血浆样本。对 14 种生物标志物(通过电化学发光免疫分析法或酶联免疫吸附分析法测量)进行了单变量分析,并将 13 种生物标志物纳入多变量分析(根据选定的组合和详尽的搜索):结果:共分析了 55 个 CCA、306 个 HCC 和 733 个 CLD 对照样本。在区分 CCA 和 HCC 时,甲胎蛋白和基质金属蛋白酶-2(MMP-2)显示出最佳的个体性能(曲线下面积(AUC)分别为 86.6% 和 84.4%);金属蛋白酶组织抑制剂-1(TIMP-1)最能区分 CCA 和 CLD(AUC 94.5%)以及 HCC + CLD(AUC 88.6%)。MMP-2和TIMP-1的组合是效果最好的双标记物面板,所有比较的AUC均大于90%:结论:MMP-2 和 TIMP-1 是很有前景的生物标记物,可支持 CCA 的鉴别诊断。结论:MMP-2 和 TIMP-1 是很有前途的生物标记物,可支持 CCA 的鉴别诊断。将这些检测方法纳入诊断算法可提供无创、快速的额外诊断信息,并可补充现有的诊断方法。
A new biomarker panel for differential diagnosis of cholangiocarcinoma: Results from an exploratory analysis.
Introduction: Diagnosis of cholangiocarcinoma (CCA) can be challenging due to unclear imaging criteria and difficulty obtaining adequate tissue biopsy. Although serum cancer antigen 19-9 and carcinoembryonic antigen have been proposed as potential diagnostic aids, their use remains limited by insufficient sensitivity and specificity. This exploratory analysis aimed to identify individual- and combinations of serum biomarkers to distinguish CCA from hepatocellular carcinoma (HCC) and chronic liver disease (CLD) controls using samples from a published study.
Methods: This prospective, multicenter, case-control study included patients aged ≥18 years at high-risk of HCC. Serum and ethylene diamine tetraacetic acid-plasma samples were collected prior to any treatment and confirmed diagnosis of HCC or CCA. Fourteen biomarkers (measured by electrochemiluminescence immunoassays or enzyme-linked immunosorbent assays) were subjected to univariate analysis and 13 included in a multivariate analysis (per selected combinations and exhaustive search).
Results: Overall, 55 CCA, 306 HCC, and 733 CLD control samples were analyzed. For distinguishing CCA from HCC, alpha-fetoprotein and matrix metalloproteinase-2 (MMP-2) showed the best individual performance (area under the curve (AUC) 86.6% and 84.4%, respectively); tissue inhibitor of metalloproteinase-1 (TIMP-1) was most able to distinguish CCA from CLD (AUC 94.5%) and from HCC + CLD (AUC 88.6%). The combination of MMP-2 and TIMP-1 was the best-performing two-marker panel, with AUC >90% for all comparisons.
Conclusion: MMP-2 and TIMP-1 are promising biomarkers that could support differential diagnosis of CCA. Incorporating these assays into the diagnostic algorithm could provide additional diagnostic information in a non-invasive, rapid manner, and could supplement existing diagnostic methods.
期刊介绍:
IJBM is an international, online only, peer-reviewed Journal, which publishes original research and critical reviews primarily focused on cancer biomarkers. IJBM targets advanced topics regarding the application of biomarkers in oncology and is dedicated to solid tumors in adult subjects. The clinical scenarios of interests are screening and early diagnosis of cancer, prognostic assessment, prediction of the response to and monitoring of treatment.