Commonality and differences of methylation signatures in the plasma of patients with pancreatic cancer and colorectal cancer

被引:24
|
作者
Melson, Joshua [1 ]
Li, Yan [2 ]
Cassinotti, Elisa [3 ]
Melnikov, Anatoliy [4 ]
Boni, Luigi [3 ]
Ai, Junmei [2 ]
Greenspan, Michael [1 ]
Mobarhan, Sohrab [1 ]
Levenson, Victor [4 ]
Deng, Youping [2 ]
机构
[1] Rush Univ, Med Ctr, Div Digest Dis, Chicago, IL 60612 USA
[2] Rush Univ, Med Ctr, Canc Ctr Quantitat Sci Core, Dept Internal Med,Dept Biochem, Chicago, IL 60612 USA
[3] Univ Insubria, Minimally Invas Surg Res Ctr, Dept Surg Sci, Varese, Italy
[4] US Biomarkers Inc, Buffalo Grove, NY USA
关键词
methylation; biomarkers; pancreatic cancer; colorectal cancer; cancer screening; epigenetics; STOOL DNA TEST; PERIPHERAL-BLOOD; BREAST; GENES; HYPERMETHYLATION; PREPROENKEPHALIN; COLONOSCOPY; STATISTICS; BIOMARKERS; NEOPLASIA;
D O I
10.1002/ijc.28593
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Profiling of DNA methylation status of specific genes is a way to screen for colorectal cancer (CRC) and pancreatic cancer (PC) in blood. The commonality of methylation status of cancer-related tumor suppressor genes between CRC and PC is largely unknown. Methylation status of 56 cancer-related genes was compared in plasma of patients in the following cohorts: CRC, PC and healthy controls. Cross validation determined the best model by area under ROC curve (AUC) to differentiate cancer methylation profiles from controls. Optimal preferential gene methylation signatures were derived to differentiate either cancer (CRC or PC) from controls. For CRC alone, a three gene signature (CYCD2, HIC and VHL) had an AUC 0.9310, sensitivity (Sens)=0.826, specificity (Spec)=0.9383. For PC alone, an optimal signature consisted of five genes (VHL, MYF3, TMS, GPC3 and SRBC), AUC 0.848; Sens=0.807, Spec=0.666. Combined PC and CRC signature or combined cancer signature was derived to differentiate either CRC and PC from controls (MDR1, SRBC, VHL, MUC2, RB1, SYK and GPC3) AUC=0.8177, Sens=0.6316 Spec=0.840. In a validation cohort, N=10 CRC patients, the optimal CRC signature (CYCD2, HIC and VHL) had AUC 0.900. In all derived signatures (CRC, PC and combined cancer signature) the optimal panel used preferential VHL methylation. In conclusion, CRC and PC differ in specific genes methylated in plasma other than VHL. Preferential methylation of VHL is shared in the optimal signature for CRC alone, PC alone and combined PC and CRC. Future investigations may identify additional methylation markers informative for the presence of both CRC and PC. What's new? The potential use of the methylation status of cancer-related genes as a biomarker for plasma-based screening is an area of investigation for both pancreatic and colorectal cancer. While there is evidence that pancreatic and colorectal cancer may share methylation markerswhich might enable concomitant and non-invasive screeninghow similar their methylation profiles is remains unknown. Here, the authors defined the best methylation signature for both pancreatic and colorectal cancer and identified VHL as a shared optimal marker. The findings suggest that the methylation status of genes may be utilized as a potential source of information on both types of tumors.
引用
收藏
页码:2656 / 2662
页数:7
相关论文
共 50 条
  • [1] Methylation Profile of Circulating Plasma DNA in Patients With Pancreatic Cancer
    Melnikov, Anatoliy A.
    Scholtens, Denise
    Talamonti, Mark S.
    Bentrem, David J.
    Levenson, Victor V.
