Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Cancer Epidemiol Biomarkers Prev. 2019 Oct;28(10):1704-1711. doi: 10.1158/1055-9965.EPI-19-0453. Epub 2019 Jul 29.
Liver cancer is the second leading cause of cancer-related deaths worldwide. With a predicted 2.4-fold rise in liver cancer incidence by 2020, there is an urgent need for early, inexpensive diagnostic biomarkers to deploy in the clinic.
We employed ultraperformance liquid chromatography tandem mass-spectrometry (UPLC/MS-MS) for the quantitation of four metabolites, creatine riboside (CR), -acetylneuraminic acid (NANA), cortisol sulfate, and a lipid molecule designated as 561+, in urine samples from the NCI-MD cohort comprising 98 hepatocellular carcinoma (HCC) cases, 101 high-risk subjects, and 95 controls. Validation was carried out in the TIGER-LC cohort [ = 370 HCC and intrahepatic cholangiocarcinoma (ICC) cases, 471 high-risk subjects, 251 controls], where ICC, the second most common primary hepatic malignancy, is highly prevalent. Metabolite quantitation was also conducted in TIGER-LC tissue samples ( = 48 ICC; = 51 HCC).
All profiled metabolites were significantly increased in liver cancer when compared with high-risk subjects and controls in the NCI-MD study. In the TIGER-LC cohort, the four-metabolite profile was superior at classifying ICC than a clinically utilized marker, CA19-9, and their combination led to a significantly improved model (AUC = 0.88, = 4E-8). Metabolites CR and NANA were significantly elevated in ICC when compared with HCC cases in both urine and tissue samples. High levels of CR were associated with poorer prognosis in ICC.
Four metabolites are significantly increased in HCC and ICC and are robust at classifying ICC in combination with the clinically utilized marker CA19-9.
Noninvasive urinary metabolite biomarkers hold promise for diagnostic and prognostic evaluation of ICC.
肝癌是全球癌症相关死亡的第二大主要原因。预计到 2020 年,肝癌发病率将增加 2.4 倍,因此迫切需要在临床上使用早期、廉价的诊断生物标志物。
我们采用超高效液相色谱串联质谱法(UPLC/MS-MS)定量测定了 NCI-MD 队列中 98 例肝细胞癌(HCC)病例、101 例高危人群和 95 例对照者尿液样本中的 4 种代谢物(肌酸核糖苷(CR)、N-乙酰神经氨酸(NANA)、皮质醇硫酸盐和一种脂质分子 561+)。在 TIGER-LC 队列 [=370 例 HCC 和肝内胆管癌(ICC)病例、471 例高危人群、251 例对照者]中进行了验证,该队列中 ICC(第二大常见原发性肝恶性肿瘤)的患病率很高。还对 TIGER-LC 组织样本(=48 例 ICC;=51 例 HCC)进行了代谢物定量分析。
与 NCI-MD 研究中的高危人群和对照者相比,所有分析的代谢物在肝癌患者中均显著升高。在 TIGER-LC 队列中,与临床上常用的标志物 CA19-9 相比,四代谢物谱在分类 ICC 方面更具优势,两者结合可显著提高模型(AUC=0.88,=4E-8)。与 HCC 病例相比,在尿液和组织样本中,ICC 病例的代谢物 CR 和 NANA 均显著升高。CR 水平高与 ICC 的预后较差相关。
四种代谢物在 HCC 和 ICC 中显著升高,与临床上常用的标志物 CA19-9 联合使用可准确分类 ICC。
非侵入性尿代谢生物标志物有望用于 ICC 的诊断和预后评估。