    JOURNAL OF SURGICAL ONCOLOGY, 2009, 99 (02) : 119 - 122
  • [2] DNA methylation patterns in blood of patients with colorectal cancer and adenomatous colorectal polyps
    Cassinotti, Elisa
    Melson, Joshua
    Liggett, Thomas
    Melnikov, Anatoliy
    Yi, Qilong
    Replogle, Charles
    Mobarhan, Sohrab
    Boni, Luigi
    Segato, Sergio
    Levenson, Victor
    INTERNATIONAL JOURNAL OF CANCER, 2012, 131 (05) : 1153 - 1157
  • [3] DNA methylation detection methods used in colorectal cancer
    Zhan, Yu-Xia
    Luo, Guang-Hua
    WORLD JOURNAL OF CLINICAL CASES, 2019, 7 (19) : 2916 - 2929
  • [4] Investigation of GHSR and GHRL methylation in colorectal cancer
    Coppede, Fabio
    Stoccoro, Andrea
    Lazzarotti, Alessandro
    Spisni, Roberto
    Migliore, Lucia
    EPIGENOMICS, 2018, 10 (12) : 1525 - 1539
  • [5] Differences in DNA Methylation Signatures Reveal Multiple Pathways of Progression From Adenoma to Colorectal Cancer
    Luo, Yanxin
    Wong, Chao-Jen
    Kaz, Andrew M.
    Dzieciatkowski, Slavomir
    Carter, Kelly T.
    Morris, Shelli M.
    Wang, Jianping
    Willis, Joseph E.
    Makar, Karen W.
    Ulrich, Cornelia M.
    Lutterbaugh, James D.
    Shrubsole, Martha J.
    Zheng, Wei
    Markowitz, Sanford D.
    Grady, William M.
    GASTROENTEROLOGY, 2014, 147 (02) : 418 - +
  • [6] Discovery and Validation of Methylation Signatures in Circulating Cell-Free DNA for the Detection of Colorectal Cancer
    Long, Zhiping
    Gao, Yu
    Han, Zhen
    Yuan, Heli
    Yu, Yue
    Pei, Bing
    Jia, Yanjie
    Ye, Jingyu
    Shi, Ying
    Zhang, Min
    Zhao, Yashuang
    Wu, Di
    Wang, Fan
    BIOMOLECULES, 2024, 14 (08)
  • [7] CpG-methylation-based risk score predicts progression in colorectal cancer
    Deng, Yao
    Wan, Hao
    Tian, Jianbo
    Cheng, Xiang
    Rao, Meilin
    Li, Jiaoyuan
    Zhang, Hongli
    Zhang, Ming
    Cai, Yimin
    Lu, Zequn
    Li, Yue
    Niu, Siyuan
    Shen, Na
    Chang, Jiang
    Fang, Zemin
    Zhong, Rong
    EPIGENOMICS, 2020, 12 (07) : 605 - 615
  • [8] Value of methylation markers in colorectal cancer
    Kong, Can
    Fu, Tao
    ONCOLOGY REPORTS, 2021, 46 (02)
  • [9] DNA methylation signatures associated with prognosis of gastric cancer
    Dai, Jin
    Nishi, Akihiro
    Li, Zhe-Xuan
    Zhang, Yang
    Zhou, Tong
    You, Wei-Cheng
    Li, Wen-Qing
    Pan, Kai-Feng
    BMC CANCER, 2021, 21 (01)
  • [10] Expression profiling of selected microRNA signatures in plasma and tissues of Saudi colorectal cancer patients by qPCR
    Al-Sheikh, Yazeed A.
    Ghneim, Hazem K.
    Softa, Khalil I.
    Al-Jobran, Abdulrahman A.
    Al-Obeed, Omar
    Mohamed, Mansoor A. V.
    Abdulla, Maha
    Aboul-Soud, Mourad A. M.
    ONCOLOGY LETTERS, 2016, 11 (02) : 1406 - 1412